python在x轴上旋转值以不重叠

我在这里遇到图表的 xticks 问题:

有人能帮忙吗？

我试过他们在这里做了什么:Date ticks and rotation in matplotlib但无济于事。

import numpy as np 
from mpl_toolkits.axes_grid1 import host_subplot 
import mpl_toolkits.axisartist as AA 
import matplotlib.pyplot as plt 
import datetime as DT 
import matplotlib.dates as mdates 
import matplotlib.ticker as ticker 
 
#import data 
i, time, temp, hum, light_lv, light_v = np.loadtxt('DHT11.csv', delimiter = ',', skiprows = 1, 
                     usecols = (0,2,3,4,5,6), unpack = 1) 
 
#id, unixtime, temp, humidity, lightlevel, lightvolt 
 
 
time = [DT.datetime.fromtimestamp(t) for t in time] 
light_lv =  250 - light_lv 
 
xfmt = mdates.DateFormatter('%Y-%m-%d %H:%M:%S') 
 
if 1: 
 
 
    host = host_subplot(111, axes_class=AA.Axes) 
    host.xaxis.set_major_formatter(xfmt) 
 
    plt.subplots_adjust(right=0.75) 
 
    par1 = host.twinx() 
    par2 = host.twinx() 
 
    offset = 60 
    new_fixed_axis = par2.get_grid_helper().new_fixed_axis 
    par2.axis["right"] = new_fixed_axis(loc="right", 
                                        axes=par2, 
                                        offset=(offset, 0)) 
 
    par2.axis["right"].toggle(all=True) 
 
 
 
    #host.set_xlim(0, 25) 
    host.set_ylim(15, 25) 
 
    host.set_xlabel("Time (unix)") 
    host.set_ylabel("Temperature (C)") 
    par1.set_ylabel("Humidity (%)") 
    par2.set_ylabel("Light (A.U.)") 
 
    p1, = host.plot(time, temp) 
    p2, = par1.plot(time, hum) 
    p3, = par2.plot(time, light_lv) 
 
    #par1.set_ylim(0, 4) 
    #par2.set_ylim(1, 65) 
 
    host.legend() 
 
    host.axis["left"].label.set_color(p1.get_color()) 
    par1.axis["right"].label.set_color(p2.get_color()) 
    par2.axis["right"].label.set_color(p3.get_color()) 
 
    plt.draw() 
    plt.show() 
 
    #plt.savefig("Test") 

请您参考如下方法:

我发现在 matplotlib 中解决此类问题的最简单方法就是查看 gallery直到你找到一个有你想要的东西，然后复制那个位。

Look at this one

你想要这个:

plt.xticks(x, labels, rotation='vertical') 

还有另一种技术使用here :

# Set the axes ranges and axes labels 
ax1.set_xlim(0.5, numBoxes+0.5) 
top = 40 
bottom = -5 
ax1.set_ylim(bottom, top) 
xtickNames = plt.setp(ax1, xticklabels=np.repeat(randomDists, 2)) 
plt.setp(xtickNames, rotation=45, fontsize=8) 

或者，这看起来更简单，您可以只执行此答案中的操作。

plt.xticks(rotation=<whatever>) 

在你绘制任何东西之前把它放进去。