python matplotlib模块画柱状图

最新推荐文章于 2024-04-10 08:48:05 发布

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最新推荐文章于 2024-04-10 08:48:05 发布

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分类专栏： python 文章标签： python

本文链接：https://blog.youkuaiyun.com/u013206066/article/details/80152372

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该博客演示了如何使用Python的matplotlib库绘制柱状图，展示了不同度量（如Precision, Recall, F-Measure, AUC, FPR）在不同情况（V1到V6）下的贡献占比。通过设置各种参数，如颜色、透明度、图案和标签，创建了一个详细的柱状图。" 104909859,8436321,Vue中数组的变异与替换方法详解,"['前端开发', 'Vue', 'JavaScript', '响应式编程', '数据操作']

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# -*- coding:utf-8 -*-
#功能: figure out different view's contribution to

__author__ = 'Administrator'
'''
画图
'''

import numpy as np
import matplotlib.pyplot as plt

#AUC,Precison,recall,F-Measure,FPR
v1=[0.899702,0.862453,0.930126]
v2=[0.98099,0.97593,0.98641]
v3=[0.980885, 0.97649,0.9863]
v4=[0.982178,0.977628,0.987255]
v5=[0.983808,0.979218, 0.988427]
v6=[0.98274,0.97803,0.98766]
#knn=[0.951537557,0.464342668,0.622510559,0.848088487,0.004227328]
#NaiveBayesian=[0.705354584,0.950186493,0.792806204,0.986623243,0.081741217]

x=np.arange(3)
bar_width = 0.12

opacity = 1

rects0 = plt.bar(x , v1, bar_width, alpha=opacity, edgecolor='#d33ce1',color='w',label='V1',hatch='==',lw=3)
rects1 = plt.bar(x+bar_width , v2, bar_width, alpha=opacity, edgecolor='#143ef3',color='w',