![image-20211004185826540.png](https://developer.hs.net/storage/attachments/2021/10/04/CUrvLnF8g4KPlIkRTxmxoYdZN5pjUrEB2A2ZP0RD_thumb.png "3212")

**上一篇[《用Python繪製專業的K線圖》](https://developer.hs.net/thread/1424)，講解了資料獲取、K線圖繪製及成交量繪製等內容。本篇將在上一篇的基礎上，繼續講解移動均線的繪製。**

#### 1、獲取資料

我們從[恆有數](https://udata.hs.net/home?channel_source=hs.bbs)金融資料社群，獲取股票市場歷史行情資料。我們獲取2021年3月1號至2021年6月1號，恆生電子（600570.SH）的日行情資料，並做簡單處理，程式碼及執行結果如下。

```python
# 載入取數與繪圖所需的函式包
import pandas as pd
import datetime
from hs_udata import set_token,stock_quote_daily
from mpl_finance import candlestick_ohlc
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
mpl.rcParams['font.sans-serif'] = ['SimHei'] # 指定預設字型
mpl.rcParams['axes.unicode_minus'] = False  # 解決儲存影像是負號'-'顯示為方塊的問題

def GetData(stock_code,start,end):
    #stock_code：獲取股票資料的股票程式碼
    #	  start：開始日期
    #		end：結束日期
    date_start=datetime.datetime.strptime(start,'%Y-%m-%d')
    date_end  =datetime.datetime.strptime(end,'%Y-%m-%d')
    data = pd.DataFrame([])
    while date_start<date_end: https:="" adjust_way="" data_i="stock_quote_daily(en_prod_code=stock_code" data="http://blog.itpub.net/70001864/viewspace-2794893/pd.concat([data,data_i],axis=0)" date_start="" return="" stock_code="600570.SH" start="2021-03-01" end="2021-06-01" set_token="" data_price="data[['trading_date','open_price','high_price','low_price'" data_price.set_index="" inplace="True)" candlestick_ohlc="" list="" x:mdates.date2num="" fig="plt.figure(figsize=(12,10))" grid="plt.GridSpec(12," wspace="0.5," hspace="0.5)" k="" ohlc="data_price[['Date','open_price','high_price','low_price','close_price']]" ohlc.loc="" range="" ax1="fig.add_subplot(grid[0:8,0:12])" ohlc.values.tolist="" width=".7" colorup="red" colordown="green" ax1.plot="" color="red" lw="2," label="MA (5)" plt.title="" plt.ylabel="" plt.legend="" ax1.set_xticks="" ax1.set_xticklabels="" data_volume="data_price[['Date','close_price','open_price','business_amount']]" data_volume.apply="" row:="" if="" row="">= row['open_price'] else 0, axis=1)        # 計算成交量柱狀圖對應的顏色，使之與K線顏色一致
data_volume.Date = ohlc.Date
# 繪製成交量
ax2 = fig.add_subplot(grid[8:10,0:12])  # 設定成交量圖形尺寸
ax2.bar(data_volume.query('color==1')['Date']
        , data_volume.query('color==1')['business_amount']
        , color='r')                    # 繪製紅色柱狀圖
ax2.bar(data_volume.query('color==0')['Date']
        , data_volume.query('color==0')['business_amount']
        , color='g')                    # 繪製綠色柱狀圖
plt.xticks(rotation=30) 
plt.xlabel('日 期',fontsize = 14)                               # 設定橫軸標題
# 修改橫軸日期標註
date_list = ohlc.index.tolist()           # 獲取日期列表
xticks_len = round(len(date_list)/(len(ax2.get_xticks())-1))      # 獲取預設橫軸標註的間隔
xticks_num = range(0,len(date_list),xticks_len)                   # 生成橫軸標註位置列表
xticks_str = list(map(lambda x:date_list[int(x)],xticks_num))     # 生成正在標註日期列表
ax2.set_xticks(xticks_num)                                        # 設定橫軸標註位置
ax2.set_xticklabels(xticks_str)                                   # 設定橫軸標註日期
plt.show()
```

![image-20211004185753292.png](https://developer.hs.net/storage/attachments/2021/10/04/nslupofWWv2PsOImlKA5SvbdJjwMwK1MAqBHwudt_thumb.png "3215")</date_end:>

用Python繪製移動均線【含原始碼】

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