python绘制单列堆积柱形图 : python绘制单列堆积柱形图-CSDN博客
一、代码
import numpy as np
import matplotlib.pyplot as pltN = 10
menMeans = np.array([[20, 35], [15, 25], [15, 25], [15, 25], [15, 25], [15, 25], [15, 25], [15, 25], [15, 25], [15, 25]])
womenMeans = np.array([[25, 32], [22, 28], [22, 28], [22, 28], [22, 28], [22, 28], [22, 28], [22, 28], [22, 28], [22, 28]])ind = np.arange(N) # the x locations for the groups
width = 0.4 # the width of the barsfig, ax = plt.subplots()# 第一列堆积柱形图
p1 = ax.bar(ind, menMeans[:,0], width)
p2 = ax.bar(ind, womenMeans[:,0], width, bottom=menMeans[:,0])# 第二列堆积柱形图
p3 = ax.bar(ind + width, menMeans[:,1], width)
p4 = ax.bar(ind + width, womenMeans[:,1], width, bottom=menMeans[:,1])ax.axhline(0, color='grey', linewidth=0.8)
ax.set_ylabel('数量',fontproperties=zhfont)
ax.set_title('干净标签和噪声标签的样本数量',fontproperties=zhfont)
ax.set_xticks(ind, ('类别1', '类别2','类别3','类别4','类别5','类别6','类别7','类别8','类别9','类别10'),fontproperties=zhfont)
ax.legend((p1[0], p2[0], p3[0], p4[0]), ('TP:正确标签', 'FP:错误标签', '均匀采样后的TP', '均匀采样后的FP'),prop=zhfont)# Display the chart
plt.show()
二、结果:
中文乱码问题详看:CSDN