Let's Plot the Evolution of a Single Stock

Line graphs are important in Python because they are a useful tool for visualizing and analyzing data. They are particularly useful for showing trends over time or comparing multiple sets of data. Line graphs can be easily created in Python using libraries such as matplotlib, seaborn, and plotly.

These libraries provide a wide range of customization options, allowing you to create high-quality and professional-looking graphs with minimal effort. Additionally, line graphs can be easily exported as image files or embedded in web pages, making them a great way to share data with others.

Tâche

Swipe to start coding

Select only the data coming from the Apple stock ("AAPL");
Select only the "date" and "close" columns;
Plot the Series.

Solution

Mark tasks as Completed

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 1. Chapitre 4

AVAILABLE TO ULTIMATE ONLY