如何在 pandas 饼图中显示值?

How to show values in pandas pie chart?

我想在饼图中可视化某个卡丁车的圈数。为了实现这一目标,我想计算按卡丁车编号分组的单圈时间。我发现有两种方法可以创建这样的饼图:

1#

df.groupby('KartNumber')['Laptime'].count().plot.pie() 

2#

df.groupby(['KartNumber']).count().plot(kind='pie', y='Laptime')

打印(df)

print(df)
     HeatNumber  NumberOfKarts KartNumber DriverName  Laptime
0           334             11          5    Monique   53.862
1           334             11          5    Monique   59.070
2           334             11          5    Monique   47.832
3           334             11          5    Monique   47.213
4           334             11          5    Monique   51.975
...         ...            ...        ...        ...      ...
4053        437              2         20       luuk   39.678
4054        437              2         20       luuk   39.872
4055        437              2         20       luuk   39.454
4056        437              2         20       luuk   39.575
4057        437              2         20       luuk   39.648

不带绘图的输出:

KartNumber
1       203
10      277
11      133
12      244
13      194
14      172
15      203
16      134
17      253
18      247
19      240
2       218
20      288
21       14
4       190
5       314
6        54
60       55
61        9
62       70
63       65
64       29
65       53
66       76
67       42
68       28
69       32
8        49
9       159
None     13

如您所见,我有卡丁车号码和圈速计数。但我想在饼图(或图例)中显示圈数。我尝试使用 autopct 但无法使其正常工作。有谁知道如何实现我想要的情况?

编辑:有关此数据集的更多信息,请参阅:

通过使用如下命令:

plt.pie(values, labels=labels, autopct='%.2f')

通过以这种格式设置 autopct,它会显示图表每个部分的百分比。如果有任何问题,请分享您的结果截图。

@Mathijs 和@Danielgard

嗯,其实你可以,看我下面的例子:

import numpy as np
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(32, 8), subplot_kw=dict(aspect="equal"))

recipe = ["1 cl. Vanilla Concentrate ",
          "8 cl. Orange Juice",
          "8 cl. Pineapple Juice",
          "4 cl. orgeat Syrup"]

data = [float(x.split()[0]) for x in recipe]
ingredients = [' '.join(x.split()[-2:]) for x in recipe]


def func(pct, allvals):
    absolute = int(pct/100.*np.sum(allvals))
    return "{:.1f}%\n({:d} cl.)".format(pct, absolute)


wedges, texts, autotexts = ax.pie(data, autopct=lambda pct: func(pct, data),
                                  textprops=dict(color="w"))

ax.legend(wedges, ingredients,
          title="Ingredients",
          loc="center left",
          bbox_to_anchor=(1, 0, 0.5, 1))

plt.setp(autotexts, size=10, weight="bold")

ax.set_title("TIE-BREAK ALCOOL FREE COCKTAIL RECIPE")

plt.show()

结果: