def test_weighted_point_map():
x_data = []
y_data = []
c_data = []
s_data = []
x_data.append(10)
x_data.append(20)
x_data.append(30)
x_data.append(40)
x_data.append(50)
y_data.append(10)
y_data.append(20)
y_data.append(30)
y_data.append(40)
y_data.append(50)
c_data.append(1)
c_data.append(2)
c_data.append(3)
c_data.append(4)
c_data.append(5)
s_data.append(2)
s_data.append(4)
s_data.append(6)
s_data.append(8)
s_data.append(10)
arr_x = pandas.Series(x_data)
arr_y = pandas.Series(y_data)
points = arctern.ST_Point(arr_x, arr_y)
arr_c = pandas.Series(c_data)
arr_s = pandas.Series(s_data)
vega1 = vega_weighted_pointmap(300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], ["#87CEEB"], [1, 5], [5], 1.0, "EPSG:3857")
res1 = arctern.weighted_point_map(vega1, points)
save_png(res1, "/tmp/test_weighted_0_0.png")
vega2 = vega_weighted_pointmap(300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], ["#0000FF", "#FF0000"], [1, 5], [5], 1.0, "EPSG:3857")
res2 = arctern.weighted_point_map(vega2, points, color_weights=arr_c)
save_png(res2, "/tmp/test_weighted_1_0.png")
vega3 = vega_weighted_pointmap(300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], ["#87CEEB"], [1, 5], [1, 10], 1.0, "EPSG:3857")
res3 = arctern.weighted_point_map(vega3, points, size_weights=arr_s)
save_png(res3, "/tmp/test_weighted_0_1.png")
vega4 = vega_weighted_pointmap(300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], ["#0000FF", "#FF0000"], [1, 5], [1, 10], 1.0, "EPSG:3857")
res4 = arctern.weighted_point_map(vega4, points, color_weights=arr_c, size_weights=arr_s)
save_png(res4, "/tmp/test_weighted_1_1.png")
def test_weighted_point_map():
x_data = []
y_data = []
c_data = []
s_data = []
x_data.append(10)
x_data.append(20)
x_data.append(30)
x_data.append(40)
x_data.append(50)
y_data.append(10)
y_data.append(20)
y_data.append(30)
y_data.append(40)
y_data.append(50)
c_data.append(1)
c_data.append(2)
c_data.append(3)
c_data.append(4)
c_data.append(5)
s_data.append(2)
s_data.append(4)
s_data.append(6)
s_data.append(8)
s_data.append(10)
arr_x = pandas.Series(x_data)
arr_y = pandas.Series(y_data)
arr_c = pandas.Series(c_data)
arr_s = pandas.Series(s_data)
vega1 = vega_weighted_pointmap(
300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], "#87CEEB",
[1, 5], [5], 1.0, "EPSG:3857")
vega_json1 = vega1.build()
res1 = arctern.weighted_point_map(arr_x, arr_y, vega_json1.encode('utf-8'))
save_png(res1, "/tmp/test_weighted_0_0.png")
vega2 = vega_weighted_pointmap(
300, 200, [-73.998427, 40.730309, -73.954348, 40.780816],
"blue_to_red", [1, 5], [5], 1.0, "EPSG:3857")
vega_json2 = vega2.build()
res2 = arctern.weighted_point_map(arr_x,
arr_y,
vega_json2.encode('utf-8'),
cs=arr_c)
save_png(res2, "/tmp/test_weighted_1_0.png")
vega3 = vega_weighted_pointmap(
300, 200, [-73.998427, 40.730309, -73.954348, 40.780816], "#87CEEB",
[1, 5], [1, 10], 1.0, "EPSG:3857")
vega_json3 = vega3.build()
res3 = arctern.weighted_point_map(arr_x,
arr_y,
vega_json3.encode('utf-8'),
ss=arr_s)
save_png(res3, "/tmp/test_weighted_0_1.png")
vega4 = vega_weighted_pointmap(
300, 200, [-73.998427, 40.730309, -73.954348, 40.780816],
"blue_to_red", [1, 5], [1, 10], 1.0, "EPSG:3857")
vega_json4 = vega4.build()
res4 = arctern.weighted_point_map(arr_x,
arr_y,
vega_json4.encode('utf-8'),
cs=arr_c,
ss=arr_s)
save_png(res4, "/tmp/test_weighted_1_1.png")
def weighted_pointmap_wkb(point, c, s, conf=vega):
from arctern import weighted_point_map
return weighted_point_map(vega,
point,
color_weights=c,
size_weights=s)
def weighted_pointmap_wkb(point, conf=vega):
from arctern import weighted_point_map
return weighted_point_map(conf, point)
def weighted_pointmap_wkb_1(point, c, conf=vega):
from arctern import weighted_point_map
return weighted_point_map(conf, point, color_weights=c)
