Learn Pandas Read CSV

Reading CSV files with Pandas is quite straightforward. Here's how you can do it:

           
          import pandas as pd

Read CSV File: Use the pd.read_csv() function to read the CSV file into a DataFrame.

           
          # Syntax:
          # df= pd.read_csv('file_path')

          # Example:
         df = pd.read_csv('data.csv')

You can also specify various parameters within the read_csv() function to handle different situations:

sep: Specify the delimiter used in the CSV file. Default is ','.
header: Specify which row to use as column names. Default is 0 (the first row).
index_col: Specify which column to use as the index. Default is None.
dtype: Specify data types for columns. Default is None.
skiprows: Skip specific rows while reading the file.
nrows: Read a specific number of rows from the beginning.
skipfooter: Skip specific number of lines at the end of the file.

For example:


          # Reading a CSV file with a different delimiter and skipping the first row
          df = pd.read_csv('data.csv', sep=';', header=1)

Make sure to replace 'data.csv' with the path to your CSV file.