def test_choropleth_map():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"200 200, "
"200 300, "
"300 300, "
"300 200, "
"200 200))")
count_data.append(5.0)
arr_wkt = pandas.Series(wkt_data)
arr_wkb = arctern.wkt2wkb(arr_wkt)
arr_count = pandas.Series(count_data)
vega = vega_choroplethmap(
1900,
1410,
bounding_box=[-73.994092, 40.753893, -73.977588, 40.759642],
color_gradient=["#0000FF", "#FF0000"],
color_bound=[2.5, 5],
opacity=1.0,
coordinate_system='EPSG:4326')
choropleth_map1 = arctern.choropleth_map(vega, arr_wkb, arr_count)
save_png(choropleth_map1, "/tmp/test_choropleth_map1.png")
def test_choropleth_map():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"-73.98128 40.754771, "
"-73.980185 40.754771, "
"-73.980185 40.755587, "
"-73.98128 40.755587, "
"-73.98128 40.754771))")
count_data.append(5.0)
arr_wkt = pyarrow.array(wkt_data, type='string')
arr_count = pyarrow.array(count_data, type='double')
vega_choropleth_map = VegaChoroplethMap(
1900, 1410, [-73.984092, 40.753893, -73.977588, 40.756342],
"blue_to_red", [2.5, 5], 1.0)
vega_json = vega_choropleth_map.build()
choropleth_map = arctern.choropleth_map(arr_wkt, arr_count,
vega_json.encode('utf-8'))
choropleth_map = choropleth_map.buffers()[1].to_pybytes()
_savePNG(choropleth_map, "/tmp/test_choropleth_map.png")
def test_choropleth_map():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"200 200, "
"200 300, "
"300 300, "
"300 200, "
"200 200))")
count_data.append(5.0)
arr_wkt = pandas.Series(wkt_data)
arr_wkb = arctern.wkt2wkb(arr_wkt)
arr_count = pandas.Series(count_data)
vega = vega_choroplethmap(1900, 1410, [-73.994092, 40.753893, -73.977588, 40.759642], ["#0000FF", "#FF0000"], [2.5, 5], 1.0, 'EPSG:4326')
choropleth_map1 = arctern.choropleth_map(vega, arr_wkb, arr_count)
save_png(choropleth_map1, "/tmp/test_choropleth_map1.png")
def test_choropleth_map():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"-73.98128 40.754771, "
"-73.980185 40.754771, "
"-73.980185 40.755587, "
"-73.98128 40.755587, "
"-73.98128 40.754771))")
count_data.append(5.0)
arr_wkt = pandas.Series(wkt_data)
arr_count = pandas.Series(count_data)
vega_choropleth_map = VegaChoroplethMap(
1900, 1410, [-73.984092, 40.753893, -73.977588, 40.756342],
"blue_to_red", [2.5, 5], 1.0)
vega_json = vega_choropleth_map.build()
choropleth_map = arctern.choropleth_map(arr_wkt, arr_count,
vega_json.encode('utf-8'))
save_png(choropleth_map, "/tmp/test_choropleth_map.png")
def test_choropleth_map():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"200 200, "
"200 300, "
"300 300, "
"300 200, "
"200 200))")
count_data.append(5.0)
arr_wkt = pandas.Series(wkt_data)
arr_count = pandas.Series(count_data)
vega_choropleth_map = vega_choroplethmap(
1900, 1410, [-73.994092, 40.753893, -73.977588, 40.759642],
"blue_to_red", [2.5, 5], 1.0, 'EPSG:4326')
vega_json = vega_choropleth_map.build()
arr_wkb = arctern.wkt2wkb(arr_wkt)
choropleth_map1 = arctern.choropleth_map(arr_wkb, arr_count,
vega_json.encode('utf-8'))
save_png(choropleth_map1, "/tmp/test_choropleth_map1.png")
def choroplethmap_wkb(wkb, w, conf=vega):
from arctern import choropleth_map
return choropleth_map(wkb, w, conf.encode('utf-8'))
def choroplethmap_wkb(wkb, w, conf=vega):
from arctern import choropleth_map
return choropleth_map(conf, wkb, w)
