Breaking News: Grepper is joining You.com. Read the official announcement!

df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_') # checking for missing values df1.'_'

Evil Eel answered on July 26, 2022 Popularity 1/10 Helpfulness 1/10

answer df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_______') # checking for missing values df1.'_______'

df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_') # checking for missing values df1.'_'

Comment

df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_______') ## Complete the code to impute the data with median

# checking for missing values
df1.'_______' ## Complete the code to check missing values after imputing the above columns

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: Grepper

Tags: whatever

Link to this answer
Share Copy Link

Contributed on Jul 26 2022

Evil Eel

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.

df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_') # checking for missing values df1.'_'

Contents

More Related Answers

df1["main_camera_mp"] = df1["main_camera_mp"].fillna(df1["main_camera_mp"].'_') # checking for missing values df1.'_'

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.