pandas.DataFrame.update

DataFrame.update(other, join='left', overwrite=True, filter_func=None, raise_conflict=False)

Modify DataFrame in place using non-NA values from passed DataFrame. Aligns on indices

Parameters:

other : DataFrame, or object coercible into a DataFrame

join : {‘left’}, default ‘left’

overwrite : boolean, default True

If True then overwrite values for common keys in the calling frame

filter_func : callable(1d-array) -> 1d-array<boolean>, default None

Can choose to replace values other than NA. Return True for values that should be updated

raise_conflict : boolean

If True, will raise an error if the DataFrame and other both contain data in the same place.

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.DataFrame.update.html