Il giorno 26/apr/2013 13:16, "Hackstein" <news.hackst...@gmx.net> ha
scritto:
>
> Thanks, Ryan, this is (amost) exactly what I was looking for. Now, I get
the markers and their colors right, but I still have two problems:
> The markers have a black edges, that I cannot get rid of. I've tried
>
> rect = Rectangle(..., ec=None)
>
> and also
>
> col.set=edgecolor(None)
I think that you have to use the string 'none' instead of None type. The
latter is used to use the default value for the variable (in you case
black).
cheers
Francesco
>
> and 'None', respectively, both with no effect whatsoever.
>
> The second problem is, that I cannot get the colorbar to work.
> I tried
>
> sc = ax.add_collection(col)
> plt.colorbar(sc)
>
> and
>
> plt.colobar(col)
>
> both do not work.
> Any Ideas how to fix those two issues?
>
> Thanks,
>
> -Hackstein
>
>
> > Message: 4
> > Date: Thu, 25 Apr 2013 19:44:23 -0400
> > From: Ryan Nelson <rnelsonc...@gmail.com>
> > Subject: Re: [Matplotlib-users] Individual custom markers and colorbar
> > To: matplotlib-users@lists.sourceforge.net
> > Message-ID: <5179bfd7.7060...@gmail.com>
> > Content-Type: text/plain; charset="iso-8859-1"
> >
> > Hackstein,
> >
> > Unfortunately, I'm not sure of an 'elegant' way to do what your asking
> > with a single call to scatter. Others may know a better way. However,
> > you can use rectangle patches and patch collections. (Requires a bit
> > more code than scatter but is ultimately more flexible.)
> >
> > I think the example below does what you need, but with random numbers.
> >
> > Hope it helps a little.
> >
> > Ryan
> >
> > #######################
> > import numpy as np
> > import matplotlib.pyplot as plt
> > from matplotlib.patches import Rectangle
> > from matplotlib.collections import PatchCollection
> >
> > n = 100
> >
> > # Get your xy data points, which are the centers of the rectangles.
> > xy = np.random.rand(n,2)
> >
> > # Set a fixed height
> > height = 0.02
> > # The variable widths of the rectangles
> > widths = np.random.rand(n)*0.1
> >
> > # Get a color map and color values (normalized between 0 and 1)
> > cmap = plt.cm.jet
> > colors = np.random.rand(n)
> >
> > rects = []
> > for p, w, c in zip(xy, widths, colors):
> > xpos = p[0] - w/2 # The x position will be half the width from the
> > center
> > ypos = p[1] - height/2 # same for the y position, but with height
> > rect = Rectangle( (xpos, ypos), w, height ) # Create a rectangle
> > rects.append(rect) # Add the rectangle patch to our list
> >
> > # Create a collection from the rectangles
> > col = PatchCollection(rects)
> > # set the alpha for all rectangles
> > col.set_alpha(0.3)
> > # Set the colors using the colormap
> > col.set_facecolor( cmap(colors) )
> >
> > # Make a figure and add the collection to the axis.
> > ax = plt.subplot(111)
> > ax.add_collection(col)
> > plt.show()
> >
> > ###############################
> >
> >
> > On 4/24/2013 5:35 PM, Hackstein wrote:
> >>
> >> Hi all,
> >>
> >> I am trying to get a scatter plot using a colormap. Additionally, I
> >> need to define every marker for every data point individually -- each
> >> being a rectangle with fixed height but varying width as a function of
> >> the y-value. X and y being the data coordinates, z being a number to
> >> be color coded with the colormap.
> >>
> >> Ideally, I would like to create a list of width and height values for
> >> each data point and tell the scatter plot to use those.
> >>
> >> So far I got colormapped data with custom markers (simplified):
> >>
> >> [code]
> >>
> >> import numpy as np
> >>
> >> import matplotlib.pyplot as plt
> >>
> >> from pylab import *
> >>
> >> x = y = [1,2,3,4,5]
> >>
> >> z = [2,4,6,8,10]
> >>
> >> colors = cm.gnuplot2
> >>
> >> verts_vec = list(zip([-10.,10.,10.,-10.],[-5.,-5.,5.,5.]))
> >>
> >> fig = plt.figure(1, figsize=(14.40, 9.00))
> >>
> >> ax = fig.add_subplot(1,1,1)
> >>
> >> sc = ax.scatter(x, y, c=np.asarray(z), marker=None, edgecolor='None',
> >> verts=verts_vec, cmap=colors, alpha=1.)
> >>
> >> plt.colorbar(sc, orientation='horizontal')
> >>
> >> plt.savefig('test.png', dpi=200)
> >>
> >> plt.close(1)
> >>
> >> [/code]
> >>
> >> But I need to define a marker size for each point, and I also need to
> >> do that in axis scale values, not in points.
> >>
> >> I imagine giving verts a list of N*2 tuples instead of 2 tuples, N
> >> being len(x), to define N individual markers.
> >>
> >> But when doing that I get the error that vertices.ndim==2.
> >>
> >> A less elegant way would be to plot every data point in an individual
> >> scatter plot function, using a for-loop iterating over all data
> >> points. Then, however, I see no way to apply a colormap and colorbar.
> >>
> >> What is the best way to accomplish that then?
> >>
> >> Thanks,
> >>
> >> -Hackstein
> >>
> >>
> >>
> >>
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