Difference between map, applymap and apply in Pandas

map

applymap

apply

Defined only in Series Defined only in Dataframe Defined in both Series and DataFrame
 Accepts dictionary, Series, or callable Accept callables only Accept callables only
Series.map() Operate on one element at time DataFrame.applymap() Operate on one element at a time operates on entire rows or columns at a time for Dataframe, and one at a time for Series.apply
Missing values will be recorded as NaN in the output. Performs better operation than apply(). Suited to more complex operations and aggregation.


Difference between map, applymap and apply methods in Pandas

Pandas library is extensively used for data manipulation and analysis. map(), applymap(), and apply() methods are methods of Pandas library in Python. The type of Output totally depends on the type of function used as an argument with the given method. 

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