Read .CSV file in Jupyter notebook for Python from any directory Ubuntu 22.04/22.10

To read a CSV file in Jupyter Notebook, you can use the Pandas library which is a popular data manipulation tool. Here are the steps:

Import the Pandas library by executing the following code in a code cell:

import pandas as pd

Load the CSV file into a Pandas DataFrame by using the read_csv() method. The read_csv() method takes the path of the CSV file as an argument. For example, if your CSV file is located in the same directory as your Jupyter Notebook, you can load the file like this:

Display the contents of the DataFrame by calling the head() method. This will display the first 5 rows of the DataFrame. If you want to display more or fewer rows, you can pass the desired number as an argument to the head() method. For example, to display the first 10 rows, you can use: