Is there a way in pylab to display the X and Y axis? I know using grid() will display them, but it comes with numerous other lines all given the same emphasis.
+1
A:
foo.grid(b=True) should help, but it is very raw.
If you supply any of the additional arguments it automatically assumes that b is True
For example:
foo.grid(label='My awesome grid')
Rince
2009-08-12 21:34:30
Thanks for the advice. Turning on the grid provides the entire grid, is there some way to only display the x and y axis? Or at least to emphasize those two?
TimothyAWiseman
2009-08-12 22:28:04
No idea how to emphasize them. But you can deemphasize the plots themselves and the axes will look greater.
Rince
2009-08-13 07:16:19
That would work to make the grid stand out, but I am looking for a way to have a grid just for the 0 values. I can get close to this by plotting x = 0 and y = 0 over the same range of values as my main function, but this seems inelegant at best.
TimothyAWiseman
2009-08-13 16:42:25
+1
A:
What plot function do you use?
Axis are drawn automatically by all plotting functions I've seen so far, e.g.
from pylab import *
hist(randn(10000), 100)
show()
Additionally, axis can be generated manually with the axes() function.
wierob
2009-08-12 22:53:08
+1
A:
If you are looking to name the axis you can using the label function:
import pylab
pylab.xlabel("X")
pylab.ylabel("Y")
pylab.plot(range(10))
pylab.show()
Anyway, I'm pretty sure the x and y axis are automatically generated.
If you just want an empty plot then:
pylab.plot([None], [None])
this will give you the x and y axis with both going from 0 to 1. Now if you would like to change the range of either of those then you can:
pylab.xlim(xmin=0, xmax=100)
pylab.ylim(ymin=0, ymax=100)
hope that helps.
Casey
2009-08-13 00:32:25
This provides a label on the bottom and left side, but I was trying to make the x and y axis with the origins stand out. One way I found to approximate this is to plot the functions x = 0 and y = 0, which gets close to what I want. Is there a more graceful way to do this?
TimothyAWiseman
2009-08-13 16:40:41
+2
A:
It sounds like your problem has been addressed in the new Matplotlib 0.99 with the Axis spine placement feature. Take a look at the examples.
nikow
2009-08-13 17:47:29