送書 | 手把手教你用Python直觀查看貴州茅臺(tái)股票交易數(shù)據(jù)

#  coding=utf-8# 代碼文件：chapter6/ch6.2.6.py
import matplotlib.pyplot as pltimport pandas as pd
plt.rcParams['font.family'] = ['SimHei']    # 設(shè)置中文字體plt.rcParams['axes.unicode_minus'] = False   # 設(shè)置負(fù)號(hào)正常顯示
plt.figure(figsize=(15, 5))
f = r'data\股票的歷史交易數(shù)據(jù).xlsx'

df = pd.read_excel(f)
df2 = df.query("Date >='2021-03-01' and Date < '2021-04-01'").sort_values(by='Date')  ①
# 繪制折線plt.plot(df2['Date'], df2['Volume'])            ②
plt.title('貴州茅臺(tái)股票')plt.ylabel('成交量')                      # 添加y軸標(biāo)題plt.xlabel('交易日期')                    # 添加x軸標(biāo)題plt.xticks(rotation=40)plt.show()

#  coding=utf-8# 代碼文件：chapter6/ch6.2.7.py
import matplotlib.pyplot as pltimport pandas as pd
plt.rcParams['font.family'] = ['SimHei']       # 設(shè)置中文字體plt.rcParams['axes.unicode_minus'] = False    # 設(shè)置負(fù)號(hào)正常顯示
plt.figure(figsize=(15, 5))
f?=?r'data\股票的歷史交易數(shù)據(jù).xlsx'
df = pd.read_excel(f)
df2 = df.query("Date >='2021-03-01' and Date < '2021-04-01'").sort_values(by='Date')
plt.title('貴州茅臺(tái)股票歷史OHLC折線圖')plt.plot(df2['Date'], df2['Open'], label='開盤價(jià)')     ①plt.plot(df2['Date'], df2['High'], label='最高價(jià)')plt.plot(df2['Date'], df2['Low'], label='最低價(jià)')plt.plot(df2['Date'], df2['Close'], label='收盤價(jià)')    ②
plt.ylabel('成交量')plt.xlabel('交易日期')plt.xticks(rotation=40)
plt.show()