def composite_df(df):
"""
composite indicators(columns) of entity in df
:param df:
"""
drawer = Drawer(main_df=df)
drawer.draw_pie(show=True)
def show_industry_composition(entity_ids, timestamp):
block_df = Block.query_data(provider='eastmoney', filters=[Block.category == 'industry'], index='entity_id')
block_ids = block_df.index.tolist()
block_df = BlockStock.query_data(entity_ids=block_ids, filters=[BlockStock.stock_id.in_(entity_ids)])
s = block_df['name'].value_counts()
cycle_df = pd.DataFrame(columns=s.index, data=[s.tolist()])
cycle_df['entity_id'] = 'stock_cn_industry'
cycle_df['timestamp'] = timestamp
drawer = Drawer(main_df=cycle_df)
drawer.draw_pie(show=True)
def composite_all(data_schema, column, timestamp, entity_ids=None, filters=None):
if type(column) is not str:
column = column.name
if filters:
filters.append([data_schema.timestamp == to_pd_timestamp(timestamp)])
else:
filters = [data_schema.timestamp == to_pd_timestamp(timestamp)]
df = data_schema.query_data(entity_ids=entity_ids, columns=['entity_id', 'timestamp', column], filters=filters,
index='entity_id')
entity_type, exchange, _ = decode_entity_id(df['entity_id'].iloc[0])
pie_df = pd.DataFrame(columns=df.index, data=[df[column].tolist()])
pie_df['entity_id'] = f'{entity_type}_{exchange}_{column}'
pie_df['timestamp'] = timestamp
drawer = Drawer(main_df=pie_df)
drawer.draw_pie(show=True)
def show_industry_composition(entity_ids, timestamp):
block_df = Block.query_data(provider="eastmoney",
filters=[Block.category == "industry"],
index="entity_id")
block_ids = block_df.index.tolist()
block_df = BlockStock.query_data(
entity_ids=block_ids, filters=[BlockStock.stock_id.in_(entity_ids)])
s = block_df["name"].value_counts()
cycle_df = pd.DataFrame(columns=s.index, data=[s.tolist()])
cycle_df["entity_id"] = "stock_cn_industry"
cycle_df["timestamp"] = timestamp
drawer = Drawer(main_df=cycle_df)
drawer.draw_pie(show=True)
def composite(entity_id, data_schema, columns, filters=None):
columns = ["entity_id", "timestamp"] + columns
df = data_schema.query_data(entity_id=entity_id, columns=columns, filters=filters)
drawer = Drawer(main_df=df)
drawer.draw_pie(show=True)
