{
"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
}