On Tue, 10 Nov 2009 13:13 -0500, George Bonev
george...@gmail.com wrote:
Hello,
I am plotting a fig in Basemap, but I don't need the extra
while space on the sides of the figure when I use savfig(). I
tried axes([0,0,1,1]) but that just gave me a blank white
screen with some ticks on
Hello, I'm trying to write a function to create a 'vanilla' NetCDF file to
which I can add data.
So far I have created the following, which is designed to set up a netcdf
file for the addition of global or at least lat/lon datasets. My question
has to do with attribute setting. Is it valid to do
Hi all,
Previously I was a user of gnuplot but have been giving matplotlib a
try. One thing I've run in to right away is that matplotlib appears
to be significantly slower.
A script to produce a dozen plots was taking me ~1 second with
gnuplot, and now takes me ~18 seconds with
On Wed, Nov 11, 2009 at 7:31 AM, John [H2O] washa...@gmail.com wrote:
Hello, I'm trying to write a function to create a 'vanilla' NetCDF file to
which I can add data.
So far I have created the following, which is designed to set up a netcdf
file for the addition of global or at least lat/lon
No problem.. just wanted to make sure it would work and is 'pythonic'.
I guess the biggest concern is that for others using the netcdf file, say
from matlab or somewhere else, will be able to access the attributes.
It seemed so easy to do it this way, I was curious why the tutorials suggest
On Wed, Nov 11, 2009 at 9:26 AM, John washa...@gmail.com wrote:
No problem.. just wanted to make sure it would work and is 'pythonic'.
I guess the biggest concern is that for others using the netcdf file, say
from matlab or somewhere else, will be able to access the attributes.
It seemed so
It's actually just a nice part of the python language, setattr(a,
'foo', 'bar') is the same code as a.foo = bar. When working with
NetCDF, the only time I've needed to use setarr (or getattr) is when
the name of the attribute I want isn't a valid python identifier (like
if an attribute has a
Hi,
Is there a way to somehow squeeze two datasets with two different color
maps into one pcolormesh? Say one dataset occupies one triangle (e. g.
numpy.triu(dataset1, 1)) and the second dataset a different area (e. g.
numpy.tril(dataset2, -1)) and then paste the two datasets in one
pcolormesh
Hi,
I'm running matplotlib v 0.99.0.
I can create a 3D scatterplot, like this:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = Axes3D(fig)
ax.scatter( ... )
so far so good.
Now, say I want to add a 2D contourplot (a slice of the 3D scatter
hi all,
i've been using genfromtxt to parse tab separated files for plotting
purposes in matplotlib. the problem is that genfromtxt seems to give
only two ways to access the contents of the file: one is by column,
where you can use:
d = genfromtxt(...)
and then do d['header_name1'] to access
ideally what i would like is to be able to traverse each line of the
parsed file, and then refer to each of its fields by header name, so
that if the column order in the file changes my program will be
unaffected:
What you want is a DictReader.
For a quick example of me using that,
On Wed, Nov 11, 2009 at 11:53 AM, per freem perfr...@gmail.com wrote:
hi all,
i've been using genfromtxt to parse tab separated files for plotting
purposes in matplotlib. the problem is that genfromtxt seems to give
only two ways to access the contents of the file: one is by column,
where
Hi,
Awhile back, Jae-Joon helped me transform collection sizes from points
to data values by overriding the `get_transform` method of a
RegularPolyCollection (see example code below).
When I tried the code today, the collection didn't appear on the plot.
Removing the get_transform method
Which older revision (or release) worked as you expected?
Mike
Tony S Yu wrote:
Hi,
Awhile back, Jae-Joon helped me transform collection sizes from points
to data values by overriding the `get_transform` method of a
RegularPolyCollection (see example code below).
When I tried the code
It looks like you are storing your source data in a python list. Matplotlib
runs much faster if you store your data using a numpy array instead.
I'm no expert, but it certianly sped up my graph drawing.
-Tom
Message: 5
Date: Wed, 11 Nov 2009 08:53:58 -0600
From: Mike Anderson
On Nov 11, 2009, at 1:33 PM, Michael Droettboom wrote:
Which older revision (or release) worked as you expected?
After some digging, I think this issue is caused by an error in the
macosx backend (everything works fine with tkagg, qt4agg, and agg).
Oddly enough, calling savefig(), instead
Hello,
In my filled contour plot: http://imgur.com/vXoCL.png
There are faint lines between the contour levels. I think they are yellow
since they disappear in the yellow parts of the graph and are most obvious
in the red areas. Is there any way to get rid of these lines? The number of
contour
Thanks for your reply, Giorgio. I had a look at the documentation for pcolor
but unfortunately, I can't pick out where I have gone wrong. I have attached
my data array as a txt file. In ipython, I use the 'loadtxt' command to load
the dataset and then assigned the variables x,y, and z to the
On Wed, Nov 11, 2009 at 3:22 PM, Shrividya Ravi penthesel...@gmail.com wrote:
Thanks for your reply, Giorgio. I had a look at the documentation for pcolor
but unfortunately, I can't pick out where I have gone wrong. I have attached
my data array as a txt file. In ipython, I use the 'loadtxt'
Ryan Neve wrote:
Hello,
In my filled contour plot: http://imgur.com/vXoCL.png
There are faint lines between the contour levels. I think they are
yellow since they disappear in the yellow parts of the graph and are
most obvious in the red areas. Is there any way to get rid of these
lines?
Tue, 10 Nov 2009 23:45:10 -0800, shriv wrote:
I am a very new user to both python and matplotlib so please beware that
my questions might be a real no-brainer. Here goes: I have a 3D array of
data that I isolated from a much larger dataset. The first two columns
are the x and y positions while
I'm not exactly sure what you're trying to do. but I think what you
want can be easily achieved by simply using the masked array. Is the
example below similar to what you need?
a = np.arange(100).reshape((10,10))
m1 = np.triu(a, 1) 0
m2 = np.tril(a, -1) 0
#m2 = ~m1
am1 = np.ma.array(a,
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
I just installed matplotlib on Snow Leopard 10.6 with the Qt4 backend (via
macports). However, when I try one of the Qt4 examles:
python
/opt/local/share/py26-matplotlib/examples/user_interfaces/embedding_in_qt4.py
I get the following error message:
Traceback (most recent call last):
File
Hello. I'm trying to embed mpl in an wxpython app which is intended
to run repeatedly within a single script. (It's a workaround for not
being able to use pyplot.show() more than once in a script.)
All seems to work as intended when I don't attach any key press events
(here to just destroy the
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