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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: 13-Oct-2021
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