Read CSV file in python

Brief about

CSV stands for comma-separated values. It is used to store tables in file. CSV file are same as text file, first line of this file usually conatin name of columns and each row conatiner respected values here.

There are lot of ways to load csv file in python. Here we are going to discuss main two. Lets start with Python's in built csv module.

CSV Module

(Secound Methoed is Better)

Pyhton provide builtin module called csv so we dont need to install anything. In this methoed first we have to open file as any other files in python. Than we pass this file to csv reader for parsing. which giver iterator(something we can loop over) which has ordered Dict as its entry read more about csv

import csv

#open
with open('BTC-USD.csv','r') as csv_file:
    csv_iter = csv.DictReader(csv_file)

    for line in csv_iter:
        print(line)

    #optional you can convert iterator
    #into list if you dont like it

    lst = list(csv_iter)

Terminal output of the csv module script, printing each row as a dictionary of date and price fields

Pandas

This is the best way to work with csv file. For this you need pandas module. If you dont have it you can easily install it with pip. Type folloing cammond in terminal/cmd

python3 -m pip install pandas

now

import pandas as pd

df = pd.read_csv('BTC-USD.csv')

print(df)

Terminal output of the pandas script: a DataFrame of 366 rows and 7 columns of BTC-USD prices

Note Pandas read csv methoed return pandas dataframe object. Dont worry it is just like fancy array

With pandas writing to csv file is easy to.

import pandas as pd

df = pd.read_csv('BTC-USD.csv')

df.to_csv('new_file.csv')