为什么 matplotlib 不能在同一张图上绘制多条线？

Question

我正在使用一个在线回测平台 Quantconnect，它使用 jupyter 作为他们的研究环境。

我有以下代码：

fig, ax = plt.subplots()

expiry_range = [180, 360]#, 540, 720]

for upper in expiry_range:

    data = getAllOptionChains(symbols, -200, 200, upper-30, upper, datetime(2020, 1, 16, 10, 10), datetime(2020, 1, 16, 10, 11))

    clean = data[data['S/E'] <1.2]

    clean = clean.sort_values('S/E')

    params, params_covariance = curve_fit(func,np.asarray(clean['S/E']).astype(np.float64), np.asarray(clean['W/E']).astype(np.float64))

    #ax.scatter(np.asarray(clean['S/E']).astype(np.float64), np.asarray(clean['W/E']).astype(np.float64))

    ax.plot(np.asarray(clean['S/E']).astype(np.float64), func(np.asarray(clean['S/E']).astype(np.float64), params[0], params[1]))

我试图在同一张图上绘制 2 条线。但我只能在情节中看到一条线。我做错了什么？

这是我得到的情节

数据样本clean

  expiry                     symbol          W/E        S/E

26 2020-06-19  UVXY XFH59VEMBEQU|UVXY 2T  0.000864865  0.0577838

24 2020-06-19  UVXY XFH59UN03NNQ|UVXY 2T  0.000277778  0.0593889

23 2020-06-19  UVXY XFH59VCYS292|UVXY 2T  0.000914286  0.0610857

21 2020-06-19  UVXY XFH59UMU5BLY|UVXY 2T   0.00635294  0.0628824

20 2020-06-19  UVXY XFH59VBB8PRA|UVXY 2T   0.00545455  0.0647879

18 2020-06-19  UVXY XFH59UMO6ZK6|UVXY 2T    0.0046875  0.0668125

17 2020-06-19  UVXY XFH59V9NPD9I|UVXY 2T   0.00483871  0.0689677

15 2020-06-19  UVXY XFH59UMI8NIE|UVXY 2T  0.000933333  0.0712667

14 2020-06-19  UVXY XFH59V8060RQ|UVXY 2T   0.00344828  0.0737241

12 2020-06-19  UVXY XFH59UMCABGM|UVXY 2T   0.00535714  0.0763571

11 2020-06-19  UVXY XFH59V6CMO9Y|UVXY 2T   0.00555556  0.0791852

9  2020-06-19  UVXY XFH59UM6BZEU|UVXY 2T   0.00384615  0.0822308

8  2020-06-19  UVXY XFH59V4P3BS6|UVXY 2T        0.006    0.08552

6  2020-06-19  UVXY XFH59UM0DND2|UVXY 2T   0.00416667  0.0890833

5  2020-06-19  UVXY XFH59V31JZAE|UVXY 2T   0.00156522  0.0929565

3  2020-06-19  UVXY XFH59ULUFBBA|UVXY 2T   0.00454545  0.0971818

2  2020-06-19  UVXY XFH59V1E0MSM|UVXY 2T   0.00104762    0.10181

0  2020-06-19  UVXY XFH59UK6Y3ZA|UVXY 2T      0.00395     0.1069

Answer 1

尝试在plt.show()外面写for loop以显示所有行