TypeError Image data can not convert to float

Question

I am trying to create a 16-bit image like so  import skimage  import random from random import randint                         xrow raw input  quot Enter the number of rows to be present in image   gt  quot   row int xrow  ycolumn raw input  quot Enter the number of columns to be present in image   gt  quot   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

User · Answer

First read the image as an array image   plt imread   image path  plt imshow image

User · Answer

The problem was that my array was  in type u3 i changed it to float and it worked for me   I had a dataframe with Image column having the image pic data Reshaping part depends to person to person and image they deal with mine had 9126 size hence it was 96 96  a   np array df train iloc 0  Image split   dtype  float   a   a reshape 96 96  plt imshow a

User · Answer

Try this   plt imshow im reshape im shape 0   im shape 1    cmap plt cm Greys    It would help in some cases

User · Answer

Try to use this      plt imshow numpy real A      plt show     instead of plt imshow A

User · Answer

From what I understand of the scikit-image docs  http   scikit-image org docs dev index html   imshow   takes a ndarray as an argument  and not a dictionary   http   scikit-image org docs dev api skimage io html highlight imshow skimage io imshow  Maybe if you post the whole stack trace  we could see that the TypeError comes somewhere deep from imshow

User · Answer

I guess you may have this problem in Pycharm  If so  you may try this to your problem   Go to File-Setting-Tools-Python Scientificin Pycharm and remove the option of Show plots in tool window

User · Answer

The error occurred when I unknowingly tried plotting the image path instead of the image   My code    import cv2 as cv from matplotlib import pyplot as plt import pytesseract from resizeimage import resizeimage  img   cv imread  D  TemplateMatch  fitting png   ------ gt  THIS IS THE WRONG USAGE   cv rectangle img  29 2496   604 2992   255 0 0  5  plt imshow img    Correction  img   cv imread  fitting png   --- THIS IS THE RIGHT USAGE

User · Answer

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

User · Answer

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

User · Answer

try   import skimage import random from random import randint import numpy as np import matplotlib pyplot as plt   xrow   raw input  Enter the number of rows to be present in image   gt    row   int xrow  ycolumn   raw input  Enter the number of columns to be present in image   gt    column   int ycolumn   A   np zeros  row column   for x in xrange 1  row       for y in xrange 1  column           a   randint 0  65535          A x  y    a  plt imshow A  plt show

User · Answer

As for cv2 is concerned    You might not have provided the right file type while cv2 imread    eg jpg instead of png  Or you are providing image path instead of image s array  eg plt imshow img path     try cv2 imread img path  first then plt imshow img  or cv2 imshow img

User · Answer

I was also getting this error  and the answers given above says that we should upload them first and then use their name instead of a path - but for Kaggle dataset  this is not possible   Hence the solution I figure out is by reading the the individual image in a loop in mpimg format  Here we can use the path and not just the image name    I hope it will help you guys     import matplotlib image as mpimg for img in os listdir   content train       image   mpimg imread path    plt imshow image    plt show

User · Answer

In my case image path was wrong  So firstly  you might want to check if image path is correct

[python] TypeError: Image data can not convert to float

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