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.
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.
df – Data frame with read in data.