drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)
drop a column from dataframe
#To delete the column without having to reassign df
df.drop('column_name', 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 column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
# Remove all columns between column index 1 to 3
df.drop(df.iloc[:, 1:3], inplace = True, axis = 1)
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