Convert numpy.array object to PIL image object

Question

I have been trying to convert a numpy array to PIL image using Image.fromarray but it shows the following error.

Traceback (most recent call last): File "C:\Users\Shri1008 Saurav Das\AppData\Local\Programs\Python\Python36-32\lib\site-packages\PIL\Image.py", line 2428, in fromarray mode, rawmode = _fromarray_typemap[typekey] KeyError: ((1, 1, 3062), '|u1')

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:/Users/Shri1008 Saurav Das/AppData/Local/Programs/Python/Python36-32/projects/try.py", line 13, in img = Image.fromarray(IMIR) File "C:\Users\Shri1008 Saurav Das\AppData\Local\Programs\Python\Python36-32\lib\site-packages\PIL\Image.py", line 2431, in fromarray raise TypeError("Cannot handle this data type") TypeError: Cannot handle this data type

I extracted the matrix from an hdf5 file and converted it to a numpy array. I then did some basic transformations to enhance contrast(most probable reason for error). Here is the code.

import tkinter as tk
import h5py as hp
import numpy as np
from PIL import Image, ImageTk

hf = hp.File('3RIMG_13JUL2018_0015_L1C_SGP.h5', 'r')
IMIR = hf.get('IMG_MIR')
IMIR = np.uint8(np.power(np.double(np.array(IMIR)),4)/5000000000)
IMIR = np.array(IMIR)

root = tk.Tk()
img = Image.fromarray(IMIR)
photo = ImageTk.PhotoImage(file = img)
cv = tk.Canvas(root, width=photo.width(), height=photo.height())
cv.create_image(1,1,anchor="nw",image=photo)

I am running Python 3.6 on Windows 10. Please help.

PIL requires MxN(x3) arrays of a reasonable data type. What are you passing in? — Mad Physicist, Jul 23 '18 at 12:46
Its a M*N*1 Matrix (hence grayscale) and I have toned it down(using /5000000000) to 0-255 limits, suitable for uint8 type — Incognito Possum, Jul 23 '18 at 13:08
Here's the dset if it helps [**DATASET LINK**](https://drive.google.com/file/d/1UX8GyztY1OWgQIQbFUhl8lO4CH-7-ZjW/view?usp=sharing) — Incognito Possum, Jul 23 '18 at 13:29

score 4 · Accepted Answer · answered May 29 '19 at 23:34

The problem is the shape of your data. Pillow's fromarray function can only do a MxNx3 array (RGB image), or an MxN array (grayscale). To make the grayscale image work, you have to turn you MxNx1 array into a MxN array. You can do this by using the np.reshape() function. This will flatten out the data and then put it into a different array shape.

IMIR = IMIR.reshape(M, N) #let M and N be the dimensions of your image

(add this before the img = Image.fromarray(IMIR))

Convert numpy.array object to PIL image object

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