CSV files are most popular format of dataset. Most of the companies in various industries prefer CSV for storing datasets. It can be a dataset of millions of rows or limited set of rows. To start working on datafiles in Python, First data needs importing in dataframe format. Importing a dataset in python enables easier interaction and analysis. Hence we will discuss the key steps on how to import CSV file in Python using Pandas.
Emma has a CSV file containing Customer spend data for last 1 year. She has to do some analysis on the same. Before starting on analysis Emma has to import the same in Python. She wants to have good understanding around how to import csv file in Python using Jupyter notebook.
Below are the steps that will help Emma.
- Step 1: Firstly import Pandas Module into Python.
- Step 2: Then use read_csv function from Pandas Module to import CSV dataset.
- Step 3: Finally to ensure that the data is read correctly, lets see some of the rows.
Thus, Emma is able to create single Dataframe from CSV file as per her requirement in Python. How to import CSV file in Python using Pandas is an easy question to solve for Emma.
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