def test_projection():
wkt = ["POINT (-8235193.62386326 4976211.44428777)"]
top_left = "POINT (-8235871.4482427 4976468.32320551)"
bottom_right = "POINT (-8235147.42627458 4976108.43009739)"
arr_wkb = pandas.Series(arctern.wkt2wkb(wkt))
arctern.projection(arr_wkb, bottom_right, top_left, 200, 300)
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 (("
"-73.97324 40.73747, "
"-73.96524 40.74507, "
"-73.96118 40.75890, "
"-73.95556 40.77654, "
"-73.97324 40.73747))")
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(
1024,
896,
bounding_box=[-73.998427, 40.730309, -73.954348, 40.780816],
color_gradient=["#0000FF", "#FF0000"],
color_bound=[2.5, 5],
opacity=1.0,
coordinate_system='EPSG:4326')
choropleth_map1 = arctern.choropleth_map_layer(vega, arr_wkb, arr_count)
save_png(choropleth_map1, "/tmp/test_choropleth_map1.png")
def test_choroplethmap():
wkt_data = []
count_data = []
wkt_data.append("POLYGON (("
"-73.97324 40.73747, "
"-73.96524 40.74507, "
"-73.96118 40.75890, "
"-73.95556 40.77654, "
"-73.97324 40.73747))")
count_data.append(5.0)
arr_wkt = pandas.Series(wkt_data)
arr_wkb = arctern.wkt2wkb(arr_wkt)
arr_count = pandas.Series(count_data)
ax = _get_matplot()
ap.plot_choroplethmap(ax,
arr_wkb,
arr_count,
bounding_box=bounding_box,
color_gradient=["#0000FF", "#FF0000"],
color_bound=[2.5, 5],
opacity=1.0,
coordinate_system='EPSG:4326')
_finalize(ax, "test_choropleth_map1")
def test_transfrom_and_projection():
wkt = ["POINT (-73.978003 40.754594)"]
top_left = "POINT (-73.984092 40.756342)"
bottom_right = "POINT (-73.977588 40.753893)"
src_ts = "EPSG:4326"
dst_rs = "EPSG:3857"
arr_wkb = pandas.Series(arctern.wkt2wkb(wkt))
arctern.transform_and_projection(arr_wkb, src_ts, dst_rs, bottom_right, top_left, 200, 300)
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 (("
"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 WktToWkb(wkts):
return arctern.wkt2wkb(wkts)