如何修复python中的条形图（自定义条形图）？答案

【问题标题】：How to fix the bar chart in python (custom bar chart)?如何修复python中的条形图（自定义条形图）？
【发布时间】：2021-04-25 21:31:50
【问题描述】：

我正在使用下面的代码来生成下面的条形图

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

width = .5 
# width of a bar

m1_t = pd.DataFrame({
 'Google' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Statistical' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Tomtom' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Simulation' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30]})

m1_t[['Google','Statistical','Tomtom']].plot(kind='bar', width = width)
m1_t['Simulation'].plot(secondary_y=True)

ax1 = plt.gca()
#plt.xlim([-width, len(m1_t['Statistical'])-width])
labels = ['0:00', '01:00', 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
ax1.set_xticklabels(labels)
plt.setp(ax1.get_xticklabels(), rotation=45);
plt.legend(loc=[0.8, 0.9])
fig.tight_layout()
plt.xlim(0, 24)
plt.ylim(0,100)
ax1.set_xlabel("Time (h)")
ax1.set_ylabel("Number of Buses")
#ax.set_ylabel('Scores')
ax1.set_title('Scores by group')
plt.savefig('foo.png')
plt.show()

从给定的图中可以看出，我面临着多个问题。

需要正确设置轴标签，现在只适用于y标签。
xticklabels 有重叠，因为旋转效果不好。

如果有人能帮我解决这个问题，我将不胜感激？

【问题讨论】：

标签： python pandas numpy matplotlib bar-chart

【解决方案1】：

这应该可以工作

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

width = .5 
# width of a bar

m1_t = pd.DataFrame({
 'Google' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Statistical' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Tomtom' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30],
 'Simulation' : [90,40,30,30,30,25,25,20,15,10,90,40,30,30,30,25,25,20,15,10,90,40,30,30]})




fig,ax1=plt.subplots(1,1,figsize=(12,6))
m1_t[['Google','Statistical','Tomtom']].plot(kind='bar', width = width,ax=ax1,color=['tab:blue','tab:orange','tab:green'])
m1_t['Simulation'].plot(secondary_y=True,ax=ax1,color='tab:blue')
#plt.xlim([-width, len(m1_t['Statistical'])-width])
labels = ['0:00', '01:00', 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
ax1.set_xticklabels(labels, rotation=90);
ax1.legend(loc='upper right',labels=['Google','Statistical','Tomtom'])
ax1.set_xlim(0, 24)
ax1.set_ylim(0,100)
ax1.set_xlabel("Time (h)")
ax1.set_ylabel("Number of Buses")
ax1.set_title('Scores by group')
fig.savefig('foo.png')

【讨论】：