Skip to main content
Join the official Python Developers Survey 2018 and win valuable prizes: Start the survey!

Python module containing various functions for personal use

Project description

rkpython

Description

This is a general use Python module. For now, it only contains some functions to make reading and writing to text files easier, as well as a function that returns the current largest objects in memory.

Installation

Use

pip install rkpython

Then import it in Python with

import rkpython as rk

Functions

to_txt()

rk.to_txt(l=None, path='text_file.txt', overwrite=False, verbose = False)	

--------------  

Saves a list to a .txt file.  

l : list, default is None  
	List object to be saved.  

path : str, default is 'text_file.txt'  
	File path (with file name) you want to save to.    

overwrite : bool, default is False    
	Overwrites the file if it exists.  

verbose : boolean, default is False  
	Prints out a message if the operation was succesful  

--------------  

Examples :  

rk.to_txt(var_list, './documents/vars.txt', verbose = True)  
>> File successfully written to ./documents/vars.txt 

read_txt()

rk.read_txt(path='text_file.txt', verbose = False)    

--------------  

Reads from a text file, saving the result as a list, where each line is one item.  


path : str, default = 'text_file.txt'  
	File path (with file name) you want to read from. Can be any type of file (.txt, .csv...)    

verbose : boolean, default is False  
	Prints out a message if the operation was succesful  

--------------  

Examples :  

var_list = rk.read_txt('./documents/vars.txt', verbose = True)  
>> File successfully read from ./documents/vars.txt  

to_size()

def to_size(size_in_bytes):

Converts a number of bytes into a more readable unit, up until Terabytes, and rounds the number down to 1 decimal. Returns a string.

--------------

size_in_bytes : int
    Size in bytes that needs to be converted

--------------

Examples :

get_size(124480000)
>> '124.5 Mb'

rk.get_mem()

def get_mem(nb_objects = 10):

Prints out a list of the largest objects stored in memory, as well as the total memory usage of global variables. Returns a string.

--------------

nb_objects : int, default =  10
    Maximum number of items to be printed out.

--------------

Examples :

get_mem(5)
>> Total usage : 25.3 Gb
>>
>>  5 largest objects :
>>  _477  :  1.7 Gb
>>  _529  :  1.7 Gb
>>  _437  :  1.4 Gb
>>  _412  :  1.3 Gb
>>  _415  :  1.3 Gb

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
rkpython-0.0.3-py3-none-any.whl (4.0 kB) Copy SHA256 hash SHA256 Wheel py3 Jul 18, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page