#!/usr/bin/python

-*- coding: UTF-8 -*-

from pylab import *

import talib
from pylab import *
import mpl_finance as mpf
from matplotlib.pylab import date2num
import pandas as pd
import datetime
mpl.rcParams['font.sans-serif'] = ['SimHei']

quotes = []
stock = pd.read_csv('99999.csv', index_col=None)

for row in range(260):

sdate_plt = row
print(sdate_plt)
sopen = stock.loc[row, 'open']
shigh = stock.loc[row, 'high']
slow = stock.loc[row, 'low']
sclose = stock.loc[row, 'close']

datas = (sdate_plt, sopen, shigh, slow, sclose)  # 按照 candlestick_ohlc 要求的数据结构准备数据
quotes.append(datas)

fig, ax = plt.subplots(facecolor=(0, 0.3, 0.5), figsize=(12, 8))

fig.subplots_adjust(bottom=0.1)
ax.xaxis_date()
plt.xticks(rotation=45) # 日期显示的旋转角度
plt.title('2018年7月1日至今k线图',fontsize=18)

plt.ylabel('价格（元）',fontsize=15)
mpf.candlestick_ohlc(ax, quotes, width=0.7, colorup='r', colordown='green') # 上涨为红色K线，下跌为绿色，K线宽度为0.7

plt.annotate(s='brown x = buying; green x = selling',xy=('2016-7-11',4400), xytext=('2016-7-11',4400),bbox=dict(boxstyle='round,pad=0.5', fc='yellow', ec='k', lw=2, alpha=0.5))
plt.grid(axis='y',linestyle='-.')
plt.show()
1.

![图片说明](https://img-ask.csdn.net/upload/201908/22/1566463928_276488.png)

新定义一个K线的数据的结构类，再定义一个数组用来存放K线数据。 把csv的数据 遍历读取到数组中，读的时候过滤掉空数。

class HistoryData() :
    def __init__(self) :
        self.Date=None
        self.YClose=None
        self.Open=None
        self.Close=None
        self.High=None
        self.Low=None
        self.Vol=None
        self.Amount=None
        self.Time=None

再定义一个类用来存放HistoryData数组的

class ChartData:
    def __init__(self) :
        self.Data=[];  # 存放HistoryDat 数组


    # 获取收盘价
    def GetClose(self) :
        result=[None] * len(self.Data)
        for i in range(len(self.Data)) :
            result[i]=self.Data[i].Close
        return result

    # 获取前收盘
    def GetYClose(self) :
        result=[None] * len(self.Data)
        for i in range(len(self.Data)) :
            result[i]=self.Data[i].YClose
        return result