On 11/19/15, Smit, Christine E. (GSFC-610.2)[TELOPHASE CORP] ><christine.e.smit at nasa.gov> wrote:
(Christine, sorry for the double email. I forgot to "reply all".)
From: Jens Nielsen
<jenshnielsen at gmail.com<mailto:jenshnielsen at gmail.com>>
Date: Thursday, November 19, 2015 at 9:34 AM
To: csmit <christine.e.smit at nasa.gov<mailto:christine.e.smit at nasa.gov>>,
Nathan Goldbaum <nathan12343 at gmail.com<mailto:nathan12343 at gmail.com>>
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
It seem like this is a genuine bug but I am not sure how to fix it. Can
you
submit a bug report at Github so we are sure that this is captured? At
github you can attach pictures
Best Jens
On Thu, 19 Nov 2015 at 14:25 Smit, Christine E. (GSFC-610.2)[TELOPHASE >>CORP] >> <christine.e.smit at nasa.gov<mailto:christine.e.smit at nasa.gov>> wrote:
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:
Untitled3.ipynb · GitHub
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
0
0
127
0
0
127
0
0
127
0
0
127
0
0
127
127
0
0
0
0
127
0
0
127
0
0
127
0
0
127
0
0
127
127
0
0
0
0
127
0
0
127
0
0
127
0
0
127
127
0
0
127
0
0
0
0
127
0
0
127
0
0
127
0
0
127
0
0
127
127
0
0
127
0
0
0
0
127
0
0
127
0
0
127
0
0
127
127
0
0
0
0
127
0
0
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0
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0
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0
127
127
0
0
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0
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0
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0
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0
127
0
0
127
0
0
127
0
0
127
0
0
127
-------------------------------------------------------------------------
--
Thanks.
Christine
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