If you haven't already, please read project notes.
In this example, I will be showing you how to take a data file in CSV format (comma-separated values) and generate a chart with it. I will present one way to do it here, and a different way to do it in project2.
- Open a terminal window
- Navigate to the project directory:
cd ~/STBS/Python/Projects/project1
- Run the Project Setup Script:
source work_here.sh
- Jupyter lab allows you to have everything you need in one browser.
- When you first launch jupyter lab, it should look something like this:
- There is a file explorer on the left-hand side, and a launcher on the right.
- Launch a new terminal
- Double-click project1.py in the file explorer on the left to open it
- You can re-arrange the terminal window by dragging the terminal tab
- I like mine at the bottom.
- Having a split window like this makes it easier to edit the code you're working on, save changes, and test them. Just type
python project1.pyand hit enter to run the project.
- Change the color and line style of the graphs
- Add a title and axis labels
- Replace inputs/data.csv with your own data. You can create a table in Excel (or Google Sheets) and export it as a csv.
Pandas plot function (for dataframes) API entry