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ni1o1
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add tutorial
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‎pydeck-getstart.ipynb‎

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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T09:20:39.522179Z",
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"start_time": "2020-05-30T09:20:39.516197Z"
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"end_time": "2020-05-31T01:32:26.355475Z",
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"start_time": "2020-05-31T01:32:25.344173Z"
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"outputs": [],
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},
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"cell_type": "code",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T03:30:03.247530Z",
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"start_time": "2020-05-30T03:30:02.570314Z"
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"end_time": "2020-05-31T02:06:20.732514Z",
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"start_time": "2020-05-31T02:06:20.119127Z"
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"outputs": [
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"4 01:08:17 "
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]
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"cell_type": "code",
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"execution_count": 84,
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"execution_count": 21,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T09:21:31.749810Z",
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"start_time": "2020-05-30T09:21:31.741829Z"
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"end_time": "2020-05-31T02:06:21.250130Z",
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"start_time": "2020-05-31T02:06:21.243120Z"
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}
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"outputs": [
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"464718"
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]
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"execution_count": 21,
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"output_type": "execute_result"
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}
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"metadata": {},
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"source": [
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"如果我们直接可视化46万条数据，pydeck还是一下子没法处理那么多，亲测几万条数据还是可以的，但是上十万就会卡死不显示。 \n",
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"所以这里还是对数据的经纬度保留三位小数集计后再进行可视化"
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"所以这里还是对数据的经纬度保留小数集计后再进行可视化"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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"execution_count": 22,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T04:05:28.163456Z",
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"start_time": "2020-05-30T04:05:28.085635Z"
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"end_time": "2020-05-31T02:06:22.229719Z",
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"start_time": "2020-05-31T02:06:22.159665Z"
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}
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},
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"outputs": [],
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"source": [
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"TaxiOD['SLng'] = TaxiOD['SLng'].round(3)\n",
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"TaxiOD['SLat'] = TaxiOD['SLat'].round(3)"
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"TaxiOD['SLng'] = TaxiOD['SLng'].round(4)\n",
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"TaxiOD['SLat'] = TaxiOD['SLat'].round(4)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"execution_count": 23,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T04:05:29.667001Z",
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"start_time": "2020-05-30T04:05:29.591207Z"
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"end_time": "2020-05-31T02:06:23.212117Z",
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"start_time": "2020-05-31T02:06:23.067235Z"
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-30T09:34:10.238408Z",
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"start_time": "2020-05-30T09:34:09.942677Z"
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"end_time": "2020-05-31T01:32:35.556882Z",
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"start_time": "2020-05-31T01:32:35.331450Z"
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}
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"outputs": [],
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"source": [
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"<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/deckheatmap.png\" style=\"width:1000px\">"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## ScreenGridLayer"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-05-31T02:13:06.311971Z",
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"start_time": "2020-05-31T02:13:04.559616Z"
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}
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},
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"outputs": [],
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"source": [
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"\n",
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"import pydeck \n",
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"# Define a layer to display on a map\n",
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"layer = pydeck.Layer(\n",
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" 'ScreenGridLayer',\n",
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" Taxi_O_agg, #数据在此输入\n",
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" get_position=['SLng', 'SLat'], #指定经纬度的列\n",
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" getWeight = 'VehicleNum', #指定权重\n",
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" opacity = 1,\n",
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" cellSizePixels = 10,\n",
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" colorRange = [\n",
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" [255,255,204,25],\n",
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" [199,233,180,85],\n",
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" [127,205,187,127],\n",
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" [65,182,196,170],\n",
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" [44,127,184,190],\n",
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" [37,52,148,255]\n",
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" ],\n",
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" )\n",
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"\n",
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"# Set the viewport location\n",
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"view_state = pdk.ViewState(\n",
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" longitude=114.027465,\n",
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" latitude=22.632468,\n",
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" zoom=10,\n",
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" min_zoom=5,\n",
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" max_zoom=16,\n",
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" pitch=40,\n",
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" bearing=-10)\n",
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"\n",
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"# Render\n",
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"r = pdk.Deck(layers=[layer], \n",
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" initial_view_state=view_state,\n",
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" mapbox_key = mapbox_key,\n",
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" map_style = 'mapbox://styles/mapbox/dark-v9'\n",
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" )\n",
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"r.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/pydeckgrid.png\" style=\"width:1000px\">\n",
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"放大了也能看得比较清楚 \n",
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"<img src=\"https://gitee.com/ni1o1/pygeo-tutorial/raw/master/resource/pydeckgrid2.png\" style=\"width:1000px\">"
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]
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}
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],
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"metadata": {

‎resource/pydeckgrid.png‎

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‎resource/pydeckgrid2.png‎

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