Check if an item is in a nested list
in a simple list following check is trivial:
python
Filtering a Pyspark DataFrame with SQL-like IN clause
I want to filter a Pyspark DataFrame with a SQL-like IN clause, as in
Tkinter grid_forget is clearing the frame
from tkinter import * from PIL import ImageTk,Image root=Tk() root.title("Image Viewer") def buttonforward(image_number): global myLabel myLabel.grid_forget() myLabel = Label(image=imagelist[image_number-1]) myLabel.grid(row=0, column=0, columnspan=3) return my_img1 = ImageTk.PhotoImage(Image.open('mountain1.jpg')) my_img2 = ImageTk.PhotoImage(Image.open('mountain2.jpg')) my_img3 = ImageTk.PhotoImage(Image.open('mountain3.jpg')) my_img4 = ImageTk.PhotoImage(Image.open('mountain4.jpg')) my_img5 = ImageTk.PhotoImage(Image.open('mountain5.jpg')) myLabel = Label(image=my_img1, ).grid(row=0, column=0, columnspan=3) imagelist = [my_img1, my_img2, my_img3, my_img4, my_img5] button_back = Button(root, text='<<').grid(row=1,column=0) … Read more
Joining pairs of elements of a list
I know that a list can be joined to make one long string as in: x = ['a', 'b', 'c', 'd'] print ''.join(x) Obviously this would output: 'abcd' However, what I am trying to do is simply join the first and second strings in the list, then join the third and fourth and so on. … Read more
Python socket receive – incoming packets always have a different size
I’m using the SocketServer module for a TCP server.
I’m experiencing some issue here with the recv() function, because the incoming packets always have a different size, so if I specify recv(1024) (I tried with a bigger value, and smaller), it gets stuck after 2 or 3 requests because the packet length will be smaller (I think), and then the server gets stuck until a timeout.
Finding Signed Angle Between Vectors
How would you find the signed angle theta from vector a to b?
CSVWriter not saving data to file the moment I write it
Python newbie getting a bit frustrated with the csv module. At this rate, it would have been easier if I wrote the file parser myself, but I want to do things the Pythonic way ….
Django – makemigrations – No changes detected
I was trying to create migrations within an existing app using the makemigrations command but it outputs “No changes detected”.
How to share numpy random state of a parent process with child processes?
I set numpy random seed at the beginning of my program. During the program execution I run a function multiple times using multiprocessing.Process. The function uses numpy random functions to draw random numbers. The problem is that Process gets a copy of the current environment. Therefore, each process is running independently and they all start with the same random seed as the parent environment.
Is there a simple process-based parallel map for python?
I’m looking for a simple process-based parallel map for python, that is, a function