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0802_插值数据_随机森林方法报错 #1

@xiyuvi

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@xiyuvi

感谢开源,我在学习您的_插值数据_随机森林方法时有报错,可以帮忙看一下问题怎么解决吗,十分感谢
先是报错这个

C:\Users\Administrator\AppData\Local\Temp\ipykernel_9988\3054541543.py:6: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().
  rf_model.fit(x_train, y_train)

image
然后报错

NameError                                 Traceback (most recent call last)
Cell In[8], line 6
      4 colors = ["#33A02C", "#B2DF8A", "#FDBF6F", "#1F78B4", "#999999", "#E31A1C"]
      5 # ax.scatter(clean_data['longitude'], clean_data['latitude'], c='red')
----> 6 prov_gpd_valid.boundary.plot(ax=ax, color='white')
      7 # ax_im_bar = ax.contourf(grid_x, grid_y, predict_cubic,cmap=cm.coolwarm) #mpl.colors.LinearSegmentedColormap.from_list("mypalette", colors, N=1000)
      9 ax_im_bar = ax.imshow(predict_matrix, origin='lower',
     10                       extent=(minx, maxx,miny, maxy),
     11                       cmap=mpl.colors.LinearSegmentedColormap.from_list("mypalette", colors, N=1000))

NameError: name 'prov_gpd_valid' is not defined

image

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