编程题¶

In [3]:

'''1、使用lambda 语句定义函数实现两个变量x和y的加法运算'''
myfunc = lambda x,y: x+y
myfunc(3,2)

Out[3]:

In [ ]:

'''获取2021年10月15日的A股股票代码池，并按股票代码排序'''
DataSource('bar1d_CN_STOCK_A').read()
instruments = list(reversed(list(ranker_prediction.instrument[ranker_prediction.instrument.apply(
                lambda x: x in equities)])))

In [7]:

'''获取A股2021年10月14日的平台内置features_CN_STOCK_A_G311因子表数据，并查看数据和因子列'''
df = DataSource("features_CN_STOCK_A_G311").read(start_date="2021-10-14", end_date="2021-10-14")
df.head()

Out[7]:

	rank_beta_sse50_30_0	rank_amount_81	rank_avg_turn_210	rank_beta_csi300_30_0	rank_amount_119	rank_return_360	rank_avg_turn_50	rank_return_80	rank_avg_amount_150	instrument	...	rank_amount_44	rank_beta_gem_90_0	rank_beta_csi100_120_0	rank_amount_102	rank_beta_industry_60_0	rank_amount_71	rank_beta_industry1_10_0	rank_avg_turn_90	rank_beta_sse50_90_0	rank_amount_54
0	0.985589	0.980347	0.059374	0.956316	0.987494	0.759799	0.082120	0.115838	0.981570	000001.SZA	...	0.958966	0.545729	0.989136	0.979225	0.956810	0.973569	0.871732	0.059424	0.992572	0.968529
1	0.869624	0.979884	0.173688	0.742400	0.986078	0.256886	0.212693	0.230520	0.983006	000002.SZA	...	0.957833	0.060817	0.902929	0.984360	0.964351	0.972190	0.855866	0.181291	0.938951	0.969897
2	0.319297	0.635376	0.867701	0.254898	0.615857	0.087924	0.798681	0.129249	0.559837	000004.SZA	...	0.760825	0.856778	0.653283	0.320495	0.852377	0.623305	0.599777	0.906917	0.399954	0.878905
3	0.161675	0.069595	0.313624	0.138708	0.205521	0.163665	0.323476	0.783584	0.173767	000005.SZA	...	0.179551	0.011606	0.078413	0.272409	0.170704	0.232360	0.144358	0.353760	0.080316	0.470011
4	0.499437	0.244624	0.097807	0.495609	0.507315	0.431144	0.090082	0.254566	0.236716	000006.SZA	...	0.177737	0.186630	0.473547	0.444911	0.370430	0.236727	0.222346	0.077994	0.511374	0.276853

5 rows × 232 columns