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社区首页 >问答首页 >在烛台图顶部绘制移动平均线

在烛台图顶部绘制移动平均线
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Stack Overflow用户
提问于 2017-07-20 03:34:07
回答 2查看 7.4K关注 0票数 3

我已经使用pandas.DataFrame.rolling计算了移动平均值。所以我的数据帧看起来像这样,

代码语言:javascript
复制
   CurrencyPair           TimeStamp    Open    High     Low   Close      MA50
40       EURUSD 2017-07-10 16:00:00  1.1397  1.1401  1.1396  1.1397       NaN
41       EURUSD 2017-07-10 15:00:00  1.1389  1.1396  1.1386  1.1396       NaN
42       EURUSD 2017-07-10 14:00:00  1.1393  1.1396  1.1389  1.1390       NaN
43       EURUSD 2017-07-10 13:00:00  1.1393  1.1394  1.1387  1.1391       NaN
44       EURUSD 2017-07-10 12:00:00  1.1390  1.1395  1.1386  1.1392       NaN
45       EURUSD 2017-07-10 11:00:00  1.1392  1.1393  1.1384  1.1390       NaN
46       EURUSD 2017-07-10 10:00:00  1.1387  1.1395  1.1385  1.1395       NaN
47       EURUSD 2017-07-10 09:00:00  1.1397  1.1398  1.1387  1.1389       NaN
48       EURUSD 2017-07-10 08:00:00  1.1417  1.1418  1.1399  1.1403       NaN
49       EURUSD 2017-07-10 07:00:00  1.1400  1.1416  1.1400  1.1416  1.142272
50       EURUSD 2017-07-10 06:00:00  1.1410  1.1411  1.1399  1.1399  1.142154
51       EURUSD 2017-07-10 05:00:00  1.1405  1.1409  1.1404  1.1409  1.142068
52       EURUSD 2017-07-10 04:00:00  1.1406  1.1407  1.1402  1.1404  1.141952
53       EURUSD 2017-07-10 03:00:00  1.1406  1.1407  1.1403  1.1406  1.141804

我设法使用来自TimeStampOHLC的数据绘制了我的烛台图,但我不确定如何在我的烛台图顶部使用相同的轴来绘制我的移动平均线。我尝试过使用eurusd['MA50'].plot(ax = ax),但出现了ValueError: ordinal must be >= 1错误。

这是我的代码,

代码语言:javascript
复制
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime as dt
from mpl_finance import candlestick_ohlc

eurusd = pd.read_csv('fxhistoricaldata_EURUSD_hour.csv')
eurusd['TimeStamp'] = pd.to_datetime(eurusd['TimeStamp'], format = '%d/%m/%Y %H:%M')

# Set date & time range
# start_date (Y-m-d H-M) & end_date (Y-m-d H-M)
mask = (eurusd['TimeStamp'] >= '2017-07-10 3:00') & (eurusd['TimeStamp'] <= '2017-07-12 8:00')
eurusd = eurusd.loc[mask]

# Calculate Moving Averages MA50 
eurusd = eurusd.reindex(columns = np.append(eurusd.columns, ['MA50']))
eurusd['MA50'] = eurusd[['Close']].rolling(50).mean()

print(eurusd)

eurusd['TimeStamp'] = eurusd['TimeStamp'].map(lambda d: mdates.datestr2num(dt.datetime.strftime(d, '%Y-%m-%d %H:%M')))

fig, ax = plt.subplots()
ax.xaxis_date()
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y/%m/%d %H:%M'))
ax.grid(True, color = 'k', alpha = 0.5)
plt.xticks(rotation = 45)
plt.xlabel("Date")
plt.ylabel("Price")
plt.title("EUR/USD")

candlestick_ohlc(ax, eurusd[['TimeStamp','Open','High','Low','Close']].values, width = 0.01, colorup = 'g')
eurusd['MA50'].plot(ax = ax)

plt.show()

这是完整的错误日志,

代码语言:javascript
复制
    ticks = self.get_major_ticks()
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\axis.py", line 1320, in get_major_ticks
    numticks = len(self.get_major_locator()())
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\dates.py", line 986, in __call__
    self.refresh()
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\dates.py", line 1006, in refresh
    dmin, dmax = self.viewlim_to_dt()
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\dates.py", line 763, in viewlim_to_dt
    return num2date(vmin, self.tz), num2date(vmax, self.tz)
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\dates.py", line 401, in num2date
     return _from_ordinalf(x, tz)
  File "C:\Users\Meng Da\AppData\Local\Programs\Python\Python36-32\lib\site-
packages\matplotlib\dates.py", line 254, in _from_ordinalf
    dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
ValueError: ordinal must be >= 1

任何帮助都是非常感谢的。谢谢!

EN

回答 2

Stack Overflow用户

回答已采纳

发布于 2017-07-21 00:58:48

我设法通过使用ax.plot(eurusd['TimeStamp'], eurusd['MA50'])解决了这个问题。以防有人遇到类似的问题。

票数 2
EN

Stack Overflow用户

发布于 2017-07-20 04:06:59

看起来你对斧头有意见。你到底想通过subplot2grid达到什么目的?如果您删除它,那么它可以开箱即用。注意,我使用的是candlestick2_ohlc。您还需要添加日期,我相信您已经弄清楚了。

代码语言:javascript
复制
from pandas_datareader import data
import matplotlib.pyplot as plt
from matplotlib.finance import candlestick2_ohlc

aapl = data.DataReader('AAPL', 'google', '2017-06-01')
aapl['MA50'] = aapl["High"].rolling(10).mean()
aapl.reset_index(inplace=True)

fig, ax = plt.subplots()
plt.xticks(rotation = 45)
plt.xlabel("Date")
plt.ylabel("Price")
plt.title("EUR/USD")

candlestick2_ohlc(ax, aapl.Open, aapl.High, aapl.Low, aapl.Close, width=1, colorup='g')
aapl.MA50.plot(ax=ax)

plt.show()
票数 2
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页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/45199532

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