On Saturday, February 18, 2012, Tony Yu wrote:
>
>
> On Tue, Feb 14, 2012 at 12:49 PM, Olе Streicher
> <ole-usenet-s...@gmx.net<javascript:_e({}, 'cvml',
> 'ole-usenet-s...@gmx.net');>
> > wrote:
>
>> Jerzy Karczmarczuk
>> <jerzy.karczmarc...@unicaen.fr <javascript:_e({}, 'cvml',
>> 'jerzy.karczmarc...@unicaen.fr');>> writes:
>> > Could you provide a /working/ example with the geometry you really want?
>> > I believe I thought more or less about it as Tony Yu did. If it is
>> > wrong, be more precise, please.
>>
>> I have a data set that looks like this:
>>
>> mydata = numpy.copy([
>>
>> # lambda, data
>>
>> # First data row
>> [[5002., 0.5],
>> [5200., 0.34],
>> [5251., -1.2],
>> # ...
>> [8997., 2.4]],
>>
>> # second data row
>> [[5002., 0.72],
>> [5251., 0.9],
>> # ...
>> [8997., 0.1]],
>>
>> # other data rows to follow
>> # ...
>> ])
>>
>> where I want to put the first column (lambda) on the Y axis, which each
>> data row as one colorbar (like in your code), and the data as the color
>> of that data point -- interpolated vertically.
>>
>> Best regards
>>
>> Ole
>>
>>
> OK, I see now.
>
> Unfortunately, this makes it quite a bit more complex, but it's still
> doable. Part of the complexity arises because of (what I believe to be) a
> quirk in NonUniformImage: You can pass an extent argument, but this only
> rescales the data---it doesn't clip the data. You have to manually clip the
> borders of each bar.
>
> Here's an example:
>
> #---
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib.image import NonUniformImage
>
> width = 0.5
> height = 10
>
> ax = plt.gca()
>
> for x0 in np.arange(11):
> y = np.sort(np.random.uniform(high=height, size=10))
> z = np.random.random(size=(10, 1))
> # Note NonUniformImage fails with single column; double up data
> z = np.repeat(z, 2, axis=1)
> x = [x0, x0]
>
> extent = (x0-width/2., x0+width/2, y[0], y[-1])
> im = NonUniformImage(ax, interpolation='bilinear', extent=extent)
> im.set_data(x, y, z)
>
> # clip image
> x_left = extent[0]
> xm = [x_left, x_left + width, x_left + width, x_left]
> ym = [0, 0, height, height]
> mask, = ax.fill(xm, ym, facecolor='none', edgecolor='none')
> im.set_clip_path(mask)
>
> ax.images.append(im)
>
> ax.set_xlim(-width, x0+width)
>
> plt.show()
> #---
>
> HTH,
> -Tony
>
Not a quirk. Extent is used to define a domain for the passed in data. If
none is given, one is assumed from the input data. If you want clipping,
either set x and y limits or pass in a slice of the data.
Ben Root
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