给出以下Pandas数据帧的示例
date open high low close volume
0 2015-03-13 08:00:00 71.602 71.637 71.427 71.539 0.000249
1 2015-03-13 08:01:00 71.541 71.563 71.461 71.501 0.000215
2 2015-03-13 08:02:00 71.521 71.537 71.504 71.533 0.000048
3 2015-03-13 08:03:00 71.530 71.530 71.510 71.524 0.000016
4 2015-03-13 08:04:00 71.504 71.578 71.504 71.515 0.000045
5 2015-03-13 08:05:00 71.524 71.581 71.522 71.538 0.000062
6 2015-03-13 08:06:00 71.562 71.621 71.542 71.550 0.000095
7 2015-03-13 08:07:00 71.555 71.576 71.544 71.565 0.000051
8 2015-03-13 08:08:00 71.555 71.566 71.554 71.565 0.000023
9 …下午好，
我想看看你们中谁能在几分钟内帮我做个蜡烛图。我已经设法在几天内绘制出它们的图形，但是我不知道如何在几分钟内完成它们。
附加代码。
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import dates, ticker
import matplotlib as mpl
from mpl_finance import candlestick_ohlc
mpl.style.use('default')
data = [('2017-01-02 02:00:00', '1.05155', '1.05197', '1.05155', '1.0519'),
('2017-01-02 02:01:00', '1.05209', '1.05209', '1.05177', '1.05179'),
('2017-01-02 02:02:00', '1.05177', '1.05198', '1.05177', '1.05178'),
('2017-01-02 02:03:00', '1.05188', '1.052', '1.05188', '1.052'),
('2017-01-02 02:04:00', '1.05196', '1.05204', '1.05196', '1.05203'),
('2017-01-02 02:06:00', '1.05196', '1.05204', '1.05196', '1.05204'),
('2017-01-02 02:07:00', '1.05205', '1.0521', '1.05205', '1.05209'),
('2017-01-02 02:08:00', '1.0521', '1.0521', '1.05209', '1.05209'),
('2017-01-02 02:09:00', '1.05208', '1.05209', '1.05208', …