[Matplotlib-users] odd behavior with 'nearest' interpolation

[Smit, Christine E. (GSFC-610.2)[TELOPHASE CORP]]

Yes. It works with 'none.' The problem is that sometimes we need to create images with low inflation factors. So, our data is nxm data points and we want a 2nx2m image or a 3nx3m image. We're currently getting around this bug by using 'none' to create an nxm image and then using imagemagick's convert to resize.

From: Jens Nielsen <jenshnielsen at gmail.com<mailto:jenshnielsen at gmail.com>>
Date: Wednesday, November 18, 2015 at 6:28 AM
To: Nathan Goldbaum <nathan12343 at gmail.com<mailto:nathan12343 at gmail.com>>, csmit <christine.e.smit at nasa.gov<mailto:christine.e.smit at nasa.gov>>
Cc: "matplotlib-users at python.org<mailto:matplotlib-users at python.org>" <matplotlib-users at python.org<mailto:matplotlib-users at python.org>>
Subject: Re: [Matplotlib-users] odd behavior with 'nearest' interpolation

I can confirm this. The issue is notable with a dpi lower than 10 or so and seems to get worse as it is lowered towards 1.
Can you try plotting the image with interpolation='none' If I do that I get the correct behaviour. 'none' is probably the correct setting if you wish to match
image matrix 1to1 to png coords anyway.

@nathan The image in the notebook is plotted with a different dpi and works correctly.

best Jens

On Tue, 17 Nov 2015 at 22:38 Nathan Goldbaum <nathan12343 at gmail.com<mailto:nathan12343 at gmail.com>> wrote:
This seems to be working ok for me: https://gist.github.com/faa6b4008a8e3db68f46

On Tue, Nov 17, 2015 at 4:22 PM, Smit, Christine E. (GSFC-610.2)[TELOPHASE CORP] <christine.e.smit at nasa.gov<mailto:christine.e.smit at nasa.gov>> wrote:
Hi! I am using matplotlib v 1.4.3 with Python 2.7.10 :: Anaconda 2.4.0 (64-bit).

What I am doing here is creating a 7x7 pixel image from a 7x7 matrix. I expect to see one pixel per data point, but that's not what I'm seeing. Instead of a diagonal make up of single pixels, I get an odd 2x2 pixel blob in the middle of the correct one pixel diagonal.

---------------------------------------------------------------------------
import numpy as np
import matplotlib.pylab as plt


if __name__ == "__main__":
    n = 7
    data = np.identity(n, float)

    # Create an nxn size figure with no frame
    fig = plt.figure(figsize=(n, n), frameon=False)

    # make the axes to the edge of the figure
    ax = plt.Axes(fig, [0.0, 0.0, 1.0, 1.0])
    # turn the axes off
    ax.set_axis_off()
    # add the axes to this figure
    fig.add_axes(ax)
    # show the data. Don't do any interpolation.
    ax.imshow(data, interpolation='nearest', origin='lower',aspect='auto')
    # Save the figure at 1 dot per inch, which should mean 1 data point per
    # pixel
    fig.savefig("image.png", dpi=1)

---------------------------------------------------------------------------

Since I'm not sure that if I can attach the png image I get, here is a ppm version of the image I get (between the ------). Save this image.ppm minus the dashes and you should be able to open it in something like gimp.

---------------------------------------------------------------------------
P3
# CREATOR: GIMP PNM Filter Version 1.1
7 7
255
0
0
127
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127
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127
---------------------------------------------------------------------------

Thanks.
Christine

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