Python | Pandas Index.value_counts()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Index.value_counts() function returns object containing counts of unique values. The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default.

Syntax: Index.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)



Parameters :
normalize : If True then the object returned will contain the relative frequencies of the unique values.
sort : Sort by values
ascending : Sort in ascending order
bins : Rather than count values, group them into half-open bins, a convenience for pd.cut, only works with numeric data
dropna : Don’t include counts of NaN.

Returns : counts : Series

Example #1: Use Index.value_counts() function to count the number of unique values in the given Index.

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index(['Harry', 'Mike', 'Arther', 'Nick',
                'Harry', 'Arther'], name ='Student')
  
# Print the Index
print(idx)

chevron_right


Output :

Let’s find the count of all unique values in the index.

filter_none

edit
close

play_arrow

link
brightness_4
code

# find the count of unique values in the index
idx.value_counts()

chevron_right


Output :

The function has returned the count of all unique values in the given index. Notice the object returned by the function contains the occurrence of the values in descending order.
 
Example #2: Use Index.value_counts() function to find the count of all unique values in the given index.

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index([21, 10, 30, 40, 50, 10, 50])
  
# Print the Index
print(idx)

chevron_right


Output :

Let’s count the occurrence of all the unique values in the Index.

filter_none

edit
close

play_arrow

link
brightness_4
code

# for finding the count of all 
# unique values in the index.
idx.value_counts()

chevron_right


Output :

The function has returned the count of all unique values in the index.




My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.