Plotly for Python 可以绘制一个带有一个或多个孔的多边形吗？
Can Plotly for Python plot a polygon with one or multiple holes in it?
一个简单的例子是
shape_a = Point(0,0).buffer(10)
shape_b = Point(0,0).buffer(5)
shape_c = shape_a-shape_b
更新：
出色地。 fill='toself' 也有效，如果孔的边界坐标在相反的时钟方向附加（由 None 分隔）到外部坐标。
我自己找到了解决方法，使用 fill='tonext'。
先决条件是您需要在外部边界之前绘制内部边界。
在多个孔的情况下，您必须首先通过坐标列表中的 'None' 将它们连接到一个散点对象中。
shape_a = Point(0,0).buffer(10)
shape_b = Point(0,0).buffer(2)
shape_d = Point(5,0).buffer(1)
shape_c = shape_a - shape_b
shape_c = shape_c - shape_d
fig = go.Figure(layout=go.Layout(width=640, height=640))
x_a, y_a = shape_a.exterior.xy
x_b, y_b = shape_b.exterior.xy
x_d, y_d = shape_d.exterior.xy
int_x = list(x_b) + [None] + list(x_d)
int_y = list(y_b) + [None] + list(y_d)
fig.add_trace(go.Scatter(x=list(int_x), y=list(int_y), fill='none', showlegend=False))
fig.add_trace(go.Scatter(x=list(x_a), y=list(y_a), name='polygon_with_holes', fill='tonext'))
- 通常我将几何体（形状 对象）与映射几何体
联系起来
- 将 geojson 分层到 mapbox trace
上很简单
- 下面展示了带有多个孔的附加对象
from shapely.geometry import Point
import plotly.express as px
import numpy as np
shape_a = Point(3, 3).buffer(10)
shape_b = Point(3, 3).buffer(5)
shape_c = shape_a - shape_b
shape_2 = Point(15,15).buffer(10)
for p in [Point(a,b).buffer(2) for a,b in zip(np.linspace(8, 22, 8), np.linspace(8,22, 4))]:
shape_2 = shape_2 - p
px.scatter_mapbox(lat=[0], lon=[0], mapbox_style="carto-positron").update_layout(
mapbox={
"zoom": 2,
"layers": [
{"source": shape_c.__geo_interface__, "type": "fill", "color": "green"},
{"source": shape_2.__geo_interface__, "type": "fill", "color": "yellow"},
],
}
)
一个简单的例子是
shape_a = Point(0,0).buffer(10)
shape_b = Point(0,0).buffer(5)
shape_c = shape_a-shape_b
更新： 出色地。 fill='toself' 也有效，如果孔的边界坐标在相反的时钟方向附加（由 None 分隔）到外部坐标。
我自己找到了解决方法，使用 fill='tonext'。 先决条件是您需要在外部边界之前绘制内部边界。 在多个孔的情况下，您必须首先通过坐标列表中的 'None' 将它们连接到一个散点对象中。
shape_a = Point(0,0).buffer(10)
shape_b = Point(0,0).buffer(2)
shape_d = Point(5,0).buffer(1)
shape_c = shape_a - shape_b
shape_c = shape_c - shape_d
fig = go.Figure(layout=go.Layout(width=640, height=640))
x_a, y_a = shape_a.exterior.xy
x_b, y_b = shape_b.exterior.xy
x_d, y_d = shape_d.exterior.xy
int_x = list(x_b) + [None] + list(x_d)
int_y = list(y_b) + [None] + list(y_d)
fig.add_trace(go.Scatter(x=list(int_x), y=list(int_y), fill='none', showlegend=False))
fig.add_trace(go.Scatter(x=list(x_a), y=list(y_a), name='polygon_with_holes', fill='tonext'))
- 通常我将几何体（形状 对象）与映射几何体 联系起来
- 将 geojson 分层到 mapbox trace 上很简单
- 下面展示了带有多个孔的附加对象
from shapely.geometry import Point
import plotly.express as px
import numpy as np
shape_a = Point(3, 3).buffer(10)
shape_b = Point(3, 3).buffer(5)
shape_c = shape_a - shape_b
shape_2 = Point(15,15).buffer(10)
for p in [Point(a,b).buffer(2) for a,b in zip(np.linspace(8, 22, 8), np.linspace(8,22, 4))]:
shape_2 = shape_2 - p
px.scatter_mapbox(lat=[0], lon=[0], mapbox_style="carto-positron").update_layout(
mapbox={
"zoom": 2,
"layers": [
{"source": shape_c.__geo_interface__, "type": "fill", "color": "green"},
{"source": shape_2.__geo_interface__, "type": "fill", "color": "yellow"},
],
}
)