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xyzpy 1.3.5.dev15+g6c9b4e836 documentation
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Guides

  • Installation
  • Specifying Inputs & Outputs
  • Computing Results
  • Plotting
  • Other Visualizations
  • Utilities
  • Examples
    • Basic Output Example
    • Structured Output with Julia Set Example
    • ‘Farming’ with Harvester Example
    • Persistent/Distributed Generation with Crop Example
    • Using dask.distributed as Parallel Pool Example
    • Visualizing Linear Algebra Decompositions

Development

  • Changelog
  • GitHub Repository
  • API Reference
    • xyzpy
      • xyzpy._version
      • xyzpy.gen
        • xyzpy.gen.case_runner
        • xyzpy.gen.combo_runner
        • xyzpy.gen.cropping
        • xyzpy.gen.farming
        • xyzpy.gen.prepare
        • xyzpy.gen.ray_executor
      • xyzpy.manage
      • xyzpy.plot
        • xyzpy.plot.color
        • xyzpy.plot.core
        • xyzpy.plot.infiniplot
        • xyzpy.plot.marker
        • xyzpy.plot.plotter_bokeh
        • xyzpy.plot.plotter_matplotlib
        • xyzpy.plot.xyz_cmaps
      • xyzpy.utils
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xyzpy.plot.core¶

Helper functions for preparing data to be plotted.

Functions

calc_row_col_datasets(ds[, row, col])

check_excess_dims(ds, var, valid_dims[, mode])

intercept_call_arg(fn)

prettify(x)

Classes

AbstractHeatMap()

AbstractHistogram()

AbstractLinePlot()

AbstractScatter()

Plotter(ds, x, y[, z, c, y_err, x_err])

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