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

PythonServer Side ProgrammingProgramming

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')
raja
Updated on 13-Oct-2021 07:52:42

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