{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "The User Guide explains key concepts in detail.\n", "\n", "New users may prefer to start with the introduction in our [Getting Started](../getting_started/index.ipynb) guide.\n", "\n", "To see examples of what can be done with Datashader, see [Topics](https://datashader.org/topics/index.html).\n", "\n", "Contents:\n", "\n", "- [1. Plotting Pitfalls](1_Plotting_Pitfalls.ipynb) \n", " Explains how Datashader avoids pitfalls encountered when plotting big datasets\n", " using techniques designed for small ones.\n", "\n", "- [2. Points](https://examples.pyviz.org/nyc_taxi/nyc_taxi.html) \n", " (Under construction; meanwhile points to the [nyc_taxi](https://examples.pyviz.org/nyc_taxi/nyc_taxi.html) notebook.)\n", "\n", "- [3. Timeseries](3_Timeseries.ipynb) \n", " Plotting timeseries and other curves.\n", "\n", "- [4. Trajectories](4_Trajectories.ipynb) \n", " Plotting trajectories (e.g. connected GPS points) in a plane.\n", "\n", "- [5. Grids](5_Grids.ipynb) \n", " Plotting 2D-gridded data (rasters and quadmeshes).\n", "\n", "- [6. Trimesh](6_Trimesh.ipynb)\n", " Plotting irregular triangular grids (trimeshes).\n", "\n", "- [7. Networks](7_Networks.ipynb) \n", " Plotting network graphs.\n", "\n", "- [8. Geography](8_Geography.ipynb) \n", " Using Datashader for geographic and other spatial applications\n", "\n", "- [9. Extending](9_Extending.ipynb) \n", " Extending datashader with new components and functionality.\n", "\n", "- [10. Performance](10_Performance.ipynb) \n", " Hints for getting good performance out of Datashader in your\n", " applications." ] } ], "metadata": { "language_info": { "name": "python", "pygments_lexer": "ipython3" } }, "nbformat": 4, "nbformat_minor": 2 }