Showing 5 open source projects for "scatter plot"

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  • 1
    ScottPlot

    ScottPlot

    Interactive Plotting Library for .NET

    ScottPlot is a free and open-source plotting library for .NET that makes it easy to interactively display large datasets. Line plots, bar charts, pie graphs, scatter plots, and more can be created with just a few lines of code. The ScottPlot Cookbook demonstrates how to create line plots, bar charts, pie graphs, scatter plots, and more with just a few lines of code. The ScottPlot Demo is a click-to-run application that demonstrates mouse-interactive versions of every cookbook recipe....
    Downloads: 1 This Week
    Last Update:
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  • 2
    Chart2D
    A Java class library for visualizing quantitative data using two-dimensional category charts [pie, line, vertical bar, horizontal bar, scatter-plot (dot), combination, and overlay charts]. Charts are of type JComponent and BufferedImage.
    Downloads: 0 This Week
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  • 3
    Brand new cheatsheets and handouts

    Brand new cheatsheets and handouts

    Matplotlib 3.1 cheat sheet

    ...It is especially useful when you know roughly what you want (e.g. “I need a scatter + histogram marginal plot”) but don’t remember the exact Matplotlib call.
    Downloads: 0 This Week
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  • 4
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    ...While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts.
    Downloads: 0 This Week
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  • 5
    Glimpse Plotting Library

    Glimpse Plotting Library

    WPF Plotting Library

    Glimpse is a .NET 4.6 plotting library for WPF projects. It currently contains five classes: a scatter plot, a line graph, an histogram, a raster plot to display matrix data and a tree plot to visualize recursive XML data. Main attributes can be customized through the respective constructors, additional changes are available through public properties. To use the packaged classes just reference the library in your project, instantiate a new plot and add it to a display container of your choice.
    Downloads: 0 This Week
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