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How to embed the output of a Subprocess embedded in curses window using Python

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Does any one have a good solution for how to embed the output of a subprocess (ex. subprocess.Popen("htop", stdout=subprocess.PIPE)) into an ncurses window? So for example, the terminal window is broken up into quadrants and the top right has htop running inside. I'd imagine this would involve some kind of terminal emulation as the dimensions of the window would need to be queried by htop.

posted Aug 14, 2013 by Satish Mishra

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+2 votes

I am using the Linux system with python, i am running the following script

#!/usr/bin/python

import threading

import time

import sys
import subprocess
import datetime
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import time
import logging

proc1=subprocess.Popen("/root/Desktop/abc.py","64","abc",shell=True,stdout=subprocess.PIPE,
stderr=subprocess.PIPE)

In this script i am calling the other script named abc.py which is located on the desktop with 64 and abc as its arguments I am getting the following error

File "/usr/lib64/python2.6/subprocess.py", line 589, in __init__
 raise TypeError("bufsize must be an integer")
TypeError: bufsize must be an integer

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+1 vote

I want to find the maximal number of elements contained in a nested dictionary, e.g.

data = {
 'violations':
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 'col1': {'err': [elem1, elem2, elem3]},
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 }

so to find the maximal number of elements in the lists for key 'err' in key 'col1' and 'col2'. Also key 'violations' may contain many keys (e.g. 'col1' , 'col2', 'col3' etc), so what's the best way to do this (using a loop)?

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+1 vote

Let's say I want to compare two csv files: file A and file B. They are both similarly built - the first column has product IDs (one product per row) and the columns provide some stats about the products such as sales in # and $.

I want to compare these files - see which product IDs appear in the first column of file A and not in B, and which in B and not A.
Finally, it would be very great if the result could be written into two new CSV files - one product ID per row in the first column. (no other data in the other columns needed)

This is the script I tried:

import csv

#open CSV's and read first column with product IDs into variables pointing to lists
A = [line.split(',')[0] for line in open('Afile.csv')]
B = [line.split(',')[0] for line in open('Bfile.csv')]

#create variables pointing to lists with unique product IDs in A and B respectively 
inAnotB = list(set(A)-set(B))
inBnotA = list(set(B)-set(A))

print inAnotB
print inBnotA

c = csv.writer(open("inAnotB.csv", "wb"))
c.writerow([inAnotB])

d = csv.writer(open("inBnotA.csv", "wb"))
d.writerow([inBnotA])

print "done!" 

But it doesn't produce the required results.
It prints IDs in this format:

247158132n

and nothing to the csv files.


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