Python 6 | Read CSV file using pandas with input argument

Reading CSV File as an Input Parameter.

 

When working in the field of Data Analysis,you will frequently encounter CSV files. CSV files are a type of text file that stores tabular data for improved readability, easier understanding, and faster processing.

 

This article will provide an introduction to CSV files and guide you through the various methods of reading and writing them in Python. Python is our focus because it includes a built-in csv library that simplifies the process of reading data from CSV files and writing data to them. The step-by-step Python tutorials in this article are designed to be straightforward and suitable for beginners.

 

To read a CSV file as an input parameter in Python, follow the steps below:

 

1. Import the necessary libraries: Import the required libraries, such as csv or pandas, to read and manipulate the CSV file.

2. Process the CSV data: Depending on your needs, you can process the data in the CSV file. For example, you can iterate over the rows and access values from specific columns.

3. You have now successfully read the CSV file as an input parameter and processed the data. From here, you can use the data for further operations or analysis based on your requirements.

 

Below is the simple python code.

 

 import pandas as pd

 

import sys

import csv

 

def csv_reader_pands(file):

    try:

        df=pd.read_csv(file)

        print(df)

        

    

    except FileNotFoundError:

        print("File not found")

    except Exception as err:

        print("An Exception ",err)

    

if __name__=='__main__':

    if len(sys.argv)!=2:

        print("Usage: python program_name.py file")

    else:

        csv_input_file=sys.argv[1]

        csv_reader_pands(csv_input_file)