pandas.DataFrame.mask

Replace values where the condition is True.

param cond

boolean Series/DataFrame, array-like, or callable

Where cond is False, keep the original value. Where True, replace with corresponding value from other. If cond is callable, it is computed on the Series/DataFrame and should return boolean Series/DataFrame or array. The callable must not change input Series/DataFrame (though pandas doesn’t check it).

New in version 0.18.1.

param other

scalar, Series/DataFrame, or callable

Entries where cond is True are replaced with corresponding value from other. If other is callable, it is computed on the Series/DataFrame and should return scalar or Series/DataFrame. The callable must not change input Series/DataFrame (though pandas doesn’t check it).

New in version 0.18.1.

param inplace

bool, default False

Whether to perform the operation in place on the data.

param axis

int, default None

Alignment axis if needed.

param level

int, default None

Alignment level if needed.

param errors

str, {‘raise’, ‘ignore’}, default ‘raise’

Note that currently this parameter won’t affect the results and will always coerce to a suitable dtype.

• ‘raise’ : allow exceptions to be raised.

• ‘ignore’ : suppress exceptions. On error return original object.

param try_cast

bool, default False

Try to cast the result back to the input type (if possible).

return

Same type as caller

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler