On 30/08/10 03:51, Benjamin Root wrote:
maxy = max(max(y1), max(y2))
maxx = max(x)
ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))
Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y coordinates
* and the coordinates starts not from 0
with the
I've seen some posts asking for the same thing, but there's been quite some
time now. Does anyone know the progress? Should I wait, or just downgrade to
2.6 for now?
Thanks
--
Sell apps to millions through the Intel(R)
On Mon, Aug 30, 2010 at 4:44 AM, xyz mit...@op.pl wrote:
On 30/08/10 03:51, Benjamin Root wrote:
maxy = max(max(y1), max(y2))
maxx = max(x)
ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))
Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y
I don't think there is a release numpy that is compatible with Python
2.7 (though it is due shortly in the form of numpy 1.5) and matplotlib
requires numpy.
-- Russell
In article
aanlktikni4k5qkrzt=0amydsxjjy7ka4u5tmsnpfe...@mail.gmail.com,
Åke Kullenberg
ake.kullenb...@gmail.com wrote:
I have a matplotlib plot that I saved to a pdf image. The plot
consists of 1E5 dots plotted with varying colors and opacities.
Actually 1E5 black dots with varying opacities and 64 colored markers.
The trouble is my image is 11 MB and takes a few seconds to fully
display in a PDF reader. I am
If it is only one image, an easy low-tech workaround is to save it as
PNG and then put it into a PDF. This way, you only have to load one
element.
On Mon, Aug 30, 2010 at 11:36 PM, Jeremy Conlin jlcon...@gmail.com wrote:
I have a matplotlib plot that I saved to a pdf image. The plot
consists
On Mon, Aug 30, 2010 at 4:36 PM, Jeremy Conlin jlcon...@gmail.com wrote:
I have a matplotlib plot that I saved to a pdf image. The plot
consists of 1E5 dots plotted with varying colors and opacities.
Actually 1E5 black dots with varying opacities and 64 colored markers.
The trouble is my
