diff --git a/Pedestrian_Data/Notebook/3-find-interesting-info.ipynb b/Pedestrian_Data/Notebook/3-find-interesting-info.ipynb
index 6ab3b18..0f0f24d 100644
--- a/Pedestrian_Data/Notebook/3-find-interesting-info.ipynb
+++ b/Pedestrian_Data/Notebook/3-find-interesting-info.ipynb
@@ -2,13 +2,14 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
+ "import matplotlib\n",
"import os\n",
"\n",
"try:\n",
@@ -18,12 +19,6 @@
"\n",
"refineddatafolder='../Data/2-refined-data/'\n",
"\n",
- "def geodataframefromcsvfile(filelocation:str) -> gpd.GeoDataFrame:\n",
- " return pd.read_csv(\n",
- " filelocation,\n",
- " parse_dates=['date_occ', 'date_rptd'],\n",
- " na_filter=False,\n",
- " )\n",
"signs = pd.read_csv(\n",
" refineddatafolder + 'refined-sign-data.csv',\n",
" parse_dates=['last_seen_at'],\n",
@@ -40,8 +35,10 @@
" na_filter=False,\n",
" )\n",
"councilshapes = gpd.read_file(\n",
- " '../Data/1-raw-data/neighborhoodcouncils.geojson'\n",
- " )\n"
+ " '../Data/1-raw-data/neighborhoodcouncils.geojson',\n",
+ ")\n",
+ "councilshapes.to_crs(epsg=\"5070\", inplace=True)\n",
+ "councilshapes.set_index('NAME', inplace=True)"
]
},
{
@@ -70,6 +67,1322 @@
"mocodenames = list(relevantmocodes.values())"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Data Examples\n",
+ "\n",
+ "To show people what sort of data we have to work with"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " dr_no | \n",
+ " date_rptd | \n",
+ " date_occ | \n",
+ " mocodes | \n",
+ " vict_age | \n",
+ " vict_sex | \n",
+ " premis_desc | \n",
+ " location | \n",
+ " cross_street | \n",
+ " :id | \n",
+ " Veh vs Ped | \n",
+ " Veh vs Bike | \n",
+ " Bike vs Veh | \n",
+ " Ped Actions | \n",
+ " latitude | \n",
+ " longitude | \n",
+ " geometry | \n",
+ " council | \n",
+ " cluster | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 20867 | \n",
+ " 150707804.0 | \n",
+ " 2015-03-30 | \n",
+ " 2015-03-29 22:40:00 | \n",
+ " 3003 3024 3035 3036 3101 3401 3701 4027 3029 | \n",
+ " 27.0 | \n",
+ " F | \n",
+ " STREET | \n",
+ " WILSHIRE | \n",
+ " JUNE | \n",
+ " row-fakq~93wr~utx2 | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0621 | \n",
+ " -118.3348 | \n",
+ " POINT (-118.3348 34.0621) | \n",
+ " GREATER WILSHIRE NC | \n",
+ " 999 | \n",
+ "
\n",
+ " \n",
+ " | 3702 | \n",
+ " 172011260.0 | \n",
+ " 2017-05-24 | \n",
+ " 2017-05-23 21:00:00 | \n",
+ " 3003 3026 3035 3037 3101 3401 3701 4020 | \n",
+ " 70.0 | \n",
+ " M | \n",
+ " STREET | \n",
+ " 6TH ST | \n",
+ " VAN NESS AV | \n",
+ " row-4ee4~83ah.y8mw | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0632 | \n",
+ " -118.3154 | \n",
+ " POINT (-118.3154 34.0632) | \n",
+ " GREATER WILSHIRE NC | \n",
+ " 2859 | \n",
+ "
\n",
+ " \n",
+ " | 3540 | \n",
+ " 120716287.0 | \n",
+ " 2012-10-12 | \n",
+ " 2012-10-12 21:45:00 | \n",
+ " 0110 3101 3401 3701 4007 3008 3025 3035 3037 | \n",
+ " 88.0 | \n",
+ " M | \n",
+ " STREET | \n",
+ " 3RD ST | \n",
+ " HUDSON AV | \n",
+ " row-4bf2-bku6.nsh2 | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0689 | \n",
+ " -118.3321 | \n",
+ " POINT (-118.3321 34.0689) | \n",
+ " GREATER WILSHIRE NC | \n",
+ " 2762 | \n",
+ "
\n",
+ " \n",
+ " | 1373 | \n",
+ " 150715134.0 | \n",
+ " 2015-09-24 | \n",
+ " 2015-09-24 07:00:00 | \n",
+ " 3003 3024 3034 3037 3101 3401 3701 4027 | \n",
+ " 32.0 | \n",
+ " M | \n",
+ " STREET | \n",
+ " BEVERLY BL | \n",
+ " DETROIT ST | \n",
+ " row-2wrb.uc38.kezb | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0726 | \n",
+ " -118.3393 | \n",
+ " POINT (-118.3393 34.0726) | \n",
+ " GREATER WILSHIRE NC | \n",
+ " 1223 | \n",
+ "
\n",
+ " \n",
+ " | 38335 | \n",
+ " 150712350.0 | \n",
+ " 2015-07-18 | \n",
+ " 2015-07-16 18:00:00 | \n",
+ " 3003 3026 3035 3037 3101 3401 3701 4007 | \n",
+ " 26.0 | \n",
+ " F | \n",
+ " STREET | \n",
+ " 8TH ST | \n",
+ " HIGHLAND AV | \n",
+ " row-sdmi~zk5s~q3rs | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0604 | \n",
+ " -118.3387 | \n",
+ " POINT (-118.3387 34.0604) | \n",
+ " GREATER WILSHIRE NC | \n",
+ " 7513 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " dr_no date_rptd date_occ \\\n",
+ "20867 150707804.0 2015-03-30 2015-03-29 22:40:00 \n",
+ "3702 172011260.0 2017-05-24 2017-05-23 21:00:00 \n",
+ "3540 120716287.0 2012-10-12 2012-10-12 21:45:00 \n",
+ "1373 150715134.0 2015-09-24 2015-09-24 07:00:00 \n",
+ "38335 150712350.0 2015-07-18 2015-07-16 18:00:00 \n",
+ "\n",
+ " mocodes vict_age vict_sex \\\n",
+ "20867 3003 3024 3035 3036 3101 3401 3701 4027 3029 27.0 F \n",
+ "3702 3003 3026 3035 3037 3101 3401 3701 4020 70.0 M \n",
+ "3540 0110 3101 3401 3701 4007 3008 3025 3035 3037 88.0 M \n",
+ "1373 3003 3024 3034 3037 3101 3401 3701 4027 32.0 M \n",
+ "38335 3003 3026 3035 3037 3101 3401 3701 4007 26.0 F \n",
+ "\n",
+ " premis_desc location \\\n",
+ "20867 STREET WILSHIRE \n",
+ "3702 STREET 6TH ST \n",
+ "3540 STREET 3RD ST \n",
+ "1373 STREET BEVERLY BL \n",
+ "38335 STREET 8TH ST \n",
+ "\n",
+ " cross_street :id Veh vs Ped \\\n",
+ "20867 JUNE row-fakq~93wr~utx2 True \n",
+ "3702 VAN NESS AV row-4ee4~83ah.y8mw True \n",
+ "3540 HUDSON AV row-4bf2-bku6.nsh2 False \n",
+ "1373 DETROIT ST row-2wrb.uc38.kezb True \n",
+ "38335 HIGHLAND AV row-sdmi~zk5s~q3rs True \n",
+ "\n",
+ " Veh vs Bike Bike vs Veh Ped Actions latitude longitude \\\n",
+ "20867 False False False 34.0621 -118.3348 \n",
+ "3702 False False False 34.0632 -118.3154 \n",
+ "3540 True False False 34.0689 -118.3321 \n",
+ "1373 False False False 34.0726 -118.3393 \n",
+ "38335 False False False 34.0604 -118.3387 \n",
+ "\n",
+ " geometry council cluster \n",
+ "20867 POINT (-118.3348 34.0621) GREATER WILSHIRE NC 999 \n",
+ "3702 POINT (-118.3154 34.0632) GREATER WILSHIRE NC 2859 \n",
+ "3540 POINT (-118.3321 34.0689) GREATER WILSHIRE NC 2762 \n",
+ "1373 POINT (-118.3393 34.0726) GREATER WILSHIRE NC 1223 \n",
+ "38335 POINT (-118.3387 34.0604) GREATER WILSHIRE NC 7513 "
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "collisions[collisions['council'] == 'GREATER WILSHIRE NC'].sample(n=5)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Some of these collisions either have no location data, are outside the city of LA, or fall in between the cracks of the neighborhood council boundaries in the shapefile. Filtering those out for a rough count...:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "collisionmap = gpd.read_file(\n",
+ " refineddatafolder + 'refined-collision-data.csv',\n",
+ " parse_dates=['date_occ', 'date_rptd'],\n",
+ " na_filter=False,\n",
+ " GEOM_POSSIBLE_NAMES=\"geometry\",\n",
+ " KEEP_GEOM_COLUMNS=\"NO\",\n",
+ " crs='EPSG:6423'\n",
+ ")\n",
+ "relevantcollisions = collisionmap[\n",
+ " (collisionmap['council'] != '') &\n",
+ " (collisionmap.geometry.apply(str) != 'POINT (0 0)')]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Total number of accidents in LA database (including some in neighboring cities): 50513\n",
+ "Total number we can identify inside neighborhood councils: 48939\n",
+ "Total within Greater Wilshire: 642\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " date_occ | \n",
+ " mocodes | \n",
+ " vict_age | \n",
+ " vict_sex | \n",
+ " Veh vs Ped | \n",
+ " Veh vs Bike | \n",
+ " Bike vs Veh | \n",
+ " Ped Actions | \n",
+ " latitude | \n",
+ " longitude | \n",
+ " council | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 8159 | \n",
+ " 2014-11-15 14:20:00 | \n",
+ " 3008 3036 3024 3101 3401 3701 4026 | \n",
+ " 23.0 | \n",
+ " M | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 34.1745 | \n",
+ " -118.5273 | \n",
+ " TARZANA NC | \n",
+ "
\n",
+ " \n",
+ " | 47755 | \n",
+ " 2014-02-15 18:10:00 | \n",
+ " 3003 3026 3034 3037 3101 3401 3701 4027 | \n",
+ " | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.1017 | \n",
+ " -118.3093 | \n",
+ " HOLLYWOOD STUDIO DISTRICT NC | \n",
+ "
\n",
+ " \n",
+ " | 29120 | \n",
+ " 2017-06-19 18:35:00 | \n",
+ " 3008 3026 3035 3037 3101 3401 3701 4007 | \n",
+ " 55.0 | \n",
+ " M | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0753 | \n",
+ " -118.3837 | \n",
+ " MID CITY WEST CC | \n",
+ "
\n",
+ " \n",
+ " | 47681 | \n",
+ " 2019-12-13 23:50:00 | \n",
+ " 4025 3036 3003 3025 3029 3101 | \n",
+ " 34.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0327 | \n",
+ " -118.3002 | \n",
+ " EMPOWERMENT CONGRESS NORTH AREA NDC | \n",
+ "
\n",
+ " \n",
+ " | 10824 | \n",
+ " 2012-06-13 13:00:00 | \n",
+ " 3003 3036 3026 3101 3401 3701 | \n",
+ " 21.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0444 | \n",
+ " -118.2628 | \n",
+ " DOWNTOWN LOS ANGELES | \n",
+ "
\n",
+ " \n",
+ " | 15051 | \n",
+ " 2013-06-11 14:45:00 | \n",
+ " 3003 3028 3101 | \n",
+ " 38.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 33.9611 | \n",
+ " -118.2827 | \n",
+ " EMPOWERMENT CONGRESS SOUTHEAST AREA NDC | \n",
+ "
\n",
+ " \n",
+ " | 26134 | \n",
+ " 2012-08-16 18:25:00 | \n",
+ " 0605 3008 3035 4008 3025 3036 3101 3401 3701 | \n",
+ " | \n",
+ " F | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 33.989 | \n",
+ " -118.4623 | \n",
+ " VENICE NC | \n",
+ "
\n",
+ " \n",
+ " | 1690 | \n",
+ " 2020-03-21 16:00:00 | \n",
+ " 3003 3037 3025 3102 4015 | \n",
+ " 34.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.1684 | \n",
+ " -118.3965 | \n",
+ " NC VALLEY VILLAGE | \n",
+ "
\n",
+ " \n",
+ " | 30749 | \n",
+ " 2018-11-17 14:55:00 | \n",
+ " 3037 3003 3024 3101 3401 3701 4027 3034 | \n",
+ " 71.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0482 | \n",
+ " -118.4354 | \n",
+ " WESTSIDE NC | \n",
+ "
\n",
+ " \n",
+ " | 41750 | \n",
+ " 2016-11-14 12:05:00 | \n",
+ " 3003 3025 3034 3037 3103 3401 3701 4027 | \n",
+ " 67.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0292 | \n",
+ " -118.4107 | \n",
+ " PALMS NC | \n",
+ "
\n",
+ " \n",
+ " | 16302 | \n",
+ " 2015-03-12 16:00:00 | \n",
+ " 1501 3003 3024 3102 3401 3701 3032 3037 4021 | \n",
+ " 25.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.159 | \n",
+ " -118.5119 | \n",
+ " ENCINO NC | \n",
+ "
\n",
+ " \n",
+ " | 29322 | \n",
+ " 2017-02-28 13:00:00 | \n",
+ " 3008 3025 3035 3037 3101 3401 3701 4014 | \n",
+ " | \n",
+ " M | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 33.9992 | \n",
+ " -118.472 | \n",
+ " VENICE NC | \n",
+ "
\n",
+ " \n",
+ " | 48893 | \n",
+ " 2012-06-26 20:20:00 | \n",
+ " 3024 3501 3003 3035 3037 3101 3401 3701 | \n",
+ " 20.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " True | \n",
+ " 34.2324 | \n",
+ " -118.4483 | \n",
+ " PANORAMA CITY NC | \n",
+ "
\n",
+ " \n",
+ " | 40492 | \n",
+ " 2012-12-11 18:20:00 | \n",
+ " 3101 3401 3701 3008 3025 | \n",
+ " | \n",
+ " M | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0826 | \n",
+ " -118.2728 | \n",
+ " SILVER LAKE NC | \n",
+ "
\n",
+ " \n",
+ " | 38112 | \n",
+ " 2014-05-17 00:45:00 | \n",
+ " 3003 3025 3029 3034 3037 3101 3401 3701 4027 | \n",
+ " 23.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.1016 | \n",
+ " -118.3333 | \n",
+ " HOLLYWOOD HILLS WEST NC | \n",
+ "
\n",
+ " \n",
+ " | 16227 | \n",
+ " 2019-07-19 17:20:00 | \n",
+ " 1501 3101 3401 3701 3003 3025 | \n",
+ " 63.0 | \n",
+ " F | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0623 | \n",
+ " -118.2383 | \n",
+ " HISTORIC CULTURAL NORTH NC | \n",
+ "
\n",
+ " \n",
+ " | 19361 | \n",
+ " 2012-04-02 15:00:00 | \n",
+ " 0605 3003 3101 3401 3701 3036 3025 | \n",
+ " 23.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.0763 | \n",
+ " -118.2164 | \n",
+ " LINCOLN HEIGHTS NC | \n",
+ "
\n",
+ " \n",
+ " | 11926 | \n",
+ " 2014-04-03 18:05:00 | \n",
+ " 3004 3029 3026 3035 3037 3101 3501 3701 4006 | \n",
+ " 31.0 | \n",
+ " F | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " True | \n",
+ " 34.1016 | \n",
+ " -118.3267 | \n",
+ " CENTRAL HOLLYWOOD NC | \n",
+ "
\n",
+ " \n",
+ " | 29379 | \n",
+ " 2019-11-07 07:30:00 | \n",
+ " 3101 3401 3701 3016 3030 | \n",
+ " 27.0 | \n",
+ " F | \n",
+ " False | \n",
+ " False | \n",
+ " True | \n",
+ " False | \n",
+ " 34.0836 | \n",
+ " -118.2917 | \n",
+ " EAST HOLLYWOOD NC | \n",
+ "
\n",
+ " \n",
+ " | 15127 | \n",
+ " 2019-07-05 11:20:00 | \n",
+ " 3101 3401 3701 3003 3026 | \n",
+ " 43.0 | \n",
+ " M | \n",
+ " True | \n",
+ " False | \n",
+ " False | \n",
+ " False | \n",
+ " 34.022 | \n",
+ " -118.2159 | \n",
+ " BOYLE HEIGHTS NC | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " date_occ mocodes \\\n",
+ "8159 2014-11-15 14:20:00 3008 3036 3024 3101 3401 3701 4026 \n",
+ "47755 2014-02-15 18:10:00 3003 3026 3034 3037 3101 3401 3701 4027 \n",
+ "29120 2017-06-19 18:35:00 3008 3026 3035 3037 3101 3401 3701 4007 \n",
+ "47681 2019-12-13 23:50:00 4025 3036 3003 3025 3029 3101 \n",
+ "10824 2012-06-13 13:00:00 3003 3036 3026 3101 3401 3701 \n",
+ "15051 2013-06-11 14:45:00 3003 3028 3101 \n",
+ "26134 2012-08-16 18:25:00 0605 3008 3035 4008 3025 3036 3101 3401 3701 \n",
+ "1690 2020-03-21 16:00:00 3003 3037 3025 3102 4015 \n",
+ "30749 2018-11-17 14:55:00 3037 3003 3024 3101 3401 3701 4027 3034 \n",
+ "41750 2016-11-14 12:05:00 3003 3025 3034 3037 3103 3401 3701 4027 \n",
+ "16302 2015-03-12 16:00:00 1501 3003 3024 3102 3401 3701 3032 3037 4021 \n",
+ "29322 2017-02-28 13:00:00 3008 3025 3035 3037 3101 3401 3701 4014 \n",
+ "48893 2012-06-26 20:20:00 3024 3501 3003 3035 3037 3101 3401 3701 \n",
+ "40492 2012-12-11 18:20:00 3101 3401 3701 3008 3025 \n",
+ "38112 2014-05-17 00:45:00 3003 3025 3029 3034 3037 3101 3401 3701 4027 \n",
+ "16227 2019-07-19 17:20:00 1501 3101 3401 3701 3003 3025 \n",
+ "19361 2012-04-02 15:00:00 0605 3003 3101 3401 3701 3036 3025 \n",
+ "11926 2014-04-03 18:05:00 3004 3029 3026 3035 3037 3101 3501 3701 4006 \n",
+ "29379 2019-11-07 07:30:00 3101 3401 3701 3016 3030 \n",
+ "15127 2019-07-05 11:20:00 3101 3401 3701 3003 3026 \n",
+ "\n",
+ " vict_age vict_sex Veh vs Ped Veh vs Bike Bike vs Veh Ped Actions \\\n",
+ "8159 23.0 M False True False False \n",
+ "47755 M True False False False \n",
+ "29120 55.0 M False True False False \n",
+ "47681 34.0 M True False False False \n",
+ "10824 21.0 F True False False False \n",
+ "15051 38.0 F True False False False \n",
+ "26134 F False True False False \n",
+ "1690 34.0 M True False False False \n",
+ "30749 71.0 F True False False False \n",
+ "41750 67.0 M True False False False \n",
+ "16302 25.0 F True False False False \n",
+ "29322 M False True False False \n",
+ "48893 20.0 M True False False True \n",
+ "40492 M False True False False \n",
+ "38112 23.0 F True False False False \n",
+ "16227 63.0 F True False False False \n",
+ "19361 23.0 M True False False False \n",
+ "11926 31.0 F False False False True \n",
+ "29379 27.0 F False False True False \n",
+ "15127 43.0 M True False False False \n",
+ "\n",
+ " latitude longitude council \n",
+ "8159 34.1745 -118.5273 TARZANA NC \n",
+ "47755 34.1017 -118.3093 HOLLYWOOD STUDIO DISTRICT NC \n",
+ "29120 34.0753 -118.3837 MID CITY WEST CC \n",
+ "47681 34.0327 -118.3002 EMPOWERMENT CONGRESS NORTH AREA NDC \n",
+ "10824 34.0444 -118.2628 DOWNTOWN LOS ANGELES \n",
+ "15051 33.9611 -118.2827 EMPOWERMENT CONGRESS SOUTHEAST AREA NDC \n",
+ "26134 33.989 -118.4623 VENICE NC \n",
+ "1690 34.1684 -118.3965 NC VALLEY VILLAGE \n",
+ "30749 34.0482 -118.4354 WESTSIDE NC \n",
+ "41750 34.0292 -118.4107 PALMS NC \n",
+ "16302 34.159 -118.5119 ENCINO NC \n",
+ "29322 33.9992 -118.472 VENICE NC \n",
+ "48893 34.2324 -118.4483 PANORAMA CITY NC \n",
+ "40492 34.0826 -118.2728 SILVER LAKE NC \n",
+ "38112 34.1016 -118.3333 HOLLYWOOD HILLS WEST NC \n",
+ "16227 34.0623 -118.2383 HISTORIC CULTURAL NORTH NC \n",
+ "19361 34.0763 -118.2164 LINCOLN HEIGHTS NC \n",
+ "11926 34.1016 -118.3267 CENTRAL HOLLYWOOD NC \n",
+ "29379 34.0836 -118.2917 EAST HOLLYWOOD NC \n",
+ "15127 34.022 -118.2159 BOYLE HEIGHTS NC "
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "print(\"Total number of accidents in LA database (including some in neighboring cities):\", len(collisions))\n",
+ "print(\"Total number we can identify inside neighborhood councils:\", len(relevantcollisions))\n",
+ "print(\"Total within Greater Wilshire:\", len(collisions[collisions['council'] == 'GREATER WILSHIRE NC']))\n",
+ "\n",
+ "sampleofcollisiondata = relevantcollisions[[\n",
+ " 'date_occ', 'mocodes', 'vict_age', 'vict_sex', 'Veh vs Ped', 'Veh vs Bike',\n",
+ " 'Bike vs Veh', 'Ped Actions', 'latitude', 'longitude', 'council'\n",
+ "]].sample(n=20, random_state=615)\n",
+ "\n",
+ "sampleofcollisiondata"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Figure out the numbers per council, and sort and label them for a graph."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Total Collisions | \n",
+ " Square Miles | \n",
+ " Collisions per Square Mile | \n",
+ " shortcouncilname | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | BEL AIR-BEVERLY CREST NC | \n",
+ " 78 | \n",
+ " 16.984125 | \n",
+ " 4.592524 | \n",
+ " BEL AIR-BEVERLY CREST NC | \n",
+ "
\n",
+ " \n",
+ " | FOOTHILL TRAILS DISTRICT NC | \n",
+ " 108 | \n",
+ " 19.593394 | \n",
+ " 5.512062 | \n",
+ " FOOTHILL TRAILS DISTRICT NC | \n",
+ "
\n",
+ " \n",
+ " | GRANADA HILLS NORTH NC | \n",
+ " 69 | \n",
+ " 11.581865 | \n",
+ " 5.957590 | \n",
+ " GRANADA HILLS NORTH NC | \n",
+ "
\n",
+ " \n",
+ " | PORTER RANCH NC | \n",
+ " 49 | \n",
+ " 5.716952 | \n",
+ " 8.571001 | \n",
+ " PORTER RANCH NC | \n",
+ "
\n",
+ " \n",
+ " | SUNLAND-TUJUNGA NC | \n",
+ " 194 | \n",
+ " 11.996960 | \n",
+ " 16.170764 | \n",
+ " SUNLAND-TUJUNGA NC | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | CENTRAL HOLLYWOOD NC | \n",
+ " 789 | \n",
+ " 1.216118 | \n",
+ " 648.785704 | \n",
+ " CENTRAL HOLLYWOOD NC | \n",
+ "
\n",
+ " \n",
+ " | DOWNTOWN LOS ANGELES | \n",
+ " 3500 | \n",
+ " 5.037419 | \n",
+ " 694.800314 | \n",
+ " DOWNTOWN LOS ANGELES | \n",
+ "
\n",
+ " \n",
+ " | WILSHIRE CENTER - KOREATOWN NC | \n",
+ " 1838 | \n",
+ " 2.406258 | \n",
+ " 763.841584 | \n",
+ " WILSHIRE CENTER - KOREATOWN NC | \n",
+ "
\n",
+ " \n",
+ " | MACARTHUR PARK NC | \n",
+ " 590 | \n",
+ " 0.634803 | \n",
+ " 929.421902 | \n",
+ " MACARTHUR PARK NC | \n",
+ "
\n",
+ " \n",
+ " | WESTLAKE SOUTH NC | \n",
+ " 587 | \n",
+ " 0.545602 | \n",
+ " 1075.876517 | \n",
+ " WESTLAKE SOUTH NC | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
99 rows × 4 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Total Collisions Square Miles \\\n",
+ "BEL AIR-BEVERLY CREST NC 78 16.984125 \n",
+ "FOOTHILL TRAILS DISTRICT NC 108 19.593394 \n",
+ "GRANADA HILLS NORTH NC 69 11.581865 \n",
+ "PORTER RANCH NC 49 5.716952 \n",
+ "SUNLAND-TUJUNGA NC 194 11.996960 \n",
+ "... ... ... \n",
+ "CENTRAL HOLLYWOOD NC 789 1.216118 \n",
+ "DOWNTOWN LOS ANGELES 3500 5.037419 \n",
+ "WILSHIRE CENTER - KOREATOWN NC 1838 2.406258 \n",
+ "MACARTHUR PARK NC 590 0.634803 \n",
+ "WESTLAKE SOUTH NC 587 0.545602 \n",
+ "\n",
+ " Collisions per Square Mile \\\n",
+ "BEL AIR-BEVERLY CREST NC 4.592524 \n",
+ "FOOTHILL TRAILS DISTRICT NC 5.512062 \n",
+ "GRANADA HILLS NORTH NC 5.957590 \n",
+ "PORTER RANCH NC 8.571001 \n",
+ "SUNLAND-TUJUNGA NC 16.170764 \n",
+ "... ... \n",
+ "CENTRAL HOLLYWOOD NC 648.785704 \n",
+ "DOWNTOWN LOS ANGELES 694.800314 \n",
+ "WILSHIRE CENTER - KOREATOWN NC 763.841584 \n",
+ "MACARTHUR PARK NC 929.421902 \n",
+ "WESTLAKE SOUTH NC 1075.876517 \n",
+ "\n",
+ " shortcouncilname \n",
+ "BEL AIR-BEVERLY CREST NC BEL AIR-BEVERLY CREST NC \n",
+ "FOOTHILL TRAILS DISTRICT NC FOOTHILL TRAILS DISTRICT NC \n",
+ "GRANADA HILLS NORTH NC GRANADA HILLS NORTH NC \n",
+ "PORTER RANCH NC PORTER RANCH NC \n",
+ "SUNLAND-TUJUNGA NC SUNLAND-TUJUNGA NC \n",
+ "... ... \n",
+ "CENTRAL HOLLYWOOD NC CENTRAL HOLLYWOOD NC \n",
+ "DOWNTOWN LOS ANGELES DOWNTOWN LOS ANGELES \n",
+ "WILSHIRE CENTER - KOREATOWN NC WILSHIRE CENTER - KOREATOWN NC \n",
+ "MACARTHUR PARK NC MACARTHUR PARK NC \n",
+ "WESTLAKE SOUTH NC WESTLAKE SOUTH NC \n",
+ "\n",
+ "[99 rows x 4 columns]"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "totalsbycouncil = relevantcollisions['council'].value_counts()\n",
+ "\n",
+ "squaremeterspersquaremiles = 2589988.1\n",
+ "squaremilesofcouncils = councilshapes.area / squaremeterspersquaremiles\n",
+ "collisionspersquaremile = totalsbycouncil / squaremilesofcouncils\n",
+ "\n",
+ "councilcomparisons = pd.DataFrame({\n",
+ " 'Total Collisions': totalsbycouncil,\n",
+ " 'Square Miles': squaremilesofcouncils,\n",
+ " 'Collisions per Square Mile': collisionspersquaremile\n",
+ "})\n",
+ "\n",
+ "maxlabellength = 30\n",
+ "councilcomparisons['shortcouncilname'] = councilcomparisons.index.to_series().apply(\n",
+ " lambda txt: txt if len(txt) <= maxlabellength else txt[:maxlabellength] + '…'\n",
+ ")\n",
+ "\n",
+ "councilcomparisons.sort_values(by='Collisions per Square Mile', inplace=True)\n",
+ "\n",
+ "councilcomparisons\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 95,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# consisten region colors\n",
+ "colorwilshire = 'LimeGreen'\n",
+ "colornearby = 'DodgerBlue'\n",
+ "colorothers = 'LightSkyBlue'\n",
+ "\n",
+ "\n",
+ "def wilshirecolormap(pdseries):\n",
+ " return [\n",
+ " colorwilshire if council == \"GREATER WILSHIRE NC\" else\n",
+ " colornearby if council in nearbycouncils else colorothers\n",
+ " for council in pdseries\n",
+ " ]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 116,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, [axtop,\n",
+ " axbottom] = plt.subplots(nrows=2, figsize=(20, 12), dpi=72, sharex='col')\n",
+ "fig.tight_layout(h_pad=17)\n",
+ "plotformat = {\n",
+ " 'color': wilshirecolormap(councilcomparisons.index),\n",
+ " 'width': 1,\n",
+ " 'legend': None\n",
+ "}\n",
+ "councilcomparisons.plot.bar(\n",
+ " 'shortcouncilname',\n",
+ " 'Total Collisions',\n",
+ " ax=axtop,\n",
+ " ylabel='Total Collisions',\n",
+ " **plotformat\n",
+ ")\n",
+ "councilcomparisons.plot.bar(\n",
+ " 'shortcouncilname',\n",
+ " 'Collisions per Square Mile',\n",
+ " ax=axbottom,\n",
+ " ylabel='Collisions per Square Mile',\n",
+ " **plotformat\n",
+ ")\n",
+ "\n",
+ "axbottom.tick_params(\n",
+ " labelsize=8, labeltop=True, labelbottom=False, labelrotation=90\n",
+ ")\n",
+ "\n",
+ "for ax in [axtop, axbottom]:\n",
+ " ax.yaxis.label.set_size(36)\n",
+ " ax.margins(x=0)\n",
+ " ax.minorticks_on()\n",
+ " ax.set_facecolor('WhiteSmoke')\n",
+ " ax.xaxis.set_minor_locator(matplotlib.ticker.AutoMinorLocator(2))\n",
+ " ax.tick_params(length=0)\n",
+ " ax.tick_params(axis='x', which='minor', grid_color='white', grid_linewidth=3)\n",
+ " ax.grid(True, axis='x', which='minor')\n",
+ " ax.set(xlabel=None)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 128,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "coloredmap = councilshapes.to_crs(epsg='6423').plot(color=wilshirecolormap(councilshapes.index), figsize=(8,8))\n",
+ "\n",
+ "coloredmap.get_figure().set_dpi(150)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 97,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " OBJECTID | \n",
+ " WADDRESS | \n",
+ " DWEBSITE | \n",
+ " DEMAIL | \n",
+ " DPHONE | \n",
+ " NC_ID | \n",
+ " CERTIFIED | \n",
+ " TOOLTIP | \n",
+ " NLA_URL | \n",
+ " SERVICE_RE | \n",
+ " geometry | \n",
+ "
\n",
+ " \n",
+ " | NAME | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | ARLETA NC | \n",
+ " 1 | \n",
+ " http://www.arletanc.org/ | \n",
+ " http://empowerla.org/ANC | \n",
+ " ANC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 6 | \n",
+ " 2002-10-22T00:00:00+00:00 | \n",
+ " ARLETA NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=6 | \n",
+ " REGION 1 - NORTH EAST VALLEY | \n",
+ " POLYGON ((-2032901.721 1484154.555, -2032789.3... | \n",
+ "
\n",
+ " \n",
+ " | ARROYO SECO NC | \n",
+ " 2 | \n",
+ " http://www.asnc.us/ | \n",
+ " http://empowerla.org/ASNC | \n",
+ " ASNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 42 | \n",
+ " 2002-10-02T00:00:00+00:00 | \n",
+ " ARROYO SECO NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=42 | \n",
+ " REGION 8 - NORTH EAST LA | \n",
+ " POLYGON ((-2016523.692 1463452.474, -2016647.6... | \n",
+ "
\n",
+ " \n",
+ " | ATWATER VILLAGE NC | \n",
+ " 3 | \n",
+ " http://www.atwatervillage.org/ | \n",
+ " http://empowerla.org/AVNC | \n",
+ " AVNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 37 | \n",
+ " 2003-02-11T00:00:00+00:00 | \n",
+ " ATWATER VILLAGE NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=37 | \n",
+ " REGION 7 - EAST | \n",
+ " POLYGON ((-2019906.510 1469985.927, -2020291.8... | \n",
+ "
\n",
+ " \n",
+ " | BEL AIR-BEVERLY CREST NC | \n",
+ " 4 | \n",
+ " http://babcnc.org/ | \n",
+ " http://empowerla.org/BABCNC | \n",
+ " BABCNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 64 | \n",
+ " 2002-10-08T00:00:00+00:00 | \n",
+ " BEL AIR-BEVERLY CREST NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=64 | \n",
+ " REGION 11 - WEST LA | \n",
+ " POLYGON ((-2038342.125 1471256.262, -2038411.9... | \n",
+ "
\n",
+ " \n",
+ " | BOYLE HEIGHTS NC | \n",
+ " 5 | \n",
+ " http://bhnc.net/ | \n",
+ " http://empowerla.org/BHNC | \n",
+ " BHNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 50 | \n",
+ " 2002-05-21T00:00:00+00:00 | \n",
+ " BOYLE HEIGHTS NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=50 | \n",
+ " REGION 8 - NORTH EAST LA | \n",
+ " POLYGON ((-2016855.550 1458556.797, -2017125.1... | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | WILMINGTON NC | \n",
+ " 95 | \n",
+ " http://www.wilmingtonneighborhoodcouncil.com/ | \n",
+ " http://empowerla.org/WILMINGTON | \n",
+ " WilmingtonNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 93 | \n",
+ " 2001-12-11T00:00:00+00:00 | \n",
+ " WILMINGTON NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=93 | \n",
+ " REGION 12 - HARBOR | \n",
+ " POLYGON ((-2029783.517 1431496.741, -2029839.8... | \n",
+ "
\n",
+ " \n",
+ " | WILSHIRE CENTER - KOREATOWN NC | \n",
+ " 96 | \n",
+ " http://wcknc.org/ | \n",
+ " http://empowerla.org/WCKNC | \n",
+ " WCKNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 55 | \n",
+ " 2003-08-05T00:00:00+00:00 | \n",
+ " WILSHIRE CENTER - KOREATOWN NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=55 | \n",
+ " REGION 6 - CENTRAL 2 | \n",
+ " POLYGON ((-2023237.907 1462324.733, -2023770.0... | \n",
+ "
\n",
+ " \n",
+ " | WINNETKA NC | \n",
+ " 97 | \n",
+ " http://www.winnetkanc.com/ | \n",
+ " http://empowerla.org/WINNETKA | \n",
+ " WinnetkaNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 14 | \n",
+ " 2003-07-22T00:00:00+00:00 | \n",
+ " WINNETKA NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=14 | \n",
+ " REGION 3 - SOUTH WEST VALLEY | \n",
+ " POLYGON ((-2045586.406 1485556.487, -2046674.5... | \n",
+ "
\n",
+ " \n",
+ " | WOODLAND HILLS-WARNER CENTER NC | \n",
+ " 98 | \n",
+ " http://www.whcouncil.org/index.php | \n",
+ " http://empowerla.org/WHWCNC | \n",
+ " WHWCNC@EmpowerLA.org | \n",
+ " 213-978-1551 | \n",
+ " 16 | \n",
+ " 2002-03-06T00:00:00+00:00 | \n",
+ " WOODLAND HILLS-WARNER CENTER NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=16 | \n",
+ " REGION 3 - SOUTH WEST VALLEY | \n",
+ " POLYGON ((-2044885.317 1478214.725, -2044434.5... | \n",
+ "
\n",
+ " \n",
+ " | ZAPATA KING NC | \n",
+ " 99 | \n",
+ " http://www.zapatakingnc.org/ | \n",
+ " http://empowerla.org/ZKNC | \n",
+ " | \n",
+ " 213-978-1551 | \n",
+ " 125 | \n",
+ " 2015-02-03T00:00:00+00:00 | \n",
+ " ZAPATA KING NC | \n",
+ " navigatela/reports/nc_reports.cfm?id=125 | \n",
+ " REGION 9 - SOUTH LA 2 | \n",
+ " POLYGON ((-2024079.386 1454586.697, -2024225.0... | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
99 rows × 11 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " OBJECTID \\\n",
+ "NAME \n",
+ "ARLETA NC 1 \n",
+ "ARROYO SECO NC 2 \n",
+ "ATWATER VILLAGE NC 3 \n",
+ "BEL AIR-BEVERLY CREST NC 4 \n",
+ "BOYLE HEIGHTS NC 5 \n",
+ "... ... \n",
+ "WILMINGTON NC 95 \n",
+ "WILSHIRE CENTER - KOREATOWN NC 96 \n",
+ "WINNETKA NC 97 \n",
+ "WOODLAND HILLS-WARNER CENTER NC 98 \n",
+ "ZAPATA KING NC 99 \n",
+ "\n",
+ " WADDRESS \\\n",
+ "NAME \n",
+ "ARLETA NC http://www.arletanc.org/ \n",
+ "ARROYO SECO NC http://www.asnc.us/ \n",
+ "ATWATER VILLAGE NC http://www.atwatervillage.org/ \n",
+ "BEL AIR-BEVERLY CREST NC http://babcnc.org/ \n",
+ "BOYLE HEIGHTS NC http://bhnc.net/ \n",
+ "... ... \n",
+ "WILMINGTON NC http://www.wilmingtonneighborhoodcouncil.com/ \n",
+ "WILSHIRE CENTER - KOREATOWN NC http://wcknc.org/ \n",
+ "WINNETKA NC http://www.winnetkanc.com/ \n",
+ "WOODLAND HILLS-WARNER CENTER NC http://www.whcouncil.org/index.php \n",
+ "ZAPATA KING NC http://www.zapatakingnc.org/ \n",
+ "\n",
+ " DWEBSITE \\\n",
+ "NAME \n",
+ "ARLETA NC http://empowerla.org/ANC \n",
+ "ARROYO SECO NC http://empowerla.org/ASNC \n",
+ "ATWATER VILLAGE NC http://empowerla.org/AVNC \n",
+ "BEL AIR-BEVERLY CREST NC http://empowerla.org/BABCNC \n",
+ "BOYLE HEIGHTS NC http://empowerla.org/BHNC \n",
+ "... ... \n",
+ "WILMINGTON NC http://empowerla.org/WILMINGTON \n",
+ "WILSHIRE CENTER - KOREATOWN NC http://empowerla.org/WCKNC \n",
+ "WINNETKA NC http://empowerla.org/WINNETKA \n",
+ "WOODLAND HILLS-WARNER CENTER NC http://empowerla.org/WHWCNC \n",
+ "ZAPATA KING NC http://empowerla.org/ZKNC \n",
+ "\n",
+ " DEMAIL DPHONE \\\n",
+ "NAME \n",
+ "ARLETA NC ANC@EmpowerLA.org 213-978-1551 \n",
+ "ARROYO SECO NC ASNC@EmpowerLA.org 213-978-1551 \n",
+ "ATWATER VILLAGE NC AVNC@EmpowerLA.org 213-978-1551 \n",
+ "BEL AIR-BEVERLY CREST NC BABCNC@EmpowerLA.org 213-978-1551 \n",
+ "BOYLE HEIGHTS NC BHNC@EmpowerLA.org 213-978-1551 \n",
+ "... ... ... \n",
+ "WILMINGTON NC WilmingtonNC@EmpowerLA.org 213-978-1551 \n",
+ "WILSHIRE CENTER - KOREATOWN NC WCKNC@EmpowerLA.org 213-978-1551 \n",
+ "WINNETKA NC WinnetkaNC@EmpowerLA.org 213-978-1551 \n",
+ "WOODLAND HILLS-WARNER CENTER NC WHWCNC@EmpowerLA.org 213-978-1551 \n",
+ "ZAPATA KING NC 213-978-1551 \n",
+ "\n",
+ " NC_ID CERTIFIED \\\n",
+ "NAME \n",
+ "ARLETA NC 6 2002-10-22T00:00:00+00:00 \n",
+ "ARROYO SECO NC 42 2002-10-02T00:00:00+00:00 \n",
+ "ATWATER VILLAGE NC 37 2003-02-11T00:00:00+00:00 \n",
+ "BEL AIR-BEVERLY CREST NC 64 2002-10-08T00:00:00+00:00 \n",
+ "BOYLE HEIGHTS NC 50 2002-05-21T00:00:00+00:00 \n",
+ "... ... ... \n",
+ "WILMINGTON NC 93 2001-12-11T00:00:00+00:00 \n",
+ "WILSHIRE CENTER - KOREATOWN NC 55 2003-08-05T00:00:00+00:00 \n",
+ "WINNETKA NC 14 2003-07-22T00:00:00+00:00 \n",
+ "WOODLAND HILLS-WARNER CENTER NC 16 2002-03-06T00:00:00+00:00 \n",
+ "ZAPATA KING NC 125 2015-02-03T00:00:00+00:00 \n",
+ "\n",
+ " TOOLTIP \\\n",
+ "NAME \n",
+ "ARLETA NC ARLETA NC \n",
+ "ARROYO SECO NC ARROYO SECO NC \n",
+ "ATWATER VILLAGE NC ATWATER VILLAGE NC \n",
+ "BEL AIR-BEVERLY CREST NC BEL AIR-BEVERLY CREST NC \n",
+ "BOYLE HEIGHTS NC BOYLE HEIGHTS NC \n",
+ "... ... \n",
+ "WILMINGTON NC WILMINGTON NC \n",
+ "WILSHIRE CENTER - KOREATOWN NC WILSHIRE CENTER - KOREATOWN NC \n",
+ "WINNETKA NC WINNETKA NC \n",
+ "WOODLAND HILLS-WARNER CENTER NC WOODLAND HILLS-WARNER CENTER NC \n",
+ "ZAPATA KING NC ZAPATA KING NC \n",
+ "\n",
+ " NLA_URL \\\n",
+ "NAME \n",
+ "ARLETA NC navigatela/reports/nc_reports.cfm?id=6 \n",
+ "ARROYO SECO NC navigatela/reports/nc_reports.cfm?id=42 \n",
+ "ATWATER VILLAGE NC navigatela/reports/nc_reports.cfm?id=37 \n",
+ "BEL AIR-BEVERLY CREST NC navigatela/reports/nc_reports.cfm?id=64 \n",
+ "BOYLE HEIGHTS NC navigatela/reports/nc_reports.cfm?id=50 \n",
+ "... ... \n",
+ "WILMINGTON NC navigatela/reports/nc_reports.cfm?id=93 \n",
+ "WILSHIRE CENTER - KOREATOWN NC navigatela/reports/nc_reports.cfm?id=55 \n",
+ "WINNETKA NC navigatela/reports/nc_reports.cfm?id=14 \n",
+ "WOODLAND HILLS-WARNER CENTER NC navigatela/reports/nc_reports.cfm?id=16 \n",
+ "ZAPATA KING NC navigatela/reports/nc_reports.cfm?id=125 \n",
+ "\n",
+ " SERVICE_RE \\\n",
+ "NAME \n",
+ "ARLETA NC REGION 1 - NORTH EAST VALLEY \n",
+ "ARROYO SECO NC REGION 8 - NORTH EAST LA \n",
+ "ATWATER VILLAGE NC REGION 7 - EAST \n",
+ "BEL AIR-BEVERLY CREST NC REGION 11 - WEST LA \n",
+ "BOYLE HEIGHTS NC REGION 8 - NORTH EAST LA \n",
+ "... ... \n",
+ "WILMINGTON NC REGION 12 - HARBOR \n",
+ "WILSHIRE CENTER - KOREATOWN NC REGION 6 - CENTRAL 2 \n",
+ "WINNETKA NC REGION 3 - SOUTH WEST VALLEY \n",
+ "WOODLAND HILLS-WARNER CENTER NC REGION 3 - SOUTH WEST VALLEY \n",
+ "ZAPATA KING NC REGION 9 - SOUTH LA 2 \n",
+ "\n",
+ " geometry \n",
+ "NAME \n",
+ "ARLETA NC POLYGON ((-2032901.721 1484154.555, -2032789.3... \n",
+ "ARROYO SECO NC POLYGON ((-2016523.692 1463452.474, -2016647.6... \n",
+ "ATWATER VILLAGE NC POLYGON ((-2019906.510 1469985.927, -2020291.8... \n",
+ "BEL AIR-BEVERLY CREST NC POLYGON ((-2038342.125 1471256.262, -2038411.9... \n",
+ "BOYLE HEIGHTS NC POLYGON ((-2016855.550 1458556.797, -2017125.1... \n",
+ "... ... \n",
+ "WILMINGTON NC POLYGON ((-2029783.517 1431496.741, -2029839.8... \n",
+ "WILSHIRE CENTER - KOREATOWN NC POLYGON ((-2023237.907 1462324.733, -2023770.0... \n",
+ "WINNETKA NC POLYGON ((-2045586.406 1485556.487, -2046674.5... \n",
+ "WOODLAND HILLS-WARNER CENTER NC POLYGON ((-2044885.317 1478214.725, -2044434.5... \n",
+ "ZAPATA KING NC POLYGON ((-2024079.386 1454586.697, -2024225.0... \n",
+ "\n",
+ "[99 rows x 11 columns]"
+ ]
+ },
+ "execution_count": 97,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "councilshapes"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -80,7 +1393,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -97,7 +1410,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
@@ -117,7 +1430,7 @@
" Text(0, 0, '16')]"
]
},
- "execution_count": 4,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
@@ -154,7 +1467,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
@@ -163,7 +1476,7 @@
"(1.5, 11.5)"
]
},
- "execution_count": 5,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
@@ -199,36 +1512,24 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "(1.5, 11.5)"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
+ "ename": "AttributeError",
+ "evalue": "'GeoDataFrame' object has no attribute 'NAME'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m/var/folders/rn/pfw73dbd6t79bgr4__79n7bh0000gq/T/ipykernel_53670/596797064.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mncyearlyadjusted\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0myearlycollisions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'council'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mnc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mncyearlyadjusted\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcouncilshapes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNAME\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mncyearlyadjusted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnc\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mncyearlyadjusted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnc\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mcouncilshapes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'sf'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/Documents/Work/Hack for LA/Pedestrian Safety data exploration/pedvenv/lib/python3.9/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 5463\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5464\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5465\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5466\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5467\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mAttributeError\u001b[0m: 'GeoDataFrame' object has no attribute 'NAME'"
+ ]
}
],
"source": [
"# Convert to map projection for LA County to calculate areas\n",
- "councilshapes.to_crs(epsg=6423, inplace=True)\n",
- "councilshapes.set_index(councilshapes.NAME, inplace=True)\n",
"councilshapes['square meters'] = councilshapes.area\n",
"councilshapes['sf'] = councilshapes['square meters'].multiply(10.76391)\n",
"\n",
@@ -257,7 +1558,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
@@ -266,7 +1567,7 @@
""
]
},
- "execution_count": 7,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
@@ -323,7 +1624,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -349,7 +1650,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -365,19 +1666,19 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
- "Make this Notebook Trusted to load map: File -> Trust Notebook
"
+ "Make this Notebook Trusted to load map: File -> Trust Notebook
"
],
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 10,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -414,11 +1715,53 @@
"\n",
"wilshiremap\n"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Notes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Some of the collision data fell on the border between two districts, and the shapefile join didn't pick up on them. Not that important for this analysis but might be an issue in other neighborhoods."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "unrecognizedplaces = collisionmap[\n",
+ " (collisionmap['council'] == '') &\n",
+ " (collisionmap.geometry.apply(str) != 'POINT (0 0)')]\n",
+ "\n",
+ "ax = councilshapes.plot(figsize=(24, 24))\n",
+ "overlay = unrecognizedplaces.plot(ax=ax, color='HotPink')\n"
+ ]
}
],
"metadata": {
"interpreter": {
- "hash": "021c0ff7babdd78dcf1d264e8c76199d3d723a312b5a0fe9bc60f5394c2d1ecd"
+ "hash": "1979921737b3ad443edf7ab189d55349816fee7941c8a98adaede96817daa87f"
},
"kernelspec": {
"display_name": "Python 3.8.1 64-bit ('pedvenv': venv)",
@@ -434,7 +1777,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.1"
+ "version": "3.9.6"
},
"orig_nbformat": 2
},
diff --git a/Pedestrian_Data/Report/Pedestrian Safety - Greater Wilshire.pptx b/Pedestrian_Data/Report/Pedestrian Safety - Greater Wilshire.pptx
deleted file mode 100644
index 8869e44..0000000
Binary files a/Pedestrian_Data/Report/Pedestrian Safety - Greater Wilshire.pptx and /dev/null differ
diff --git a/Pedestrian_Data/Report/report-location.md b/Pedestrian_Data/Report/report-location.md
new file mode 100644
index 0000000..e752f14
--- /dev/null
+++ b/Pedestrian_Data/Report/report-location.md
@@ -0,0 +1,2 @@
+Pedestrian safety presentation report has been moved to Hack for LA's shared google drive. Find it at: [`Data Science (community of practice) / Pedestrian_Data / Report / Pedestrian Safety Analysis Presentation`](https://drive.google.com/drive/u/0/folders/1TeUQlK8zkm0Hu1aWyQHAcd0nPceckUWj).
+