Python量化交易-绘制蜡烛图 !这个图不像你的钱哦！

mpl_finance模块已经从matlibplot里独立出来，实现了蜡烛线绘制功能，其包含的函数有：
1、 candlestick2_ochl(ax,opens,closes,highs,lows,width=4,colorup='k',colordown='r',alpha=0.75)
2、 candlestick2_ohlc(ax,opens,closes,highs,lows,width=4,colorup='k',colordown='r',alpha=0.75)
3、 candlestick_ochl(ax,quotes,width=0.2,colorup='k',colordown='r',alpha=1.0)
4、 candlestick_ohlc(ax,quotes,width=0.2,colorup='k',colordown='r',alpha=1.0)
5、 plot_day_summary2_ochl(ax,opens,closes,highs,lows,ticksize=4,colorup='k',colordown='r')
6、 plot_day_summary2_ohlc(ax,opens,highs,lows,closes,ticksize=4,colorup='k',colordown='r')
7、 plot_day_summary_oclh(ax,quotes,ticksize=3,colorup='k',colordown='r')
8、 plot_day_summary_ohlc(ax,quotes,ticksize=3,colorup='k',colordown='r')
9、 volume_overlay(ax,opens,closes,volummes,colorup='k',colordown='r',width=4,alpha=1.0)
10、 volume_overlay2(ax,closes,volumes,colorup='k',colordown='r',width=4,alpha=1.0)
11、 volume_overlay3(ax,quotes,colorup='k',colordown='r',width=4,alpha=1.0)
注意点：
mpl_finance模块使用时间需要是浮点类型数据，需要使用matplotlib中dates模块的date2num函数进行转换。
转换方式如下：
timeRecord = dts.date2num(datetime.datetime(yearTime,mothTime,dayTime,hourTime,minitueTime,secTime,msSecTime))
相关代码如下：
# 导入相关库
# import datetime
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.dates import MONDAY, DateFormatter, DayLocator, WeekdayLocator
import tushare as ts
from mpl_finance import candlestick_ohlc
# import numpy as np
mondays = WeekdayLocator(MONDAY)        # major ticks on the mondays
alldays = DayLocator()              # minor ticks on the days
weekFormatter = DateFormatter('%b %d')  # e.g., Jan 12
dayFormatter = DateFormatter('%d')      # e.g., 12
# a = ts.get_hist_data('600848',start='2018-01-05',end='2018-02-01')
quotes = ts.get_k_data('600519', ktype='D', autype='qfq', start='2019-01-01', end='')
print(quotes.index)
quotes.index = pd.to_datetime(quotes['date'])
print(quotes.index)
# quotes = pd.DataFrame(quotes)
# select desired range of dates
# quotes = quotes[(quotes.index >= date1) & (quotes.index <= date2)]
fig, ax = plt.subplots()
fig.subplots_adjust(bottom=0.2)
# ax.xaxis.set_major_locator(mondays)
ax.xaxis.set_minor_locator(alldays)
# ax.xaxis.set_major_formatter(weekFormatter)
# ax.xaxis.set_minor_formatter(dayFormatter)
# plot_day_summary(ax, quotes, ticksize=3)
candlestick_ohlc(ax, zip(mdates.date2num(quotes.index.to_pydatetime()),quotes['open'], quotes['high'],quotes['low'], quotes['close']),width=0.6,colorup='r', colordown='g')
ax.xaxis_date()
ax.autoscale_view()
plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right')
plt.show()
# 24     2019-02-12

 

 

 

 

 

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