Drop a column in pandas

Drop if nan in column pandas

df = df[df['EPS'].notna()]

Drop a column from dataframe

#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)

Source: stackoverflow.com

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)

Remove column from dataframe

df.drop('column_name', axis=1, inplace=True)

Source: stackoverflow.com

Drop a column in pandas

df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index

Source: stackoverflow.com

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