apply()
works on both DataFrames and Series, allowing custom functions for transformation.map()
is specifically for Series objects and is useful for value replacement or mapping.applymap()
is applied to all elements in a DataFrame and is handy for element-wise operations.
apply()
apply()
is a Pandas DataFrame and Series method that allows us to apply a function to alter values along a specified axis (default is axis=0
for columns).
- Usage: Apply a function to alter values along an axis in a DataFrame or Series.
Syntax:
DataFrame.apply(func, axis=0)
: Applyfunc
along columns (default).Series.apply(func)
: Applyfunc
element-wise.
map()
map()
is a Pandas Series method that substitutes each value in a Series using either a function, dictionary, or another Series. It works only on Series objects.
- Usage: Substitute each value in a Series using a function, dictionary, or another Series (works on Series objects only).