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A lightweight Python library for rendering Vega-Lite JSON charts in Jupyter/Colab.
ChartSpan is a Python library designed for rendering Vega-Lite JSON specifications directly within Google Colab. It simplifies the visualization of interactive charts and supports customization for chart dimensions, text color, and background color.
To install ChartSpan, use pip:
pip install chartspan
Here is an example of how to use ChartSpan to render a Vega-Lite JSON chart:
from chartspan import ChartSpan
import json
# Load Vega-Lite JSON specification
with open("example.json", "r") as f:
spec = json.load(f)
# Render chart inline
chart = ChartSpan(width=800, height=600)
chart.render_inline(spec)
You can specify custom dimensions for the chart:
chart = ChartSpan(width=1000, height=800)
chart.render_inline(spec)
You can also customize the text color for labels, titles, legends, and axes:
chart = ChartSpan(width=800, height=600, text_color="blue")
chart.render_inline(spec)
Alternatively, you can override the default text color for a specific chart:
chart = ChartSpan(width=800, height=600, text_color="black")
chart.render_inline(spec, text_color="red")
You can also customize the background color of the chart:
chart = ChartSpan(width=800, height=600, text_color="black")
chart.render_inline(spec, background_color="lightgray")
This modifies the chart's width, height, text color, and background color, ensuring it fits your specific needs and visual style.
Save the following Vega-Lite JSON to a file named example.json
:
{
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"mark": "point",
"data": {
"values": [
{"x": 1, "y": 2},
{"x": 2, "y": 3}
]
},
"encoding": {
"x": {"field": "x", "type": "quantitative"},
"y": {"field": "y", "type": "quantitative"}
}
}
Run the following Python code:
from chartspan import ChartSpan
import json
with open("example.json", "r") as f:
spec = json.load(f)
chart = ChartSpan(width=800, height=600, text_color="#dcdfe1")
chart.render_inline(spec, background_color="#353535")
This will display an interactive scatter plot in your Google Colab environment, with labels and titles rendered in green and a light blue background.
IPython
Install dependencies using:
pip install IPython
ChartSpan is licensed under the MIT License.
Contributions are welcome! If you'd like to contribute, please fork the repository and submit a pull request.
ChartSpan uses the Vega-Lite and Vega-Embed libraries for rendering charts. Special thanks to the developers of these powerful visualization tools.
FAQs
A lightweight Python library for rendering Vega-Lite JSON charts in Jupyter/Colab.
We found that chartspan demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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