更改x轴的刻度

Question

我想绘制一个图表，其中x轴值= [151383,151433,175367,178368,183937] 对应的y轴值= [98,96,95,100,90]

X轴值不是固定的间隔。但是我希望X轴应该是有规律的间隔。 如果我只写

matplotlib.pyplot(y) 

则间隔是规则的和x轴正值[1,2,3,4,5] 如何更改该实际的x轴的值？

Answer 1

我想这是你在找什么：

>>> from matplotlib import pyplot as plt 
>>> xval=[151383,151433,175367,178368,183937] 
>>> y=[98, 96, 95, 100, 90] 
>>> x=range(len(xval)) 
>>> plt.xticks(x,xval) 
>>> plt.plot(x,y) 
>>> plt.show() 

Answer 2

用（X，Y）和x轴只是情节与定期的实际值，如果这就是你在问什么？

matplotlib.pyplot.plot(x, y) # with the plot by the way 

Answer 3

约做这样的事情是什么？ （这是保罗伊万诺夫的例子）

import matplotlib.pylab as plt 
import numpy as np 

# If you're not familiar with np.r_, don't worry too much about this. It's just 
# a series with points from 0 to 1 spaced at 0.1, and 9 to 10 with the same spacing. 
x = np.r_[0:1:0.1, 9:10:0.1] 
y = np.sin(x) 

fig,(ax,ax2) = plt.subplots(1, 2, sharey=True) 

# plot the same data on both axes 
ax.plot(x, y, 'bo') 
ax2.plot(x, y, 'bo') 

# zoom-in/limit the view to different portions of the data 
ax.set_xlim(0,1) # most of the data 
ax2.set_xlim(9,10) # outliers only 

# hide the spines between ax and ax2 
ax.spines['right'].set_visible(False) 
ax2.spines['left'].set_visible(False) 
ax.yaxis.tick_left() 
ax.tick_params(labeltop='off') # don't put tick labels at the top 
ax2.yaxis.tick_right() 

# Make the spacing between the two axes a bit smaller 
plt.subplots_adjust(wspace=0.15) 

plt.show()