How to use applymap() in Pandas

How to use applymap() in Pandas

The applymap() function in Pandas is used to apply a function to every element in a dataframe.

Here's an example:

import pandas as pd

# create a sample dataframe
df = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# define a function that will be applied to each element
def add_one(x):
    return x + 1

# apply the function to the dataframe using applymap()
df_new = df.applymap(add_one)

print(df_new)

The resulting dataframe df_new will have all its elements incremented by one:

   0  1  2
0  2  3  4
1  5  6  7
2  8  9 10

You can also use a lambda function with applymap() like this:

# apply a lambda function to the dataframe using applymap()
df_new = df.applymap(lambda x: x + 1)

print(df_new)

The resulting dataframe will be the same as before.

applymap() only works element-wise and will not work with functions that expect Series or DataFrame objects as input. In that case, you can use the apply() method instead.