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 - Check if the Pandas Index with some NaNs is a floating type
To check if the Pandas Index with some NaNs is a floating type, use the index.is_floating() method. At first, import the required libraries −
import pandas as pd import numpy as np
Creating Pandas index with some NaNs −
index = pd.Index([5.7, 6.8, 10.5, np.nan,17.8, 25.6, np.nan ,np.nan, 50.2])
Display the Pandas index −
print("Pandas Index...\n",index)Check whether index values with some NaNs are floating type −
print("\nIndex values with some NaNs is a floating type?\n",index.is_floating())Example
Following is the code −
import pandas as pd
import numpy as np
# Creating Pandas index with some NaNs
index = pd.Index([5.7, 6.8, 10.5, np.nan,17.8, 25.6, np.nan ,np.nan, 50.2])
# 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)
# check whether index values with some NaNs are floating type
print("\nIndex values with some NaNs is a floating type?\n",index.is_floating())Output
This will produce the following output −
Pandas Index... Float64Index([5.7, 6.8, 10.5, nan, 17.8, 25.6, nan, nan, 50.2], dtype='float64') Number of elements in the index... 9 The dtype object... float64 Index values with some NaNs is a floating type? True
Updated on: 13-Oct-2021
73 Views
Advertisements