From 5c2f03e917a44ec8c8f2f7fb44ef15d6a85d7e3e Mon Sep 17 00:00:00 2001 From: Ryan Baumann Date: Thu, 29 Mar 2018 09:17:37 -0700 Subject: [PATCH] update example data url structure (#89) --- examples/data/cdec_temp.geojson | 627 ++++ examples/data/healthcare_points.geojson | 3175 +++++++++++++++++ examples/notebooks/cedc.geojson | 3175 +++++++++++++++++ .../notebooks/choropleth-viz-example.ipynb | 760 ++-- .../notebooks/image-vis-type-example.ipynb | 336 +- .../point-viz-categorical-example.ipynb | 881 ++--- .../notebooks/point-viz-types-example.ipynb | 1363 +++---- .../rastertile-viz-type-example.ipynb | 214 +- 8 files changed, 8894 insertions(+), 1637 deletions(-) create mode 100644 examples/data/cdec_temp.geojson create mode 100644 examples/data/healthcare_points.geojson create mode 100644 examples/notebooks/cedc.geojson diff --git a/examples/data/cdec_temp.geojson b/examples/data/cdec_temp.geojson new file mode 100644 index 0000000..7121b07 --- /dev/null +++ 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"properties": {"Avg Medicare Payments": 15522.065, "Avg Covered Charges": 45235.13, "date": "7/18/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-91.446, 44.778]}, "properties": {"Avg Medicare Payments": 10054.92, "Avg Covered Charges": 29690.64, "date": "7/19/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-88.595, 44.028]}, "properties": {"Avg Medicare Payments": 6636.248, "Avg Covered Charges": 23713.224, "date": "7/20/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-89.58, 44.89]}, "properties": {"Avg Medicare Payments": 6775.565, "Avg Covered Charges": 18125.567, "date": "7/21/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-87.954, 42.86]}, "properties": {"Avg Medicare Payments": 5185.845, "Avg Covered Charges": 21396.593, "date": "7/22/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-88.468, 43.065]}, "properties": {"Avg Medicare Payments": 5394.136, "Avg Covered Charges": 18783.772, "date": "7/23/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-87.928, 43.323]}, "properties": {"Avg Medicare Payments": 4824.682, "Avg Covered Charges": 21653.375, "date": "7/24/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-105.519, 44.29]}, "properties": {"Avg Medicare Payments": 9201.249, "Avg Covered Charges": 18203.452, "date": "7/25/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-106.976, 44.807]}, "properties": {"Avg Medicare Payments": 8311.576, "Avg Covered Charges": 18903.21, "date": "7/26/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-108.419, 43.035]}, "properties": {"Avg Medicare Payments": 6559.186, "Avg Covered Charges": 18703.795, "date": "7/27/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-108.727, 42.82]}, "properties": {"Avg Medicare Payments": 6462.091, "Avg Covered Charges": 21735.262, "date": "7/28/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-109.236, 41.585]}, "properties": {"Avg Medicare Payments": 8984.741, "Avg Covered Charges": 17848.909, "date": "7/29/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-106.308, 42.848]}, "properties": {"Avg Medicare Payments": 9488.135, "Avg Covered Charges": 34405.223, "date": "7/30/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-104.816, 41.141]}, "properties": {"Avg Medicare Payments": 10629.867, "Avg Covered Charges": 31418.937, "date": "7/31/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-110.75, 43.48]}, "properties": {"Avg Medicare Payments": 24350.487, "Avg Covered Charges": 41954.14, "date": "8/1/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-105.556, 41.312]}, "properties": {"Avg Medicare Payments": 10011.883, "Avg Covered Charges": 17732.748, "date": "8/2/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-110.991, 41.243]}, "properties": {"Avg Medicare Payments": 7437.495, "Avg Covered Charges": 23949.1, "date": "8/3/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-106.226, 42.841]}, "properties": {"Avg Medicare Payments": 10733.798, "Avg Covered Charges": 49971.464, "date": "8/4/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.258, 30.047]}, "properties": {"Avg Medicare Payments": 14692.46, "Avg Covered Charges": 33018.91, "date": "8/5/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.126, 29.534]}, "properties": {"Avg Medicare Payments": 16939.078, "Avg Covered Charges": 105059.308, "date": "8/6/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.461, 29.723]}, "properties": {"Avg Medicare Payments": 11382.362, "Avg Covered Charges": 56969.652, "date": "8/7/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.095, 30.329]}, "properties": {"Avg Medicare Payments": 5402.91, "Avg Covered Charges": 14849.34, "date": "8/8/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.401, 29.693]}, "properties": {"Avg Medicare Payments": 11596.553, "Avg Covered Charges": 60175.915, "date": "8/9/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.095, 32.568]}, "properties": {"Avg Medicare Payments": 6374.693, "Avg Covered Charges": 31817.968, "date": "8/10/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.674, 29.953]}, "properties": {"Avg Medicare Payments": 7655.668, "Avg Covered Charges": 80052.692, "date": "8/11/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.79, 33.015]}, "properties": {"Avg Medicare Payments": 8349.838, "Avg Covered Charges": 41491.145, "date": "8/12/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.463, 29.71]}, "properties": {"Avg Medicare Payments": 8784.44, "Avg Covered Charges": 65116.62, "date": "8/13/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.162, 29.641]}, "properties": {"Avg Medicare Payments": 5379.056, "Avg Covered Charges": 28507.139, "date": "8/14/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.685, 30.564]}, "properties": {"Avg Medicare Payments": 7124.935, "Avg Covered Charges": 25146.654, "date": "8/15/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.651, 30.567]}, "properties": {"Avg Medicare Payments": 6375.954, "Avg Covered Charges": 45843.143, "date": "8/16/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.812, 30.533]}, "properties": {"Avg Medicare Payments": 4954.738, "Avg Covered Charges": 29822.175, "date": "8/17/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.466, 32.885]}, "properties": {"Avg Medicare Payments": 5348.423, "Avg Covered Charges": 23765.891, "date": "8/18/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.412, 32.645]}, "properties": {"Avg Medicare Payments": 12847.445, "Avg Covered Charges": 76782.92, "date": "8/19/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-106.265, 31.79]}, "properties": {"Avg Medicare Payments": 7230.524, "Avg Covered Charges": 61648.217, "date": "8/20/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.771, 32.875]}, "properties": {"Avg Medicare Payments": 11771.823, "Avg Covered Charges": 37821.13, "date": "8/21/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-101.903, 33.617]}, "properties": {"Avg Medicare Payments": 5176.948, "Avg Covered Charges": 10102.53, "date": "8/22/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.762, 33.22]}, "properties": {"Avg Medicare Payments": 4435.164, "Avg Covered Charges": 17513.027, "date": "8/23/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.62, 29.605]}, "properties": {"Avg Medicare Payments": 9660.143, "Avg Covered Charges": 48044.354, "date": "8/24/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-98.59, 29.53]}, "properties": {"Avg Medicare Payments": 18004.7, "Avg Covered Charges": 78096.005, "date": "8/25/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-98.475, 29.616]}, "properties": {"Avg Medicare Payments": 6957.479, "Avg Covered Charges": 40209.005, "date": "8/26/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.854, 30.008]}, "properties": {"Avg Medicare Payments": 7775.728, "Avg Covered Charges": 50232.53, "date": "8/27/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.459, 30.203]}, "properties": {"Avg Medicare Payments": 22846.092, "Avg Covered Charges": 72005.962, "date": "8/28/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.569, 32.779]}, "properties": {"Avg Medicare Payments": 10129.047, "Avg Covered Charges": 41962.343, "date": "8/29/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.375, 27.686]}, "properties": {"Avg Medicare Payments": 9346.575, "Avg Covered Charges": 53932.705, "date": "8/30/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.117, 32.683]}, "properties": {"Avg Medicare Payments": 12467.915, "Avg Covered Charges": 66848.12, "date": "8/31/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.068, 33.046]}, "properties": {"Avg Medicare Payments": 5686.26, "Avg Covered Charges": 30620.551, "date": "9/1/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.723, 33.177]}, "properties": {"Avg Medicare Payments": 8709.45, "Avg Covered Charges": 32115.5, "date": "9/2/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.116, 32.748]}, "properties": {"Avg Medicare Payments": 3945.66, "Avg Covered Charges": 26435.207, "date": "9/3/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.478, 29.651]}, "properties": {"Avg Medicare Payments": 3894.55, "Avg Covered Charges": 9132.27, "date": "9/4/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.829, 32.985]}, "properties": {"Avg Medicare Payments": 9176.108, "Avg Covered Charges": 26091.035, "date": "9/5/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.568, 29.989]}, "properties": {"Avg Medicare Payments": 4116.482, "Avg Covered Charges": 33840.385, "date": "9/6/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-96.603, 33.677]}, "properties": {"Avg Medicare Payments": 8491.44, "Avg Covered Charges": 33310.61, "date": "9/7/22 12:00 AM"}} +,{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-95.697, 29.787]}, "properties": {"Avg Medicare Payments": 2743.57, "Avg Covered Charges": 22316.35, "date": "9/8/22 12:00 AM"}} +]} \ No newline at end of file diff --git a/examples/notebooks/choropleth-viz-example.ipynb b/examples/notebooks/choropleth-viz-example.ipynb index 757c636..d79f763 100644 --- a/examples/notebooks/choropleth-viz-example.ipynb +++ b/examples/notebooks/choropleth-viz-example.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 2, "metadata": { "scrolled": false }, @@ -179,134 +179,146 @@ "\n", "\n", @@ -324,7 +336,7 @@ ], "source": [ "# create choropleth from polygon features stored as GeoJSON\n", - "viz = ChoroplethViz('../data/us-states.geojson', \n", + "viz = ChoroplethViz('https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/us-states.geojson', \n", " color_property='density',\n", " color_stops=create_color_stops([0, 50, 100, 500, 1500], colors='YlOrRd'),\n", " color_function_type='interpolate',\n", @@ -348,7 +360,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -493,134 +505,146 @@ "\n", "\n", @@ -643,7 +667,7 @@ " ['California', 'rgb(142,68,173)'],\n", "]\n", "\n", - "viz = ChoroplethViz('../data/us-states.geojson', \n", + "viz = ChoroplethViz('https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/us-states.geojson', \n", " color_property='name', \n", " color_stops = match_color_stops, \n", " color_function_type = 'match', \n", @@ -667,7 +691,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -812,37 +836,47 @@ "\n", "\n", @@ -1014,7 +1050,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -1159,37 +1195,47 @@ "\n", "\n", @@ -1366,7 +1414,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1415,7 +1463,7 @@ "1 1002 29049" ] }, - "execution_count": 23, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1423,15 +1471,15 @@ "source": [ "# Load data from sample csv\n", "import pandas as pd\n", - "data_url = '../data/2010_us_population_by_postcode.csv'\n", + "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/2010_us_population_by_postcode.csv'\n", "df = pd.read_csv(data_url).round(3)\n", - "df = df.head(6000)\n", + "df = df.head(6000) # Show top 6k postcodes\n", "df.head(2)" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -1447,7 +1495,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1592,37 +1640,47 @@ "\n", "\n", @@ -1790,9 +1850,9 @@ "summary": "Mapboxgl Python Data Visualization example" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python3.6 Conda", "language": "python", - "name": "python3" + "name": "myenv" }, "language_info": { "codemirror_mode": { diff --git a/examples/notebooks/image-vis-type-example.ipynb b/examples/notebooks/image-vis-type-example.ipynb index 3ef4141..00c3df2 100644 --- a/examples/notebooks/image-vis-type-example.ipynb +++ b/examples/notebooks/image-vis-type-example.ipynb @@ -207,46 +207,60 @@ "\n", "\n", "\n", @@ -262,7 +276,7 @@ } ], "source": [ - "img_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/mosaic.png'\n", + "img_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/mosaic.png'\n", "\n", "# Coordinates must be an array in the form of [UL, UR, LR, LL]\n", "coordinates = [\n", @@ -291,7 +305,7 @@ "cell_type": "code", "execution_count": 5, "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -432,46 +446,60 @@ "\n", "\n", "\n", @@ -487,7 +515,7 @@ } ], "source": [ - "img = imread('../data/mosaic.png')\n", + "img = imread(img_url)\n", "img = numpy.mean(img[::10, ::10], axis=2)\n", "\n", "# Coordinates must be an array in the form of [UL, UR, LR, LL]\n", @@ -658,46 +686,60 @@ "\n", "\n", "\n", @@ -713,8 +755,6 @@ } ], "source": [ - "img = '../data/mosaic.png'\n", - "\n", "# Coordinates must be an array in the form of [UL, UR, LR, LL]\n", "coordinates = [\n", " [-123.40515640309, 38.534294809274336],\n", @@ -723,7 +763,7 @@ " [-123.40515640309, 32.08296982365502]]\n", "\n", "# Create the viz from the dataframe\n", - "viz = ImageViz(img, coordinates, access_token=token,\n", + "viz = ImageViz(img_url, coordinates, access_token=token,\n", " height='600px',\n", " center = (-119, 35),\n", " zoom = 5,\n", @@ -881,46 +921,60 @@ "\n", "\n", "\n", @@ -938,7 +992,7 @@ "source": [ "from matplotlib import cm\n", "\n", - "img = imread('../data/mosaic.png')\n", + "img = imread(img_url)\n", "img = numpy.mean(img[::10, ::10], axis=2)\n", "img = cm.magma(img)\n", "\n", @@ -966,9 +1020,9 @@ "summary": "Mapboxgl Python Data Visualization example" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python3.6 Conda", "language": "python", - "name": "python3" + "name": "myenv" }, "language_info": { "codemirror_mode": { diff --git a/examples/notebooks/point-viz-categorical-example.ipynb b/examples/notebooks/point-viz-categorical-example.ipynb index 852e9ed..c1bb106 100644 --- a/examples/notebooks/point-viz-categorical-example.ipynb +++ b/examples/notebooks/point-viz-categorical-example.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "metadata": { "scrolled": false }, @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -141,14 +141,14 @@ "1 National Weather Service temp " ] }, - "execution_count": 3, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Load data from sample csv\n", - "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/cdec.csv'\n", + "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/cdec.csv'\n", "df = pd.read_csv(data_url)\n", "\n", "# Convert Elevation series to float\n", @@ -162,16 +162,16 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'feature_count': 2353, 'filename': 'cdec.geojson', 'type': 'file'}" + "{'feature_count': 2353, 'filename': '../data/cdec.geojson', 'type': 'file'}" ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -180,7 +180,7 @@ "# Create geojson data object\n", "df_to_geojson(\n", " df.fillna(''), \n", - " filename=\"cdec.geojson\",\n", + " filename=\"../data/cdec.geojson\",\n", " properties=['CDEC ID', 'CNRFC ID', 'Gage Type', 'Elevation (feet)'],\n", " precision=4\n", ") " @@ -188,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -329,117 +329,131 @@ "\n", "\n", "\n", @@ -465,14 +479,15 @@ "]\n", "\n", "# Initialize CircleViz with Categorical Measure Data\n", - "viz = CircleViz('cdec.geojson', access_token=token, height='500px')\n", + "viz = CircleViz('../data/cdec.geojson', access_token=token, height='500px')\n", "viz.label_property = 'CDEC ID'\n", "\n", "# Marker color-related attributes\n", "viz.color_property = 'Gage Type'\n", - "viz.default_color = 'grey'\n", + "viz.color_default = 'grey'\n", "viz.color_function_type = 'match'\n", "viz.color_stops = category_color_stops\n", + "viz.radius = 2\n", "\n", "# Set center, zoom and render map\n", "viz.center = (-121, 38.5)\n", @@ -489,7 +504,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -630,115 +645,129 @@ "\n", "\n", "\n", @@ -769,19 +798,21 @@ "\n", "# Select temperature gage records with numeric elevation data\n", "temperature_df = df[df['Gage Type']=='temp']\n", - "data = df_to_geojson(temperature_df, properties=['CDEC ID', 'Elevation (feet)'],)\n", + "df_to_geojson(temperature_df, filename='../data/cdec_temp.geojson', properties=['CDEC ID', 'Elevation (feet)'])\n", "\n", "# Test CircleViz with interval measure data\n", - "viz = CircleViz(data, access_token=token, height='400px')\n", + "viz = CircleViz('../data/cdec_temp.geojson', access_token=token, height='400px')\n", "\n", "# Marker color-related attributes\n", "viz.color_property = 'Elevation (feet)'\n", "viz.color_function_type = 'interpolate'\n", "viz.color_stops = sample_color_stops\n", + "viz.radius = 2\n", "\n", "# Set center, zoom and render map\n", "viz.center = (-121, 37.5)\n", "viz.zoom = 4.5\n", + "viz.below_layer = 'waterway-label'\n", "viz.show() " ] }, @@ -794,7 +825,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -935,118 +966,130 @@ "\n", "\n", @@ -1063,9 +1106,6 @@ } ], "source": [ - "# create geojson data object\n", - "data = df_to_geojson(df, properties=['CDEC ID', 'Elevation (feet)', 'Gage Type'],)\n", - "\n", "# Radius stops for linear interpolation\n", "sample_radius_stops = [\n", " [0.0, 1.0],\n", @@ -1077,24 +1117,25 @@ "]\n", "\n", "# Initialize Graduated Circle Visualization \n", - "viz2 = GraduatedCircleViz(data, access_token=token, height='400px')\n", - "# viz2.label_property = 'CDEC ID'\n", + "viz2 = GraduatedCircleViz('../data/cdec.geojson', access_token=token, height='400px')\n", "\n", "# Marker color-related attributes\n", "viz2.color_function_type = 'match'\n", "viz2.color_stops = category_color_stops\n", "viz2.color_property = 'Gage Type'\n", - "viz2.default_color = 'grey'\n", + "viz2.color_default = 'grey'\n", "viz2.opacity = 0.5\n", "\n", "# Marker radius-related attributes\n", "viz2.radius_property = 'Elevation (feet)'\n", "viz2.radius_stops = sample_radius_stops\n", "viz2.radius_function_type = 'interpolate'\n", + "viz2.radius_default = 2\n", "\n", "# Set center, zoom and render map\n", "viz2.center = (-121, 37.5)\n", "viz2.zoom = 4.5\n", + "viz2.below_layer = 'waterway-label'\n", "viz2.show()" ] }, @@ -1107,7 +1148,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1248,118 +1289,130 @@ "\n", "\n", @@ -1376,37 +1429,35 @@ } ], "source": [ - "# create geojson data object\n", - "data = df_to_geojson(df, properties=['CDEC ID', 'Elevation (feet)', 'Gage Type'])\n", - "\n", "# Radius stops for linear interpolation\n", "category_radius_stops = [\n", - " ['reservoir', 5], \n", - " ['river', 8], \n", - " ['snow', 11], \n", - " ['precip', 14], \n", - " ['temp', 17], \n", + " ['reservoir', 3], \n", + " ['river', 5], \n", + " ['snow', 8], \n", + " ['precip', 11], \n", + " ['temp', 14], \n", "]\n", "\n", "# Initialize Graduated Circle Visualization \n", - "viz2 = GraduatedCircleViz(data, access_token=token, height='400px')\n", + "viz2 = GraduatedCircleViz('../data/cdec.geojson', access_token=token, height='400px')\n", "\n", "# Marker color-related attributes\n", "viz2.color_function_type = 'match'\n", "viz2.color_stops = category_color_stops\n", "viz2.color_property = 'Gage Type'\n", - "viz2.default_color = 'grey'\n", + "viz2.color_default = 'grey'\n", "viz2.opacity = 0.5\n", "\n", "# Marker radius-related attributes\n", "viz2.radius_property = 'Elevation (feet)'\n", "viz2.radius_stops = category_radius_stops\n", "viz2.radius_function_type = 'match'\n", - "viz2.default_radius = 3\n", + "viz2.radius_default = 2\n", "\n", "# Set center, zoom and render map\n", "viz2.center = (-121, 37.5)\n", "viz2.zoom = 4.5\n", + "viz2.below_layer = 'waterway-label' \n", "viz2.show()" ] } @@ -1418,7 +1469,7 @@ "summary": "Mapboxgl Python Data Visualization example" }, "kernelspec": { - "display_name": "Conda Py3", + "display_name": "Python3.6 Conda", "language": "python", "name": "myenv" }, diff --git a/examples/notebooks/point-viz-types-example.ipynb b/examples/notebooks/point-viz-types-example.ipynb index 18e6e48..44ad145 100644 --- a/examples/notebooks/point-viz-types-example.ipynb +++ b/examples/notebooks/point-viz-types-example.ipynb @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -113,14 +113,14 @@ "1 1/2/14 12:00 AM " ] }, - "execution_count": 14, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Load data from sample csv\n", - "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/points.csv'\n", + "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/points.csv'\n", "df = pd.read_csv(data_url).round(3)\n", "df.head(2)" ] @@ -137,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -154,30 +154,32 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'feature_count': 3173, 'filename': '../data/points1.geojson', 'type': 'file'}" + "{'feature_count': 3173,\n", + " 'filename': '../data/healthcare_points.geojson',\n", + " 'type': 'file'}" ] }, - "execution_count": 16, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Create a geojson file export from the current dataframe\n", - "df_to_geojson(df, filename='../data/points1.geojson',\n", + "df_to_geojson(df, filename='../data/healthcare_points.geojson',\n", " properties=['Avg Medicare Payments', 'Avg Covered Charges', 'date'], \n", " lat='lat', lon='lon', precision=3)" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -318,115 +320,129 @@ "\n", "\n", "\n", @@ -443,14 +459,14 @@ ], "source": [ "# Just show a map of the data\n", - "viz = CircleViz('../data/points1.geojson', access_token=token, \n", + "viz = CircleViz('../data/healthcare_points.geojson', access_token=token, \n", " radius = 2, center = (-95, 40), zoom = 3)\n", "viz.show()" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 31, "metadata": { "scrolled": false }, @@ -593,115 +609,129 @@ "\n", "\n", "\n", @@ -723,7 +753,7 @@ "color_stops = create_color_stops(color_breaks, colors='YlGnBu')\n", "\n", "# Create the viz from the dataframe\n", - "viz = CircleViz('../data/points1.geojson',\n", + "viz = CircleViz('../data/healthcare_points.geojson',\n", " access_token=token, \n", " color_property = \"Avg Medicare Payments\",\n", " color_stops = color_stops,\n", @@ -746,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -887,117 +917,131 @@ "\n", "\n", "\n", @@ -1028,7 +1072,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1169,117 +1213,131 @@ "\n", "\n", "\n", @@ -1315,7 +1373,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 34, "metadata": { "scrolled": false }, @@ -1458,117 +1516,131 @@ "\n", "\n", "\n", @@ -1601,7 +1673,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1742,118 +1814,130 @@ "\n", "\n", @@ -1881,7 +1965,7 @@ "radius_stops = create_radius_stops(radius_breaks, 0.5, 10)\n", "\n", "# Create the viz\n", - "viz2 = GraduatedCircleViz('../data/points1.geojson', \n", + "viz2 = GraduatedCircleViz('../data/healthcare_points.geojson', \n", " access_token=token,\n", " color_property = \"Avg Covered Charges\",\n", " color_stops = color_stops,\n", @@ -1906,7 +1990,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -2047,62 +2131,75 @@ "\n", "\n", @@ -2130,7 +2227,7 @@ "heatmap_weight_stops = create_weight_stops(color_breaks)\n", "\n", "#Create a heatmap \n", - "viz3 = HeatmapViz('../data/points1.geojson', \n", + "viz3 = HeatmapViz('../data/healthcare_points.geojson', \n", " access_token=token,\n", " weight_property = \"Avg Medicare Payments\",\n", " weight_stops = heatmap_weight_stops,\n", @@ -2154,7 +2251,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -2324,7 +2421,7 @@ " \n", " map.addSource('data', {\n", " 'type': 'geojson',\n", - " 'data': '../data/points1.geojson', //data from dataframe output to geojson\n", + " 'data': '../data/healthcare_points.geojson', //data from dataframe output to geojson\n", " 'buffer': 0,\n", " 'maxzoom': 10 + 1,\n", " 'cluster': true,\n", @@ -2466,7 +2563,7 @@ "#Create a clustered circle map\n", "color_stops = create_color_stops([1, 10, 25, 50, 75, 100], colors='YlOrBr')\n", "\n", - "viz4 = ClusteredCircleViz('../data/points1.geojson', \n", + "viz4 = ClusteredCircleViz('../data/healthcare_points.geojson', \n", " access_token=token,\n", " color_stops = color_stops,\n", " stroke_color = 'black',\n", @@ -2523,7 +2620,7 @@ "summary": "Mapboxgl Python Data Visualization example" }, "kernelspec": { - "display_name": "Conda Py3", + "display_name": "Python3.6 Conda", "language": "python", "name": "myenv" }, diff --git a/examples/notebooks/rastertile-viz-type-example.ipynb b/examples/notebooks/rastertile-viz-type-example.ipynb index fb12d3a..fe6f3d4 100644 --- a/examples/notebooks/rastertile-viz-type-example.ipynb +++ b/examples/notebooks/rastertile-viz-type-example.ipynb @@ -176,53 +176,66 @@ "\n", "\n", @@ -260,7 +273,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -401,53 +414,66 @@ "\n", "\n", @@ -464,7 +490,6 @@ } ], "source": [ - "\n", "tiles_url = 'https://cogeo.remotepixel.ca/tiles/{z}/{x}/{y}.jpg?tile=256&nodata=0&url=http://oin-hotosm.s3.amazonaws.com/594ab0ba1b114600111194a3/0/d66720c4-148c-4e11-9d54-4ae2a6ba6351.tif'\n", "\n", "# Define the tile endpoint bounds\n", @@ -478,24 +503,17 @@ " center=tiles_center,\n", " tiles_minzoom=13,\n", " tiles_maxzoom=18,\n", - " zoom=16,\n", + " zoom=15,\n", " below_layer='waterway-label')\n", "viz.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python3.6 Conda", "language": "python", - "name": "python3" + "name": "myenv" }, "language_info": { "codemirror_mode": {