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From: Eric F. <ef...@ha...> - 2014-06-17 19:20:48
|
On 2014/06/17, 8:59 AM, Bruno Pace wrote: > Hi all, > > I'm trying to use imshow to plot some values which fall on the interval > [0,1]. I need to > use a logscale to emphasize the scales of the data. The solution I found > checking some discussions was like this > > plt.imshow(X, interpolation='none', norm=matplotlib.colors.LogNorm()) > > However, I notice that the way these colors are assigned are not always > the same (although my data always contains the minimum value 0.0 and > the maximum 1.0). I need to have a coherent color scale to indicate > the real values. Is it easier to do the color code myself? What is the > proper way of tackling this problem?? Use the vmin and vmax kwargs to LogNorm, remembering that vmin must be greater than zero for a log scale. Eric > > It's pretty much the same problem described here, but with a logscale... > > http://stackoverflow.com/questions/7875688/how-can-i-create-a-standard-colorbar-for-a-series-of-plots-in-python > > > Thank you very much! > > Bruno > > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |
|
From: Bruno P. <bru...@gm...> - 2014-06-17 18:59:43
|
Hi all, I'm trying to use imshow to plot some values which fall on the interval [0,1]. I need to use a logscale to emphasize the scales of the data. The solution I found checking some discussions was like this plt.imshow(X, interpolation='none', norm=matplotlib.colors.LogNorm()) However, I notice that the way these colors are assigned are not always the same (although my data always contains the minimum value 0.0 and the maximum 1.0). I need to have a coherent color scale to indicate the real values. Is it easier to do the color code myself? What is the proper way of tackling this problem?? It's pretty much the same problem described here, but with a logscale... http://stackoverflow.com/questions/7875688/how-can-i-create-a-standard-colorbar-for-a-series-of-plots-in-python Thank you very much! Bruno |
|
From: Paul H. <pmh...@gm...> - 2014-06-17 14:37:19
|
Based on the example you posted, you need like: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.contour(data) ax.axhline(magic_value) On Mon, Jun 16, 2014 at 1:30 AM, dydy2014 <dya...@gm...> wrote: > Hello all, > > I have contour plot like this and I have problem to pick a particular data > along red line and save it. > How do I make it with python program? > > <http://matplotlib.1069221.n5.nabble.com/file/n43532/190311.png> > > Thank you in advance. > > Dydy > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Pick-a-particular-data-from-array-tp43532.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |
|
From: felix_werner <ff....@gm...> - 2014-06-17 08:33:06
|
Perfect, many thanks! So the trick was _not_ to do "show()" in A.py (Moreover, doing "draw()" in A.py also seems necessary... even though I don't really get why -- actually in my own more complicated program, it works also without this draw...) -- View this message in context: http://matplotlib.1069221.n5.nabble.com/modifying-a-plot-from-an-imported-module-tp43533p43537.html Sent from the matplotlib - users mailing list archive at Nabble.com. |