python绘制k线图均线图

AAPL.csv 数据文件

Date,Close,Volume,Open,High,Low

06/23/2023, $186.68,53117000,$ 185.55, $187.56,$ 185.01

06/22/2023, $187.00,51245330,$ 183.74, $187.045,$ 183.67

06/21/2023, $183.96,49515700,$ 184.90, $185.41,$ 182.5901

06/20/2023, $185.01,49799090,$ 184.41, $186.10,$ 184.41

06/16/2023, $184.92,101256200,$ 186.73, $186.99,$ 184.27

06/15/2023, $186.01,65433170,$ 183.96, $186.52,$ 183.78

06/14/2023, $183.95,57462880,$ 183.37, $184.39,$ 182.02

06/13/2023, $183.31,54929130,$ 182.80, $184.15,$ 182.44

06/12/2023, $183.79,54755000,$ 181.27, $183.89,$ 180.97

06/09/2023, $180.96,48899970,$ 181.50, $182.23,$ 180.63

06/08/2023, $180.57,50214880,$ 177.895, $180.84,$ 177.46

06/07/2023, $177.82,61944620,$ 178.44, $181.21,$ 177.32

06/06/2023, $179.21,64848370,$ 179.965, $180.12,$ 177.43

06/05/2023, $179.58,121946500,$ 182.63, $184.951,$ 178.035

06/02/2023, $180.95,61996910,$ 181.03, $181.78,$ 179.26

06/01/2023, $180.09,68901810,$ 177.70, $180.12,$ 176.9306

05/31/2023, $177.25,99625290,$ 177.325, $179.35,$ 176.76

05/30/2023, $177.30,55964400,$ 176.96, $178.99,$ 176.57

05/26/2023, $175.43,54834980,$ 173.32, $175.77,$ 173.11

05/25/2023, $172.99,56058260,$ 172.41, $173.895,$ 171.69

demo.py

python 复制代码

import matplotlib.pyplot as plt
import mplfinance as mpf
import pandas as pd

plt.rcParams['font.family'] = ['SimHei']  # 设置中文字体
plt.rcParams['axes.unicode_minus'] = False  # 设置负号显示

# 读取股票数据
df = pd.read_csv('AAPL.csv', index_col='Date', parse_dates=True)
# 清洗数据
df['Close'] = df['Close'].str.replace('$', '').astype(float)
df['Open'] = df['Open'].str.replace('$', '').astype(float)
df['High'] = df['High'].str.replace('$', '').astype(float)
df['Low'] = df['Low'].str.replace('$', '').astype(float)

ma5 = df['MA5'] = df['Close'].rolling(5, min_periods=1).mean()
ma20 = df['MA20'] = df['Close'].rolling(20, min_periods=1).mean()
# 添加移动平均线参数
ap0 = [
    mpf.make_addplot(ma5, color="b", width=1.5),
    mpf.make_addplot(ma20, color="y", width=1.5),
]

market_colors = mpf.make_marketcolors(up='red', down='green', )

my_style = mpf.make_mpf_style(marketcolors=market_colors)
# 绘制K线图
mpf.plot(df, type='candle',
         figratio=(10, 4),
         mav=(10, 20),
         volume=True,
         # 显示非交易日期
         # show_nontrading=True,
         addplot=ap0,
         style=my_style)

mpf.show()