Python - Repeat each element of a Pandas Series in a dissimilar way



To repeat each element of a Pandas Series in a dissimilar way, use the index.repeat() method. At first, import the required libraries -

import pandas as pd

Creating Pandas index −

index = pd.Index(['Car','Bike','Airplane', 'Ship'], name ='Transport') 

Display the Pandas index −

print("Pandas Index...\n",index)

Repeat each element of the index in a dissimilar way −

print("\nResult after repeating each index element in a different way...\n", index.repeat([2,3,5,7]))

Example

Following is the code −

import pandas as pd # Creating Pandas index index = pd.Index(['Car','Bike','Airplane', 'Ship'], name ='Transport') # Display the Pandas index print("Pandas Index...\n",index) # Return the number of elements in the Index print("\nNumber of elements in the index...\n",index.size) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # repeat each element of the index in a dissimilar way print("\nResult after repeating each index element in a different way...\n", index.repeat([2,3,5,7]))

Output 

This will produce the following output −

Pandas Index... Index(['Car', 'Bike', 'Airplane', 'Ship'], dtype='object', name='Transport') Number of elements in the index... 4 The dtype object... object Result after repeating each index element in a different way... Index(['Car', 'Car', 'Bike', 'Bike', 'Bike', 'Airplane', 'Airplane', 'Airplane', 'Airplane', 'Airplane', 'Ship', 'Ship', 'Ship', 'Ship', 'Ship', 'Ship', 'Ship'], dtype='object', name='Transport')
Updated on: 2021-10-13T07:52:42+05:30

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