python绘制单列多色柱状图_python同一刻度对应多个相同颜色的柱状-优快云博客

本文链接：https://blog.youkuaiyun.com/kun_coder/article/details/117223888

本文介绍如何使用Python进行单列多色柱状图的绘制，通过实例展示具体的代码实现，帮助读者掌握这一数据可视化技巧。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

import pandas as pd


dfA = pd.read_excel('E:/画图/WashingMachine.xlsx')

dtdA = pd.to_datetime(dfA['价格'], infer_datetime_format=True)
month1 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(0, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'], infer_datetime_format=True) <= pd.to_datetime(1000, infer_datetime_format=True))]
month2 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(1000, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'], infer_datetime_format=True) <= pd.to_datetime(2000, infer_datetime_format=True))]
month3 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(2000, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'], infer_datetime_format=True) <= pd.to_datetime(3000, infer_datetime_format=True))]
month4 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(3000, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'], infer_datetime_format=True) <= pd.to_datetime(4000, infer_datetime_format=True))]
month5 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(4000, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'], infer_datetime_format=True) <= pd.to_datetime(5000, infer_datetime_format=True))]
month6 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) >= pd.to_datetime(5000, infer_datetime_format=True))
                & (pd.to_datetime(dfA['价格'