def distribute(entity_ids, data_schema, columns, histnorm="percent", nbinsx=20, filters=None):
columns = ["entity_id", "timestamp"] + columns
df = data_schema.query_data(entity_ids=entity_ids, columns=columns, filters=filters)
if not entity_ids:
df["entity_id"] = "entity_x_distribute"
drawer = Drawer(main_df=df)
drawer.draw_histogram(show=True, histnorm=histnorm, nbinsx=nbinsx)
def distribute(entity_ids, data_schema, columns, histnorm='percent', nbinsx=20, filters=None):
columns = ['entity_id', 'timestamp'] + columns
df = data_schema.query_data(entity_ids=entity_ids, columns=columns, filters=filters)
if not entity_ids:
df['entity_id'] = 'entity_x_distribute'
drawer = Drawer(main_df=df)
drawer.draw_histogram(show=True, histnorm=histnorm, nbinsx=nbinsx)
def distribute_df(df, histnorm="percent", nbinsx=20):
"""
distribute indicators(columns) of entities in df
:param df: normal df
:param histnorm: "percent", "probability", default "percent"
:param nbinsx:
"""
drawer = Drawer(main_df=df)
drawer.draw_histogram(show=True, histnorm=histnorm, nbinsx=nbinsx)
