Drop multiple columns pandas

yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)

Source: stackoverflow.com

Drop multiple columns in python

dataframe.drop(['columnname1', 'columnname2'], axis=1, inplace=True)

Python code to drop columns from dataframe

# Let df be a dataframe
# Let new_df be a dataframe after dropping a column

new_df = df.drop(labels='column_name', axis=1)

# Or if you don't want to change the name of the dataframe
df = df.drop(labels='column_name', axis=1)

# Or to remove several columns
df = df.drop(['list_of_column_names'], axis=1)

# axis=0 for 'rows' and axis=1 for columns

Drop a column in pandas

note: df is your dataframe

df = df.drop('coloum_name',axis=1)

Similar codes

0 vote174 views1 answer
Cant import flask mail
Python Flask
2 votes157 views2 answers
Np logical not
Python
0 vote121 views1 answer
Sys executable juypter is incorrect visual code
Python
0 vote154 views1 answer
Get source selenium python
Python
2 votes143 views3 answers
Python pywin32 get current cursor row
Python
0 vote132 views2 answers
Pandas apply check for string length in column
Python
1 vote134 views2 answers
Why use python
Python
0 vote150 views1 answer
Django command to fetch all columns of a table
Python
0 vote157 views1 answer
Filters rows using the given condition
Python
29 votes143 views2 answers
Insertion sort python
Python