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Python Pandas - Compute indexer and mask for new index given the current index
To compute indexer and mask for new index given the current index, use the index.get_indexer() method in Pandas.
At first, import the required libraries −
import pandas as pd
Creating Pandas index −
index = pd.Index([10, 20, 30, 40, 50, 60, 70])
Display the Pandas index −
print("Pandas Index...\n",index)Compute indexer and mask. Marked by -1, as it is not in index −
print("\nGet the indexes...\n",index.get_indexer([30, 40, 90, 100, 50]))
Example
Following is the code −
import pandas as pd
# Creating Pandas index
index = pd.Index([10, 20, 30, 40, 50, 60, 70])
# 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)
# Compute indexer and mask
# Marked by -1, as it is not in index
print("\nGet the indexes...\n",index.get_indexer([30, 40, 90, 100, 50]))Output
This will produce the following output −
Pandas Index... Int64Index([10, 20, 30, 40, 50, 60, 70], dtype='int64') Number of elements in the index... 7 Get the indexes... [ 2 3 -1 -1 4]
Updated on: 14-Oct-2021
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