Spatial joins

Python में Geospatial Data का Visualization

Mary van Valkenburg

Data Science Program Manager, Nashville Software School

काउंसिल जिले और स्कूल जिले

35 काउंसिल जिलों का प्लॉट

9 स्कूल जिलों का प्लॉट

.sjoin() का predicate आर्ग्युमेंट

import geopandas as gpd

gpd.sjoin(blue_region_gdf, black_point_gdf, predicate = <how to build>)

predicate intersects, contains, और within हो सकता है

.sjoin() का उपयोग

नीले रीजन के साथ काले पॉइंट्स का प्लॉट

predicate = 'intersects'

gpd.sjoin(blue_region_gdf, black_point_gdf, predicate = 'intersects')

हल्के नीले बहुभुज में काले पॉइंट्स

predicate = 'contains'

gpd.sjoin(blue_region_gdf, black_point_gdf, predicate = 'contains')

हल्के नीले बहुभुज में काले पॉइंट्स

predicate = 'within'

gpd.sjoin(black_point_gdf, blue_region_gdf, predicate = 'within')

हल्के नीले बहुभुज में काले पॉइंट्स

.sjoin() का predicate आर्ग्युमेंट - within

# find council districts within school districts

within_gdf = gpd.sjoin(council_districts, school_districts, predicate = 'within')

print('council districts within school districts: ', within_gdf.shape[0])

council districts within school districts:  11

.sjoin() का predicate आर्ग्युमेंट - contains

# find school districts that contain council districts

contains_gdf = pd.sjoin(school_districts, council_districts, predicate = 'contains')

print('school districts contain council districts: ', contains_gdf.shape[0])

school districts contain council districts:  11

.sjoin() का predicate आर्ग्युमेंट - intersects

# find council districts that intersect with school districts

intersect_gdf = gpd.sjoin(council_districts, school_districts, predicate = 'intersects')

print('council districts intersect school districts: ', intersect.shape[0])

council districts intersect school districts:  100

Spatial join के बाद GeoDataFrame की कॉलम्स

within_gdf = gpd.sjoin(council_districts, school_districts, predicate = 'within')
within_gdf.head()

  first_name_left  last_name_left district_left  index_right    
0 Nick             Leonardo            1              0              
1 DeCosta          Hastings            2              0 
2 Nancy            VanReece            8              1    
3 Bill             Pridemore           9              1    
9 Doug             Pardue             10              1

# स्कूल जिले के अनुसार काउंसिल जिलों को एग्रीगेट करें - district_left और district_right का नाम बदलें
within_gdf.district_left = council_district
within_gdf.district_right = school_district
within_gdf[['council_district', 'school_district']
          ].groupby('school_district'
                   ).agg('count'
                        ).sort_values('council_district', ascending = False)

                   council_district 
school_district    
       3                   3
       1                   2
       9                   2
       2                   1
       5                   1
       6                   1
       8                   1

अभ्यास करते हैं!

Python में Geospatial Data का Visualization