I would like to specify the colors to be used for plotting out-of-range
values via RGB triples rather than color name strings. Is this possible?
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Sent from the matplo
The attached program generates a map and then saves it to a file. I have two
problems with the result:
(1) Note that the screenshot shows a title above the map, while the .png
file that was saved by the program does not.
(2) I would like to be able to label the lines of latitude and longitude,
Jeff Whitaker wrote:
>
>
> Philip: That's an error from the proj4 c library saying that it didn't
> like one of the parameters you used to define the projection. Since you
> didn't include the parameters you used, I can't say which one is the
> culprit.
>
> -Jeff
>
I've boiled the code
I’ve been experimenting with basemap, and have been able to make maps using
the orthographic and polyconic projections. When I try to generate a map
using the geostationary projection, I get the error message shown below. I
haven’t been able to make head or tail of this message; any advice will
The online documentation at URL=
http://www.scipy.org/Cookbook/Matplotlib/Maps has an example that uses
plt.text as follows:
plt.text(xpt+5,ypt+5,name)
Why is the offset 5?
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When I try to save a figure to a file using `savefig`, text in the figure
(x-axis label, y-axis label, etc.) is not saved. Have other people
encountered this problem? I'm using the Enthought Python Distribution 5.1.1
on a 32-bit Windows XP machine.
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When I generate a map with a background generated via Basemap.bluemarble(),
the background is extremely dark. Is there any way to get a
lighter/brighter version? (I've looked at all of the available parameters,
but none of them seems to allow for adjustment of the luminance).
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Dr. Phillip M. Feldman wrote:
> The basemap demo `cubed_sphere.py` contains the following line of code:
>
>fig.subplots_adjust(bottom=0, left=0, right=1, top=0, wspace=0,
> hspace=0)
>
> >From the documentation, it would appear that `wspace=0` should remove all
>
Dr. Phillip M. Feldman wrote:
> The basemap demo `cubed_sphere.py` contains the following line of code:
>
>fig.subplots_adjust(bottom=0, left=0, right=1, top=0, wspace=0,
> hspace=0)
>
> >From the documentation, it would appear that `wspace=0` should remove all
>
Dr. Phillip M. Feldman wrote:
> The script run_all.py in the basemap examples does not work when Python
> has
> been installed to "C:\Program Files\Python25". It appears that this
> problem
> involves the space in the path.
>
Phillip: I don't have a wind
The basemap demo `cubed_sphere.py` contains the following line of code:
fig.subplots_adjust(bottom=0, left=0, right=1, top=0, wspace=0, hspace=0)
>From the documentation, it would appear that `wspace=0` should remove all
horizontal space between the subplots. But, this isn't what happens. (
It seems as though there are enough basemap-related posts that it might be
worth creating a separate basemap-specific sub-forum of the matplotlib
forum.
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The script run_all.py in the basemap examples does not work when Python has
been installed to "C:\Program Files\Python25". It appears that this problem
involves the space in the path.
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Starting with code written by Jae-Joon Lee, I constructed a template program
for creating plots with multiple y-axes. The program mostly works, but there
are two odd glitches:
(1) Not only is the y-axis for dependent variable #1 blue (as it should be),
but the entire frame around the plot is blue
user-modifiable code is in Section 2. For most
# purposes, it should not be necessary to modify anything else.
# Dr. Phillip M. Feldman, 27 Oct, 2009
# Acknowledgment: This program is based on code written by Jae-Joon Lee,
# URL=
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matpl
tp://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/pylab_examples/multiple_yaxis_with_spines.py?revision=7908&view=markup
>
> Regards,
>
> -JJ
>
>
> On Sat, Oct 24, 2009 at 2:40 PM, Gökhan Sever
> wrote:
>>
>>
>> On Sat,
I've noticed that make_patch_spines_invisible does not use the input argument
`ax`. Shouldn't the body of the function def be using `ax` instead of
`par2`?
Thanks! Phillip
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/pylab_examples/multiple_yaxis_with_s
I'd like to create a plot showing motor current, efficiency, speed, and
output power versus input power, with all four curves on a single plot and
four y axes. I've looked at the example in
http://matplotlib.sourceforge.net/examples/api/two_scales.html, and also at
the doc string for twinx. It loo
I am creating a scatter plot using pyplot.scatter(), and adding a colorbar
via pyplot.colorbar(). The result is very nice, except that there is a
large amount of empty space between the right-hand edge of the axes and the
figure window. When I adjust the right-hand margin using something like
The attached script creates a colormap containing five colors. At the end of
the script, I print the value of cmap.N, and it is 256 rather than 5.
http://www.nabble.com/file/p25740788/bugdemo.py bugdemo.py
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I'd like to generate a scatter plot in which symbols are colored using a
specified colormap, with a specified mapping from the range of the data to
the [0,1] colormap interval. I thought at first that one could use the norm
argument to specify a function that would perform this mapping, but from
c
After experimenting with colormaps for a while, I was able to make both
discrete (piecewise-constant) and continuous (piecewise-linear) colormaps
work. Although colormaps can be created directly using
LinearSegmentedColormap from the matplotlib.colors package, this is a
tedious and error-prone pro
When I try to import register_cmap from matplotlib, matplotlib.colors, or any
of the other likely candidate modules in which it might be contained, I get
a "cannot import" error. It would be great if the documentation indicated
how to import this and provided at least one working example.
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When I try to access that Wiki, I get the following message: This page does
not exist yet.
Check this wiki item and the associated mailing list thread:
http://www.scipy.org/wikis/topical_software/LoadingAColormapDynamically
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When I try to run the sample custom colormap code provided at
http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html ,
I get the following error message:
AttributeErrorTraceback (most recent call last)
colormaps.py in ()
114
115 blue_red2 = LinearSegmentedColo
I'd like to be able to create and use a custom colormap. I'm creating the
colormap via
the following statement:
matplotlib.colors.ListedColormap([(0,0,0),(0.6,0,0),(0,0.6,0),(0.6,0.6,0)],
name='Earth')
The above statement appears to work, but when I attempt to use this
colormap, I
get the err
I've been trying to understand how colormaps work. I've been through the
Matplotlib User's Guide (Release 0.98.6svn, dated June 14, 2009), but the
section on colormaps has not yet been written. If anyone can point me to
documentation or provide an explanation, I'd be grateful.
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Having to hit Enter is not a major problem, but I'm still not getting
anything displayed.
I noticed that you used pyplot.draw() instead of pyplot.show(). I've
checked the available documentation, but haven't been able to understand the
difference between these.
I should have mentioned that I'm
The following trivial program is supposed to generate one plot per key press
until the user presses 'q'. Instead, nothing is displayed until the user
presses 'q'. Any suggestions will be appreciated.
from os import sys
from matplotlib import *
from numpy.random import rand
while True:
z= r
One can set axis limits via a command like the following:
pyplot.axis([0 10 0 1])
But, there are situations where I'd like to set limits only for the y-axis,
leaving the x-axis alone, or vice versa, or set a lower limit for the y-axis
but leave the upper limit alone. Is there a clean way of doin
I'm a newbie to matplotlib. When I try to generate a simple plot, nothing
happens. Any advice will be appreciated. Here's my code:
from numpy import *
from matplotlib import *
x= arange(0,10.,0.1)
y= x**1.5 - 0.25*x**2
pyplot.figure(figsize=(9, 6), dpi=120)
pyplot.plot(x, y)
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