教你利用python的matplotlib(pyplot)绘制折线图和柱状图

目录

前言

一、折线图

二、柱状图

总结

前言

今天帮师兄赶在deadline之前画论文的图,现学现卖很是刺激,现把使用matplotlib的子库pyplot画折线图和柱状图的代码记录分享一下,方便大家参考,个人感觉pyplot真的蛮方便的,非常值得使用。

先看下官方对pyplot的描述:“Provides a MATLAB-like plotting framework.”。对,就是一个类似matlab的画图框架。就不多多说了,直接上代码吧:

一、折线图

代码:

import matplotlib.pyplot as plt #折线图 x = [5,7,11,17,19,25]#点的横坐标 k1 = [0.8222,0.918,0.9344,0.9262,0.9371,0.9353]#线1的纵坐标 k2 = [0.8988,0.9334,0.9435,0.9407,0.9453,0.9453]#线2的纵坐标 plt.plot(x,k1,'s-',color = 'r',label="ATT-RLSTM")#s-:方形 plt.plot(x,k2,'o-',color = 'g',label="CNN-RLSTM")#o-:圆形 plt.xlabel("region length")#横坐标名字 plt.ylabel("accuracy")#纵坐标名字 plt.legend(loc = "best")#图例 plt.show()

运行结果:

关于上述代码参数的一点解释:

plt.legend(loc=”best”) 中loc=”best”意思是自动选择放图例的合适位置,上图就是放在了右下角,这个参数还有其他的设置如下:

二、柱状图

多个柱状图用颜色区分

代码如下:

#柱状图 import numpy as np import matplotlib.pyplot as plt ATT_LSTM = [0.8892,0.861,0.9243] MATT_CNN = [0.8966,0.8556,0.9316] ATT_RLSTM = [0.8867,0.8543,0.9344] CNN_RLSTM = [0.9016,0.8636,0.9435] #x = ['REST','LAPT','AUTO'] x = np.arange(3) #总共有几组,就设置成几,我们这里有三组,所以设置为3 total_width, n = 0.8, 4 # 有多少个类型,只需更改n即可,比如这里我们对比了四个,那么就把n设成4 width = total_width / n x = x - (total_width - width) / 2 plt.bar(x, ATT_LSTM, color = "r",width=width,label='ATT-LSTM ') plt.bar(x + width, MATT_CNN, color = "y",width=width,label='MATT-CNN') plt.bar(x + 2 * width, ATT_RLSTM , color = "c",width=width,label='ATT-RLSTM') plt.bar(x + 3 * width, CNN_RLSTM , color = "g",width=width,label='CNN-RLSTM') plt.xlabel("dataset") plt.ylabel("accuracy") plt.legend(loc = "best") plt.xticks([0,1,2],['REST','LAPT','AUTO']) my_y_ticks = np.arange(0.8, 0.95, 0.02) plt.ylim((0.8, 0.95)) plt.yticks(my_y_ticks) plt.show()

结果如下:

2. 多个柱状图用填充图形(\,/,*,o等)

代码如下:

#柱状图 import numpy as np import matplotlib.pyplot as plt ATT_LSTM = [0.8892,0.861,0.9243] MATT_CNN = [0.8966,0.8556,0.9316] ATT_RLSTM = [0.8867,0.8543,0.9344] CNN_RLSTM = [0.9016,0.8636,0.9435] #x = ['REST','LAPT','AUTO'] x = np.arange(3) total_width, n = 0.8, 4 # 有多少个类型,只需更改n即可 width = total_width / n x = x - (total_width - width) / 2 plt.bar(x, ATT_LSTM, color = "w",edgecolor = "k",width=width,hatch = "/",label='ATT-LSTM ')#edgecolor柱状边框颜色,hatch填充的内容 plt.bar(x + width, MATT_CNN, color = "w",edgecolor = "k",width=width, hatch = "+",label='MATT-CNN') plt.bar(x + 2 * width, ATT_RLSTM , color = "w",edgecolor = "k",width=width, hatch = "*",label='ATT-RLSTM') plt.bar(x + 3 * width, CNN_RLSTM , color = "w",edgecolor = "k",width=width, hatch = "\\",label='CNN-RLSTM') plt.xlabel("dataset") plt.ylabel("accuracy") plt.legend(loc = "best") plt.xticks([0,1,2],['REST','LAPT','AUTO']) my_y_ticks = np.arange(0.8, 0.95, 0.02) plt.ylim((0.8, 0.95)) plt.yticks(my_y_ticks) plt.show()

运行结果为:

这就是画折线图和柱状图的示例。

总结

到此这篇关于利用python的matplotlib(pyplot)绘制折线图和柱状图的文章就介绍到这了,更多相关python pyplot画折线图和柱状图内容请搜索易知道(ezd.cc)以前的文章或继续浏览下面的相关文章希望大家以后多多支持易知道(ezd.cc)!

推荐阅读