Now I just simply use plt.plot(x,y1,'b.-') to plot a figure, but it turns out so many data are displayed between 0 to 10 on the x axis, so I want to set x axis like this 0,1,5,10,100,1000,100000
thus, the massive data between 0 to 10 can be more spread out.
How can I do it in Python, I am using Matplotlib
0,1,5,10,100,1000,100000?
If you can live with (0.01, 0.1,), 1, 10, 100, 1000, 10000, 100000,… - then change the xscale to log:
plt.xscale('log')
See the accepted answer to the question How do I convert (or scale) axis values and redefine the tick frequency in matplotlib? Essentially, the matplotlib.pyplot.xticks command can be used to control to location and labels of the tick marks.
However, your data will still be plotted on a linear scale, so this won't strecth out the data between 0 and 10. You will need to use a different axis scaling to do this, using, for example, set_xscale.
