Hello,
A new plot and two questions:
http://img16.imageshack.us/img16/1759/logbarchart.png
1-) How to get nicely formatted yticks while will represent my data range
(in Ax10^5 fashion 10^x works perfect as a defaul however couldn't figure
out how to do this with number times 10^x)? An interestin
John [H2O] wrote:
> In mpl_toolkits.basemap there is a module cm.
>
> I have been using the cm.s3pcpn colormap for some plots which require
> logarithmic coloring. The cm.s3pcpn_l colormap is also available (apparently
> a linear version).
>
> I wanted to know whether there were any other logarit
In mpl_toolkits.basemap there is a module cm.
I have been using the cm.s3pcpn colormap for some plots which require
logarithmic coloring. The cm.s3pcpn_l colormap is also available (apparently
a linear version).
I wanted to know whether there were any other logarithmic colormaps
available... for
On Thu, Sep 10, 2009 at 2:29 PM, Gökhan Sever wrote:
> Hello,
>
> I have a simple bar-chart seen at
> http://img40.imageshack.us/img40/4889/barchart.png
>
> What is the way to plot each bar equally spaced apart from eachother? Any
> simple way without defining custom ticks or manipulating the dat
Erik Wickstrom wrote:
> Hi all,
>
> Can matplotlib (or any other Python charting library) generate charts
> like this: (also attached if you prefer)
>
> http://imagebin.ca/view/iGhEQEE.html
>
> It's basically a moving average with the vertical lines being the
> difference between the average and
Dave wrote:
> I upgraded my numpy to 1.4.0.dev7375 and scipy to 0.8.0.dev5920. After doing
> so
> I get a segfault upon calling the plot command (see below)
>
> I guess I need to compile from source but I'm not sure exactly how to do so -
> are there any good step-by-step instructions out there?
Hello,
I have a simple bar-chart seen at
http://img40.imageshack.us/img40/4889/barchart.png
What is the way to plot each bar equally spaced apart from eachother? Any
simple way without defining custom ticks or manipulating the data?
Homework season has just started here. Lots of matplotting to d
Farhan Sheikh wrote:
> when i installed python 2.6, i installed it into the /usr/local/lib
> folder
maybe I wasn't clear -- the MPL installer it meant to be used with the
binary from python.org. You want use the installer you get here:
http://www.python.org/download/
> python -c "import sys; p
Farhan Sheikh wrote:
> i have python 2.6 running on my mac osx 10.5, however when installing
> the binary file provided, it says i need to have python 2.6 on my
> machine. i dont understand why this is happening as when open a new
> terminal and type 'python', python version 2.6.2 is the vers
Erik Wickstrom wrote:
> Hi all,
>
> Can matplotlib (or any other Python charting library) generate charts
> like this: (also attached if you prefer)
>
> http://imagebin.ca/view/iGhEQEE.html
>
> It's basically a moving average with the vertical lines being the
> difference between the average and th
Jouni K. Seppänen wrote:
> "Werner F. Bruhin" writes:
>
>
>>> I think this has been fixed on the trunk for good, by changing all
>>> docstring modifications to use decorators (defined in docstring.py) that
>>> check for nonexistent docstrings. The changes are perhaps too big to
>>> apply on the
Erik Wickstrom schrieb:
> Hi all,
>
> Can matplotlib (or any other Python charting library) generate charts
> like this: (also attached if you prefer)
Here is a demo-script. The second way is inspired by matlab. Can this be
done more easily in python? Can X and Y be built more elegantly with numpy?
Hi Giuseppe,
As far as I understand you are looking for numpy.meshgrid, e.g.
# grid in x- direction
x = np.linspace(0, 1, 10)
# grid in y-direction
y = np.arange(5)
# generate 2D-vectors out of x and y
x, y = np.meshgrid(x, y)
print np.shape(x)
print np.shape(y)
Furthermore you have to reshape
Hi all,
Can matplotlib (or any other Python charting library) generate charts
like this: (also attached if you prefer)
http://imagebin.ca/view/iGhEQEE.html
It's basically a moving average with the vertical lines being the
difference between the average and the actual data point.
Can anyone send
I upgraded my numpy to 1.4.0.dev7375 and scipy to 0.8.0.dev5920. After doing so
I get a segfault upon calling the plot command (see below)
I guess I need to compile from source but I'm not sure exactly how to do so -
are there any good step-by-step instructions out there?
Thanks,
Dave
Python 2.5
Dear all,
i have python 2.6 running on my mac osx 10.5, however when installing
the binary file provided, it says i need to have python 2.6 on my
machine. i dont understand why this is happening as when open a new
terminal and type 'python', python version 2.6.2 is the version that
is ru
Arthur M. Greene wrote:
> Just to add a little info:
>
> I've been poking around various OPeNDAP servers looking for files to
> try and open (and read), and have had a little success, so the module
> does seem to work, if not all the time for my purposes. At the moment
> I'm on a 64-bit machine
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