Hello,
I am trying to change the default font by adding the following lines
to the matplotlibrc file:
## FONT
font.family : serif
font.serif : Palatino
However, I get the following error.
/Library/Frameworks/Python.framework/Versions/6.3/lib/python2.6/site-packages/matplotlib/font_manager.py:12
Hi,
If I want to specify the color_cycle for plot lines, I can use the
following line in a matplotlibrc file:
axes.color_cycle : b, g, r, c
Is there a similar specification that can be used for cycling through
markers? Something like:
lines.marker_cycle : s, o, x, +
Thank you.
---
Thomas and Goyo,
Thanks for the answers. I am fine with them being coverted to ints. In
fact, my ax.set_ylim(bottom=0, top=6000) contains ints and I don't
understand why they are converted to floats. I was thinking that there
is perhaps another (more correct) way to set tick values. I will
either
Hello,
I was trying to change the tick values that show up on the y-axis. I
wanted a more finer range than the default. So I added:
ax.set_yticks(range(ax.get_ylim()[0], ax.get_ylim()[1], 400))
to my plot. And before this line, I have
ax.set_ylim(bottom=0, top=6000)
I get the r
Can you please see the code below and let me know why the png figure
comes out empty (it only contains the x-axis, does not contain the
scatterplot). The pdf file has no such problems.
I have tried saving another usual line plot in .png format and I had
no problems. Does this have to do with scatt
Thanks again, Paul! Now I understand. I tried your example and I can
see the effect of those commands.
On Tue, Feb 8, 2011 at 7:29 PM, Paul Ivanov wrote:
> Curiouslearn, on 2011-02-08 19:04, wrote:
>> I wonder then what edgecolor, linewidth etc. change in case of axes.patch.
>
&g
Thanks very much Paul. This worked great.
I wonder then what edgecolor, linewidth etc. change in case of axes.patch.
Thanks again.
On Tue, Feb 8, 2011 at 6:22 PM, Paul Ivanov wrote:
> Curiouslearn, on 2011-02-08 15:32, wrote:
>> Sorry if the subject line does not use correct termino
Sorry if the subject line does not use correct terminology. But the
following explains the question I have:
Suppose I have the following code:
import matplotlib.pyplot as plt
fig1 = plt.figure()
ax1 = fig1.add_subplot(1,1,1)
ax1.scatter(xvalues, yvalues)
ax1.axvline(1.3, color='DarkGreen')
rect
Hello,
Matplotlib is so cool. I wish I had spent time learning it earlier.
Better late than never. Thanks so much to all who have worked on
developing it.
I had a question on histograms. Instead of the bars in case of
histograms, is there a way to get circle markers, where each marker
represents
