From 4f1bb9aa865c2b51ca603aae3b6302ea2b7d8aa4 Mon Sep 17 00:00:00 2001 From: shiwakotisurendra <63626177+shiwakotisurendra@users.noreply.github.com> Date: Fri, 17 Apr 2020 17:48:16 +0545 Subject: [PATCH 1/3] pydeck access token added --- examples/shiwakotisurendra.ipynb | 727 +++++++++++++++++++++++++++++++ 1 file changed, 727 insertions(+) create mode 100644 examples/shiwakotisurendra.ipynb diff --git a/examples/shiwakotisurendra.ipynb b/examples/shiwakotisurendra.ipynb new file mode 100644 index 0000000..504d207 --- /dev/null +++ b/examples/shiwakotisurendra.ipynb @@ -0,0 +1,727 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Package loading and basic configurations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# load dependencies'\n", + "import pandas as pd\n", + "import geopandas as gpd\n", + "\n", + "from envirocar import TrackAPI, DownloadClient, BboxSelector, ECConfig\n", + "\n", + "# create an initial but optional config and an api client\n", + "config = ECConfig()\n", + "track_api = TrackAPI(api_client=DownloadClient(config=config))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Querying enviroCar Tracks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following cell queries tracks from the enviroCar API. It defines a bbox for the area of Münster (Germany) and requests 50 tracks. The result is a GeoDataFrame, which is a geo-extended Pandas dataframe from the GeoPandas library. It contains all information of the track in a flat dataframe format including a specific geometry column. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idtimegeometryGPS PDOP.valueGPS PDOP.unitSpeed.valueSpeed.unitGPS Altitude.valueGPS Altitude.unitGPS Bearing.value...Consumption.valueConsumption.unittrack.appVersiontrack.touVersionO2 Lambda Voltage ER.valueO2 Lambda Voltage ER.unitMAF.valueMAF.unitO2 Lambda Voltage.valueO2 Lambda Voltage.unit
05e8b930965b80c5d6b4d7cd12020-03-07T12:33:15POINT (7.64069 51.95733)1.090631precision28.999999km/h110.381939m124.858622...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
15e8b930965b80c5d6b4d7cd32020-03-07T12:33:20POINT (7.64118 51.95712)1.000000precision28.000000km/h108.260375m125.020801...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
25e8b930965b80c5d6b4d7cd42020-03-07T12:33:26POINT (7.64162 51.95690)1.257198precision28.000001km/h105.826028m121.203960...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
35e8b930965b80c5d6b4d7cd52020-03-07T12:33:31POINT (7.64210 51.95672)1.000000precision30.000000km/h104.395998m123.412759...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
45e8b930965b80c5d6b4d7cd62020-03-07T12:33:36POINT (7.64264 51.95650)1.026727precision31.409419km/h101.516865m122.170479...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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2835dc986e844ea856b702e3e0b2019-10-28T16:34:55POINT (7.59523 51.96505)1.700000precision47.999999km/h109.652212m276.419653...3.122268l/hNaNNaNNaNNaNNaNNaNNaNNaN
2845dc986e844ea856b702e3e0c2019-10-28T16:35:00POINT (7.59425 51.96512)1.497088precision48.297297km/h110.122771m276.271049...2.853618l/hNaNNaNNaNNaNNaNNaNNaNNaN
2855dc986e844ea856b702e3e0d2019-10-28T16:35:05POINT (7.59327 51.96518)1.688911precision49.000001km/h110.573987m275.808021...4.657916l/hNaNNaNNaNNaNNaNNaNNaNNaN
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2875dc986e844ea856b702e3e0f2019-10-28T16:35:15POINT (7.59123 51.96531)1.423253precision50.000001km/h111.891658m276.124438...3.248333l/hNaNNaNNaNNaNNaNNaNNaNNaN
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Consumption.value \\\n", + "0 m 124.858622 ... NaN \n", + "1 m 125.020801 ... NaN \n", + "2 m 121.203960 ... NaN \n", + "3 m 123.412759 ... NaN \n", + "4 m 122.170479 ... NaN \n", + ".. ... ... ... ... \n", + "283 m 276.419653 ... 3.122268 \n", + "284 m 276.271049 ... 2.853618 \n", + "285 m 275.808021 ... 4.657916 \n", + "286 m 275.411387 ... 3.445271 \n", + "287 m 276.124438 ... 3.248333 \n", + "\n", + " Consumption.unit track.appVersion track.touVersion \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + ".. ... ... ... \n", + "283 l/h NaN NaN \n", + "284 l/h NaN NaN \n", + "285 l/h NaN NaN \n", + "286 l/h NaN NaN \n", + "287 l/h NaN NaN \n", + "\n", + " O2 Lambda Voltage ER.value O2 Lambda Voltage ER.unit MAF.value MAF.unit \\\n", + "0 NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN \n", + ".. ... ... ... ... \n", + "283 NaN NaN NaN NaN \n", + "284 NaN NaN NaN NaN \n", + "285 NaN NaN NaN NaN \n", + "286 NaN NaN NaN NaN \n", + "287 NaN NaN NaN NaN \n", + "\n", + " O2 Lambda Voltage.value O2 Lambda Voltage.unit \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + ".. ... ... \n", + "283 NaN NaN \n", + "284 NaN NaN \n", + "285 NaN NaN \n", + "286 NaN NaN \n", + "287 NaN NaN \n", + "\n", + "[9944 rows x 54 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bbox = BboxSelector([\n", + " 7.601165771484375, # min_x\n", + " 51.94807412325402, # min_y\n", + " 7.648200988769531, # max_x\n", + " 51.97261482608728 # max_y\n", + "])\n", + "\n", + "# issue a query\n", + "track_df = track_api.get_tracks(bbox=bbox, num_results=50) # requesting 50 tracks inside the bbox\n", + "track_df" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "track_df.plot(figsize=(8, 10))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Inspecting a single Track" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "some_track_id = track_df['track.id'].unique()[5]\n", + "some_track = track_df[track_df['track.id'] == some_track_id]\n", + "some_track.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = some_track['Speed.value'].plot()\n", + "ax.set_title(\"Speed\")\n", + "ax.set_ylabel(some_track['Speed.unit'][0])\n", + "ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interactive Map\n", + "The following map-based visualization makes use of folium. It allows to visualizate geospatial data based on an interactive leaflet map. Since the data in the GeoDataframe is modelled as a set of Point instead of a LineString, we have to manually create a polyline" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import folium\n", + "\n", + "lats = list(some_track['geometry'].apply(lambda coord: coord.y))\n", + "lngs = list(some_track['geometry'].apply(lambda coord: coord.x))\n", + "\n", + "avg_lat = sum(lats) / len(lats)\n", + "avg_lngs = sum(lngs) / len(lngs)\n", + "\n", + "m = folium.Map(location=[avg_lat, avg_lngs], zoom_start=13)\n", + "folium.PolyLine([coords for coords in zip(lats, lngs)], color='blue').add_to(m)\n", + "m" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example: Visualization with pydeck (deck.gl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The pydeck library makes use of the basemap tiles from Mapbox. In case you want to visualize the map with basemap tiles, you need to register with MapBox, and configure a specific access token. The service is free until a certain level of traffic is esceeded.\n", + "\n", + "You can either configure it via your terminal (i.e. `export MAPBOX_API_KEY=`), which pydeck will automatically read, or you can pass it as a variable to the generation of pydeck (i.e. `pdk.Deck(mapbox_key=, ...)`." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'/home/hafenkran/dev/envirocar/envirocar-py/examples/tracks_muenster.html'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pydeck as pdk\n", + "\n", + "# for pydeck the attributes have to be flat\n", + "track_df['lat'] = track_df['geometry'].apply(lambda coord: coord.y)\n", + "track_df['lng'] = track_df['geometry'].apply(lambda coord: coord.x)\n", + "vis_df = pd.DataFrame(track_df)\n", + "vis_df['speed'] = vis_df['Speed.value']\n", + "\n", + "# omit unit columns\n", + "vis_df_cols = [col for col in vis_df.columns if col.lower()[len(col)-4:len(col)] != 'unit']\n", + "vis_df = vis_df[vis_df_cols]\n", + "\n", + "layer = pdk.Layer(\n", + " 'ScatterplotLayer',\n", + " data=vis_df,\n", + " get_position='[lng, lat]',\n", + " auto_highlight=True,\n", + " get_radius=10, # Radius is given in meters\n", + " get_fill_color='[speed < 20 ? 0 : (speed - 20)*8.5, speed < 50 ? 255 : 255 - (speed-50)*8.5, 0, 140]', # Set an RGBA value for fill\n", + " pickable=True\n", + ")\n", + "\n", + "# Set the viewport location\n", + "view_state = pdk.ViewState(\n", + " longitude=7.5963592529296875,\n", + " latitude=51.96246168188569,\n", + " zoom=10,\n", + " min_zoom=5,\n", + " max_zoom=15,\n", + " pitch=40.5,\n", + " bearing=-27.36)\n", + "\n", + "r = pdk.Deck(\n", + " width=200, \n", + " layers=[layer], \n", + " initial_view_state=view_state #, mapbox_key=\n", + ")\n", + "r.to_html('tracks_muenster.html', iframe_width=900)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "envirocar", + "language": "python", + "name": "envirocar" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From d137ef2a7f0ecad84366897029027de3b40bf517 Mon Sep 17 00:00:00 2001 From: shiwakotisurendra <63626177+shiwakotisurendra@users.noreply.github.com> Date: Fri, 17 Apr 2020 18:31:14 +0545 Subject: [PATCH 2/3] access taken --- examples/shiwakotisurendra.ipynb | 39 +++++++++++++++++++------------- 1 file changed, 23 insertions(+), 16 deletions(-) diff --git a/examples/shiwakotisurendra.ipynb b/examples/shiwakotisurendra.ipynb index 504d207..24a959f 100644 --- a/examples/shiwakotisurendra.ipynb +++ b/examples/shiwakotisurendra.ipynb @@ -468,7 +468,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -477,7 +477,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -535,22 +535,22 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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" ], "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -644,7 +644,7 @@ " " ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -653,7 +653,7 @@ { "data": { "text/plain": [ - "'/home/hafenkran/dev/envirocar/envirocar-py/examples/tracks_muenster.html'" + "'C:\\\\Users\\\\shiwa\\\\tracks_muenster.html'" ] }, "execution_count": 7, @@ -697,17 +697,24 @@ "r = pdk.Deck(\n", " width=200, \n", " layers=[layer], \n", - " initial_view_state=view_state #, mapbox_key=\n", + " initial_view_state=view_state , mapbox_key=\"pk.eyJ1Ijoic2hpd2Frb3Rpc3VyZW5kcmEiLCJhIjoiY2s3NGRhMGx2MDZ4ZjNrcGF6eW0zMXhtbyJ9.v_-epcbqV215gfpOqLtZNA\"\n", ")\n", "r.to_html('tracks_muenster.html', iframe_width=900)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "envirocar", + "display_name": "Python 3", "language": "python", - "name": "envirocar" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -719,7 +726,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.9" + "version": "3.7.6" } }, "nbformat": 4, From 977010613bc0be4ddece8486348ed1e530dc6d4c Mon Sep 17 00:00:00 2001 From: shiwakotisurendra <63626177+shiwakotisurendra@users.noreply.github.com> Date: Fri, 17 Apr 2020 19:42:29 +0545 Subject: [PATCH 3/3] Access token added and comments updated --- examples/shiwakotisurendra.ipynb | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/examples/shiwakotisurendra.ipynb b/examples/shiwakotisurendra.ipynb index 24a959f..234cbab 100644 --- a/examples/shiwakotisurendra.ipynb +++ b/examples/shiwakotisurendra.ipynb @@ -703,11 +703,27 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "tasks performed :\n", + "a) created github account and gained familiarity with the github repository\n", + "b) used envirocar repository , and how to perform edits in the repository\n", + "c) forked and cloned the envirocar repository in the local repository.\n", + "c) used anaconda for python and jupyter notebook\n", + "d) installed the geopandas with its requirements gdal,fiona,rtree,shapely as well as envirocar module\n", + "e) gained the basic handling of the jupyter notebook \n", + "f) inserted the mapbox access token in the envirocar notebook using jupyter\n", + "g) add, commit and push the changes in github repository\n", + "\n", + "Problem faced:\n", + "a) problem in installing geopandas and wheels (gdal,fiona)\n", + " >>> manual installment done by downloading the wheels with respective python version \n", + "b) problem in updating the local repository changes in the remote repository \n", + "\n", + "result:\n", + "displayed the speed data using mapbox visualization in pydeck" + ] } ], "metadata": {