在matplotlib python中调整文本位置并删除饼图的某些部分。
在matplotlib python中调整文本位置并删除饼图的某些部分。
提问于 2022-03-10 12:47:54
我试图生成一个嵌套的饼图，如下所示。然而，文本的位置看上去并不像应该的那样漂亮。我想调整内部饼图中的文本位置，以适合在饼部分(最好沿着红线，但如果它在里面，看上去还不错)。另外，我想删除一个部分的饼图作为大纲在下面的图片。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()
Stack Overflow用户
回答已采纳
发布于 2022-03-10 14:45:35
为了达到你想要的目的，你必须使用文本标签。你可以定位每一个单独的楔子和标签。从ax.pie()方法返回楔形和标签的列表。
要删除标签，只需将其文本设置为空字符串即可。
为了有更好的内部标签，我建议将百分比移动到新的行，然后相应地旋转每个标签。
下面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()其结果是：
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/71424401
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