python xticks旋转后发生错位_python在xaxis上旋转值不重叠

I'm having some problems with the xticks of the graph here:

Can anyone help?

I tried what they did here: Date ticks and rotation in matplotlib but to no avail.

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")

解决方案

I find the easiest way to work out things like this in matplotlib is just look through the gallery until you find one that has what you want, and just copy that bit.

You want this:

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

There is another techniqued used 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)

alternatively, and this looks easier, you can just do what's done in this answer.

plt.xticks(rotation=)

just put that in before you plot anything.