This is a Python application built with the Streamlit framework, designed to provide researchers and data scientists with a fast and intuitive color scheme selector for plotting.

This project is a Python/Streamlit port and a tribute to the excellent original online color tool by lcpmgh. The original tool provides great convenience for scientific plotting, and this project aims to offer a pure Python alternative that is easy to run and extend locally.

• Scheme Browsing: Includes a built-in database (colors.txt) with hundreds of color schemes.
• ID / Button Navigation: Quickly switch between color schemes using "Previous"/"Next" buttons or a slider.
• Filter by Color Count: Filter schemes based on the number of colors you need (e.g., 2-color, 3-color, ... N-color).
• Real-time Plot Preview: The selected color scheme is immediately applied to four common types of scientific charts (Bar Chart, Boxplot, Scatterplot, Line Chart) for preview.
• Alpha (Transparency) Control: Adjust the color transparency in real-time to preview plotting effects with an alpha channel.
• Custom Color Input: Supports inputting your own HEX color codes (separated by commas or spaces) to preview their plotting effect.
• Paginated Database View: At the bottom of the page, you can browse the entire color database through a paginated, clickable table. Clicking the "Select" button previews the scheme at the top.

Main Interface:

Color Database:

git clone [https://github.com/HWJia1006/Colors.git](https://github.com/HWJia1006/Colors.git)
cd Colors

# For macOS/Linux
python3 -m venv venv
source venv/bin/activate

# For Windows
python -m venv venv
.\venv\Scripts\activate

Create a file named requirements.txt in the project's root directory and copy the following content into it:

streamlit
pandas
numpy
matplotlib

pip install -r requirements.txt

streamlit run your_app_file_name.py

(Please replace your_app_file_name.py with the name of your Python file, e.g., colors.py)

All color schemes for this project are stored in the colors.txt file.

• Format: Each line represents one color scheme.

• Separator: The HEX code for each color is separated by a comma (,).

• Example:

  #4DBBD5,#00A087,#E64B35
  #3C5488,#F39B7F,#8491B4,#91D1C2
  ...
  

• Extending: You can add or remove color schemes from this file yourself. The application will automatically load them on restart.

This project is licensed under the MIT License.

• Thanks to lcpmgh for the design inspiration and color data from the original tool.
• Thanks to the Streamlit team for providing this powerful data app framework.