在matplotlib中调整文本位置并删除部分饼图python

Adjust text positions and remove some part of the pie chart in matplotlib python

我尝试生成一个嵌套饼图作为下面的示例。然而,文本位置看起来并不像它应该的那样漂亮。我想调整内部饼图中的文本位置以适应饼图部分(最好沿着红线,但如果它在里面并且看起来不错就好了)。另外,我想删除饼图的一部分,如下图所示。任何帮助都会很有帮助。

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt    
data=pd.read_csv(r"https://raw.githubusercontent.com/tuyenhavan/Course_Data/main/test_pie_chart.csv")
# Get outer and inner counts
inner=data.groupby(["Col1"]).size()
outer=data.groupby(["Col1","Col2"]).size()
# Get outer and inner labels
inner_label=[f"{idx} ({val/sum(inner.values.flatten())*100:.2f}%)" for idx, val in zip(inner.index.get_level_values(0),inner.values.flatten())]
outer_label=[f"{idx} ({val/sum(outer.values.flatten())*100:.2f}%)" for idx, val in zip(outer.index.get_level_values(1), outer.values.flatten())]
# Inner and outer colors
inner_color=["#16A085","#808000","#BA4A00"]
outer_color=["#808080","#229954","#34495E","#2E86C1","#CA6F1E","white","#808080","#229954","#CA6F1E","#00FFFF"]
# Set figure size and radius adjustment
fig, ax=plt.subplots(figsize=(10,8))
size=0.4
# Plot the inner pie chart
ax.pie(inner.values.flatten(), labels=inner_label, radius=1-size,wedgeprops=dict(width=size, edgecolor='w'),\
      colors=inner_color,textprops ={"fontsize":12},labeldistance=0.4) # labels=inner_label,autopct ='%1.1f%%', 
# Plot the outer pie chart
ax.pie(outer.values.flatten(), radius=1, labels=outer_label,wedgeprops=dict(width=size, edgecolor='w'),\
      colors=outer_color, textprops={"fontsize":12},labeldistance=1.1)
ax.set(xlim=(-1,1), ylim=(-1,1))
ax.set(aspect="equal")
plt.show()

要实现您想要的效果,您必须稍微玩一下文本标签。 您可以定位每个单独的楔形和标签。 ax.pie() 方法返回楔形和标签列表。

要删除标签,只需将其文本设置为空字符串即可。

为了拥有更好的内部标签,我建议将百分比移动到新行,然后相应地旋转每个标签。

这是这样做的代码片段:

import matplotlib.pyplot as plt
import pandas as pd

data = pd.read_csv(r"https://raw.githubusercontent.com/tuyenhavan/Course_Data/main/test_pie_chart.csv")
# Get outer and inner counts
inner = data.groupby(["Col1"]).size()
outer = data.groupby(["Col1", "Col2"]).size()
# Get outer and inner labels
inner_label = [f"{idx} \n({val / sum(inner.values.flatten()) * 100:.2f}%)" for idx, val in
               zip(inner.index.get_level_values(0), inner.values.flatten())]
outer_label = [f"{idx} ({val / sum(outer.values.flatten()) * 100:.2f}%)" for idx, val in
               zip(outer.index.get_level_values(1), outer.values.flatten())]
# Inner and outer colors
inner_color = ["#16A085", "#808000", "#BA4A00"]
outer_color = ["#808080", "#229954", "#34495E", "#2E86C1", "#CA6F1E", "white", "#808080", "#229954", "#CA6F1E",
               "#00FFFF"]
# Set figure size and radius adjustment
fig, ax = plt.subplots(figsize=(10, 8))
size = 0.4
# Plot the inner pie chart
wedges_lst, labels_lst = ax.pie(inner.values.flatten(), labels=inner_label, radius=1 - size, wedgeprops=dict(width=size, edgecolor='w'), \
       colors=inner_color, textprops={"fontsize": 12}, labeldistance=0.6)  # labels=inner_label,autopct ='%1.1f%%',
labels_lst[0].update({"rotation": 0, "horizontalalignment": "center", "verticalalignment": "center"})
labels_lst[1].update({"rotation": 135, "horizontalalignment": "center", "verticalalignment": "center"})
labels_lst[2].update({"rotation": 225, "horizontalalignment": "center", "verticalalignment": "center"})

# Plot the outer pie chart
wedges_lst, labels_lst = ax.pie(outer.values.flatten(), radius=1, labels=outer_label, wedgeprops=dict(width=size, edgecolor='w'), \
       colors=outer_color, textprops={"fontsize": 12}, labeldistance=1.1)

# Remove # No text label
labels_lst[5].update({"text": ""})

ax.set(xlim=(-1, 1), ylim=(-1, 1))
ax.set(aspect="equal")
plt.show()

导致: