How can I take a str/.txt input and make it into a list for pyton-CodePudding

I have a text file where the information that is formated as

Title, Author, User Rating, Reviews, Price, Publication Year, Genre(Fiction or nonfiction)

sample data form txt

test_data = """ 
    Girls,Hopscotch Girls,4.8,9737,7,2019,Non Fiction
    I - Alex Cross,James Patterson,4.6,1320,7,2009,Fiction
    If Animals Kissed Good Night,Ann Whitford Paul,4.8,16643,4,2019,Fiction
 """

They are all separated by a comma (,). I wanted to take this input and make it into a list that looks something like

list = {'Name': 'Girls','Author': 'Hopscotch Girls','User Rating':'4.8', 'Reviews':'9737', 'Price':'7', 'Publication Year':'2019', 'Genre':'Non Fiction'}

I'm trying to make it a list so its easier to look through because later on in my program since I want to be able to get user input like year and list all the books within the year with. It will also make formating an output easier.

CodePudding user response：

If you are reading the data from a .txt file

data = {'Name': [], 'Author': [], 'User Rating': [], 'Reviews': [], 'Price': [], 'Publication Year': [], 'Genre': []}

with open("filename/goes/here.txt", "r") as f:
    for line in f.readlines():
        lineData = line.split(r",")

        for key, ld in zip(data.keys(), lineData):
            data[key].append(ld)

From your description I believe this is a solution. Some advice, never name your variables with the same name as any built-in functions. (e.g. list, int, str)

CodePudding user response：

Given your requirement

I'm trying to make it a list so its easier to look through because later on in my program since I want to be able to get user input like year and list all the books within the year with. It will also make formating an output easier.

I think that a list of dictionaries would do the job. Using list comprehension (I am using the test_data you defined in the question):

tags = ["Name", "Author", "User Rating", "Reviews", "Price", "Publication Year", "Genre"]
result = [dict(zip(tags, x.split(","))) for x in test_data.split("\n") if len(x.strip()) > 0]