Python Geopandas sjoin（）错误：列表索引超出范围

我有两个框架。一个将形状点设置为.geometry，另一个将形状多边形和多多边形设置为.geometry。当我试图对它们使用

sjoin（）

函数时，我得到了一个错误

import pandas as pd
import geopandas as gpd

points_gdf = pd.read_pickle('points.pickle')
polys_gdf = pd.read_pickle('polys.pickle')

# points_gdf.geometry consists of shapely points
# polys_gdf.geometry consists of shapely polygons and multipolygons

# Now, I use the sjoin() function

return_gdf = gpd.sjoin(points_gdf, polys_gdf, how="inner", op='intersects')

然后我得到以下错误：

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-75-e5b042f3f0e2> in <module>
----> 1 return_gdf = gpd.sjoin(points_gdf, polys_gdf, how="inner", op='intersects')

~\AppData\Local\Continuum\anaconda3\lib\site-packages\geopandas\tools\sjoin.py in sjoin(left_df, right_df, how, op, lsuffix, rsuffix)
     73     tree_idx = rtree.index.Index(stream)
     74 
---> 75     idxmatch = (left_df.geometry.apply(lambda x: x.bounds)
     76                 .apply(lambda x: list(tree_idx.intersection(x))))
     77     idxmatch = idxmatch[idxmatch.apply(len) > 0]

~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\series.py in apply(self, func, convert_dtype, args, **kwds)
   3192             else:
   3193                 values = self.astype(object).values
-> 3194                 mapped = lib.map_infer(values, f, convert=convert_dtype)
   3195 
   3196         if len(mapped) and isinstance(mapped[0], Series):

pandas/_libs/src\inference.pyx in pandas._libs.lib.map_infer()

~\AppData\Local\Continuum\anaconda3\lib\site-packages\geopandas\tools\sjoin.py in <lambda>(x)
     73     tree_idx = rtree.index.Index(stream)
     74 
---> 75     idxmatch = (left_df.geometry.apply(lambda x: x.bounds)
     76                 .apply(lambda x: list(tree_idx.intersection(x))))
     77     idxmatch = idxmatch[idxmatch.apply(len) > 0]

~\AppData\Local\Continuum\anaconda3\lib\site-packages\shapely\geometry\point.py in bounds(self)
    120     @property
    121     def bounds(self):
--> 122         xy = self.coords[0]
    123         return (xy[0], xy[1], xy[0], xy[1])
    124 

IndexError: list index out of range

---

所以在发布之后，我发现了一个错误：我的point_gdf中有一些空的shapely点。删除它们后，sjoin（）就像一个符咒

import geopandas as gpd
from shapely.geometry import Point, Polygon

point_list = [Point(),Point(0.5,0.5)]
poly_list = [Polygon([[0, 0], [1, 0], [1, 1], [0, 1]])]

points_gdf = gpd.GeoDataFrame(geometry=point_list)
polys_gdf = gpd.GeoDataFrame(geometry=poly_list)

points_gdf = points_gdf[~points_gdf.geometry.is_empty] # delete empty points
return_df = gpd.sjoin(points_gdf, polys_gdf, how="inner", op='within')

---

只是一个问题，因为我无法复制这个：你拥有的shapely的版本是什么？（如果这是一个可复制的错误，我们应该在GeoPandas中修复它）我有shapely版本1.6.4。我将尝试上传一个可复制的代码。嗯，很奇怪，1.6.4也有类似于

Polygon（[]）的代码。bounds

适合我（返回空元组）我添加了复制错误的最小代码。谢谢！我尝试了一个空多边形，但实际上是一个空点，这会引起这个错误。这似乎是shapely本身的一个缺陷，我在这里提出了一个问题：

import geopandas as gpd
from shapely.geometry import Point, Polygon

point_list = [Point(),Point(0.5,0.5)]
poly_list = [Polygon([[0, 0], [1, 0], [1, 1], [0, 1]])]

points_gdf = gpd.GeoDataFrame(geometry=point_list)
polys_gdf = gpd.GeoDataFrame(geometry=poly_list)

points_gdf = points_gdf[~points_gdf.geometry.is_empty] # delete empty points
return_df = gpd.sjoin(points_gdf, polys_gdf, how="inner", op='within')