如何绘制饼图？

Question

我有如下数据：

Machine_id 循环空闲
81091001 41000000000 19000000000
81091001 40000000000 19000000000
81091001 41000000000 19000000000
81091001 41000000000 20000000000
81091001 41000000000 19000000000

绘制饼图的代码：

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(palette='Paired')

df = pd.read_csv('sample1.csv')

df = df.set_index('Machine_id')

for ind in df.index:
     fig, ax = plt.subplots(1,1)
     fig.set_size_inches(5,5)
     df.iloc[ind].plot(kind='pie', ax=ax, autopct='%1.1f%%')
     ax.set_ylabel('')
     ax.set_xlabel('')

我在这里遇到错误，例如：

IndexError: single positional indexer is out-of-bounds

那么如何为Cycling v/s Idle in pandas each Machine_id 形成饼图呢？

Answer 1

你的问题解决了：

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

sns.set(palette='Paired')

df = pd.read_csv('sample1.csv')

#df = df.set_index('Machine_id')  comment this

for ind in df.index:
     fig, ax = plt.subplots(1,1)
     fig.set_size_inches(5,5)
     df.iloc[ind].plot(kind='pie', ax=ax, autopct='%1.1f%%')
     ax.set_ylabel('')
     ax.set_xlabel('')
     fig.show()   #plot/show final results

另一种方式，考虑具有每行循环和空闲时间的单个图表。每条线的饼图。 （也许饼图不是说明这一点的最佳方式，但无论如何）

参考。 https://matplotlib.org/api/pyplot_api.html

import csv as csv
import matplotlib.pyplot as plt

colors = ['r', 'g']

with open('sample1.csv') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')

    i = 0

    for row in readCSV:
        if i == 0:
            activities = [row[1], row[2]]
            title = row[0]
        else:
            slices = [row[1], row[2]]
            plt.title("Machine ID: " + row[0])  #title is here UPDATED
            plt.pie(slices, labels=activities, colors=colors, startangle=90, autopct='%.1f%%')
            plt.show()

        i += 1