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)

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