Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python Pandas - Return a Series containing counts of unique values from Index object sorted in Ascending Order
To return a Series containing counts of unique values from Index object sorted in Ascending Order, use the index.value_counts() method with parameter ascending as True.
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 sorted in ascending order −
print("\nGet the count of unique values sorted in ascending order..." "\n",index.value_counts(ascending=True))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 sorted in ascending order
print("\nGet the count of unique values sorted in ascending order..." "\n",index.value_counts(ascending=True))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 sorted in ascending order... 10 1 70 1 30 1 50 2 110 2 90 2 dtype: int64
Updated on: 13-Oct-2021
166 Views
Advertisements