On Thu, Sep 15, 2011 at 10:33 PM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
I'm wondering if there is some way to do cross hatching as a way to fill
contours rather than colors (using contourf). The only references to
cross hatching I see in the documentation are for patches type objects.
Thanks for reporting this.
I opened a pull request that I believe fixes this problem.
https://github.com/matplotlib/matplotlib/pull/472
Please test this if you can.
Depending on your need, you may work around this by calling all the
set_position method always after all the GridSpec.update call.
Thanks for reporting this.
This is now fixed in the v1.0.x-maint branch and the master branch.
Regards,
-JJ
On Sat, Sep 17, 2011 at 10:33 AM, Daniel Hyams dhy...@gmail.com wrote:
In http://matplotlib.sourceforge.net/users/annotations_guide.html ,
about 1/3 of the way down, there is a little
On Sat, Sep 17, 2011 at 6:10 AM, John Ladasky
john_lada...@sbcglobal.net wrote:
But that isn't my goal here. I want to add lines to the FIGURE, outside
of any Axes. Does anyone know how to accomplish this? Thanks!
Not sure what you mean here.
Adding a patch to an axes does not mean it cannot
Am 17.09.2011 um 15:38 schrieb Jae-Joon Lee:
Thanks for reporting this.
I opened a pull request that I believe fixes this problem.
https://github.com/matplotlib/matplotlib/pull/472
Thank you very much!
Please test this if you can.
I hope next week.
Depending on your need, you may work
Hi folks,
I am pleased to announce a new release of glumpy, a small python library for
the (very) fast vizualization of numpy arrays, (mainly two dimensional) that
has been designed with efficiency in mind. If you want to draw nice figures for
inclusion in a scientific article, you’d better
Hi,
please consider this snippet:
import matplotlib.pyplot as plt
d={}
for i in range(1,21):
d[i] = i**2
plt.plot(d.values())
plt.xticks(d.keys())
plt.show()
As it can be seen from attached screenshot, xticks values are shifted to
right (by 1).
Seems strange, but perhaps something to do
On 09/17/2011 09:57 AM, Klonuo Umom wrote:
Hi,
please consider this snippet:
import matplotlib.pyplot as plt
d={}
for i in range(1,21):
d[i] = i**2
plt.plot(d.values())
This is plotting values against the zero-based index. What you want is
plt.plot(d.keys(), d.values())
On Saturday, September 17, 2011, Klonuo Umom klo...@gmail.com wrote:
Hi,
please consider this snippet:
import matplotlib.pyplot as plt
d={}
for i in range(1,21):
d[i] = i**2
plt.plot(d.values())
plt.xticks(d.keys())
plt.show()
As it can be seen from attached screenshot, xticks values
Thanks for your fast replies.
One more thing if possible: How can I tell xticks() to start at 0 (at x-axis
start)
--
BlackBerryreg; DevCon Americas, Oct. 18-20, San Francisco, CA
On Sat, Sep 17, 2011 at 3:22 PM, Klonuo Umom klo...@gmail.com wrote:
Thanks for your fast replies.
One more thing if possible: How can I tell xticks() to start at 0 (at
x-axis start)
Maybe what you want is xtick_labels()? xticks() merely tells mpl where on
the x-axis you want ticks to show
Hm.. it not within matplotlib.pyplot module... needs more digging
OK, thanks
On Sat, Sep 17, 2011 at 10:27 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, Sep 17, 2011 at 3:22 PM, Klonuo Umom klo...@gmail.com wrote:
Thanks for your fast replies.
One more thing if possible: How can I tell
On Sat, Sep 17, 2011 at 3:09 PM, Eric Firing efir...@hawaii.edu wrote:
On 09/17/2011 09:57 AM, Klonuo Umom wrote:
Hi,
please consider this snippet:
import matplotlib.pyplot as plt
d={}
for i in range(1,21):
d[i] = i**2
plt.plot(d.values())
This is plotting values against the
Yes, I noticed the same and indeed I used sorted values in original problem
I forgot to add it in my simplified snippet
On Sat, Sep 17, 2011 at 10:34 PM, John Hunter jdh2...@gmail.com wrote:
While this is safe because calls to keys and values will return lists
in congruent order of no
On Sat, Sep 17, 2011 at 3:33 PM, Klonuo Umom klo...@gmail.com wrote:
Hm.. it not within matplotlib.pyplot module... needs more digging
OK, thanks
On Sat, Sep 17, 2011 at 10:27 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, Sep 17, 2011 at 3:22 PM, Klonuo Umom klo...@gmail.com wrote:
I want to plot multiple plot lines, and would prefer lines to start at
x-axis beginning (so they source vertically from y-axis)
If I use suggested method from current replies lines would not start
from x-axis beginning, but I guess I'll need to look in Axes module
and make my preferences.
Thanks
On Sat, Sep 17, 2011 at 3:51 PM, Klonuo Umom klo...@gmail.com wrote:
I want to plot multiple plot lines, and would prefer lines to start at
x-axis beginning (so they source vertically from y-axis)
If I use suggested method from current replies lines would not start
from x-axis beginning, but
Yes, that seems the right way
I used it before but forgot it in the mean time
On Sat, Sep 17, 2011 at 10:56 PM, Benjamin Root ben.r...@ou.edu wrote:
On Sat, Sep 17, 2011 at 3:51 PM, Klonuo Umom klo...@gmail.com wrote:
I want to plot multiple plot lines, and would prefer lines to start at
Hi folks,
I am pleased to announce a new release of glumpy, a small python library for
the (very) fast vizualization of numpy arrays, (mainly two dimensional) that
has been designed with efficiency in mind. If you want to draw nice figures for
inclusion in a scientific article, you’d better
Hi, JJ,
Thanks for the reply.
On Sat, 2011-09-17 at 23:04 +0900, Jae-Joon Lee wrote:
Adding a patch to an axes does not mean it cannot be drawn outside of
axes. As far as you set (or unset) proper clip box, artists can be
drawn anywhere in the canvas regardless of the axes it belongs to.
On Fri, Sep 16, 2011 at 4:10 PM, John Ladasky
john_lada...@sbcglobal.net wrote:
Now I would like to add the axis lines and arrows. In fact, I would
prefer a FancyArrow object.
I can see how to add non-text objects to an Axes, e.g.:
ax = fig.add_subplot(111)
ax.add_patch(my_arrow)
But
On Sat, 2011-09-17 at 19:19 -0500, John Hunter wrote:
The artist tutorial covers drawing directly to a figure
http://matplotlib.sourceforge.net/users/artists.html#figure-container
I believe you could adapt the patches.FancyArrow to the same approach.
Thanks, John! I got JJ's approach to
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