Course Content
Stock Prices Prediction Project
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.
Task
- Select only the data coming from the Apple stock (
"AAPL"); - Select only the
"date"and"close"columns; - Plot the Series.
Task
- Select only the data coming from the Apple stock (
"AAPL"); - Select only the
"date"and"close"columns; - Plot the Series.
Everything was clear?
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.
Task
- Select only the data coming from the Apple stock (
"AAPL"); - Select only the
"date"and"close"columns; - Plot the Series.
