Matplotlib-将标签移到饼图的中间

Question

我的饼图已经正常工作，但是我注意到实际图表的文本框似乎无法正常工作。它们只是聚集在一起，所以我想知道是否可以通过任何方式将标签移到白色圆圈的中间并在其旁边有匹配的颜色？

crimeTypes = dict(crimeData["Crime type"].value_counts())

crimeType = []
totalAmount = []
numberOfCrimes = 14

for key in sorted(crimeTypes, key=crimeTypes.get, reverse=True):
    crimeType.append(key)
    totalAmount.append(crimeTypes.get(key))

crimeType_sample = crimeType[0:numberOfCrimes]
totalAmount_sample = totalAmount[0:numberOfCrimes]

fig1, ax1 = plt.subplots()
ax1.pie(totalAmount_sample, labels=crimeType_sample, autopct='%1.1f%%', shadow=False, startangle=90)
ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
fig1 = plt.gcf()
fig1.set_size_inches(10,10)
circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')
plt.gca().add_artist(circle)
plt.show();

Answer 1

这里有一些示例数据可以重现您的问题：

样本数据：

import pandas as pd

data = (['Burglary']*50 + ['Arson', 'Theft', 'Violence'] + ['Drugs']*10 + ['Other'] + 
        ['Shoplifting']*4 + ['Harassment']*17 + ['Murder', 'Vehicle Crime']*3 + 
        ['Some other Crimes']*12 + ['Even More Crime', 'And Crime', 'And More Crime']*10)
crimeData = pd.DataFrame(data, columns=['Crime type'])

这将导致以下情节：

---

使用图例

在绘制时不要绘制百分比或标签，然后创建放置在侧面的图例：

fig1, ax1 = plt.subplots()

ax1.pie(totalAmount_sample, shadow=False, startangle=90)  # No labels or %s
ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
fig1 = plt.gcf()
fig1.set_size_inches(5,5)
circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')
plt.gca().add_artist(circle)

plt.legend(labels=[f'{x} {np.round(y/sum(totalAmount_sample)*100,1)}%' for x,y in crimeTypes.items()], 
           bbox_to_anchor=(1,1))

plt.show();

旋转标签：

创建标签并使用rotatelabels=True。尽管在许多情况下这似乎仍然局促。

fig1, ax1 = plt.subplots()

labels=[f'{x} {np.round(y/sum(totalAmount_sample)*100,1)}%' for x,y in crimeTypes.items()]
ax1.pie(totalAmount_sample, labels=labels, shadow=False, startangle=90,
        rotatelabels=True)  # No %

ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
fig1 = plt.gcf()
fig1.set_size_inches(7,7)
circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')
plt.gca().add_artist(circle)

plt.show();