def drop_feature(fn, feature, fn_out=None):
Filefunctions.exists_assert(fn)
assert (isinstance(feature, str) or isinstance(feature, int))
df = import_df(fn)
if isinstance(feature, int):
feature = df.columns[feature]
if feature not in df.columns:
warn('Feature is not a column')
return
df.drop(labels=[feature], axis=1, inplace=True)
if fn_out is None:
fn_out = fn
export_df(df, fn_out)
def sort_file_on_date(fn_in, feature, fn_out=None):
assert (isinstance(feature, str) or isinstance(
feature, int)), 'Feature must be str or int: {}'.format(feature)
Filefunctions.exists_assert(fn_in)
df = import_df(fn_in)
if isinstance(feature, int):
feature = df.columns[feature]
fixDates(frame=df, date_column_string=feature)
df.sort_values(by=[feature], ascending=True, inplace=True)
if fn_out is None:
fn_out = fn_in
export_df(df, fn_out)