Oz Nahum wrote: > Hi Eric, > really thanks for your help so far. I am doing a quick short course, and > I'll do the examples later. > I've fixed the code, here it is: > > from matplotlib import pyplot as plt > temperature=[ > [10,8,6], > [9,7,5], > [8,7,4] > ] > > distance = (100,200,300) > depth = (100,300,700) > > x = distance > y = depth > z = temperature > > m = plt.contourf(x,y,z) > plt.gca().invert_yaxis() > plt.colorbar(m) > plt.show(m) > > the trouble now that the contours seems wrong... and my question still > stands. I'd like to do the plot as said: contours + series, can you show > me where I'm wrong ?
The plot looks right to me--I see 4 degrees in the lower RH corner, 300 distance units and 700 depth units. Why do you say the contours seem wrong? As for plotting the "series", what do you mean? Put circles on the data points? Then include something like this, after the call to contourf: import numpy as np X, Y = np.meshgrid(x,y) plt.hold(True) # probably not necessary plt.plot(X,Y, 'o') Eric > > thanks, Oz > > On Wed, Jul 16, 2008 at 9:37 PM, Eric Firing <[EMAIL PROTECTED] > <mailto:[EMAIL PROTECTED]>> wrote: > > Oz Nahum wrote: > > Ok, I played with it a little bit. > > Here is what I know: > importing the data is not a big issue, I aready wrote a tutorial > about it here: > http://www.tabula0rasa.org/?p=21 > > here is a sample code I wrote. > from matplotlib import pyplot as plt > from pylab import * > temperature=[ > [1,3,4], > [2,4,5], > [6,3,2] > ] > > distance = (100,200,300) > depth = (10,30,50) > > plt.colorbar() > plt.contourf(distance,depth,temperature) > plt.gca().invert_yaxis() > plt.show() > > > > Can I plot the dots as different series on top of the contours ? > > > First you have to make your basic example work; what you posted > above does not. > 1) For an example like this, use a different number of points in the > x and y directions, to make it clear how the arrays are oriented. > 2) The colorbar command must *follow* the contourf command. > 3) Make your test temperature profiles more reasonable, i.e. > temperature decreasing with depth, so you can see whether your plot > is doing the right thing. > 4) Omit the "from pylab import *" > 5) Once you start doing real work, you will need numpy. The > suggested import syntax is "import numpy as np". > 6) Study the examples that come with mpl. > > Eric > > ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
