{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "
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Title
Tiles Element
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Dependencies
Plotly
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Backends
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Bokeh
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Plotly
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" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import holoviews as hv\n", "from holoviews import opts\n", "hv.extension('plotly')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ``Tiles`` element represents a so called web mapping tile source usually used for geographic plots, which fetches tiles appropriate to the current zoom level. To declare a ``Tiles`` element simply provide a URL to the tile server. A standard tile server URL has a number of templated variables that describe the location and zoom level. In the most common case of a WMTS tile source, the URL looks like this:\n", "\n", " 'https://c.tile.openstreetmap.org/{Z}/{X}/{Y}.png'\n", "\n", "Here ``{X}``, ``{Y}`` and ``{Z}`` describe the location and zoom level of each tile.\n", "A simple example of a WMTS tile source is the OSM maps:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hv.Tiles('https://c.tile.openstreetmap.org/{Z}/{X}/{Y}.png', name=\"OSM\").opts(width=600, height=550)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One thing to note about tile sources is that they are always defined in the [pseudo-Mercator projection](https://epsg.io/3857), which means that if you want to overlay any data on top of a tile source the values have to be expressed as eastings and northings. If you have data in another projection, e.g. latitudes and longitudes, it may make sense to use [GeoViews](https://geoviews.org/) for it to handle the projections for you.\n", "\n", ">\n", "> **Note**: \n", "> \n", "> Holoviews provides functions to project longitude, latitude into Web Mercator coordinates. \n", "> See [`hv.util.transform.lon_lat_to_easting_northing(longitude, latitude)`](https://holoviews.org/reference_manual/holoviews.element.html?highlight=lon_lat_to_easting_northing#holoviews.element.Tiles.lon_lat_to_easting_northing)\n", ">\n", "\n", "Both HoloViews and GeoViews provides a number of tile sources by default, provided by CartoDB, OpenStreetMap, and Esri. Stamen tile sources are also available but require a Stadia account when not running locally; see [stadiamaps.com](https://stadiamaps.com/).\n", "\n", "Tile sources can be imported from the ``holoviews.element.tiles`` module and are provided as callable functions which return a ``Tiles`` element:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hv.element.tiles.EsriImagery().opts(width=600, height=550)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The full set of predefined tile sources can be accessed on the ``holoviews.element.tiles.tile_sources`` and ``holoviews.element.tiles.stamen_sources`` dictionaries." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hv.Layout([ts().relabel(name) for name, ts in hv.element.tiles.tile_sources.items()]).opts(\n", " opts.Tiles(xaxis=None, yaxis=None, width=225, height=225),\n", " opts.Layout(hspacing=10, vspacing=40)\n", ").cols(4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For full documentation and the available style and plot options, use ``hv.help(hv.Tiles).``" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vector Mapbox Tiles\n", "\n", "In addition to displaying raster tiles loaded from a tile source URL, the Plotly backend can also display vector tiles provided by Mapbox. A vector tile style is specified using the `mapboxstyle` option, and requires a Mapbox\n", "access token to be provided as the `accesstoken` option.\n", "\n", "```python\n", "hv.Tiles('').opts(\n", " mapboxstyle=\"dark\",\n", " accesstoken=\"pk...\",\n", " width=600,\n", " height=600\n", ")\n", "```" ] } ], "metadata": { "language_info": { "name": "python", "pygments_lexer": "ipython3" } }, "nbformat": 4, "nbformat_minor": 2 }