python 在 x 轴上旋转值以不重叠

Question

我在此处的图表 xticks 方面遇到一些问题:

有人可以帮忙吗？

我尝试了他们在这里所做的: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")

Answer 1

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，然后复制那一点。

Look at this one

你想要这个:

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

还有另一种使用的技术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，这看起来更容易，您可以执行此答案中所做的操作。

plt.xticks(rotation=<whatever>)

在绘制任何内容之前将其放入。