python-Matplotlib：如何在x轴上绘制带有分类数据的线？

我正在尝试绘制几条线(而不是条形图,如this case).我的y值是浮点数,而x值是分类数据.如何在matplotlib中做到这一点？

我的价值观：

data1=[5.65,7.61,8.17,7.60,9.54]
data2=[7.61,16.17,16.18,19.54,19.81] 
data3=[29.55,30.24,31.51,36.40,35.47]

我的类别：

x_axis=['A','B','C','D','E']

我正在使用的代码没有给我我想要的东西：

import matplotlib.pyplot as plt
fig=plt.figure() #Creates a new figure
ax1=fig.add_subplot(111) #Plot with: 1 row, 1 column, first subplot.
line1 = ax1.plot(str(x_axis), data1,'ko-',label='line1') #Plotting data1
line2 = ax1.plot(str(x_axis), data2,'ro-',label='line2') #Plotting data2
line3 = ax1.plot(str(x_axis), data3,'mo-',label='line3') #Plotting data3
plt.xticks(range(len(data3)), x_axis, size='small')
ax1.set_ylim(0,51)
ax1.set_ylabel('y values',fontsize=12)
#Assigning labels
lines = line1+line2+line3
labels = [l.get_label() for l in lines]
ax1.legend(lines,labels,loc='upper center', prop={'size':10}, bbox_to_anchor=(0.5, -0.13), fancybox=True, shadow=True, ncol=5)
ax1.set_xlabel('Categories',fontsize=14)
plt.setp(ax2.get_xticklabels(), visible=True)
title_string=('Plotting categories vs y values in matplotlib')
plt.suptitle(title_string, y=1.0, fontsize=17)
fig.tight_layout()
fig.subplots_adjust(top=0.92,bottom=0.2)
plt.show() 
plt.savefig('myplot.jpg',bbox_inches='tight')
plt.close()

解决方法:

关于某些语法,您的代码看起来不正确：

line1 = ax1.plot(data1,'ko-',label='line1') #no need for str(x_axis)
line2 = ax1.plot(data2,'ro-',label='line2') 
line3 = ax1.plot(data3,'mo-',label='line3') 

和

plt.setp(ax1.get_xticklabels(), visible=True) #not ax2

当我解决这些问题后,绘图工作正常

plt.xticks(range(len(data3)), x_axis, size='small')

是将列表分配给x轴的正确方法.

标签：categorical-data,matplotlib,plot,python
来源： https://codeday.me/bug/20191027/1946024.html