python pandas drop column by index
df.drop(a_dataframe.columns[0], axis=1, inplace=True)python pandas drop column by index
df.drop(a_dataframe.columns[0], 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 columnspandas drop columns by index
cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)how to drop a column by name in pandas
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11drop a column in pandas
note: df is your dataframe
df = df.drop('coloum_name',axis=1)Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
