What is Pandas applymap() method

The applymap() method only works on a pandas Dataframe where a function is applied to every element individually. The function passed as an argument typically works on elements of the Dataframe applymap() and is typically used for elementwise operations. 

Python3




# The code below illustrates how applymap
# method works on pandas Dataframe:
# Importing pandas
import pandas as pd
 
# DataFrame generation
gfg_string = 'w3wiki'
gfg_list = 5 * [pd.Series(list(gfg_string))]
gfg_df = pd.DataFrame(data=gfg_list)
 
print("Original dataframe:\n" +
      gfg_df.to_string(index=False,
                       header=False), end='\n\n')
 
# Using applymap method for transforming
# characters into uppercase characters
# present in the original dataframe
new_gfg_df = gfg_df.applymap(str.upper)
print("Transformed dataframe:\n" +
      new_gfg_df.to_string(index=False,
                           header=False), end='\n\n')


Output: 

 

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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