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  1. pypi.org › project › pyChartpyChart.JS - PyPI

    25 Οκτ 2019 · An easy to use, class-based approach to implementing Chart.js into Python projects. Initially designed as a Django app, it is now self-contained and outputs chart data in JSON, meaning it can easily be used in: Django. Flask. AJAX/Rest API requests. Other Python projects.

  2. 10 Ιουν 2020 · Tutorial on Flask and Chart.JS. Walk through the web and chart design with code snippets and examples.

  3. 24 Μαΐ 2023 · What is Chart.js? Chart.js is a JavaScript library for creating beautiful and interactive charts and graphs. It’s easy to use and highly customizable, making it an excellent choice for...

  4. 12 Ιαν 2022 · Overview of the project workflow. Begin by creating a virtual Python environment. pip install virtualenv. Navigate to the project root folder and create the virtual environment: virtualenv flask.

  5. 19 Δεκ 2021 · I want to render a chart using Chart.js. Data is generated in Python, and I know how to pass it to html: render_template("/index.html", chart_data=chart_data). However, after passing chart_data to html, I don't know how to pass it to the javascript, where the chart is generated.

  6. This repo contains several examples for working with the Plotly streaming API. All of the examples are running in real-time on a remote server. View the IPython notebooks in nbviewer here: nbviewer.ipython.org/github/plotly/Streaming-Demos

  7. 15 Δεκ 2022 · Creating plots with Chart.js. Adding plots to a dataflow to visualize streaming data. IPython Display. If you aren’t familiar with IPython, it stands for Interactive Python.

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