.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/0_Database_handling/plot_explore_database_vaex.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        You can download :ref:`below <sphx_glr_download_auto_examples_0_Database_handling_plot_explore_database_vaex.py>`
        the full example code and run it with 🔬 `Radis-Lab <https://radis.github.io/radis-lab/>`__,

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_0_Database_handling_plot_explore_database_vaex.py:


.. _example_explore_database_vaex:

================================
Explore Line Database Parameters
================================

Database will be downloaded automatically and can be edited locally.

The :ref:`Download HITEMP Database example <example_download_hitemp>` showed
how to download the HITEMP database under Pandas format.

RADIS can also be used to explore and visualize larger databases, using the
underlying :py:mod:`vaex` library.

.. GENERATED FROM PYTHON SOURCE LINES 18-24

.. code-block:: Python


    from radis.io.hitemp import fetch_hitemp

    df = fetch_hitemp("CO2", output="vaex", load_wavenum_min=2150, load_wavenum_max=2450)
    print(f"{len(df)} lines in HITEMP CO2; 2150 - 2450 cm-1")





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    Downloading 02_02125-02250_HITEMP2010.zip for CO2 (1/2).
    Download complete. Parsing CO2 database to /home/docs/.radisdb/hitemp/CO2-02_02125-02250_HITEMP2010.hdf5
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)

    Downloading 02_02250-02500_HITEMP2010.zip for CO2 (2/2).
    Download complete. Parsing CO2 database to /home/docs/.radisdb/hitemp/CO2-02_02250-02500_HITEMP2010.hdf5
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/hitranapi.py:128: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
    The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

    For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.


      dg[c].replace(
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/api/tools.py:280: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      new_col = df["branch"].replace(mapping)
    Added HITEMP-CO2 database in /home/docs/radis.json
    In ``/home/docs/.radisdb/hitemp`` keep only relevant input files:
    /home/docs/.radisdb/hitemp/CO2-02_02125-02250_HITEMP2010.hdf5
    /home/docs/.radisdb/hitemp/CO2-02_02250-02500_HITEMP2010.hdf5
    1355761 lines in HITEMP CO2; 2150 - 2450 cm-1




.. GENERATED FROM PYTHON SOURCE LINES 25-34

Note the use of `output='vaex'` in :py:func:`~radis.io.hitemp.fetch_hitemp` above.
The returned DataFrame is a Vaex DataFrame.
Loading times takes only few tens of milliseconds even for the largest HITEMP or ExoMol
databases

We can also use Vaex graph functions.
See Vaex vizualisations : https://vaex.readthedocs.io/en/latest/guides/advanced_plotting.html#

For instance, we plot a :py:meth:`~vaex.viz.DataFrameAccessorViz.heatmap` showing Self and Air-broadening coefficients

.. GENERATED FROM PYTHON SOURCE LINES 34-41

.. code-block:: Python


    import matplotlib.pyplot as plt

    plt.figure()
    df.viz.heatmap("airbrd", "selbrd", limits="99%")

    # TODO / idea : compare CO2 broadening with Air broadening for HITRAN database ?



.. image-sg:: /auto_examples/0_Database_handling/images/sphx_glr_plot_explore_database_vaex_001.png
   :alt: plot explore database vaex
   :srcset: /auto_examples/0_Database_handling/images/sphx_glr_plot_explore_database_vaex_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <matplotlib.image.AxesImage object at 0x7fbe19417af0>



.. GENERATED FROM PYTHON SOURCE LINES 42-43

Or below we plot the number of lines using Vaex's :py:meth:`~vaex.viz.DataFrameAccessorViz.histogram

.. GENERATED FROM PYTHON SOURCE LINES 43-47

.. code-block:: Python


    plt.figure()
    df.viz.histogram("wav", shape=1000)
    plt.yscale("log")



.. image-sg:: /auto_examples/0_Database_handling/images/sphx_glr_plot_explore_database_vaex_002.png
   :alt: plot explore database vaex
   :srcset: /auto_examples/0_Database_handling/images/sphx_glr_plot_explore_database_vaex_002.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (1 minutes 0.866 seconds)


.. _sphx_glr_download_auto_examples_0_Database_handling_plot_explore_database_vaex.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_explore_database_vaex.ipynb <plot_explore_database_vaex.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_explore_database_vaex.py <plot_explore_database_vaex.py>`