Answers for "how to drop multiple columns using pandas"

18

drop multiple columns pandas

yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)
Posted by: Guest on May-16-2020
4

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
Posted by: Guest on April-25-2020
6

drop multiple columns in python

dataframe.drop(['columnname1', 'columnname2'], axis=1, inplace=True)
Posted by: Guest on March-14-2021

Code answers related to "how to drop multiple columns using pandas"

Python Answers by Framework

Browse Popular Code Answers by Language