def getDict(city, shapefile):
cityDict = {city: {}}
rec = []
shp = []
points = []
# Select only the records representing the
# "city" and discard all other
for i in shapefile.shapeRecords():
if i.record[4].upper() == city:
rec.append(i.record)
shp.append(i.shape)
# total_area = sum( [float(i[0]) for i in rec] ) / (1000*1000)
for j in shp:
for i in getParts(j):
points.append(i)
#
# # Prepare the dictionary
# # Seperate the points into two separate lists of lists (easier for bokeh to consume)
# # - one representing latitudes
# # - second representing longitudes
#
lat = []
lng = []
for i in points:
lat.append([j[0] for j in i])
lng.append([j[1] for j in i])
#
#
cityDict[city]['lat_list'] = lat
cityDict[city]['lng_list'] = lng
# stateDict[state_name]['total_area'] = total_area
return cityDict
def shape_to_csv(self, shapefile):
csv_records = []
field_names = [field[0] for field in shapefile.fields[1:]]
for feature in shapefile.shapeRecords():
csv_record = (dict(zip(field_names, feature.record)))
csv_record['geom'] = shape(feature.shape.__geo_interface__).wkt
csv_records.append(csv_record)
return csv_records
def _write_shapefile_to_geojson(shapefile, geojson_f):
# From http://geospatialpython.com/2013/07/shapefile-to-geojson.html
fields = shapefile.fields[1:]
field_names = [field[0] for field in fields]
buffer = []
for sr in shapefile.shapeRecords():
atr = dict(zip(field_names, sr.record))
geom = sr.shape.__geo_interface__
buffer.append(dict(type="Feature", geometry=geom, properties=atr))
# write the GeoJSON file
geojson_f.write(
json.dumps({"type": "FeatureCollection", "features": buffer}, indent=2) + "\n"
)
def getDict ( state_name, shapefile ):
stateDict = {state_name: {} }
rec = []
shp = []
points = []
# Select only the records representing the
# "state_name" and discard all other
for i in shapefile.shapeRecords( ):
if i.record[2] == state_name:
rec.append(i.record)
shp.append(i.shape)
# In a multi record state for calculating total area
# sum up the area of all the individual records
# - first record element represents area in cms^2
total_area = sum( [float(i[0]) for i in rec] ) / (1000*1000)
# For each selected shape object get
# list of points while considering the cases where there may be
# multiple parts in a single record
for j in shp:
for i in getParts(j):
points.append(i)
# Prepare the dictionary
# Seperate the points into two separate lists of lists (easier for bokeh to consume)
# - one representing latitudes
# - second representing longitudes
lat = []
lng = []
for i in points:
lat.append( [j[0] for j in i] )
lng.append( [j[1] for j in i] )
stateDict[state_name]['lat_list'] = lat
stateDict[state_name]['lng_list'] = lng
stateDict[state_name]['total_area'] = total_area
return stateDict
def getDict ( county, shapefile ):
countyDict = {(county[0], county[1]): {} }
rec = []
shp = []
points = []
# Select only the records representing the
# "state_name" and discard all other
for i in shapefile.shapeRecords( ):
if i.record[0] == county[0] and i.record[1] == county[1]:
rec.append(i.record)
shp.append(i.shape)
# For each selected shape object get
# list of points while considering the cases where there may be
# multiple parts in a single record
for j in shp:
for i in getParts(j):
points.append(i)
# Prepare the dictionary
# Seperate the points into two separate lists of lists (easier for bokeh to consume)
# - one representing latitudes
# - second representing longitudes
lat = []
lng = []
for i in points:
lat.append( [j[0] for j in i] )
lng.append( [j[1] for j in i] )
countyDict[(county[0], county[1])]['lat_list'] = lat
countyDict[(county[0], county[1])]['lng_list'] = lng
return countyDict
def find_point(shapefile, df):
'''
:param shapefile: shapefile文件
:param df: 经纬度点
:return: 属于shapefile所在区域的位置
'''
in_shape_points = []
latitudes = []
longitudes = []
indexs = []
table_data = []
rds = shapefile.shapeRecords()
print(rds[0])
for index, row in df.iterrows():
lat = row['latitude']
lon = row['longitude']
if lon < lon1 or lon > lon2 or lat < lat1 or lat > lat2:
pass
else:
print(lon, lat)
latitudes.append(lat)
longitudes.append(lon)
indexs.append(index)
table_data.append(row.values)
pt = (lon, lat)
for rd in rds:
if geometry.Point(pt).within(geometry.shape(rd.shape)):
in_shape_points.append(pt)
print(pt)
break
else:
# not_in_shape_points.append(pt)
pass
selected_lon = [elem[0] for elem in in_shape_points]
selected_lat = [elem[1] for elem in in_shape_points]
return (selected_lon, selected_lat), table_data
#!/usr/bin/env python3
import shapefile
import shapely_geojson
from shapely.geometry import shape
shapefile = shapefile.Reader('tiling_grid/shape/sentinel2_tiles_world.shp')
records = shapefile.shapeRecords()
for feature in records:
#print(feature.shape.__geo_interface__)
print(feature.record[0])
geom = shape(feature.shape).buffer(-0.3)
geom2 = shapely_geojson.Feature(geom, properties={'name': feature.record[0]})
#print(shapely_geojson.dumps(geom2))
with open('tiling_grid/geojson/{0}.geojson'.format(feature.record[0]), 'w') as outfile:
outfile.write(shapely_geojson.dumps(shapely_geojson.FeatureCollection([geom2])))