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Python Pandas - Return a Series containing counts of unique values from Index object
To return a Series containing counts of unique values from Index object, use the index.value_counts() method in Pandas.
At first, import the required libraries -
import pandas as pd
Creating Pandas index −
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
Display the Pandas index −
print("Pandas Index...\n",index)Count of unique values −
print("\nGet the count of unique values...\n",index.value_counts())
Example
Following is the code −
import pandas as pd
# Creating Pandas index
index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30])
# 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)
# count of unique values
print("\nGet the count of unique values...\n",index.value_counts())Output
This will produce the following output −
Pandas Index... Int64Index([50, 10, 70, 110, 90, 50, 110, 90, 30], dtype='int64') Number of elements in the index... 9 The dtype object... int64 Get the count of unique values... 50 2 110 2 90 2 10 1 70 1 30 1 dtype: int64
Updated on: 13-Oct-2021
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