Playing With Python

This post is just me playing around with learning Python.

I have a good handle on R scrip but I wanted to learn python to round out my skills.

I am following an example from Maven Analytics course Python Foundations for Data Analysis

import pandas

def tax_calculator(subtotal, sales_tax=0):  # adding = gives default argument if none given
    """ takes in a subtotal and tax rate and returns total sale
    
    Args:
        subtotal (float): cost of transaction
        sales_tax (float): tax rate at store location
    Returns:
        (float): total amount owed
    
    """
    total = subtotal + (subtotal * sales_tax)
    return total

totalsale = tax_calculator(100, .06)

print(totalsale)

106.0

R Script Version

Rtax_calculator <- function(subtotal, sales_tax){
  total = subtotal + (subtotal*sales_tax)
  
}

totalsaleR <- Rtax_calculator(100,.06)

print(totalsaleR)

[1] 106

Python text cleaner

website_ratings = ["5 stars", "4 3star"]

def rating_cleaner(*ratings, index = 0):
    """ takes in a string and returns a clean integer
    
    Args:
        ratings (string): string to be cleaned
        index (int, optional): location in the string 
    Returns:
        (int): clean integer
    
    """
    for rating in ratings:
        numeric_rating = int(rating[index])
        print(numeric_rating)

rating_cleaner(*website_ratings)

5
4

Outputting to separate variables

website_ratings = ["5 stars", "4 star", "3stars"]

def rating_cleaner2(rating):
    numeric_rating = int(rating[0])
    # global numeric_rating = int(rating[0])  # global function allows variable to be used outside of the function
    return rating, numeric_rating

rating, numeric_rating = rating_cleaner2(website_ratings[0])

rating

'5 stars'

numeric_rating

5

Notes about writing personal code libraries that can be imported and used later.

# %% writefile rating_cleaner2.py allows the creation of a module aka personal library that can later be imported and used.

# def rating_cleaner2(rating):
#     numeric_rating = int(rating[0])
#     return rating, numeric_rating

# import ratingcleaner2 as r

# r.ratingcleaner2()