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- 我已经调换数据低于以下GROUPBY,它在底部
- 产生的输出,我不知道怎么拉子级数据来创建两个表。一个用于PUT,另一个用于CALL。
- ,其中X轴=罢工
- y轴= OI和
- 我想用matplotlib到两个柱状图叠加成一个。等安装图像
任何指针或更好的方法来创建以下输出这张图? 。创建条形图
df_OI = df[['oi','strike','type','expiry']].groupby([pd.Grouper(freq='D'),'strike','type','expiry']).agg(['sum'])
Created oi
sum
datetime strike type expiry
2017-09-29 130.0 PUT 2017-10-06 12
145.0 PUT 2017-10-06 21
147.0 PUT 2017-10-06 1
149.0 PUT 2017-10-06 2
150.0 CALL 2017-10-06 1
PUT 2017-10-06 111
152.5 CALL 2017-10-06 12
PUT 2017-10-06 100
155.0 CALL 2017-10-06 10
PUT 2017-10-06 66
157.5 CALL 2017-10-06 8
PUT 2017-10-06 29
160.0 CALL 2017-10-06 21
PUT 2017-10-06 1405
162.5 CALL 2017-10-06 14
PUT 2017-10-06 327
165.0 CALL 2017-10-06 56
PUT 2017-10-06 2383
167.5 CALL 2017-10-06 12
PUT 2017-10-06 2804
170.0 CALL 2017-10-06 354
PUT 2017-10-06 1945
172.5 CALL 2017-10-06 438
PUT 2017-10-06 3022
175.0 CALL 2017-10-06 3373
PUT 2017-10-06 2093
177.5 CALL 2017-10-06 1688
PUT 2017-10-06 1201
180.0 CALL 2017-10-06 8241
PUT 2017-10-06 2269
182.5 CALL 2017-10-06 2152
PUT 2017-10-06 219
185.0 CALL 2017-10-06 4008
PUT 2017-10-06 469
187.5 CALL 2017-10-06 2006
PUT 2017-10-06 270
190.0 CALL 2017-10-06 1354
PUT 2017-10-06 37
192.5 CALL 2017-10-06 484
195.0 CALL 2017-10-06 377
197.5 CALL 2017-10-06 31
200.0 CALL 2017-10-06 109
PUT 2017-10-06 3
202.5 CALL 2017-10-06 5
205.0 CALL 2017-10-06 5
'df_OI.plot(种类= '酒吧',层叠=真)的宽度; plt.show()'? –
关闭。只生成一个图表,不叠加[调用,拉动] x轴显示罢工+过期+调用或放 – Karun
有没有办法访问您的原始数据? –