cdf2df¶

heliopy.data.util.cdf2df(cdf, index_key, dtimeindex=True, badvalues=None, ignore=None)¶

Converts a cdf file to a pandas dataframe.

Note that this only works for 1 dimensional data, other data such as distribution functions or pitch angles will not work properly.

Parameters:	cdf (cdf) – Opened CDF file. index_key (string) – The CDF key to use as the index in the output DataFrame. dtimeindex (bool, optional) – If True, the DataFrame index is parsed as a datetime. Default is True. badvalues (dict, list, optional) – A dictionary that maps the new DataFrame column keys to a list of bad values to replace with nans. Alternatively a list of numbers which are replaced with nans in all columns. ignore (list, optional) – In case a CDF file has columns that are unused / not required, then the column names can be passed as a list into the function.
Returns:	df – Data frame with read in data.
Return type:	pandas.DataFrame