radis.io.tools module

Created on Fri Jul 6 13:52:04 2018.

@author: erwan

drop_object_format_columns(df, verbose=True)[source]

Remove ‘object’ columns in a pandas DataFrame.

They are not useful to us at this time, and they slow down all operations (as they are converted to ‘object’ in pandas DataFrame). If you want to keep them, better convert them to some numeric values

parse_hitran_file(fname, columns, count=- 1)[source]

Parse a file under HITRAN par format. Parsing is done in binary format with numpy.fromfile() so it’s as fast as possible.

Parameters
  • fname (str) – filename

  • columns (dict) – list of columns and their format

Other Parameters

count (int) – number of lines to read. If -1 reads all file.

Returns

df – dataframe with lines

Return type

pandas DataFrame

See also

Used

replace_PQR_with_m101(df)[source]

Return P, Q, R in column branch with -1, 0, 1 to get a fully numeric database. This improves performances quite a lot, as Pandas doesnt have a fixed-string dtype hence would use the slow object dtype.

Parameters

df (pandas Dataframe) – branch must be a column name

Returns

df is is modified in place

Return type

None