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