I would like to draw a standard 2D line graph with pylot, but force the axes’ values to be between 0 and 600 on the x, and 10k and 20k on the y. Let me go with an example…

``````import pylab as p

p.title(save_file)
p.axis([0.0,600.0,1000000.0,2000000.0])

#define keys and items elsewhere..
p.plot(keys,items)
p.savefig(save_file, dpi=100)
``````

However, the axes still adjust to the size of the data. I’m interpreting the effect of p.axis to be setting what the max and min could be, not enforcing them to be the max or min. The same happens when I try to use p.xlim() etc.

Any thoughts?

Thanks.

Calling `p.plot` after setting the limits is why it is rescaling. You are correct in that turning autoscaling off will get the right answer, but so will calling `xlim()` or `ylim()` after your `plot` command.

I use this quite a lot to invert the x axis, I work in astronomy and we use a magnitude system which is backwards (ie. brighter stars have a smaller magnitude) so I usually swap the limits with

``````lims = xlim()
xlim([lims, lims])
``````

To answer my own question, the trick is to turn auto scaling off…

``````p.axis([0.0,600.0, 10000.0,20000.0])
ax = p.gca()
ax.set_autoscale_on(False)
``````

I tried all of those above answers, and I then summarized a pipeline of how to draw the fixed-axes image. It applied both to `show` function and `savefig` function.

1. before you plot:

``````fig = pylab.figure()
ax = fig.gca()
ax.set_autoscale_on(False)
``````

This is to request an `ax` which is `subplot(1,1,1)`.

1. During the plot:

``````ax.plot('You plot argument') # Put inside your argument, like ax.plot(x,y,label="test")
ax.axis('The list of range') # Put in side your range [xmin,xmax,ymin,ymax], like ax.axis([-5,5,-5,200])
``````
2. After the plot:

1. To show the image :

``````fig.show()
``````
2. To save the figure :

``````fig.savefig('the name of your figure')
``````

I find out that put `axis` at the front of the code won’t work even though I have set `autoscale_on` to `False`.

I used this code to create a series of animation. And below is the example of combing multiple fixed axes images into an animation. Try putting the call to `axis` after all plotting commands.