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Dear All, I am quite a newbie about Python and Pylab, but I am starting to like the ease you can develop with using these tools. I am interested in 2D radial plots (think for instance about the plot of the temperature along the cross-section of a pipe). I had a look at the tutorial online, in particular to the case described in: http://matplotlib.sourceforge.net/screenshots/polar_demo.py but there is something which is not 100% clear to me. What if, instead of having an analytical expression for the quantity I want to plot I have to read it (together with the r and theta coordinates) from a file, e.g.: r theta T where the columns r and theta contain the list of (r,theta) coordinates (the "grid" I am using along the cross section) and T the temperature evaluated at that grid point? If necessary, I can post an example file (but at the moment I am working with fairly big files and I think I conveyed an idea of what I am after). Many thanks Lorenzo
Steve Schmerler wrote: > Beha Online wrote: >> I receive the following message when I import pylab with: "from pylab import *": >> >> /usr/lib64/python2.4/site-packages/matplotlib/numerix/__init__.py:67: >> DeprecationWarning: Numeric use as a numerix backed for matplotlib is >> deprecated >> DeprecationWarning, stacklevel=1) >> > > In your ~/.matplotlib/matplotlibrc file set "numerix: numpy" in order to > use numpy. AFAIK, the support for Numeric and numarray will be dropped > sooner or later. > Correct. It has already been dropped in svn, so the next release will support only numpy. The numerix module will still be present, so the change to numpy-only inside mpl should not break user code, provided the user has numpy installed. Eric
Beha Online wrote: > I receive the following message when I import pylab with: "from pylab import *": > > /usr/lib64/python2.4/site-packages/matplotlib/numerix/__init__.py:67: > DeprecationWarning: Numeric use as a numerix backed for matplotlib is > deprecated > DeprecationWarning, stacklevel=1) > In your ~/.matplotlib/matplotlibrc file set "numerix: numpy" in order to use numpy. AFAIK, the support for Numeric and numarray will be dropped sooner or later. -- cheers, steve Random number generation is the art of producing pure gibberish as quickly as possible.
I receive the following message when I import pylab with: "from pylab import *": /usr/lib64/python2.4/site-packages/matplotlib/numerix/__init__.py:67: DeprecationWarning: Numeric use as a numerix backed for matplotlib is deprecated DeprecationWarning, stacklevel=1) What can be wrong here? I am on Linux Fedora 6, 64 bits version, Python 2.4.4 Thanks for any help. -Beha
On Sunday 24 June 2007 20:45:09 Rodrigo L=F3pez Negrete de la Fuente wrote: > I've been trying to generate certain plots, but sometimes I get strange > additions to the yticks in the plots. I've been wondering if there is a w= ay > to force matplotlib to not do that, and only use multiplicative correctio= ns > to the plots (i.e., just the x1e-3 for example and not the +4.519x10). Rodrigo, This behaviour is controlled by the formatter of the yaxis. Choose one=20 formatter that suits you, or define your own. More info: http://matplotlib.sourceforge.net/matplotlib.ticker.html examples/newscalarformatter_demo.py
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