invalid Matplotlib date value. This often happens if you pass a non-datetime value to an axis that

結論：移動平均線是不能和pd.to_datetime()一起的。

原因：stock_nums.close.rolling(5).mean().plot(label=‘ma5’,color=‘y’) 的下標stock_nums.index必須是dtype=‘object’，不能是dtype='datetime64[ns]，pd.to_datetime(stock.index)就把下標變爲日期型，導致兩者不兼容。除非新增stock_nums.index = x，把下標換成數字，就沒事了。

import talib
from mpl_finance import candlestick_ochl
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.pylab import date2num

stock = pd.read_csv('../stock_day.csv')
stock.sort_index(inplace=True)

# stock.index = pd.to_datetime(stock.index)
# stock['date'] = date2num(stock.index)
index = [i for i in range(stock.shape[0])]
stock['index'] = index
stock_k = stock[['index',"open","close","high","low"]]

nums = 200
stock_nums = stock_k[:nums]
arr = stock_nums.values
x = [i for i in range(nums)]
# stock_nums.index = x
stock_nums.index

dif,dea,bar = talib.MACD(stock_nums['close'].values,fastperiod=12,slowperiod=26,signalperiod=9)
fig,ax = plt.subplots(nrows=1,ncols=1,figsize=(18,8),dpi=100)
# ax.xaxis_date()

# bar[np.isnan(bar)] = 0
# plt.plot(x,dif,color='B',label='差離值 DIF')
# plt.plot(x,dea,color='m',label='訊號線 DEA')


# red_hist = np.where(bar>=0,bar,0)
# green_hist = np.where(bar<0,bar,0)
# plt.bar(x,red_hist,color='r',label='紅色MACD值')
# plt.bar(x,green_hist,color='g',label='綠色MACD值')


candlestick_ochl(ax,arr,colorup='g',colordown='r')

stock_nums.close.rolling(5).mean().plot(label='ma5',color='y')
stock_nums.close.rolling(10).mean().plot(label='ma10',color='k')

plt.legend()

plt.show()