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updated image for drawing pt from df
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guide/05-working-with-the-spatial-dataframe/advanced-topics.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"[5 rows x 51 columns]"
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]
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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},
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"cell_type": "code",
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},
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"scrolled": true
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"scrolled": false
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"outputs": [
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{
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"Name: 0, dtype: object"
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]
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"execution_count": 13,
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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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"source": [
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"df.loc[0] # the first row (returned)"
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"df.loc[0] #the first row returned"
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]
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"cell_type": "code",
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"execution_count": 12,
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"Name: POP2010, Length: 317, dtype: int64"
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]
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"execution_count": 12,
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"output_type": "execute_result"
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}
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],
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"source": [
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"df['POP2010'] # the data from the `POP2010` attribute column"
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"df['POP2010'] #the data from the `POP2010` attribute column"
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]
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},
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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" 'spatialReference': {'wkid': 102100, 'latestWkid': 3857}}"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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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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"![Camp Pendleton_South_pt](../../static/img/ptdraw_.png)"
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"![Camp Pendleton_South_pt](../../static/img/cps_pt_draw.png)"
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]
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},
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"cell_type": "code",
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"source": [
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![Spatial Index Envelope](..\\..\\static\\img\\sindex_draw.png)"
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"![Spatial Index Envelope](../../static/img/sindex_draw.png)"
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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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"![Dataframe Extent with AOI](..\\..\\static\\img\\df_extent_aoi.png)"
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"![Dataframe Extent with AOI](../../static/img/df_extent_aoi.png)"
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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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"![Area_of_interest_intersect](..\\..\\static\\img\\si_intersect.png)"
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"![Area_of_interest_intersect](../../static/img/si_intersect.png)"
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]
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"#### Example: Merging State Statistics Information with Cities\n",
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"\n",
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"The goal is to get Wyoming's city locations and census data joined with Wymoing's state census data.\n",
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"> If you do not have access to the `ArcPy` site-package from the Python interpreter used to execute the following cells, you must authenticate to an ArcGIS Online Organization or ArcGIS Enterprise portal.\n",
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"\n",
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"> g3 = GIS(\"https://www.arcgis.com\", \"username\", \"password\")"
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"> If you do not have access to the `ArcPy` site-package from the Python interpreter used to execute the following cells, you must authenticate to an ArcGIS Online Organization or ArcGIS Enterprise portal."
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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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"![Wyoming Spatial Join](..\\..\\static\\img\\sdf_join_wy.png)"
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"![Wyoming Spatial Join](../../static/img/sdf_join_wy.png)"
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]
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},
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{

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