delete column pandas dataframe
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)delete column pandas dataframe
df.drop(['column_1', 'Column_2'], 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 columnsdrop a column from dataframe
df = df.drop('column_name', 1)how to delete a column from a dataframe in python
del df['column']drop a column from dataframe
#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.IndexCopyright © 2021 Codeinu
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