DataFrameNaFunctions.
fill
Replace null values, alias for na.fill(). DataFrame.fillna() and DataFrameNaFunctions.fill() are aliases of each other.
na.fill()
DataFrame.fillna()
DataFrameNaFunctions.fill()
value – int, long, float, string, bool or dict. Value to replace null values with. If the value is a dict, then subset is ignored and value must be a mapping from column name (string) to replacement value. The replacement value must be an int, long, float, boolean, or string.
subset – optional list of column names to consider. Columns specified in subset that do not have matching data type are ignored. For example, if value is a string, and subset contains a non-string column, then the non-string column is simply ignored.
>>> df4.na.fill(50).show() +---+------+-----+ |age|height| name| +---+------+-----+ | 10| 80|Alice| | 5| 50| Bob| | 50| 50| Tom| | 50| 50| null| +---+------+-----+
>>> df5.na.fill(False).show() +----+-------+-----+ | age| name| spy| +----+-------+-----+ | 10| Alice|false| | 5| Bob|false| |null|Mallory| true| +----+-------+-----+
>>> df4.na.fill({'age': 50, 'name': 'unknown'}).show() +---+------+-------+ |age|height| name| +---+------+-------+ | 10| 80| Alice| | 5| null| Bob| | 50| null| Tom| | 50| null|unknown| +---+------+-------+
New in version 1.3.1.