https://github.com/bobbyiliev/materialize-jupyter-in-vs-code
How to show graph in VS Code with Jupyter and Materialize
https://github.com/bobbyiliev/materialize-jupyter-in-vs-code
Last synced: 3 months ago
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How to show graph in VS Code with Jupyter and Materialize
- Host: GitHub
- URL: https://github.com/bobbyiliev/materialize-jupyter-in-vs-code
- Owner: bobbyiliev
- Created: 2024-08-21T15:42:14.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-27T17:01:56.000Z (about 1 year ago)
- Last Synced: 2025-07-04T04:40:04.593Z (3 months ago)
- Language: Python
- Size: 7.81 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# How to Show Graphs in VS Code with Matplotlib, Jupyter, Materialize, and Plotly
This is a simple example of how to show graphs in VS Code using Matplotlib, Jupyter, Materialize, and Plotly.
## Requirements
- [Visual Studio Code](https://code.visualstudio.com/)
- [Python](https://www.python.org/)
- [Materialize](https://materialize.com/)
## Install the Required Extensions in VS Code
- Install the [Jupyter extension in VS Code](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter).
- Install the [Python extension in VS Code](https://marketplace.visualstudio.com/items?itemName=ms-python.python).
## Create a Virtual Environment
- Create a new virtual environment:
```
python -m venv .venv
```
- Activate the virtual environment:
- On Windows:
```
.venv\Scripts\Activate.ps1
```
- On macOS and Linux:
```
source .venv/bin/activate
```
- Install the necessary packages:
```
pip install psycopg2-binary matplotlib plotly pandas python-dotenv nbformat
```
## Create a `.env` File
Copy the `.env.example` file to a new file named `.env` and fill in the necessary information.
## Create Some Demo Data
Run the SQL statements in the `demo.sql` file to create the necessary table, view, and insert some data.
## Demo 1: Matplotlib Graph
This demo will show you how to create and display a graph using Matplotlib in VS Code.
### Run the Demo
1. Open the `demo_matplotlib.py` file and run the code.
2. Right-click on the code and select "Run in Interactive Window" -> "Run current file in Interactive Window".
3. VS Code will open a new tab with the graph:
4. To display your own graph, change the SQL query in the `demo_matplotlib.py` file to query your own data and the Matplotlib code to display the graph you want to show.
## Demo 2: Plotly with Pandas
This demo will show you how to create and display a graph using Plotly and Pandas in VS Code. Plotly provides interactive and visually appealing charts, which can be a great alternative to Matplotlib.
### Run the Demo
1. Open the `demo_plotly.py` file in VS Code.
2. Right-click on the code and select "Run in Interactive Window" -> "Run current file in Interactive Window".
3. VS Code will open a new tab or your web browser with the interactive graph.
4. To display your own graph, change the SQL query in the `demo_plotly.py` file to query your own data and the Plotly code to display the graph you want to show.