Develop Reference

Can't resize an image properly when inserting to powerpoint using pptx python - Placeholder

I have created a PowerPoint master slide and I have a template where I'd like to replace the logo through code based on the client.
The thing is that whenever I insert the image through code, the image gets resized but does not respect the correct ratio, so it gets distorted in some cases. I have found a good answer from #scanny in this link here, which helped me a bit but not fully since I can now upload the images, but they still get distorted.
Here is my code
import collections.abc
from datetime import datetime
from logging import PlaceHolder
from pptx import Presentation
from pptx.util import *
from PIL import Image
import win32com.client as win32
import os
TEXT_PLACEHOLDER_TYPE = 2
OBJECT_PLACEHOLDER_TYPE = 7
PICTURE_PLACEHOLDER_TYPE = 18
# ------------- FUNCTIONS -------------
def _add_image(slide, placeholder_id, image_url):
placeholder = slide.placeholders[placeholder_id]
# Calculate the image size of the image
im = Image.open(image_url)
width, height = im.size
# Make sure the placeholder doesn't zoom in
placeholder.height = height
placeholder.width = width
# Insert the picture
placeholder = placeholder.insert_picture(image_url)
available_width = placeholder.width
available_height = placeholder.height
image_width, image_height = placeholder.image.size
placeholder_aspect_ratio = float(available_width) / float(available_height)
image_aspect_ratio = float(image_width) / float(image_height)
if placeholder_aspect_ratio > image_aspect_ratio:
available_width = int(image_aspect_ratio * available_height)
# ---otherwise shrink the height
else:
available_height = int(available_width/image_aspect_ratio)**
# ----------- PROGRAM START -----------
print("\n----PROGRAM STARTS HERE ----\n")
result_ppt = Presentation("data/TEMPLATE.pptx")
slide = result_ppt.slides[0]
for _ph in slide.placeholders:
print(f"NAME: {_ph.name}\n"
f"PLACEHOLDER TYPE: {_ph.placeholder_format.type}\n"
f"PLACEHODER ID: {_ph.placeholder_format.idx}\n"
f"ID: {_ph.shape_id}\n"
f"TYPE: {_ph.shape_type}\n")
# Handles IMAGE - Replacing company logo
if _ph.placeholder_format.type == PICTURE_PLACEHOLDER_TYPE:
# Makes sure we are only changing logos tagged with client_logo id
if _ph.name == "client_logo":
_add_image(slide=slide, placeholder_id=_ph.placeholder_format.idx, image_url="data/client_logo.png")
result_ppt.save("data/new_template.pptx")
And there it is! I can't make my images be not distorted no matter what I do.
One last thing is that inside the function that handles that I changed the
placeholder.width = int(image_aspect_ratio * available_height)
available_width = int(image_aspect_ratio * available_height)
Because for some reason using the placeholder.width was placing the images squished to the corner so I couldn't see it.

Running and displaying classes imported from other files in Python Tkinter

I am creating a piece of software for my organisation which I recently started, and I am using the Tkinter module in Python to create my software. The software is similar to how an operating system works, but it isn't an operating system, and it runs like a normal program on your desktop. In the software, there are numerous applications, like a word-processor (more on that later), a spreadsheet editor, etc.
The first application I am creating is a word processor called Wordee, and I've based it on a style that mirrors Microsoft Notepad. I want the user to click a button and the word-processor opens code from a class in another file in the same directory. This class is the code for the word processor.
I have written that code, but it always opens the word processor first and then when you close the word processor, the window that you should access the word processor from.
Here is the code which I am currently developing - everything that I have written was where I got up to when I noticed the problem:
from tkinter import *
import time
import os
import wordProcessorExample as wPE
window = Tk()
window.title("Brainwave One")
def get_datetime():
timeVariable = time.strftime("%I:%M %p, %A %d %B %Y")
date_time.config(text=timeVariable)
date_time.after(200,get_datetime)
def wordee():
print(wPE.Wordee)
date_time = Label(window,font=("Calibri",15))
date_time.grid(row=0,column=0)
title = Label(window,text="Brainwave One",font=("Calibri",40))
title.place(relx=0.5,rely=0.05,anchor="center")
title = Label(window,text="From The Brainwave Incorporation",font=("Calibri",13))
title.place(relx=0.5,rely=0.083,anchor="center")
wordee = Button(window,text="Wordee",font=("Calibri",23),command=wordee)
wordee.place(relx=0.25,rely=0.1875,anchor="center")
get_datetime()
window.mainloop()
Here is the other file that I am accessing the class for the word processor from:
import tkinter
import os
from tkinter import *
from tkinter.messagebox import *
from tkinter.filedialog import *
class Wordee:
__root = Tk()
# default window width and height
__thisWidth = 300
__thisHeight = 300
__thisTextArea = Text(__root)
__thisMenuBar = Menu(__root)
__thisFileMenu = Menu(__thisMenuBar, tearoff=0)
__thisEditMenu = Menu(__thisMenuBar, tearoff=0)
__thisHelpMenu = Menu(__thisMenuBar, tearoff=0)
# To add scrollbar
__thisScrollBar = Scrollbar(__thisTextArea)
__file = None
def __init__(self,**kwargs):
# Set icon
try:
self.__root.wm_iconbitmap("Wordee.ico")
except:
pass
# Set window size (the default is 300x300)
try:
self.__thisWidth = kwargs['width']
except KeyError:
pass
try:
self.__thisHeight = kwargs['height']
except KeyError:
pass
# Set the window text
self.__root.title("Untitled - Wordee")
# Center the window
screenWidth = self.__root.winfo_screenwidth()
screenHeight = self.__root.winfo_screenheight()
# For left-align
left = (screenWidth / 2) - (self.__thisWidth / 2)
# For right-align
top = (screenHeight / 2) - (self.__thisHeight /2)
# For top and bottom
self.__root.geometry('%dx%d+%d+%d' % (self.__thisWidth,
self.__thisHeight,
left, top))
# To make the textarea auto resizable
self.__root.grid_rowconfigure(0, weight=1)
self.__root.grid_columnconfigure(0, weight=1)
# Add controls (widget)
self.__thisTextArea.grid(sticky = N + E + S + W)
# To open new file
self.__thisFileMenu.add_command(label="New",
command=self.__newFile)
# To open a already existing file
self.__thisFileMenu.add_command(label="Open",
command=self.__openFile)
# To save current file
self.__thisFileMenu.add_command(label="Save",
command=self.__saveFile)
# To create a line in the dialog
self.__thisFileMenu.add_separator()
self.__thisFileMenu.add_command(label="Exit",
command=self.__quitApplication)
self.__thisMenuBar.add_cascade(label="File",
menu=self.__thisFileMenu)
# To give a feature of cut
self.__thisEditMenu.add_command(label="Cut",
command=self.__cut)
# to give a feature of copy
self.__thisEditMenu.add_command(label="Copy",
command=self.__copy)
# To give a feature of paste
self.__thisEditMenu.add_command(label="Paste",
command=self.__paste)
# To give a feature of editing
self.__thisMenuBar.add_cascade(label="Edit",
menu=self.__thisEditMenu)
# To create a feature of description of the notepad
self.__thisHelpMenu.add_command(label="About Wordee",
command=self.__showAbout)
self.__thisMenuBar.add_cascade(label="Help",
menu=self.__thisHelpMenu)
self.__root.config(menu=self.__thisMenuBar)
self.__thisScrollBar.pack(side=RIGHT,fill=Y)
# Scrollbar will adjust automatically according to the content
self.__thisScrollBar.config(command=self.__thisTextArea.yview)
self.__thisTextArea.config(yscrollcommand=self.__thisScrollBar.set)
def __quitApplication(self):
self.__root.destroy()
# exit()
def __showAbout(self):
showinfo("Notepad","Mrinal Verma")
def __openFile(self):
self.__file = askopenfilename(defaultextension=".wde",
filetypes=[("All Files","*.*"),
("Text Documents","*.wde")])
if self.__file == "":
# no file to open
self.__file = None
else:
# Try to open the file
# set the window title
self.__root.title(os.path.basename(self.__file) + " - Wordee")
self.__thisTextArea.delete(1.0,END)
file = open(self.__file,"r")
self.__thisTextArea.insert(1.0,file.read())
file.close()
def __newFile(self):
self.__root.title("Untitled - Wordee")
self.__file = None
self.__thisTextArea.delete(1.0,END)
def __saveFile(self):
if self.__file == None:
# Save as new file
self.__file = asksaveasfilename(initialfile='Untitled.wde',
defaultextension=".wde",
filetypes=[("All Files","*.*"),
("Text Documents","*.wde")])
if self.__file == "":
self.__file = None
else:
# Try to save the file
file = open(self.__file,"w")
file.write(self.__thisTextArea.get(1.0,END))
file.close()
# Change the window title
self.__root.title(os.path.basename(self.__file) + " - Wordee")
else:
file = open(self.__file,"w")
file.write(self.__thisTextArea.get(1.0,END))
file.close()
def __cut(self):
self.__thisTextArea.event_generate("<<Cut>>")
def __copy(self):
self.__thisTextArea.event_generate("<<Copy>>")
def __paste(self):
self.__thisTextArea.event_generate("<<Paste>>")
def run(self):
# Run main application
self.__root.mainloop()
# Run main application
Wordee = Wordee(width=600,height=400)
Wordee.run()

python, cv2.imshow(), raspberryPi and a black screen

Currently trying write code with a GUI which will allow for toggling on/off image processing. Ideally the code will allow for turning on/off window view, real time image processing (pretty basic), and controlling an external board.
The problem I'm having revolves around the cv2.imshow() function. A few months back I made a push to increase processing rates by switching from picamera to cv2 where I can perform more complex computations like background subtraction without having to call python all the time. using the bcm2835-v4l2 package, I was able to pull images directly from the picamera using cv2.
fast forward 6 months and while trying to update the code, I find that the function cv2.imshow() does not display correctly anymore. I thought it might be a problem with bcm2835-v4l2 but tests using matplotlib show that the connection is fine. it appears to have everything to do with cv2.imshow() or so I guess.
I am actually creating a separate thread using the threading module for image capture and I am wondering if this could be the culprit. I don't think so though as typing in the commands
import cv2
camera = cv2.VideoCapture(0)
grabbed,frame = camera.read()
cv2.imshow(frame)
produces the same black screen
Down below is my code I am using (on the RPi3) and some images show the error and what is expected.
as for reference here are the details about my system
Raspberry pi3
raspi stretch
python 3.5.1
opencv 3.4.1
Code
import cv2
from threading import Thread
import time
import numpy as np
from tkinter import Button, Label, mainloop, Tk, RIGHT
class GPIOControllersystem:
def __init__(self,OutPinOne=22, OutPinTwo=27,Objsize=30,src=0):
self.Objectsize = Objsize
# Build GUI controller
self.TK = Tk() # Place TK GUI class into self
# Variables
self.STSP = 0
self.ShutdownVar = 0
self.Abut = []
self.Bbut = []
self.Cbut = []
self.Dbut = []
# setup pi camera for aquisition
self.resolution = (640,480)
self.framerate = 60
# Video capture parameters
(w,h) = self.resolution
self.bytesPerFrame = w * h
self.Camera = cv2.VideoCapture(src)
self.fgbg = cv2.createBackgroundSubtractorMOG2()
def Testpins(self):
while True:
grabbed,frame = self.Camera.read()
frame = self.fgbg.apply(frame)
if self.ShutdownVar ==1:
break
if self.STSP == 1:
pic1, pic2 = map(np.copy,(frame,frame))
pic1[pic1 > 126] = 255
pic2[pic2 <250] = 0
frame = pic1
elif self.STSP ==1:
time.sleep(1)
cv2.imshow("Window",frame)
cv2.destroyAllWindows()
def MProcessing(self):
Thread(target=self.Testpins,args=()).start()
return self
def BuildGUI(self):
self.Abut = Button(self.TK,text = "Start/Stop System",command = self.CallbackSTSP)
self.Bbut = Button(self.TK,text = "Change Pump Speed",command = self.CallbackShutdown)
self.Cbut = Button(self.TK,text = "Shutdown System",command = self.callbackPumpSpeed)
self.Dbut = Button(self.TK,text = "Start System",command = self.MProcessing)
self.Abut.pack(padx=5,pady=10,side=RIGHT)
self.Bbut.pack(padx=5,pady=10,side=RIGHT)
self.Cbut.pack(padx=5,pady=10,side=RIGHT)
self.Dbut.pack(padx=5,pady=10,side=RIGHT)
Label(self.TK, text="Controller").pack(padx=5, pady=10, side=RIGHT)
mainloop()
def CallbackSTSP(self):
if self.STSP == 1:
self.STSP = 0
print("stop")
elif self.STSP == 0:
self.STSP = 1
print("start")
def CallbackShutdown(self):
self.ShutdownVar = 1
def callbackPumpSpeed(self):
pass
if __name__ == "__main__":
GPIOControllersystem().BuildGUI()
Using matplotlib.pyplot.imshow(), I can see that the connection between the raspberry pi camera and opencv is working through the bcm2835-v4l2 connection.
However when using opencv.imshow() the window result in a blackbox, nothing is displayed.
Update: so while testing I found out that when I perform the following task
import cv2
import matplotlib
camera = cv2.VideoCapture(0)
grab,frame = camera.read()
matplotlib.pyplot.imshow(frame)
grab,frame = camera.read()
matplotlib.pyplot.imshow(frame)
update was solved and not related to the main problem. This was a buffering issue. Appears to have no correlation to cv2.imshow()

on a raspberry you should work with
from picamera import PiCamera
checkout pyimagesearch for that

Uploading files using Browse Button in Jupyter and Using/Saving them

I came across this snippet for uploading files in Jupyter however I don't know how to save this file on the machine that executes the code or how to show the first 5 lines of the uploaded file. Basically I am looking for proper commands for accessing the file after it has been uploaded:
import io
from IPython.display import display
import fileupload
def _upload():
_upload_widget = fileupload.FileUploadWidget()
def _cb(change):
decoded = io.StringIO(change['owner'].data.decode('utf-8'))
filename = change['owner'].filename
print('Uploaded `{}` ({:.2f} kB)'.format(
filename, len(decoded.read()) / 2 **10))
_upload_widget.observe(_cb, names='data')
display(_upload_widget)
_upload()

_cb is called when the upload finishes. As described in the comment above, you can write to a file there, or store it in a variable. For example:
from IPython.display import display
import fileupload
uploader = fileupload.FileUploadWidget()
def _handle_upload(change):
w = change['owner']
with open(w.filename, 'wb') as f:
f.write(w.data)
print('Uploaded `{}` ({:.2f} kB)'.format(
w.filename, len(w.data) / 2**10))
uploader.observe(_handle_upload, names='data')
display(uploader)
After the upload has finished, you can access the filename as:
uploader.filename

I am working on ML with Jupyter notebook, and I was looking for a solution to select the local files containing the datasets by browsing amongst the local file system. Although, the question here refers more to uploading than selecting a file. I am putting here a snippet that I found here because when I was looking for a solution for my particular case, the result of the search took me several times to here.
import os
import ipywidgets as widgets
class FileBrowser(object):
def __init__(self):
self.path = os.getcwd()
self._update_files()
def _update_files(self):
self.files = list()
self.dirs = list()
if(os.path.isdir(self.path)):
for f in os.listdir(self.path):
ff = os.path.join(self.path, f)
if os.path.isdir(ff):
self.dirs.append(f)
else:
self.files.append(f)
def widget(self):
box = widgets.VBox()
self._update(box)
return box
def _update(self, box):
def on_click(b):
if b.description == '..':
self.path = os.path.split(self.path)[0]
else:
self.path = os.path.join(self.path, b.description)
self._update_files()
self._update(box)
buttons = []
if self.files:
button = widgets.Button(description='..', background_color='#d0d0ff')
button.on_click(on_click)
buttons.append(button)
for f in self.dirs:
button = widgets.Button(description=f, background_color='#d0d0ff')
button.on_click(on_click)
buttons.append(button)
for f in self.files:
button = widgets.Button(description=f)
button.on_click(on_click)
buttons.append(button)
box.children = tuple([widgets.HTML("<h2>%s</h2>" % (self.path,))] + buttons)
And to use it:
f = FileBrowser()
f.widget()
# <interact with widget, select a path>
# in a separate cell:
f.path # returns the selected path

4 years later this remains an interesting question, though Fileupload has slightly changed and belongs to ipywidgets....
Here is some demo that shows how to get the file/files after the button click and reset the button to get more files....
from ipywidgets import FileUpload
def on_upload_change(change):
if not change.new:
return
up = change.owner
for filename,data in up.value.items():
print(f'writing [{filename}] to ./')
with open(filename, 'wb') as f:
f.write(data['content'])
up.value.clear()
up._counter = 0
upload_btn = FileUpload()
upload_btn.observe(on_upload_change, names='_counter')
upload_btn
And here is a "debug" version that shows what is going on / why things work...
from ipywidgets import FileUpload
def on_upload_change(change):
if change.new==0:
print ('cleared')
return
up = change.owner
print (type(up.value))
for filename,data in up.value.items():
print('==========================================================================================')
print(filename)
for k,v in data['metadata'].items():
print(f' -{k:13}:[{v}]')
print(f' -content len :[{len(data["content"])}]')
print('==========================================================================================')
up.value.clear()
up._counter = 0
upload_btn = FileUpload()
upload_btn.observe(on_upload_change, names='_counter')
upload_btn

I stumbled into this thread ~2 years late. For those still confused about how to work with the fileupload widget I have built off of the excellent answer posted by minrk with some other usage examples below.
from IPython.display import display
import fileupload
uploader = fileupload.FileUploadWidget()
def _handle_upload(change):
w = change['owner']
with open(w.filename, 'wb') as f:
f.write(w.data)
print('Uploaded `{}` ({:.2f} kB)'.format(
w.filename, len(w.data) / 2**10))
uploader.observe(_handle_upload, names='data')
display(uploader)
From the widget documentation:
class FileUploadWidget(ipywidgets.DOMWidget):
'''File Upload Widget.
This widget provides file upload using `FileReader`.
'''
_view_name = traitlets.Unicode('FileUploadView').tag(sync=True)
_view_module = traitlets.Unicode('fileupload').tag(sync=True)
label = traitlets.Unicode(help='Label on button.').tag(sync=True)
filename = traitlets.Unicode(help='Filename of `data`.').tag(sync=True)
data_base64 = traitlets.Unicode(help='File content, base64 encoded.'
).tag(sync=True)
data = traitlets.Bytes(help='File content.')
def __init__(self, label="Browse", *args, **kwargs):
super(FileUploadWidget, self).__init__(*args, **kwargs)
self._dom_classes += ('widget_item', 'btn-group')
self.label = label
def _data_base64_changed(self, *args):
self.data = base64.b64decode(self.data_base64.split(',', 1)[1])
Get the data in bytestring format:
uploader.data
Get the data in a regular utf-8 string:
datastr= str(uploader.data,'utf-8')
Make a new pandas dataframe from the utf-8 string (e.g. from a .csv input):
import pandas as pd
from io import StringIO
datatbl = StringIO(datastr)
newdf = pd.read_table(datatbl,sep=',',index_col=None)

You have to enable the file upload option in your code, to enable the browse button to appear in your notebook.
Run the following
!jupyter nbextension enable fileupload --user --py

cannot convert PIL thumbnails to PYQt4 icons

i have a problem when converting some Qimages to thumbnails using PIL.
to be used in a list widget , check the image below
where the image should look like :
please note that i use horizontal flow and the text of item is an empty text
one more thing : this only happens when i put more than 1 image
for i in listOfImages:
picture = Image.open(i)
picture.thumbnail((50,50), Image.ANTIALIAS )
qimage = QtGui.QImage(ImageQt.ImageQt(picture))
icon = QtGui.QIcon(QtGui.QPixmap.fromImage(qimage))
item = QtGui.QListWidgetItem(str(path))
item.setIcon(icon)
self.listWidget.addItem(item)
any idea what is going on ? and why images are being pixlated ?.. any better solutions
EDIT : using
pix = QtGui.QPixmap(path)
pix = pix.scaled(50,50,QtCore.Qt.KeepAspectRatio)
icon = QtGui.QIcon(pix)
will be very problematic (needed 10 seconds to run) while the code above needed 1 second.
thanks

from io import BytesIO
qimage = QtGui.QImage()
fp = BytesIO()
picture.save(fp, "BMP")
qimage.loadFromData(fp.getvalue(), "BMP")
icon ...
I had tried ImageQt, but the performance is not good.
I reference http://doloopwhile.hatenablog.com/entry/20100305/1267782841
Because I use python 3.3, cStringIO is replaced by BytesIO

I've not used PIL with PyQt. Have you tried using a QImageReader?
item = QListWidgetItem(image_path)
imageReader = QImageReader()
imageReader.setFileName(image_path)
size = imageReader.size()
size.scale(50, 50, Qt.KeepAspectRatio)
imageReader.setScaledSize(size)
image = imageReader.read()
pix = QPixmap.fromImage(image)
icon = QIcon(pix)
item.setIcon(icon)
self.listWidget.addItem(item)