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1. matplotlib.org › stable › galleryExamples — Matplotlib 3.9.2 documentation

   matplotlib.org › stable › gallery

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   This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide. Tagging! You can also browse the example gallery by tags.

   • Lines, bars and markers

     Plot 2D data on 3D plot; Demo of 3D bar charts; Create 2D...

   • Images, contours and fields

     Contour plot of irregularly spaced data. Layer Images. Layer...

   • Subplots, axes and figures

     Scatter plot with histograms; Scatter Masked; Marker...

   • Statistics

     The histogram (hist) function with multiple data sets....

   • Pie and polar charts

     Labeling a pie and a donut. Labeling a pie and a donut. Bar...

   • Text, labels and annotations

     Controlling style of text and labels using a dictionary....

   • Color

     Color#. For a description of the colormaps available in...

   • Shapes and collections

     Explore the Matplotlib documentation for shapes and...

2. www.freecodecamp.org › news › how-to-embed-interactive-python-visualizations-onHow to Embed Interactive Python Visualizations on Your Website...

   www.freecodecamp.org › news › how-to-embed-interactive-python-visualizations-on

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   7 maj 2020 · The mpld3 library's main functionality is to take an existing matplotlib visualization and transform it into some HTML code that you can embed on your website. The tool we use for this is mpld3 's fig_to_html file, which accepts a matplotlib figure object as its sole argument and returns HTML.

3. stackoverflow.com › questions › 49015957How to get python graph output into html webpage directly

   stackoverflow.com › questions › 49015957

   The best way to export matplotlib charts to the web browser is to Use mpld3 library. Here is the example.

4. plotly.com › blog › dash-matplotlibCreating an Interactive Web App with Matplotlib, Python, and Dash

   plotly.com › blog › dash-matplotlib

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   22 cze 2023 · This step-by-step tutorial will guide you in building interactive web apps using Matplotlib, Python, and Dash. We'll begin by setting up the environment and installing the necessary libraries. Then, we'll delve into the core concepts of Dash app development.

5. matplotlib.org › stable › tutorialsPyplot tutorial — Matplotlib 3.9.2 documentation

   matplotlib.org › stable › tutorials

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   Introduction to pyplot#. matplotlib.pyplotis a collection of functions that make matplotlibwork like MATLAB. Each pyplotfunction makes some change to a figure:e.g., creates a figure, creates a plotting area in a figure, plots some linesin a plotting area, decorates the plot with labels, etc.

6. www.analyticsvidhya.com › blog › 2021Guide to Create Interactive Plots with Plotly Python - Analytics...

   www.analyticsvidhya.com › blog › 2021

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   5 dni temu · Plotly, an open-source Python module, supports data visualization with various graphs like line charts, scatter plots, bar charts, histograms, area plots, and more. Plotly’s Python graphing library makes it easy to create interactive graphs.

7. plotly.com › python › getting-startedGetting started with plotly in Python

   plotly.com › python › getting-started

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   Built on top of the Plotly JavaScript library , plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.