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Python Pandas - Return a new Index of the values selected by the indices
To return a new Index of the values selected by the indices, use the index.take() method in Pandas. At first, import the required libraries -
import pandas as pd
Creating Pandas index −
index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'], name ='Products')
Display the Pandas index −
print("Pandas Index...\n",index)Getting a new index of the values selected by indices −
print("\nA new Index of the values selected by the indices...\n",index.take([1,2]))Example
Following is the code −
import pandas as pd
# Creating Pandas index
index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'], name ='Products')
# 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)
# Getting a new index of the values selected by indices
print("\nA new Index of the values selected by the indices...\n",index.take([1,2]))Output
This will produce the following output −
Pandas Index... Index(['Electronics', 'Accessories', 'Decor', 'Books', 'Toys'], dtype='object', name='Products') Number of elements in the index... 5 The dtype object... object A new Index of the values selected by the indices... Index(['Accessories', 'Decor'], dtype='object', name='Products')
Updated on: 13-Oct-2021
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