{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "A6iFUUQLNDlE" }, "source": [ "\n", " \n", " \n", " \n", "
\n", " Run in Google Colab\n", " \n", " View on Github\n", " \n", " View raw on Github\n", "
" ] }, { "cell_type": "markdown", "metadata": { "id": "-DARAON8qoJR" }, "source": [ "# Module 12: Maps\n", "\n", "Let's draw some maps. 🗺🧐" ] }, { "cell_type": "markdown", "metadata": { "id": "d9E9W5lXqoJa" }, "source": [ "## A dotmap with Altair\n", "\n", "Let's start with altair. \n", "\n", "When your dataset is large, it is nice to enable something called \"json data transformer\" in altair. What it does is, instead of generating and holding the whole dataset in the memory, to transform the dataset and save into a temporary file. This makes the whole plotting process much more efficient. For more information, check out: https://altair-viz.github.io/user_guide/data_transformers.html" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 1171, "status": "ok", "timestamp": 1690232847801, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "2ycXU2IbqoJc", "outputId": "3f87e857-d4d1-43b4-cb40-a4099c2c2714" }, "outputs": [ { "data": { "text/plain": [ "DataTransformerRegistry.enable('json')" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import altair as alt\n", "\n", "# saving data into a file rather than embedding into the chart\n", "alt.data_transformers.enable('json')" ] }, { "cell_type": "markdown", "metadata": { "id": "Vz-TNR-IqoJg" }, "source": [ "We need a dataset with geographical coordinates. This `zipcodes` dataset contains the location and zipcode of each zip code area." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "executionInfo": { "elapsed": 2397, "status": "ok", "timestamp": 1690232854409, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "qYOeI0eLqoJh", "outputId": "5547c589-e6fd-44f1-95d7-9cc955e209c2" }, "outputs": [ { "data": { "text/html": [ "
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zip_codelatitudelongitudecitystatecounty
00050140.922326-72.637078HoltsvilleNYSuffolk
10054440.922326-72.637078HoltsvilleNYSuffolk
20060118.165273-66.722583AdjuntasPRAdjuntas
30060218.393103-67.180953AguadaPRAguada
40060318.455913-67.145780AguadillaPRAguadilla
\n", "
" ], "text/plain": [ " zip_code latitude longitude city state county\n", "0 00501 40.922326 -72.637078 Holtsville NY Suffolk\n", "1 00544 40.922326 -72.637078 Holtsville NY Suffolk\n", "2 00601 18.165273 -66.722583 Adjuntas PR Adjuntas\n", "3 00602 18.393103 -67.180953 Aguada PR Aguada\n", "4 00603 18.455913 -67.145780 Aguadilla PR Aguadilla" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from vega_datasets import data\n", "\n", "zipcodes_url = data.zipcodes.url\n", "zipcodes = data.zipcodes()\n", "zipcodes.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "executionInfo": { "elapsed": 1517, "status": "ok", "timestamp": 1690232857459, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "EyzYgquoqoJj", "outputId": "388048a3-1be1-40dc-9f37-8d17cd398c12" }, "outputs": [ { "data": { "text/html": [ "
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zip_codelatitudelongitudecitystatecounty
00050140.922326-72.637078HoltsvilleNYSuffolk
10054440.922326-72.637078HoltsvilleNYSuffolk
20060118.165273-66.722583AdjuntasPRAdjuntas
30060218.393103-67.180953AguadaPRAguada
40060318.455913-67.145780AguadillaPRAguadilla
\n", "
" ], "text/plain": [ " zip_code latitude longitude city state county\n", "0 00501 40.922326 -72.637078 Holtsville NY Suffolk\n", "1 00544 40.922326 -72.637078 Holtsville NY Suffolk\n", "2 00601 18.165273 -66.722583 Adjuntas PR Adjuntas\n", "3 00602 18.393103 -67.180953 Aguada PR Aguada\n", "4 00603 18.455913 -67.145780 Aguadilla PR Aguadilla" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "zipcodes = data.zipcodes(dtype={'zip_code': 'category'})\n", "zipcodes.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1690232857814, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "VbSCHJVbqoJk", "outputId": "7f2a736f-11ad-46d9-b016-d76c000d01be" }, "outputs": [ { "data": { "text/plain": [ "CategoricalDtype(categories=['00501', '00544', '00601', '00602', '00603', '00604',\n", " '00605', '00606', '00610', '00611',\n", " ...\n", " '99919', '99921', '99922', '99923', '99925', '99926',\n", " '99927', '99928', '99929', '99950'],\n", ", ordered=False, categories_dtype=object)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "zipcodes.zip_code.dtype" ] }, { "cell_type": "markdown", "metadata": { "id": "JS8nSE1YqoJn" }, "source": [ "Btw, you'll have fewer issues if you pass URL instead of a dataframe to `alt.Chart`." ] }, { "cell_type": "markdown", "metadata": { "id": "TPj8GsfMqoJo" }, "source": [ "### Let's draw it\n", "\n", "Now we have the dataset loaded and start drawing some plots. Let's say you don't know anything about map projections. What would you try with geographical data? Probably the simplest way is considering (longitude, latitude) as a Cartesian coordinate and directly plot them." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 368 }, "executionInfo": { "elapsed": 306, "status": "ok", "timestamp": 1690232859294, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "ldFAB0p_qoJq", "outputId": "30fed316-e3f1-4002-90e1-26974811ccc3" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "alt.Chart(zipcodes_url).mark_circle().encode(\n", " x='longitude:Q',\n", " y='latitude:Q',\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "V4UTA0L3qoJr" }, "source": [ "Actually this itself is a map projection called [Equirectangular projection](https://en.wikipedia.org/wiki/Equirectangular_projection). This projection (or almost a *non-projection*) is super straight-forward and doesn't require any processing of the data. So, often it is used to just quickly explore geographical data. As you dig deeper, you still want to think about which map projection fits your need best. Don't just use equirectangular projection without any thoughts!\n", "\n", "Anyway, let's make it look slighly better by reducing the size of the circles and adjusting the aspect ratio. **Q: Can you adjust the width and height?**" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 268 }, "executionInfo": { "elapsed": 307, "status": "ok", "timestamp": 1690232868969, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "CEMhFuGIqoJt", "outputId": "4eebb7f5-d423-47fb-a661-df0a300ec9f9" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "kd9NuhLlqoJu" }, "source": [ "But, a much better way to do this is explicitly specifying that they are lat, lng coordinates by using `longitude=` and `latitude=`, rather than `x=` and `y=`. If you do that, altair automatically adjust the aspect ratio. **Q: Can you try it?**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 331 }, "executionInfo": { "elapsed": 308, "status": "ok", "timestamp": 1690232870219, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "qqXF2OQrqoJv", "outputId": "bd2f7d3d-fff2-4162-a037-848c464e40e6" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "QLhCkER6qoJx" }, "source": [ "Because the [American empire is far-reaching and complicated](https://www.youtube.com/watch?v=ASSOQDQvVLU), the information density of this map is very low (although interesting). Moreover, the US looks twisted because a default projection that is not focused on the US is used. \n", "\n", "A common projection for visualizing US data is [AlbersUSA](https://bl.ocks.org/mbostock/5545680), which uses [Albers (equal-area) projection](https://en.wikipedia.org/wiki/Albers_projection). This is a standard projection used in United States Geological Survey and the United States Census Bureau. Albers USA contains a composition of US main land, Alaska, and Hawaii.\n", "\n", "To use it, we call `project` method and specify which variables are `longitude` and `latitude`.\n", "\n", "**Q: use the `project` method to draw the map in the AlbersUsa projection.**" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 433 }, "executionInfo": { "elapsed": 10, "status": "ok", "timestamp": 1690232871853, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "XqIx6087qoJx", "outputId": "371fdda2-849f-4f52-a365-c99c7a7fedbb" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "HgFp8NocqoJy" }, "source": [ "Now we're talking. 😎\n", "\n", "Let's visualize the large-scale zipcode patterns. We can use the fact that the zipcodes are hierarchically organized. That is, the first digit captures the largest area divisions and the other digits are about smaller geographical divisions.\n", "\n", "Altair provides some data transformation functionalities. One of them is extracting a substring from a variable." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 433 }, "executionInfo": { "elapsed": 7, "status": "ok", "timestamp": 1690232874556, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "wjHx0a39qoJz", "outputId": "3c2c2fa8-1c46-4f1a-d70c-013766e59f2b" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import altair as alt\n", "\n", "alt.data_transformers.enable('json')\n", "\n", "alt.Chart(zipcodes_url).mark_circle(size=2).transform_calculate(\n", " first_digit=alt.expr.substring(alt.datum.zip_code, 0, 1)\n", ").encode(\n", " longitude='longitude:Q',\n", " latitude='latitude:Q',\n", " color='first_digit:N',\n", ").project(\n", " type='albersUsa'\n", ").properties(\n", " width=700,\n", " height=400,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "QeHehou1qoJ0" }, "source": [ "For each row (`datum`), you obtain the `zip_code` variable and get the substring (imagine Python list slicing), and then you call the result `first_digit`. Now, you can use this `first_digit` variable to color the circles. Also note that we specify `first_digit` as a *nominal* variable, not quantitative, to obtain a categorical colormap. But we can also play with it too.\n", "\n", "**Q: Why don't you extract the first two digits, name it as `two_digits`, and declare that as a quantitative variable? Any interesting patterns? What does it tell us about the history of US?**" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 431, "resources": { "http://localhost:8080/altair-data-420f3d354b7ce0e0779d651ffd5241c4.json": { "data": "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", "headers": [ [ "content-length", "1449" ], [ "content-type", "text/html; charset=utf-8" ] ], "ok": false, "status": 404, "status_text": "" } } }, "executionInfo": { "elapsed": 368, "status": "ok", "timestamp": 1690232878782, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "X-FGT_ghqoJ1", "outputId": "46e6e02c-5cfc-448f-efe7-a5b887670cb9" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "ju0PurTgqoJ2" }, "source": [ "**Q: also try it with declaring the first two digits as a categorical variable**" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 424 }, "executionInfo": { "elapsed": 343, "status": "ok", "timestamp": 1690232880830, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "IJD4cLCHrjhp", "outputId": "9fdc4eed-4016-44fe-c947-fcf3a35590ff" }, "outputs": [ { "data": { "text/html": [ "
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zip_codelatitudelongitudecitystatecounty
00050140.922326-72.637078HoltsvilleNYSuffolk
10054440.922326-72.637078HoltsvilleNYSuffolk
20060118.165273-66.722583AdjuntasPRAdjuntas
30060218.393103-67.180953AguadaPRAguada
40060318.455913-67.145780AguadillaPRAguadilla
.....................
420449992655.094325-131.566827MetlakatlaAKPrince Wales Ketchikan
420459992755.517921-132.003244Point BakerAKPrince Wales Ketchikan
420469992855.395359-131.675370Ward CoveAKKetchikan Gateway
420479992956.449893-132.364407WrangellAKWrangell Petersburg
420489995055.542007-131.432682KetchikanAKKetchikan Gateway
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42049 rows × 6 columns

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" ], "text/plain": [ " zip_code latitude longitude city state \\\n", "0 00501 40.922326 -72.637078 Holtsville NY \n", "1 00544 40.922326 -72.637078 Holtsville NY \n", "2 00601 18.165273 -66.722583 Adjuntas PR \n", "3 00602 18.393103 -67.180953 Aguada PR \n", "4 00603 18.455913 -67.145780 Aguadilla PR \n", "... ... ... ... ... ... \n", "42044 99926 55.094325 -131.566827 Metlakatla AK \n", "42045 99927 55.517921 -132.003244 Point Baker AK \n", "42046 99928 55.395359 -131.675370 Ward Cove AK \n", "42047 99929 56.449893 -132.364407 Wrangell AK \n", "42048 99950 55.542007 -131.432682 Ketchikan AK \n", "\n", " county \n", "0 Suffolk \n", "1 Suffolk \n", "2 Adjuntas \n", "3 Aguada \n", "4 Aguadilla \n", "... ... \n", "42044 Prince Wales Ketchikan \n", "42045 Prince Wales Ketchikan \n", "42046 Ketchikan Gateway \n", "42047 Wrangell Petersburg \n", "42048 Ketchikan Gateway \n", "\n", "[42049 rows x 6 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "zipcodes" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 431, "resources": { "http://localhost:8080/altair-data-420f3d354b7ce0e0779d651ffd5241c4.json": { "data": "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", "headers": [ [ "content-length", "1449" ], [ "content-type", "text/html; charset=utf-8" ] ], "ok": false, "status": 404, "status_text": "" } } }, "executionInfo": { "elapsed": 677, "status": "ok", "timestamp": 1690232881911, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "1tiGYQJNqoJ2", "outputId": "c45b34f1-de72-40f0-e802-2d04991a89bf" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Implement\n", "\n", "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "SU4a0WzJqoJ3" }, "source": [ "Btw, you can always click \"view source\" or \"open in Vega Editor\" to look at the json object that **defines** this visualization. You can embed this json object on your webpage and easily put up an interactive visualization.\n", "\n", "**Q: Can you put a tooltip that displays the zipcode when you mouse-over?**" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 433 }, "executionInfo": { "elapsed": 9, "status": "ok", "timestamp": 1690232882918, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "lOv0DjHrqoJ4", "outputId": "4876bab4-c471-4b25-e21f-b066b5b590c5" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "Ilc45qeDqoJ5" }, "source": [ "## Choropleth\n", "\n", "Let's try some choropleth now. Vega datasets have US county / state boundary data (`us_10m`) and world country boundary data (`world-110m`). You can take a look at the boundaries on GitHub (they renders topoJSON files):\n", "\n", "- https://github.com/vega/vega-datasets/blob/main/data/us-10m.json\n", "- https://github.com/vega/vega-datasets/blob/main/data/world-110m.json\n", "\n", "If you click \"Raw\" then you can take a look at the actual file, which is hard to read.\n", "\n", "Essentially, each file is a large dictionary with the following keys." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 370, "status": "ok", "timestamp": 1690232886065, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "4omuucvZqoJ5", "outputId": "54d45d9b-7eb7-44bf-8a6b-fbc28c840771" }, "outputs": [ { "data": { "text/plain": [ "dict_keys(['type', 'transform', 'objects', 'arcs'])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap = data.us_10m()\n", "usmap.keys()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "executionInfo": { "elapsed": 317, "status": "ok", "timestamp": 1690232886368, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "Ns1AOlGLqoJ6", "outputId": "e142821d-b9f7-4b0a-8c82-ddffb9d1e399" }, "outputs": [ { "data": { "text/plain": [ "'Topology'" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap['type']" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 8, "status": "ok", "timestamp": 1690232887374, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "iiLUWi-eqoJ6", "outputId": "655d2324-e2d2-470a-f99b-83f13d291f68" }, "outputs": [ { "data": { "text/plain": [ "{'scale': [0.003589294092944858, 0.0005371535195261037],\n", " 'translate': [-179.1473400003406, 17.67439566600018]}" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap['transform']" ] }, { "cell_type": "markdown", "metadata": { "id": "uU0dewNaqoJ7" }, "source": [ "This `transformation` is used to *quantize* the data and store the coordinates in integer (easier to store than float type numbers).\n", "\n", "https://github.com/topojson/topojson-specification#212-transforms" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 4, "status": "ok", "timestamp": 1690232887710, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "JkbKMqAfqoJ7", "outputId": "b93217f4-29f9-4291-b669-6b3f65e33500" }, "outputs": [ { "data": { "text/plain": [ "dict_keys(['counties', 'states', 'land'])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap['objects'].keys()" ] }, { "cell_type": "markdown", "metadata": { "id": "xpDlwdPuqoJ8" }, "source": [ "This data contains not only county-level boundaries (objects) but also states and land boundaries." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 394, "status": "ok", "timestamp": 1690232937202, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "yUGjDhY5qoJ_", "outputId": "eaeb9c68-c1ed-4e9e-e1a3-92229c93f864" }, "outputs": [ { "data": { "text/plain": [ "('MultiPolygon', 'GeometryCollection', 'GeometryCollection')" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap['objects']['land']['type'], usmap['objects']['states']['type'], usmap['objects']['counties']['type']" ] }, { "cell_type": "markdown", "metadata": { "id": "JYlcwe0iqoJ_" }, "source": [ "`land` is a multipolygon (one object) and `states` and `counties` contains many geometrics (multipolygons) because there are many states (counties). We can look at a state as a set of arcs that define it. It's `id` captures the identity of the state and is the key to link to other datasets." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1690232937472, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "osMJi24KqoKA", "outputId": "13195f5e-cfee-4291-d6aa-81fcad02ec26" }, "outputs": [ { "data": { "text/plain": [ "{'type': 'MultiPolygon',\n", " 'arcs': [[[10337]],\n", " [[10342]],\n", " [[10341]],\n", " [[10343]],\n", " [[10834, 10340]],\n", " [[10344]],\n", " [[10345]],\n", " [[10338]]],\n", " 'id': 15}" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "state1 = usmap['objects']['states']['geometries'][1]\n", "state1" ] }, { "cell_type": "markdown", "metadata": { "id": "qktmc0T8qoKA" }, "source": [ "The `arcs` referred here is defined in `usmap['arcs']`." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1690232938354, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "8S4lgQtTqoKA", "outputId": "c6c42b0e-bc3d-4f7c-c724-3d362b13cfb5" }, "outputs": [ { "data": { "text/plain": [ "[[[15739, 57220], [0, 0]],\n", " [[15739, 57220], [29, 62], [47, -273]],\n", " [[15815, 57009], [-6, -86]],\n", " [[15809, 56923], [0, 0]],\n", " [[15809, 56923], [-36, -8], [6, -210], [32, 178]],\n", " [[15811, 56883], [9, -194], [44, -176], [-29, -151], [-24, -319]],\n", " [[15811, 56043], [-12, -216], [26, -171]],\n", " [[15825, 55656], [-2, 1]],\n", " [[15823, 55657], [-19, 10], [26, -424], [-26, -52]],\n", " [[15804, 55191], [-30, -72], [-47, -344]]]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "usmap['arcs'][:10]" ] }, { "cell_type": "markdown", "metadata": { "id": "k5r3XGSTqoKB" }, "source": [ "It seems pretty daunting to work with this dataset, right? But fortunately people have already built tools to handle such data." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1690232939346, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "Xq6w_c7fqoKC" }, "outputs": [], "source": [ "states = alt.topo_feature(data.us_10m.url, 'states')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1690232939761, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "94sDpllZqoKC", "outputId": "55bb5c0e-d5d9-4e00-e4a9-10515f07fbd2" }, "outputs": [ { "data": { "text/plain": [ "UrlData({\n", " format: TopoDataFormat({\n", " feature: 'states',\n", " type: 'topojson'\n", " }),\n", " url: 'https://cdn.jsdelivr.net/npm/vega-datasets@v1.29.0/data/us-10m.json'\n", "})" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "states" ] }, { "cell_type": "markdown", "metadata": { "id": "y_FDWolcqoKD" }, "source": [ "Can you find a mark for geographical shapes from here https://altair-viz.github.io/user_guide/marks/index.html# and draw the states?" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 331 }, "executionInfo": { "elapsed": 327, "status": "ok", "timestamp": 1690232957050, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "oOLvExieqoKD", "outputId": "62cf18ce-f128-4f52-e60f-903ea8c930ef" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "LAVrvLESqoKD" }, "source": [ "And then project it using the `albersUsa`?" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 331 }, "executionInfo": { "elapsed": 17, "status": "ok", "timestamp": 1690232957991, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "256_fw7hqoKE", "outputId": "164a356e-1b0f-4823-c0de-6e9056252773" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "sD5c6TroqoKE" }, "source": [ "Can you do the same thing with counties and draw county boundaries?" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 331 }, "executionInfo": { "elapsed": 5, "status": "ok", "timestamp": 1690232958857, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "PucM5vM9qoKF", "outputId": "f4a74e7f-1cbd-4e30-c6c7-ff3a3f700700" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "JhiS_GwWqoKF" }, "source": [ "Let's load some county-level unemployment data." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "executionInfo": { "elapsed": 13, "status": "ok", "timestamp": 1690232959933, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "dsLXey0VqoKG", "outputId": "641cee21-733e-4d0c-80d6-16d66e31f345" }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id rate\n", "0 1001 0.097\n", "1 1003 0.091\n", "2 1005 0.134\n", "3 1007 0.121\n", "4 1009 0.099" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_data = data.unemployment(sep='\\t')\n", "unemp_data.head()" ] }, { "cell_type": "markdown", "metadata": { "id": "jCQX5fJEqoKG" }, "source": [ "This dataset has unemployment rate. When? I don't know. We don't care about data provenance here because the goal is quickly trying out choropleth. But if you're working with a real dataset, you should be very sensitive about the provenance of your dataset. Make sure you understand where the data came from and how it was processed.\n", "\n", "Anyway, for each county specified with `id`. To combine two datasets, we use \"Lookup transform\" - https://vega.github.io/vega/docs/transforms/lookup/. Essentially, we use the `id` in the map data to look up (again) `id` field in the `unemp_data` and then bring in the `rate` variable. Then, we can use that `rate` variable to encode the color of the `geoshape` mark." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 431, "resources": { "http://localhost:8080/altair-data-141893a9f0c2b2c58be329ef58d66780.json": { "data": "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", "headers": [ [ "content-length", "1449" ], [ "content-type", "text/html; charset=utf-8" ] ], "ok": false, "status": 404, "status_text": "" } } }, "executionInfo": { "elapsed": 12, "status": "ok", "timestamp": 1690232960674, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "UknNEGG_qoKH", "outputId": "dcce3265-2bf7-46d3-97a4-17264b815d00" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "alt.Chart(us_counties).mark_geoshape().project(\n", " type='albersUsa'\n", ").transform_lookup(\n", " lookup='id',\n", " from_=alt.LookupData(unemp_data, 'id', ['rate'])\n", ").encode(\n", " color='rate:Q'\n", ").properties(\n", " width=700,\n", " height=400\n", ")" ] }, { "cell_type": "markdown", "metadata": { "id": "mMHYUbQsqoKH" }, "source": [ "There you have it, a nice choropleth map. 😎\n" ] }, { "cell_type": "markdown", "metadata": { "id": "gdInAvwdqoKI" }, "source": [ "## Raster visualization with datashader\n", "\n", "Although many geovisualizations use vector graphics, raster visualization is still useful especially when you deal with images and lots of datapoints. Datashader is a package that aggregates and visualizes a large amount of data very quickly. Given a *scene* (visualization boundary, resolution, etc.), it quickly aggregate the data and produce **pixels** and send them to you.\n", "\n", "To appreciate its power, we need a fairly large dataset. Let's use NYC taxi trip dataset on Kaggle: https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips You can download even bigger trip data from NYC open data website: https://opendata.cityofnewyork.us/data/\n", "\n", "Ah, and you want to install the datashader, bokeh, and holoviews first if you don't have them yet. \n", "\n", "```sh\n", "uv add datashader bokeh holoviews jupyter-bokeh\n", "```\n", "\n", "or \n", "\n", "```sh\n", "pip install datashader bokeh holoviews jupyter-bokeh\n", "```\n", "\n", "or\n", "\n", "```sh\n", "conda install datashader bokeh holoviews jupyter-bokeh\n", "```\n", " " ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "executionInfo": { "elapsed": 3016, "status": "ok", "timestamp": 1690233051824, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "Coy9hAAfqoKI" }, "outputs": [], "source": [ "import pandas as pd\n", "import datashader as ds\n", "from datashader import transfer_functions as tf\n", "from colorcet import fire" ] }, { "cell_type": "markdown", "metadata": { "id": "camMhr7pqoKI" }, "source": [ "Because the dataset is pretty big, let's use a small sample first. For this visualization, we only keep the dropoff location." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 345 }, "executionInfo": { "elapsed": 319, "status": "error", "timestamp": 1690233059618, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "0DxKvpjoqoKJ", "outputId": "b9b581ae-328f-42de-8bdf-aeba33b1ff65" }, "outputs": [ { "data": { "text/html": [ "
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dropoff_longitudedropoff_latitude
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" ], "text/plain": [ " dropoff_longitude dropoff_latitude\n", "0 -73.982227 40.731790\n", "1 -73.960449 40.763995\n", "2 -73.986626 40.765217\n", "3 -73.979863 40.777050\n", "4 -73.984367 40.720524" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nyctaxi_small = pd.read_csv('~/Downloads/archive/nyc_taxi_data_2014.csv', nrows=10000,\n", " usecols=['dropoff_longitude', 'dropoff_latitude'])\n", "nyctaxi_small.head()" ] }, { "cell_type": "markdown", "metadata": { "id": "bXyxUFG-qoKJ" }, "source": [ "Although the dataset is different, we can still follow the example here: https://datashader.org/getting_started/Introduction.html" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "L6ZCUMFAqoKJ", "outputId": "94c8f839-4197-4413-b19a-a867b964eb8f" }, "outputs": [ { "data": { "image/png": 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"text/html": [ "" ], "text/plain": [ " Size: 1MB\n", "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278230783],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " ...,\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080]], shape=(600, 600), dtype=uint32)\n", "Coordinates:\n", " * dropoff_longitude (dropoff_longitude) float64 5kB -74.31 ... -0.06197\n", " * dropoff_latitude (dropoff_latitude) float64 5kB 0.03423 0.1027 ... 41.04" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "agg = ds.Canvas().points(nyctaxi_small, 'dropoff_longitude', 'dropoff_latitude')\n", "tf.set_background(tf.shade(agg, cmap=fire),\"black\")" ] }, { "cell_type": "markdown", "metadata": { "id": "OKsxrWfhqoKK" }, "source": [ "Why can't we see anything? Wait, do you see the small dots on the left top? Can that be New York City? Maybe we don't see anything because some people travel very far? or because the dataset has some missing data?\n", "\n", "**Q: Can you first check whether there are NaNs? Then drop them and draw the map again?**" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "id": "IczXK0shqoKK", "outputId": "11dc377d-ba70-4976-a9e3-daa71f7a8824" }, "outputs": [ { "data": { "text/plain": [ "dropoff_longitude 1\n", "dropoff_latitude 1\n", "dtype: int64" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "id": "ac27UgIfqoKL", "outputId": "723f1494-65d5-4a7a-fdc7-1f03142643a2" }, "outputs": [ { "data": { "image/png": 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"text/html": [ "" ], "text/plain": [ " Size: 1MB\n", "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278230783],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " ...,\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080]], shape=(600, 600), dtype=uint32)\n", "Coordinates:\n", " * dropoff_longitude (dropoff_longitude) float64 5kB -74.31 ... -0.06197\n", " * dropoff_latitude (dropoff_latitude) float64 5kB 0.03423 0.1027 ... 41.04" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# drop the rows with NaN and then draw the map again.\n", "\n", "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "t-76U_7vqoKM" }, "source": [ "So it's not about the missing data.\n", "\n", "**Q: Can you identify the issue and draw the map like the following?**\n", "\n", "hint: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.between.html this method may be helpful." ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "kZFc77QhqoKM", "outputId": "2003389f-aaa0-4b54-ca8e-67a82ee1d642" }, "outputs": [], "source": [ "# You can use multiple cells to figure out what's going on.\n", "\n", "# YOUR SOLUTION HERE" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "WyBuABbSqoKN", "outputId": "a6b22583-78ae-4356-9ee0-44c1049031df" }, "outputs": [ { "data": { "image/png": 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", "text/html": [ "" ], "text/plain": [ " Size: 1MB\n", "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " ...,\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080]], shape=(600, 600), dtype=uint32)\n", "Coordinates:\n", " * dropoff_longitude (dropoff_longitude) float64 5kB -74.09 -74.09 ... -73.71\n", " * dropoff_latitude (dropoff_latitude) float64 5kB 40.58 40.58 ... 40.98" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "agg = ds.Canvas().points(nyctaxi_small_filtered, 'dropoff_longitude', 'dropoff_latitude')\n", "tf.set_background(tf.shade(agg, cmap=fire), \"black\")" ] }, { "cell_type": "markdown", "metadata": { "id": "nq6Px8I8qoKO" }, "source": [ "Do you see the black empty space at the center? That looks like the Central Park. This is cool, but it'll be awesome if we can explore the data interactively." ] }, { "cell_type": "markdown", "metadata": { "id": "FP4BKa0qqoKP" }, "source": [ "Ok, now let's get serious by loading the whole dataset. It may take some time. Apply the same data cleaning procedure." ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "id": "-hKJ8Eo0qoKP" }, "outputs": [], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "DIp6mf1GqoKP" }, "source": [ "Can you feed the data directly to datashader to reproduce the static plot, this time with the full data?" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "id": "b3vV9m7RqoKQ", "outputId": "c7e39a6a-e484-4720-e8f9-4364a75b4a26" }, "outputs": [ { "data": { "image/png": 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", "text/html": [ "" ], "text/plain": [ " Size: 1MB\n", "array([[4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " ...,\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080],\n", " [4278190080, 4278190080, 4278190080, ..., 4278190080, 4278190080,\n", " 4278190080]], shape=(600, 600), dtype=uint32)\n", "Coordinates:\n", " * dropoff_longitude (dropoff_longitude) float64 5kB -74.1 -74.1 ... -73.7\n", " * dropoff_latitude (dropoff_latitude) float64 5kB 40.5 40.5 ... 41.0 41.0" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "vk9lsI3RqoKQ" }, "source": [ "Wow, that's fast. Also it looks cool!\n", "\n", "Let's try the interactive version from here: https://datashader.org/getting_started/Introduction.html" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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dropoff_longitudedropoff_latitude
0-73.98222740.731790
1-73.96044940.763995
2-73.98662640.765217
3-73.97986340.777050
4-73.98436740.720524
.........
14999994-74.00067540.725737
14999995-73.99128740.692535
14999996-73.77650540.740790
14999997-74.00595340.710922
14999998-73.97240740.747463
\n", "

14751421 rows × 2 columns

\n", "
" ], "text/plain": [ " dropoff_longitude dropoff_latitude\n", "0 -73.982227 40.731790\n", "1 -73.960449 40.763995\n", "2 -73.986626 40.765217\n", "3 -73.979863 40.777050\n", "4 -73.984367 40.720524\n", "... ... ...\n", "14999994 -74.000675 40.725737\n", "14999995 -73.991287 40.692535\n", "14999996 -73.776505 40.740790\n", "14999997 -74.005953 40.710922\n", "14999998 -73.972407 40.747463\n", "\n", "[14751421 rows x 2 columns]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nyctaxi_filtered" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We currently only have longitudes and latitudes. We need to conver them into a coordinate system that datashader understands. " ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/d0/wgh1l_5905x4crqpp1b7whz40000gn/T/ipykernel_74650/1009409252.py:4: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['dropoff_x'], df['dropoff_y'] = lnglat_to_meters(df.dropoff_longitude, df.dropoff_latitude)\n", "/var/folders/d0/wgh1l_5905x4crqpp1b7whz40000gn/T/ipykernel_74650/1009409252.py:4: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df['dropoff_x'], df['dropoff_y'] = lnglat_to_meters(df.dropoff_longitude, df.dropoff_latitude)\n" ] } ], "source": [ "from datashader.utils import lnglat_to_meters\n", "\n", "df = nyctaxi_filtered\n", "df['dropoff_x'], df['dropoff_y'] = lnglat_to_meters(df.dropoff_longitude, df.dropoff_latitude)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can visualize the data interactively. 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\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9617c37ccf5f4735b890f170e62f4462", "version_major": 2, "version_minor": 0 }, "text/plain": [ "BokehModel(combine_events=True, render_bundle={'docs_json': {'1f334765-f198-460d-b567-13c6286e1155': {'version…" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import holoviews as hv\n", "import colorcet as cc\n", "\n", "from holoviews.element.tiles import EsriImagery\n", "from holoviews.operation.datashader import datashade\n", "hv.extension('bokeh')\n", "\n", "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "hUQHpvavqoKT" }, "source": [ "**Q: how many rows (data points) are we visualizing right now?**" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "m-_JQKvZqoKU", "outputId": "b3170f1e-758e-47eb-cdf2-8cf32f44fa20" }, "outputs": [ { "data": { "text/plain": [ "14751421" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": { "id": "nxd8DnIrqoKU" }, "source": [ "That's a lot of data points. If we are using a vector format, it is probably hopeless to expect any interactivity because you need to move that many points! Yet, datashader + holoviews + bokeh renders everything almost in real time!" ] }, { "cell_type": "markdown", "metadata": { "id": "m36lbKUDqoKU" }, "source": [ "## Leaflet\n", "\n", "Another useful tool is Leaflet. It allows you to use various map tile data (Google maps, Open streetmap, ...) with many types of marks (points, heatmap, etc.). [Leaflet.js](https://leafletjs.com) is one of the easiest options to do that on the web, and there is a Python bridge of it: https://github.com/jupyter-widgets/ipyleaflet. \n", "\n", "You can install it simply by \n", "\n", "```sh\n", "pip install ipyleaflet\n", "```\n", "\n", "It is quite easy to display an interactive map with it. You can also add markers, polygons, etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "from ipyleaflet import Map, Marker\n", "\n", "center = (52.204793, 360.121558)\n", "\n", "m = Map(center=center, zoom=15)\n", "\n", "marker = Marker(location=center, draggable=True)\n", "m.add(marker);\n", "\n", "display(m)\n", "\n", "marker.location = center\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "ipyleaflet lets you use various basemaps. You can find the list of available basemaps here: https://leaflet-extras.github.io/leaflet-providers/preview/ \n", "\n", "For instance, let's use OpenStreetMap and zoom into the Luddy School building." ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6dccb64fa831422b93d2986152e6496e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map(center=[39.172681590059604, -86.5233788123735], controls=(ZoomControl(options=['position', 'zoom_in_text',…" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from ipyleaflet import basemaps, Map\n", "\n", "center = (39.172681590059604, -86.5233788123735)\n", "zoom = 17\n", "\n", "Map(basemap=basemaps.OpenStreetMap.HOT, center=center, zoom=zoom)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Q: can you identify a combination of location, zoom-level, and basemap to create an interesting(?) map?**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's create a heatmap. First create a small list of random points around the center. " ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(39.172681590059604, -86.5233788123735)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "center" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[[39.177558691297605, -86.52638666590724, 1.8689416246340635],\n", " [39.17728485479434, -86.51897110890643, 0.48052240513828004]]" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import random\n", "\n", "random_points = [\n", " [\n", " random.uniform(center[0]-0.01, center[0]+0.01), \n", " random.uniform(center[1]-0.01, center[1]+0.01), \n", " random.uniform(0, 5)\n", " ] for x in range(100)\n", "]\n", "random_points[:2]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Q: using these random points, can you create a heatmap?**\n", "\n", "documentation: https://ipyleaflet.readthedocs.io/en/latest/layers/heatmap.html" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3b674d8608ae460190826f24dc4a594e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map(center=[39.172681590059604, -86.5233788123735], controls=(ZoomControl(options=['position', 'zoom_in_text',…" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from ipyleaflet import Map, Heatmap\n", "\n", "# YOUR SOLUTION HERE" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Summary \n", "\n", "Ok! In this assignment, we played with dot maps, choropleth maps, and heatmaps. Although sometimes we can simply show the data points that reveal the geography, usually we need to have a basemap upon which we put our data. \n", "\n", "### Tools: what to use when?\n", "\n", "Some packages like `datashader` allows us to work with tons of data points and visualize and interact with them on a map. Altair/Vega can provide a very simple way to create standard map visualizations that can be used in a web pages and dashboards. Finally, `ipyleaflet` allows us to create highly interactive maps. The focus is more on showing a specific basemap and overlaying data points on it, while most other packages are more focused on showing the data in question on a basic map. \n", "\n", "There are many other tools as well. For example, `plotly` can create 3D globes and `folium` can create interactive maps. `R` also has a lot of tools for creating maps and frequently used for geographical data analysis and visualization. \n", "\n", "\n", "\n" ] } ], "metadata": { "anaconda-cloud": {}, "colab": { "provenance": [] }, "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.10" }, "toc": { "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 0 }