Pandas drop columns by index

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)

Python pandas drop column by index

df.drop(a_dataframe.columns[0], axis=1, inplace=True)

Source: kite.com

Pandas drop columns by index

cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)

Source: stackoverflow.com

Pandas df remove index

df = df.reset_index(drop=True)

Df.drop index

df.reset_index(drop=True, inplace=True)

Source: kite.com

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