Hi,
In my plot I would like to use two x-axis, in order to label the thicks in two different units.
However, when I use the twiny command, the labels of the secondary x-axis overlap with the title of the figure.
Is there a way to increase the space between the title and the plot?
I already tried the top option in subplot_adjust, but this is also moving the title!
Here is a small example (attached the png output):
plt.figure()
ax1=plt.subplot(111)
plt.xlabel(‘axis 1’)
ax2=plt.twiny(ax1)
plt.xlabel(‘axis 2’)
plt.title(‘title’)
plt.show()
Thanks
···
BrainBurner
Hi,
In my plot I would like to use two x-axis, in order to label the thicks
in two different units.
However, when I use the twiny command, the labels of the secondary
x-axis overlap with the title of the figure.
Is there a way to increase the space between the title and the plot?
I already tried the top option in subplot_adjust, but this is also
moving the title!
Here is a small example (attached the png output):
plt.figure()
ax1=plt.subplot(111)
plt.xlabel('axis 1')
ax2=plt.twiny(ax1)
plt.xlabel('axis 2')
plt.title('title')
Save a reference to the text object returned by title, and then adjust the y-coordinate of its position:
t = plt.title('title')
t.set_y(1.09)
plt.subplots_adjust(top=0.86)
This y-coordinate is in normalized Axes units, so 1.0 is the top of the Axes frame--except that there is a small additional hard-wired pad, so setting y to 1.0 still leaves a little space.
Eric
···
On 05/27/2011 10:18 PM, .:BrAiN BuRnEr:. wrote:
plt.show()
Thanks
__________
BrainBurner
------------------------------------------------------------------------------
vRanger cuts backup time in half-while increasing security.
With the market-leading solution for virtual backup and recovery,
you get blazing-fast, flexible, and affordable data protection.
Download your free trial now.
http://p.sf.net/sfu/quest-d2dcopy1
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options