numpy 在MatPlotLib中并排绘制2个饼图

eivnm1vs  于 2023-06-23  发布在  其他
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我正在尝试在Matplotlib中创建2个饼图。虽然目前我的代码允许我打印出2个饼图,但它们是在垂直方向打印出来的。有什么方法可以使饼图水平并排打印吗?
这是我目前的代码,只允许我垂直打印2个饼图:

import matplotlib.pyplot as plt
import numpy as np

#read the csv file
filename = '../LAB03-DATA VISUALIZATION USING MATPLOTLIB/singapore-residents-by-ethnic-group-and-sex-end-june-annual.csv'
data = np.genfromtxt(filename, dtype=['i8','U50','i8'], delimiter=',', names=True)

#extract datas that are of 1960
data_1960 = data[data['year'] == 1960]

#extract datas that are of 2016
data_2016 = data[data['year'] == 2016]

#extract datas that have this keyword 'TOTAL MALE RESIDENTS' and 'TOTAL FEMALE RESIDENTS'(1960)
male_and_female_1960 = data_1960[np.isin(data_1960['level_1'], ['Total Male Residents' , 'Total Female Residents'])]

#extract datas that have this keyword 'TOTAL MALE RESIDENTS' and 'TOTAL FEMALE RESIDENTS'(2016)
male_and_female_2016 = data_2016[np.isin(data_2016['level_1'], ['Total Male Residents' , 'Total Female Residents'])]

# PLOTTING OF THE 1960 PIE CHART-------------------------------------------------------------------------------------------------
labels = male_and_female_1960['level_1']
values = male_and_female_1960['value']

#settings and configs for the pie charts
colors = ['#FF8F33','#33FFDC']
explode = (0.1, 0)

plt.figure(figsize=(5,5))
plt.pie(values,labels = labels,colors = colors,autopct = '%1.1f%%')
plt.title('Gender Composition in 1960')

# PLOTTING OF THE 2016 PIE CHART-------------------------------------------------------------------------------------------------
labels = male_and_female_2016['level_1']
values = male_and_female_2016['value']

#settings and configs for the pie charts
colors = ['#FF8F33','#33FFDC']
explode = (0.1, 0)

plt.figure(figsize=(5,5))
plt.pie(values,labels = labels,colors = colors,autopct = '%1.1f%%')
plt.title('Gender Composition in 2016')

plt.show()

我的当前输出。

pepwfjgg

pepwfjgg1#

是的,你可以-

fig, (ax1,ax2) = plt.subplots(1,2,figsize=(10,10)) #ax1,ax2 refer to your two pies

# 1,2 denotes 1 row, 2 columns - if you want to stack vertically, it would be 2,1

labels = male_and_female_1960['level_1']
values = male_and_female_1960['value']
ax1.pie(values,labels = labels,colors = colors,autopct = '%1.1f%%') #plot first pie
ax1.set_title('Gender Composition in 1960')

labels = male_and_female_2016['level_1']
values = male_and_female_2016['value']
ax2.pie(values,labels = labels,colors = colors,autopct = '%1.1f%%') #plot second pie
ax2.set_title('Gender Composition in 2016')

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