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 - Show which entries in a Pandas Index are NA
To show which entries in a Pandas Index are NA, use the index.isna() in Pandas. At first, import the required libraries -
import pandas as pd import numpy as np
Creating Pandas index with some NaN values −
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
Display the Pandas index −
print("Pandas Index...\n",index)Show which entries in a Pandas index are NA. Return True for NA entries −
print("\nCheck which entries are NA...\n", index.isna())
Example
Following is the code −
import pandas as pd
import numpy as np
# Creating Pandas index with some NaN values
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
# 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)
# Show which entries in a Pandas index are NA
# Return True for NA entries
print("\nCheck which entries are NA...\n", index.isna())Output
This will produce the following output −
Pandas Index... Float64Index([5.0, 65.0, nan, 17.0, 75.0, nan], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Check which entries are NA... [False False True False False True]
Updated on: 13-Oct-2021
64 Views
Advertisements