In Python, the “df.fillna()”, “df.replace()” and the “df.apply()” methods are used to fill or replace the NA/NaN values with zeros. These methods are used to fill the NaN values of single, multiple, or entire DataFrame columns with the “zero” value. This guide delivered a...
fillna(0) does seem to catch np.nan for me in pandas 1.3.3, however, if using it on a slice of a dataframe inplace doesn't work jbrockmendel mentioned this issue Dec 18, 2021 ROADMAP: Consistent missing value handling with new NA scalar #28095 Open phofl mentioned this issue Apr...
and then, in _decode_datetime_with_pandas, the code casts a float NaN value to zero: xarray/xarray/coding/times.py Lines 216 to 262 in 979b998 def _decode_datetime_with_pandas( flat_num_dates: np.ndarray, units: str, calendar: str ) -> np.ndarray: if not _is_standard_cal...