pandas.DataFrame.applymap#

DataFrame.applymap(func, na_action=None, **kwargs)[source]#

Apply a function to a Dataframe elementwise.

Deprecated since version 2.1.0: DataFrame.applymap has been deprecated. Use DataFrame.map instead.

This method applies a function that accepts and returns a scalar to every element of a DataFrame.

Parameters:
funccallable

Python function, returns a single value from a single value.

na_action{None, ‘ignore’}, default None

If ‘ignore’, propagate NaN values, without passing them to func.

**kwargs

Additional keyword arguments to pass as keywords arguments to func.

Returns:
DataFrame

Transformed DataFrame.

See also

DataFrame.apply

Apply a function along input axis of DataFrame.

DataFrame.map

Apply a function along input axis of DataFrame.

DataFrame.replace

Replace values given in to_replace with value.

Examples

>>> df = pd.DataFrame([[1, 2.12], [3.356, 4.567]])
>>> df
       0      1
0  1.000  2.120
1  3.356  4.567

>>> df.map(lambda x: len(str(x)))
   0  1
0  3  4
1  5  5