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0

Similar to the example here I was making a scatter plot with images instead of points. It was great if I was plotting images themselves. But my problem was to plot a scatter plot of scatter plots. See the below image for example:

Yes its crowded, its a bad visualization, but its exploratory data analysis and I just want to traverse the space of mini-scatter plots.

How I managed to do this is as follows:

• For each miniscatter, I called
  tostring_rgb()
  to get a bytes object, and stored those bytestrings in a list without ever calling plt.show() but making sure to call plt.close() so as to
  have not too many images open. This way I can still close the figure, but have the image stored in memory.




• Then to make the larger scatter plot, I used
  PIL.Image.frombytes()
  before passing it to OffsetImage() as shown in the linked question.

I am now in a situation where I cannot use the pillow (therefore also scikit-image). Does anyone know of a pure matplotlib based approach to do something like this? Specifically can matplotlib itself convert the generated bytestring back to an image for use with OffsetIamge()?

python matplotlib

share|improve this question

asked Mar 7 at 21:50

ITAITA

275417

add a comment | 

0

Similar to the example here I was making a scatter plot with images instead of points. It was great if I was plotting images themselves. But my problem was to plot a scatter plot of scatter plots. See the below image for example:

Yes its crowded, its a bad visualization, but its exploratory data analysis and I just want to traverse the space of mini-scatter plots.

How I managed to do this is as follows:

• For each miniscatter, I called
  tostring_rgb()
  to get a bytes object, and stored those bytestrings in a list without ever calling plt.show() but making sure to call plt.close() so as to
  have not too many images open. This way I can still close the figure, but have the image stored in memory.




• Then to make the larger scatter plot, I used
  PIL.Image.frombytes()
  before passing it to OffsetImage() as shown in the linked question.

I am now in a situation where I cannot use the pillow (therefore also scikit-image). Does anyone know of a pure matplotlib based approach to do something like this? Specifically can matplotlib itself convert the generated bytestring back to an image for use with OffsetIamge()?

python matplotlib

share|improve this question

asked Mar 7 at 21:50

ITAITA

275417

add a comment | 

Similar to the example here I was making a scatter plot with images instead of points. It was great if I was plotting images themselves. But my problem was to plot a scatter plot of scatter plots. See the below image for example:

Yes its crowded, its a bad visualization, but its exploratory data analysis and I just want to traverse the space of mini-scatter plots.

How I managed to do this is as follows:

• For each miniscatter, I called
  tostring_rgb()
  to get a bytes object, and stored those bytestrings in a list without ever calling plt.show() but making sure to call plt.close() so as to
  have not too many images open. This way I can still close the figure, but have the image stored in memory.




• Then to make the larger scatter plot, I used
  PIL.Image.frombytes()
  before passing it to OffsetImage() as shown in the linked question.

I am now in a situation where I cannot use the pillow (therefore also scikit-image). Does anyone know of a pure matplotlib based approach to do something like this? Specifically can matplotlib itself convert the generated bytestring back to an image for use with OffsetIamge()?

python matplotlib

share|improve this question

asked Mar 7 at 21:50

ITAITA

275417

share|improve this question

asked Mar 7 at 21:50

ITAITA

275417

share|improve this question

asked Mar 7 at 21:50

ITAITA

275417

asked Mar 7 at 21:50

ITAITA

275417

asked Mar 7 at 21:50

ITAITA

275417