Polygon Shapely Package python与气流有关，即使点在多边形内

Question

在运行一部分代码时，我将面临问题，该代码涉及在气流上使用Python中使用Shapely Package（用于Polygon和Points）的问题。

代码的作用：
它将URL转换为点（使用函数），然后检查该点是否在多边形内部。在本地，要点显示true。但是在气流上，我一直在气流上获得false

from shapely.geometry.polygon import Polygon
from shapely.geometry import Point

def convert_url_to_point(x):
    split1 = x.split("=")
    split2 = split1[1].split("%2C")
    x_coordinates = split2[0]
    y = split2[1]
    y_coordinates = y.split("&")[0]
    x_coordinates = float(x_coordinates)
    y_coordinates = float(y_coordinates)
    point = Point(x_coordinates, y_coordinates)
    return point

url = "https://maps.google.com/maps/api/staticmap?center=33.76846398%2C-84.38438488&zoom=17&size=256x256&language=en&sensor=false&client=google-maps-frontend&signature=BaDj2xFv1Bv6pHNDtGF0v29UYe0"

x = convert_url_to_point(url)


check_polygon = Polygon[(34.127493 -83.81768199999999, 34.135484999999996 -83.808328, 34.145086 -83.797005, 34.165076 -83.773452, 34.180189 -83.75564399999999, 34.186807 -83.747799, 34.230622 -83.69633499999999, 34.241549 -83.6835, 34.261873 -83.659479, 34.295276 -83.620115, 34.296971 -83.62122099999999, 34.300548 -83.624253, 34.30131 -83.625099, 34.301938 -83.624835, 34.302838 -83.624725, 34.303992 -83.624133, 34.304471 -83.624131, 34.305212 -83.624358, 34.305839 -83.62475699999999, 34.306221 -83.625191, 34.306411 -83.62563399999999, 34.306968 -83.632243, 34.312761 -83.64183299999999, 34.314789000000005 -83.643915, 34.315872 -83.644272, 34.319744 -83.64807900000001, 34.321487 -83.649292, 34.323153999999995 -83.649628, 34.327477 -83.649292, 34.333309 -83.647789, 34.335167 -83.647774, 34.338004999999995 -83.649002, 34.340328 -83.649475, 34.343715 -83.651441, 34.346311 -83.651674, 34.34882 -83.651306, 34.350346 -83.65259499999999, 34.353123 -83.656013, 34.354733 -83.65679899999999, 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34.052608 -83.698143, 34.054121 -83.699641, 34.054378 -83.70070600000001, 34.052914 -83.70201899999999, 34.048705 -83.702473, 34.046291 -83.704426, 34.046158 -83.707623, 34.045127 -83.70918, 34.045984000000004 -83.71137900000001, 34.049139000000004 -83.713083, 34.050024 -83.714399, 34.051696 -83.71378299999999, 34.052949 -83.712561, 34.054434 -83.712294, 34.056378 -83.713492, 34.055954 -83.71576, 34.055073 -83.717076, 34.053545 -83.718763, 34.055503 -83.720803, 34.056567 -83.720383, 34.058012 -83.720965, 34.059106 -83.720239, 34.060401 -83.721327, 34.06263 -83.721588, 34.063423 -83.72377, 34.060703000000004 -83.727928, 34.060116 -83.731796, 34.060905 -83.732872, 34.064056 -83.734344, 34.066662 -83.733307, 34.067345 -83.733726, 34.066395 -83.737205, 34.066673 -83.738564, 34.069496 -83.740578, 34.069191 -83.742798, 34.068027 -83.743431, 34.065909999999995 -83.74209599999999, 34.065243 -83.74233199999999, 34.065292 -83.745293, 34.064919 -83.748451, 34.064201000000004 -83.75138100000001, 34.06657 -83.75924300000001, 34.066609 -83.761739, 34.066163 -83.762831, 34.06487 -83.76331, 34.065292 -83.765134, 34.066448 -83.76753199999999, 34.069234 -83.769041, 34.073040999999996 -83.769705, 34.074234999999994 -83.773836, 34.078378 -83.776534, 34.079819 -83.777977, 34.083892 -83.78609200000001, 34.086628000000005 -83.79051199999999, 34.087837 -83.791351, 34.088299 -83.79143499999999, 34.093533 -83.78993100000001, 34.093578 -83.78993299999999, 34.100041 -83.792046, 34.101136 -83.793524, 34.102072 -83.795982, 34.102833000000004 -83.79980400000001, 34.103049 -83.800169, 34.105676 -83.80312099999999, 34.107694 -83.805762, 34.109614 -83.805693, 34.109404999999995 -83.807783, 34.111269 -83.809889, 34.112851 -83.811757, 34.113701 -83.815174, 34.114585 -83.814394, 34.115520000000004 -83.81110799999999, 34.117293 -83.81299200000001, 34.120515000000005 -83.81218199999999, 34.121502 -83.815208, 34.122532 -83.816528, 34.12688 -83.815996, 34.127493 -83.81768199999999)]

inside_polygon_boolean = check_polygon.contains(x)
print(inside_polygon_boolean)

Answer 1

如果这是气流中的实际代码，请尝试将多边形更改为有效众所周知的文本以wkt.loads（）：

check_polygon = wkt.loads('POLYGON ((34.127493 -83.81768199999999, 34.135484999999996 -83.808328, 34.145086 -83.797005, ..., 34.127493 -83.81768199999999))')

或者，创建一个点元组的有序顺序对于polygon构造函数：

check_polygon = Polygon([(34.127493, -83.81768199999999), (34.135484999999996, -83.808328), (34.145086, -83.797005), ..., (34.127493, -83.81768199999999)])

当前您似乎都混合了两种方法。

创建

A Shapely Polygon ，您可以通过列表， point元组（[（x1，y1），（x2，y2），...]）。您还可以将现有几何对象序列化为 >来自其他来源的 wkt 中的字符串或导入对象，并加载了wkt.loads（）：

from shapely.geometry.polygon import Polygon
from shapely import wkt

# Polygon class constructur, takes list of point tuples:
polygon_a = Polygon([(0, 0), (0, 2), (2, 2), (2, 0), (0, 0)])
print(f'Well Known Text: "{polygon_a.wkt}"')

# deserialize a geometric object from wkt string, note the quotes and how 
# point coordinates are separated by <space>  
polygon_b = wkt.loads('POLYGON ((0 0, 0 2, 2 2, 2 0, 0 0))')

if polygon_a == polygon_b:
  print ('Polygons are equal')

## Output:
# Well Known Text: "POLYGON ((0 0, 0 2, 2 2, 2 0, 0 0))"
# Polygons are equal

您似乎将WKT-string作为基础，并在最重要的是，尽管我的示例坐标编辑器 / IDE甚至在运行之前都会警告它，但它也只会抛出syntaxerror < / code>：

# wkt: 'POLYGON ((0 0, 0 2, 2 2, 2 0, 0 0))' 
# incorrect tranformation to Polygon():
polygon_c = Polygon[(0 0, 0 2, 2 2, 2 0, 0 0)]

File "<ipython-input-37-a734f32944de>", line 3
    polygon_c = Polygon[(0 0, 0 2, 2 2, 2 0, 0 0)]
                           ^
SyntaxError: invalid syntax

您恰好具有负y-coordinates，因此您的坐标列表实际上得到了评估：

# first 2 coordinate pairs as an example:
(34.127493 -83.81768199999999, 34.135484999999996 -83.808328,)
# exactly the same as 
(34.127493-83.81768199999999, 34.135484999999996-83.808328,)
# and would be evaluated to sequence of two, i.e. (x1-y1, x2-y2):
(-49.69018899999999, -49.67284300000001)

这可能会欺骗您的IDE不要警告您有关错误的信息，但这仍然会抛出typeError：'type'对象在执行过程中无法订阅。

要得出结论

如果 这就是您在气流实例中构造多边形的方式，那么您的气流任务可能会失败，不是因为您的观点不在多边形之外，而是因为它抛出了一个错误。