Hi
I'm trying to use the linthershy option for symlog in
matplotlib.axes.Axes.set_yscale()
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.set_yscalefor
values smaller than 1, but the plot then shows large values (vertical lines)
for the points which should have been in
On Tue, Nov 2, 2010 at 8:20 AM, Pål Gunnar Ellingsen paa...@gmail.comwrote:
Hi
I'm trying to use the linthershy option for symlog in
matplotlib.axes.Axes.set_yscale()
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.set_yscalefor
values smaller than 1, but the plot
Hi
Thank you.
I installed the latest from svn and it now works.
Regards
Pål
On 2 November 2010 15:21, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Nov 2, 2010 at 8:20 AM, Pål Gunnar Ellingsen paa...@gmail.comwrote:
Hi
I'm trying to use the linthershy option for symlog in
thanks to all for the replies. i am still having an issue with the log
scale of these plots. i am trying to hide the top and right axes of
the plot, since these should not be there when plotting a histogram or
a line plot. i use the following code:
import matplotlib
matplotlib.use('PDF')
import
On Thu, Nov 12, 2009 at 12:07 PM, per freem perfr...@gmail.com wrote:
ax.axis[xzero].set_visible(True)
# make other axis (bottom, top, right) invisible.
The ax.axis[xzero] is drawn along the y=0 line. Therefore, if you
use logscale, this axis become invisible.
invisible = [bottom, top, right]
The bar command makes rectangles whose bottom position is 0.
The reason that bars disappear when you set log scale is that bottom
position of the bar become -infinity.
You may
* set log scale before calling the bar
or
* create bar plot but with reasonable (positive) bottom value. Take
a look
On Wed, Nov 11, 2009 at 4:25 PM, per freem perfr...@gmail.com wrote:
hi all,
I am trying to make a simple bar graph that has its yaxis scale set to
log. I use the following code:
import matplotlib
matplotlib.use('PDF')
import matplotlib.pyplot as plt
from matplotlib import rc