栅格参数优化报错

[xiaosanmeng]

您好！ 在运行下列代码时发生报错： a=tbd.grid_params_optimize(gps_random, params_rec, col=['veh_id', 'lon', 'lat'],printlog=True) 报错结果：IndexError: index 4 is out of bounds for axis 0 with size 4 Optimized index centerdist: 160.49172936995848 Optimized gridding params: {'slon': 121.14150751824792, 'slat': 31.2536506891721, 'deltalon': 0.005262604989003138, 'deltalat': 0.004496605206422906, 'theta': 61.77597264308154, 'method': 'rect'} Traceback (most recent call last): File "E:/Project/transbigdata/transing/栅格处理.py", line 122, in a=tbd.grid_params_optimize(gps_random, params_rec, col=['veh_id', 'lon', 'lat'],printlog=True) File "E:\Anaconda3\envs\Bigdata\lib\site-packages\transbigdata\grids.py", line 694, in grid_params_optimize ax=ax) File "E:\Anaconda3\envs\Bigdata\lib\site-packages\geopandas\geodataframe.py", line 606, in plot return plot_dataframe(self, *args, kwargs) File "E:\Anaconda3\envs\Bigdata\lib\site-packages\geopandas\plotting.py", line 502, in plot_dataframe style_kwds File "E:\Anaconda3\envs\Bigdata\lib\site-packages\geopandas\plotting.py", line 341, in plotseries ax, polys, values, facecolor=facecolor, cmap=cmap, style_kwds File "E:\Anaconda3\envs\Bigdata\lib\site-packages\geopandas\plotting.py", line 111, in plot_polygon_collection kwargs[att] = np.take(kwargs[att], multiindex) File "<__array_function__ internals>", line 6, in take File "E:\Anaconda3\envs\Bigdata\lib\site-packages\numpy\core\fromnumeric.py", line 190, in take return _wrapfunc(a, 'take', indices, axis=axis, out=out, mode=mode) File "E:\Anaconda3\envs\Bigdata\lib\site-packages\numpy\core\fromnumeric.py", line 54, in _wrapfunc return _wrapit(obj, method, *args, *kwds) File "E:\Anaconda3\envs\Bigdata\lib\site-packages\numpy\core\fromnumeric.py", line 43, in _wrapit result = getattr(asarray(obj), method)(args, kwds)

个人猜测： plotting中的edgecolor``, ``facecolor参数缘故导致。 grids.plot(lw=1, edgecolor=(0.8, 0.8, 0.8, 1), facecolor=(0, 0, 0, 0.05), ax=ax) 具体是否这个原因还有待考证，有什么方法可以解决吗？ 是因为模块版本原因吗？ 希望得到您的解答！ 感谢！

[ni1o1]

应该是geopandas包版本导致，升级到0.10.2版本试试

[xiaosanmeng]

感谢您的解答！