method chain & func added
This commit is contained in:
almsam
parent
cf131c39bb
commit
c18048c125
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@ -875,7 +875,7 @@
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 77,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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@ -1080,7 +1080,7 @@
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"[5 rows x 29 columns]"
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"[5 rows x 29 columns]"
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]
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"execution_count": 9,
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"execution_count": 77,
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"metadata": {},
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "execute_result"
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@ -1096,47 +1096,37 @@
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 82,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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" zip pride parade index gay bars index ZIP \\\n",
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" pride parade index gay bars index lat long\n",
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"count 2328.000000 2328.000000 2328.000000 2328.000000 \n",
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"count 2328.000000 2328.000000 2328.000000 2328.000000\n",
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"mean 48616.478522 0.017612 0.118127 48616.478522 \n",
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"mean 0.017612 0.118127 38.044304 -91.221236\n",
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"std 35481.240641 0.131563 0.861863 35481.240641 \n",
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"std 0.131563 0.861863 5.148365 18.533499\n",
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"min 1730.000000 0.000000 0.000000 1730.000000 \n",
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"min 0.000000 0.000000 25.572213 -123.118977\n",
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"25% 11362.750000 0.000000 0.000000 11362.750000 \n",
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"25% 0.000000 0.000000 34.021932 -105.049099\n",
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"50% 46351.000000 0.000000 0.000000 46351.000000 \n",
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"50% 0.000000 0.000000 39.899977 -87.494097\n",
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"75% 80234.250000 0.000000 0.000000 80234.250000 \n",
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"75% 0.000000 0.000000 40.912413 -74.288743\n",
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"max 98686.000000 1.000000 17.000000 98686.000000 \n",
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"max 1.000000 17.000000 47.916786 -70.758184\n",
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"\n",
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" lat long \n",
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"count 2328.000000 2328.000000 \n",
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"mean 38.044304 -91.221236 \n",
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"std 5.148365 18.533499 \n",
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"min 25.572213 -123.118977 \n",
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"25% 34.021932 -105.049099 \n",
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"50% 39.899977 -87.494097 \n",
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"75% 40.912413 -74.288743 \n",
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"max 47.916786 -70.758184 \n",
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"------------------------------------------------------------------------\n",
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"------------------------------------------------------------------------\n",
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" zip pride parade index gay bars index ZIP lat long\n",
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" pride parade index gay bars index lat long\n",
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"0 90069 1 15 90069 34.093828 -118.381697\n",
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"0 1 15 34.093828 -118.381697\n",
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"1 94114 0 17 94114 37.758057 -122.435410\n",
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"1 0 17 37.758057 -122.435410\n",
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"2 10011 1 5 10011 40.742039 -74.000620\n",
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"2 1 5 40.742039 -74.000620\n",
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"3 10014 1 10 10014 40.734012 -74.006746\n",
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"3 1 10 40.734012 -74.006746\n",
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"4 94103 1 9 94103 37.773134 -122.411167\n",
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"4 1 9 37.773134 -122.411167\n",
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"... ... ... ... ... ... ...\n",
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"... ... ... ... ...\n",
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"2323 97208 0 0 97208 45.528666 -122.678981\n",
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"2323 0 0 45.528666 -122.678981\n",
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"2324 98154 0 0 98154 47.606211 -122.333792\n",
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"2324 0 0 47.606211 -122.333792\n",
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"2325 98158 0 0 98158 47.449678 -122.307657\n",
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"2325 0 0 47.449678 -122.307657\n",
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"2326 98174 0 0 98174 47.604569 -122.335359\n",
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"2326 0 0 47.604569 -122.335359\n",
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"2327 98195 0 0 98195 47.649339 -122.310294\n",
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"2327 0 0 47.649339 -122.310294\n",
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"\n",
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"\n",
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"[2328 rows x 6 columns]\n"
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"[2328 rows x 4 columns]\n"
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]
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]
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}
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}
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],
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],
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@ -1144,16 +1134,38 @@
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"#wrangle gay\n",
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"#wrangle gay\n",
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"# gaydf = pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['Parade_Weight'], gaybourhoods['Bars_Weight']))\n",
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"# gaydf = pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['Parade_Weight'], gaybourhoods['Bars_Weight']))\n",
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"\n",
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"\n",
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"gaydf = pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['ParadeFlag'], gaybourhoods['CountBars']))\n",
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"\n",
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"gaydf.columns=(('zip', 'pride parade index', 'gay bars index'))\n",
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"\n",
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"\n",
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"# print(gaydf.describe())\n",
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"# print(gaydf.describe())\n",
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"# print(gaydf)\n",
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"# print(gaydf)\n",
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"\n",
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"\n",
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"cords = pd.read_csv(\"../data/raw/zip_lat_long.csv\")\n",
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"cords = pd.read_csv(\"../data/raw/zip_lat_long.csv\")\n",
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"\n",
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"\n",
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"gaydf = gaydf.merge(cords, left_on=\"zip\", right_on=\"ZIP\")\n",
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"# gaydf = pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['ParadeFlag'], gaybourhoods['CountBars']))\n",
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"# gaydf.columns=(('zip', 'pride parade index', 'gay bars index'))\n",
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"# gaydf = gaydf.merge(cords, left_on=\"zip\", right_on=\"ZIP\")\n",
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"\n",
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"\n",
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"def loadprideindexes(secdf):\n",
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" gaydf = pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['ParadeFlag'], gaybourhoods['CountBars']))\n",
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" gaydf.columns=(('zip', 'pride parade index', 'gay bars index'))\n",
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" gaydf = gaydf.merge(secdf, left_on=\"zip\", right_on=\"ZIP\")\n",
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" \n",
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" return gaydf\n",
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" \n",
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" # gaydf = (\n",
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" # pd.DataFrame(zip(gaybourhoods['GEOID10'], gaybourhoods['ParadeFlag'], gaybourhoods['CountBars']))\n",
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" # .columns=(('zip', 'pride parade index', 'gay bars index'))\n",
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" # # .merge(cords, left_on=\"zip\", right_on=\"ZIP\")\n",
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" # )\n",
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"\n",
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"gaydf = loadprideindexes(cords)\n",
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"\n",
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"def notzip(dat):\n",
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" del dat['zip']\n",
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" del dat['ZIP']\n",
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"\n",
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"notzip(gaydf)\n",
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"\n",
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"\n",
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"\n",
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"# // unneded was already filtered out\n",
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"# // unneded was already filtered out\n",
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"\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 53,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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},
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"cell_type": "code",
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"execution_count": 29,
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"outputs": [
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},
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": 55,
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"metadata": {},
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"outputs": [
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"outputs": [
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},
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 35,
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"execution_count": 56,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 57,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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@ -1304,10 +1316,8 @@
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" <thead>\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>zip</th>\n",
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" <th>pride parade index</th>\n",
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" <th>pride parade index</th>\n",
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" <th>gay bars index</th>\n",
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" <th>gay bars index</th>\n",
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" <th>ZIP</th>\n",
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" <th>lat</th>\n",
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" <th>lat</th>\n",
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" <th>long</th>\n",
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" <th>long</th>\n",
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" </tr>\n",
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" </tr>\n",
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@ -1319,69 +1329,53 @@
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" <td>2328.000000</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>mean</th>\n",
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" <th>mean</th>\n",
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" <td>48616.478522</td>\n",
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" <td>0.017612</td>\n",
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" <td>0.017612</td>\n",
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" <td>0.118127</td>\n",
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" <td>0.118127</td>\n",
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" <td>48616.478522</td>\n",
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" <td>38.044304</td>\n",
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" <td>38.044304</td>\n",
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" <td>-91.221236</td>\n",
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" <td>-91.221236</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>std</th>\n",
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" <th>std</th>\n",
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" <td>35481.240641</td>\n",
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" <td>0.131563</td>\n",
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" <td>0.131563</td>\n",
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" <td>0.861863</td>\n",
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" <td>0.861863</td>\n",
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" <td>35481.240641</td>\n",
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" <td>5.148365</td>\n",
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" <td>5.148365</td>\n",
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" <td>18.533499</td>\n",
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" <td>18.533499</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>min</th>\n",
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" <th>min</th>\n",
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" <td>1730.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>1730.000000</td>\n",
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" <td>25.572213</td>\n",
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" <td>25.572213</td>\n",
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" <td>-123.118977</td>\n",
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" <td>-123.118977</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>25%</th>\n",
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" <th>25%</th>\n",
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" <td>11362.750000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>11362.750000</td>\n",
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" <td>34.021932</td>\n",
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" <td>34.021932</td>\n",
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" <td>-105.049099</td>\n",
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" <td>-105.049099</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>50%</th>\n",
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" <th>50%</th>\n",
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" <td>46351.000000</td>\n",
|
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>46351.000000</td>\n",
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" <td>39.899977</td>\n",
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" <td>39.899977</td>\n",
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" <td>-87.494097</td>\n",
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" <td>-87.494097</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>75%</th>\n",
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" <th>75%</th>\n",
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" <td>80234.250000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>80234.250000</td>\n",
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" <td>40.912413</td>\n",
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" <td>40.912413</td>\n",
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" <td>-74.288743</td>\n",
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" <td>-74.288743</td>\n",
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" </tr>\n",
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" </tr>\n",
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" <tr>\n",
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" <tr>\n",
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" <th>max</th>\n",
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" <th>max</th>\n",
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" <td>98686.000000</td>\n",
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" <td>1.000000</td>\n",
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" <td>1.000000</td>\n",
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" <td>17.000000</td>\n",
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" <td>17.000000</td>\n",
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" <td>98686.000000</td>\n",
|
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" <td>47.916786</td>\n",
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" <td>47.916786</td>\n",
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" <td>-70.758184</td>\n",
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" <td>-70.758184</td>\n",
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" </tr>\n",
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" </tr>\n",
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"</div>"
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"</div>"
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],
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],
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"text/plain": [
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"text/plain": [
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" zip pride parade index gay bars index ZIP \\\n",
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" pride parade index gay bars index lat long\n",
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"count 2328.000000 2328.000000 2328.000000 2328.000000 \n",
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"count 2328.000000 2328.000000 2328.000000 2328.000000\n",
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"mean 48616.478522 0.017612 0.118127 48616.478522 \n",
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"mean 0.017612 0.118127 38.044304 -91.221236\n",
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"std 35481.240641 0.131563 0.861863 35481.240641 \n",
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"std 0.131563 0.861863 5.148365 18.533499\n",
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"min 1730.000000 0.000000 0.000000 1730.000000 \n",
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"min 0.000000 0.000000 25.572213 -123.118977\n",
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"25% 11362.750000 0.000000 0.000000 11362.750000 \n",
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"25% 0.000000 0.000000 34.021932 -105.049099\n",
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"50% 46351.000000 0.000000 0.000000 46351.000000 \n",
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"50% 0.000000 0.000000 39.899977 -87.494097\n",
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"75% 80234.250000 0.000000 0.000000 80234.250000 \n",
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"75% 0.000000 0.000000 40.912413 -74.288743\n",
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"max 98686.000000 1.000000 17.000000 98686.000000 \n",
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"max 1.000000 17.000000 47.916786 -70.758184"
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"\n",
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" lat long \n",
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"count 2328.000000 2328.000000 \n",
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"mean 38.044304 -91.221236 \n",
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"std 5.148365 18.533499 \n",
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"min 25.572213 -123.118977 \n",
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"25% 34.021932 -105.049099 \n",
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"50% 39.899977 -87.494097 \n",
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"75% 40.912413 -74.288743 \n",
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"max 47.916786 -70.758184 "
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]
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]
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},
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},
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"execution_count": 31,
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"execution_count": 57,
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"metadata": {},
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
|
@ -1424,16 +1408,16 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 32,
|
"execution_count": 58,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<seaborn.axisgrid.PairGrid at 0x2aec9f50910>"
|
"<seaborn.axisgrid.PairGrid at 0x2aecc151110>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 32,
|
"execution_count": 58,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
},
|
},
|
||||||
|
|
@ -1449,23 +1433,23 @@
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"del gaydfhybridplot2['zip']; del gaydfhybridplot2['ZIP']\n",
|
"# del gaydfhybridplot2['zip']; del gaydfhybridplot2['ZIP']\n",
|
||||||
"\n",
|
"\n",
|
||||||
"sns.pairplot(gaydfhybridplot2)"
|
"sns.pairplot(gaydfhybridplot2)"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 38,
|
"execution_count": 59,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<seaborn.axisgrid.PairGrid at 0x2aecadf1110>"
|
"<seaborn.axisgrid.PairGrid at 0x2aecd0e1750>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 38,
|
"execution_count": 59,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
},
|
},
|
||||||
|
|
@ -1498,16 +1482,16 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 42,
|
"execution_count": 60,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<seaborn.axisgrid.PairGrid at 0x2aebe5ed150>"
|
"<seaborn.axisgrid.PairGrid at 0x2aebcea1e50>"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 42,
|
"execution_count": 60,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
},
|
},
|
||||||
|
|
@ -1531,7 +1515,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 47,
|
"execution_count": 61,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
|
@ -1558,7 +1542,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 48,
|
"execution_count": 62,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
|
|
||||||
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Reference in New Issue