Python 饼图 - 爱码网

一、饼状图应用原理

二、demos
from sklearn.datasets import load_iris
import matplotlib.pyplot as plt
import numpy as np

iris = load_iris()
data = iris.data
target = list(iris.target)

import numpy as np
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))

# recipe = ["375 g flour",
#           "75 g sugar",
#           "250 g butter",
#           "300 g berries"]

# data = [float(x.split()[0]) for x in recipe]
# ingredients = [x.split()[-1] for x in recipe]


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


wedges, texts, autotexts = ax.pie([target.count(0), target.count(1), target.count(2)], autopct=lambda pct: func(pct, data),
                                  textprops=dict(color="w"))

ax.legend(wedges, [0, 1, 2],
          title="Ingredients",
          loc="center left",
          bbox_to_anchor=(1, 0, 0.5, 1))

plt.setp(autotexts, size=8, weight="bold")  # 修改pie图字体

ax.set_title("iris num")

plt.show()
Python 饼图