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How to plot an image from a connection matrix? – Photoshop

I want to write a script to create an image from a connection matrix. Basically, wherever there is a ‘1’ in the matrix, I want that area to be shaded in the image. For eg –

enter image description here

I created this image using Photoshop. But I have a large dataset so I will have to automate the process. It would be really helpful if anyone could point me in the right direction.

EDIT

The image that I am getting after using the script is this. This is due to the fact that the matrix is large (19 x 19). Is there any way I can increase the visibility of this image so the black and white boxes appear more clear?

enter image description here

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3

Answers


  1. 0

    I would suggest usage of opencv combined with numpy in this case.
    Create two-dimensional numpy.array of dtype='uint8' with 0 for black and 255 for white. For example, to get 2×2 array with white left upper, white right lower, black left lower and black right upper, you could use code:

    myarray = numpy.array([[255,0],[0,255]],dtype='uint8')

    Then you could save that array as image with opencv2 in this way:

    cv2.imwrite('image.bmp',myarray)

    In which every cell of array is represented by single pixel, however if you want to upscale (so for example every cell is represented by 5×5 square) then you might use numpy.kron function, with following one line:

    myarray = numpy.kron(myarray, numpy.ones((5,5)))

    before writing image

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  2. 0

    May be you can try this!

    import matplotlib.cm as cm 
# Display matrix
plt.imshow(np.random.choice([0, 1], size=100).reshape((10, 10)),cmap=cm.binary)

    enter image description here

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  3. 0

    With a Seaborn heatmap:

    import seaborn as sns
np.random.seed(3)
sns.set()
data = np.random.choice([0, 1], size=(16,16), p=[3./4, 1./4])
ax = sns.heatmap(data, square=True, xticklabels=False, yticklabels=False, cbar=False, linewidths=.8, linecolor='lightgray', cmap='gray_r')

    enter image description here

    Note the reverse colormap gray_r to have black for 1’s and white for 0’s.

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