Wednesday, 23 June 2021

HANDLING MISSING DATA (FillNa) IN PANDAS



Firstly, we are importing an excel sheet as a DataFrame,
 

import pandas as pd
ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")
dt = pd.DataFrame(ds)
print(dt)








Now, Let's perform some operations related to FillNa()











Join us: https://t.me/jupyter_python

0 Comments:

Post a Comment

Popular Posts

Categories

100 Python Programs for Beginner (49) AI (34) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (173) C (77) C# (12) C++ (82) Course (67) Coursera (226) Cybersecurity (24) data management (11) Data Science (128) Data Strucures (8) Deep Learning (20) Django (14) Downloads (3) edx (2) Engineering (14) Excel (13) Factorial (1) Finance (6) flask (3) flutter (1) FPL (17) Google (34) Hadoop (3) HTML&CSS (47) IBM (25) IoT (1) IS (25) Java (93) Leet Code (4) Machine Learning (59) Meta (22) MICHIGAN (5) microsoft (4) Nvidia (3) Pandas (4) PHP (20) Projects (29) Python (929) Python Coding Challenge (351) Python Quiz (21) Python Tips (2) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (3) Software (17) SQL (42) UX Research (1) web application (8) Web development (2) web scraping (2)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses