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Opening an image with its original file name on display using Python?

I have a chart function that saves the end figure as a file. After I run the function, I also want it to display the figure at the end. So, I use this:
from PIL import Image
filepath = 'image.png'
img = Image.open(filepath)
img.show()
It works just fine, but when the file opens, it opens with a random file name, not the actual file name.
This can get troublesome as I have a lot of different chart functions that work in a similar fashion, so having logical names is a plus.
Is there a way I can open an image file with Python and have it display it's original file name?
EDIT
I'm using Windows, btw.
EDIT2
Updated the example with code that shows the same behaviour.

Instead of PIL you could use this:-
import os
filepath = "path"
os.startfile(filepath)
Using this method will open the file using system editor.
Or with PIL,
import Tkinter as tk
from PIL import Image, ImageTk # Place this at the end (to avoid any conflicts/errors)
window = tk.Tk()
#window.geometry("500x500") # (optional)
imagefile = {path_to_your_image_file}
img = ImageTk.PhotoImage(Image.open(imagefile))
lbl = tk.Label(window, image = img).pack()
window.mainloop()

The function img.show() opens a Windows utility to display the image. The image is first written to a temporary file before it is displayed. Here is the section from the PIL docs.
https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.show
Image.show(title=None, command=None)[source] Displays this image. This
method is mainly intended for debugging purposes.
This method calls PIL.ImageShow.show() internally. You can use
PIL.ImageShow.register() to override its default behaviour.
The image is first saved to a temporary file. By default, it will be
in PNG format.
On Unix, the image is then opened using the display, eog or xv
utility, depending on which one can be found.
On macOS, the image is opened with the native Preview application.
On Windows, the image is opened with the standard PNG display utility.
Parameters title – Optional title to use for the image window, where
possible.
"
The issue is that PIL uses a quick-and-dirty method for showing your image, and it's not intended for serious application use.

convert all img in one pdf .?

I would like to finish my script, I tried a lot to solve but being a beginner failed.
I have a function imageio which takes image from website and after that, i would like resize all images in 63x88 and put all my images in one pdf.
full_path = os.path.join(filePath1, name + ".png")
if os.path.exists(full_path):
number = 1
while True:
full_path = os.path.join(filePath1, name + str(number) + ".png")
if not os.path.exists(full_path):
break
number += 1
imageio.imwrite(full_path, im_padded.astype(np.uint8))
os.chmod(full_path, mode=0o777)
thanks for answer

We (ImageIO) currently don't have a PDF reader/writer. There is a long-standing features request for it, which hasn't been implemented yet because there is currently nobody willing to contribute it.
Regarding the loading of images, we have an example for this in the docs:
import imageio as iio
from pathlib import Path
images = list()
for file in Path("path/to/folder").iterdir():
im = iio.imread(file)
images.append(im)
The caveat is that this particular example assumes that you want to read all images in a folder, and that there is only images in said folder. If either of these cases doesn't apply to you, you can easily customize the snippet.
Regarding the resizing of images, you have several options, and I recommend scikit-image's resize function.
To then get all the images into a PDF, you could have a look at matplotlib, which can generate a figure which you can save as a PDF file. The exact steps to do so will depend on the desired layout of your resulting pdf.

Working with .tiff images in python for deep learning

I am currently working on a project using imaging flow cytometry images in python. the images are .tiff an example file name is image27_Ch1.ome.tiff . I am having a little trouble with opening these images. I have tried to use matplotlib and PIL and the tifffile library but whatever I try does not seem to work. It always tells me FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff' . Although I double and triple-checked that the directory to the image is correct, even when I copy and paste the path to the image from the image properties itself it still gives me this error. I tried converting a few images into .png images and the code works and will load the images, this is not ideal because I have a data set of a few hundred thousand images. I was wondering if anyone out there in the StackOverflow universe knows how to deal with a problem like this or has dealt with .tiff images in python in the past. Below is some of the code that I have tried to open these images.
import matplotlib.pyplot as plt
path = 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff'
I = plt.imread(path)
from PIL import Image
path = 'C:/Users/zacha/Desktop/cell_images/27_Ch1.ome.tiff'
image = Image.open(path)
Thank you very much to whoever reads or answers this question.

Try rasterio and matplotlib
import rasterio
import matplotlib.pyplot as plt
src_path = "Your_sat_img.tif"
img = rasterio.open(src_path)
plt.figure(figsize=(22, 22))
plt.imshow(img.read([1,2,3]).transpose(1, 2, 0))

You can try this code to open any tiff file:
import rasterio
from rasterio.plot import show
tiff_img = rasterio.open('filename.tif')
show(tiff_img)

FileUpload widget in Jupyter notebook - How to access uploaded file

uploader = widgets.FileUpload()
uploader
Produces a box that you can click and upload a file (a jpg or png for example). How do I code to access this and use it in future code?
For example, if I want to print the uploaded image.
Thanks!!
code

This is a pretty general question, so I can only provide a general answer. This would be the full uploader code to print the image properties:
import ipywidgets as widgets
uploader = widgets.FileUpload()
uploader
from PIL import Image
for name, file_info in uploader.value.items():
img = Image.open(io.BytesIO(file_info['content']))
print(img)
From there you can pass the image to cv or other image processors as well.

Reading image using Pillow fails in Jupyter notebook

I'm trying to read a jpg file using Pillow (Version 3.2.0) in Jupyter notebook (Python 3.4), but it fails with the following error:
OSError: broken data stream when reading image file
I'm using the following code:
from PIL import Image
im = Image.open("/path/to/image.jpeg")
im.show()
It works fine both in the interactive Python shell and using Python 2.7 instead of 3.4.
I've followed these steps already: Using Pillow with Python 3
Anyone an idea what's going on?

Looks like you're not pointing to the directory where your photo is stored.
import os
defaultWd = os.getcwd()
defaultWd # Sets your curretn wd
os.chdir(defaultWd + '\\Desktop') # Points to your photo--e.g., on Desktop
os.getcwd() # Shows change in wd
from PIL import Image
im = Image.open("Mew.jpg")
im.show() # Will plot to your default image viewing software
And another way if you don't want to change current wd:
im = Image.open(os.getcwd() + "\\Desktop\\Mew.jpg")
im.show()
And if you want to plot inline:
from matplotlib.pyplot import imshow
%matplotlib inline
inlinePic = Image.open(os.getcwd() + "\\Desktop\\Mew.jpg")
imshow(inlinePic)
Note: You may also want to simply try typing 'jpg' instead of 'jpeg' as you did above, if your image is in your current working directory. Also, if PIC is not installed, you'll get this error NameError: name 'Image' is not defined.

The problem was related to another import: I was importing Tensorflow before PIL, which caused the problem. Same issue as this one: https://github.com/scikit-image/scikit-image/issues/2000. Changing the order of the imports solved it.