使用python的matplotlib（pyplot）画折线图和柱状图
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 npimport matplotlib.pyplot as pltATT_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3total_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4width = total_width / nx = x - (total_width - width) / 2plt.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 npimport matplotlib.pyplot as pltATT_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 / nx = x - (total_width - width) / 2plt.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，有问题欢迎大家留言交流。
