Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/lfmramos/tool-stock-visualization
This Python script creates a combined plot of stock price and revenue data for a given stock.
https://github.com/lfmramos/tool-stock-visualization
beautifulsoup pandas plotly python yfinance-api
Last synced: 1 day ago
JSON representation
This Python script creates a combined plot of stock price and revenue data for a given stock.
- Host: GitHub
- URL: https://github.com/lfmramos/tool-stock-visualization
- Owner: lfmramos
- Created: 2024-11-13T16:26:32.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T16:27:59.000Z (2 months ago)
- Last Synced: 2024-11-13T17:29:44.454Z (2 months ago)
- Topics: beautifulsoup, pandas, plotly, python, yfinance-api
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Stock Visualization Tool
This Python script creates a combined plot of stock price and revenue data for a given stock.
## Features
- Fetches stock price and revenue data from online sources
- Generates a dual-axis plot showing historical stock price and revenue
- Allows customization of the date range for the data
- Provides a clean and visually appealing data visualization
## Dependencies
The script requires the following Python libraries:
- `yfinance`: for fetching stock data
- `pandas`: for data manipulation
- `requests`: for making HTTP requests
- `BeautifulSoup`: for parsing HTML
- `plotly`: for creating the data visualization
You can install the required packages using pip:
```
pip install yfinance pandas requests beautifulsoup4 plotly
```
## Usage
1. Import the `make_graph` function from the script:
```python
from stock_visualization import make_graph
```
2. Fetch the stock and revenue data:
```python
stock_data = yf.download("AAPL", start="2016-01-01", end="2021-06-14")
revenue_data = pd.read_csv("apple_revenue.csv")
```
3. Call the `make_graph` function with the data:
```python
make_graph(stock_data, revenue_data, "Apple Inc.")
```
This will generate a combined plot of the stock price and revenue data for Apple Inc.
## Example Output
The script will display a figure with two subplots:
1. Historical Share Price
2. Historical Revenue
The figure will include the following features:
- X-axis: Date
- Y-axis (left): Stock Price ($US)
- Y-axis (right): Revenue ($US Millions)
- Interactive zoom and pan functionality
## Contributing
If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).