I am trying to create a 16-bit image like so:
import skimage import random from random import randint xrow=raw_input("Enter the number of rows to be present in image.=>") row=int(xrow) ycolumn=raw_input("Enter the number of columns to be present in image.=>") column=int(ycolumn) A={} for x in xrange(1,row): for y in xrange(1,column): a=randint(0,65535) A[x,y]=a imshow(A)
But I get the error TypeError: Image data can not convert to float
.
This question comes up first in the Google search for this type error, but does not have a general answer about the cause of the error. The poster's unique problem was the use of an inappropriate object type as the main argument for plt.imshow()
. A more general answer is that plt.imshow()
wants an array of floats and if you don't specify a float
, numpy, pandas, or whatever else, might infer a different data type somewhere along the line. You can avoid this by specifying a float
for the dtype
argument is the constructor of the object.
See the Numpy documentation here.
See the Pandas documentation here
This happened for me when I was trying to plot an imagePath, instead of the image itself. The fix was to load the image, and plotting it.
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