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priyankatuteja
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OD matrix sample update
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samples/04_gis_analysts_data_scientists/calculating_nXn_od_cost_matrix.ipynb

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@@ -63,11 +63,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"portal_url = 'https://wwww.arcgis.com'\n",
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"#connect to your GIS\n",
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"user_name = '<user_name>'\n",
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"password = '<password>'\n",
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"my_gis = GIS(portal_url, user_name, password)"
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"my_gis = GIS('home')"
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]
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},
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{
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"# Read csv files from data:\n",
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"destinations_address = r\"data/destinations_address.csv\"\n",
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"destinations_df = pd.read_csv(destinations_address)\n",
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"destinations_sdf = pd.DataFrame.spatial.from_df(destinations_fc, \"Address\")\n",
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"destinations_sdf = pd.DataFrame.spatial.from_df(destinations_df, \"Address\")\n",
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"destinations_sdf.head()"
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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": 10,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<FeatureSet> 3 features"
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]
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},
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"execution_count": 10,
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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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"outputs": [],
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"source": [
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"destinations_fset = destinations_sdf.spatial.to_featureset()\n",
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"destinations_fset"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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"version": "3.6.12"
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},
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"toc": {
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"base_numbering": 1,

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