如何结合matplotlib图？

发布于 2025-02-08 00:17:37 字数 1288 浏览 0 评论 0原文

导入LAPTOP_DEFECT文件后，我绘制了3个图表，用于1）随着时间的流逝，缺陷2）随着时间的流逝3）随着时间的流逝，缺陷率随时间限制。我想知道如何将所有3个图组合在1图中？

到目前为止，这是我到目前为止的：

import pandas as pd
laptop_defects = pd.read_excel('/content/Data_Analysis_Project.xlsx')
laptop_defects
import matplotlib.pyplot as plt
plt.plot(laptop_defects.Defects)
plt.plot(laptop_defects.Opportunities)

计算缺陷率

laptop_defects['Defect Rate'] = round(laptop_defects['Defects']/ laptop_defects['Opportunities'] * 1000000,0)
laptop_defects.head()

plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['Defect Rate']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['Mean Rate']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['2 Sigma limit']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['3 Sigma limit']);

原文

After importing the laptop_defect file, I plotted 3 graphs for 1) Defects over time 2) Opportunities over time 3) defect rate with mean rate and limits over time.
I was wondering how can I combine all 3 graphs in 1 figure?

Here's what I have so far:

import pandas as pd
laptop_defects = pd.read_excel('/content/Data_Analysis_Project.xlsx')
laptop_defects
import matplotlib.pyplot as plt
plt.plot(laptop_defects.Defects)
plt.plot(laptop_defects.Opportunities)

Calculate Defect Rate

laptop_defects['Defect Rate'] = round(laptop_defects['Defects']/ laptop_defects['Opportunities'] * 1000000,0)
laptop_defects.head()

plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['Defect Rate']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['Mean Rate']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['2 Sigma limit']);
plt.plot(laptop_defects ['Month ID(YYYYMM)'], laptop_defects['3 Sigma limit']);