Answers for "remove column from dataframe"

drop a column pandas

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 columns

delete unnamed coloumns in pandas

# Best method so far.
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]

remove column from dataframe

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

python - drop a column

# axis=1 tells Python that we want to apply function on columns instead of rows
# To delete the column permanently from original dataframe df, we can use the option inplace=True
df.drop(['A', 'B', 'C'], axis=1, inplace=True)