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("Enter the          


        

Answer 1

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

Answer 2

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.=>")
row = int(xrow)
ycolumn = raw_input("Enter the number of columns to be present in image.=>")
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()

Answer 3

Try this

plt.imshow(im.reshape(im.shape[0], im.shape[1]), cmap=plt.cm.Greys)

It would help in some cases.

Answer 4

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().

Answer 5

First read the image as an array

image = plt.imread(//image_path)
plt.imshow(image)

Answer 6

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") ------>"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"