代码在列的规范上引发错误

Question

当我运行模型时，我不断收到以下值错误：ValueError: Specifying the columns using strings is only supported for pandas DataFrames这是错误的完整版本：Traceback (most recent call last):  File "/usr/lib/python3.8/site-packages/sklearn/utils/__init__.py", line 425, in _get_column_indices    all_columns = X.columnsAttributeError: 'numpy.ndarray' object has no attribute 'columns'During handling of the above exception, another exception occurred:Traceback (most recent call last):  File "/home/user/Python Practice/Working/Playstore/untitled0.py", line 48, in <module>    run.fit(x,y)  File "/usr/lib/python3.8/site-packages/sklearn/pipeline.py", line 330, in fit    Xt = self._fit(X, y, **fit_params_steps)  File "/usr/lib/python3.8/site-packages/sklearn/pipeline.py", line 292, in _fit    X, fitted_transformer = fit_transform_one_cached(  File "/usr/lib/python3.8/site-packages/joblib/memory.py", line 352, in __call__    return self.func(*args, **kwargs)  File "/usr/lib/python3.8/site-packages/sklearn/pipeline.py", line 740, in _fit_transform_one    res = transformer.fit_transform(X, y, **fit_params)  File "/usr/lib/python3.8/site-packages/sklearn/compose/_column_transformer.py", line 529, in fit_transform    self._validate_remainder(X)  File "/usr/lib/python3.8/site-packages/sklearn/compose/_column_transformer.py", line 327, in _validate_remainder    cols.extend(_get_column_indices(X, columns))  File "/usr/lib/python3.8/site-packages/sklearn/utils/__init__.py", line 427, in _get_column_indices    raise ValueError("Specifying the columns using strings is only "ValueError: Specifying the columns using strings is only supported for pandas DataFrames关于如何修复它有什么想法吗？如果您需要的话，可以在这里找到所使用的数据。最初，我尝试在单个变压器变量下一次性执行所有列转换，但这不起作用，建议我在再次运行之前将它们分开。我这样做了，但结果如你所见。我需要一些帮助。谢谢你！

Answer 1

我不会像这样分离柱变压器。这样，在您的run管道中，第一个ColumnTransformer col将 pandas 数据帧的输入转换为 numpy 数组。但是，列名称无法被挑选出来cb_（更糟糕的是，列顺序已更改，因此您不能依赖原始数据中的列索引）。