超过最大递归深度 google colab

Question

尝试在 Google colab 上运行一些 python 代码。我有一些预处理数据需要读入：

train, test, unused_feat, target_features, features, cat_idxs, cat_dims  = pickle.load(open('/content/drive/My Drive/xxx/data/train_test.pkl', 'rb'))

然后如果我打电话给火车我会得到错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/IPython/core/formatters.py in __call__(self, obj)
    697                 type_pprinters=self.type_printers,
    698                 deferred_pprinters=self.deferred_printers)
--> 699             printer.pretty(obj)
    700             printer.flush()
    701             return stream.getvalue()

8 frames
pandas/_libs/properties.pyx in pandas._libs.properties.AxisProperty.__get__()

/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py in __getattr__(self, name)
   5268             or name in self._accessors
   5269         ):
-> 5270             return object.__getattribute__(self, name)
   5271         else:
   5272             if self._info_axis._can_hold_identifiers_and_holds_name(name):

AttributeError: 'DataFrame' object has no attribute '_data'

当我打电话时

---------------------------------------------------------------------------
RecursionError                            Traceback (most recent call last)
<ipython-input-35-5e6a15ce28a5> in <module>()
----> 1 train.shape

321 frames
pandas/_libs/properties.pyx in pandas._libs.properties.AxisProperty.__get__()

/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py in __getattr__(self, name)
   5268             or name in self._accessors
   5269         ):
-> 5270             return object.__getattribute__(self, name)
   5271         else:
   5272             if self._info_axis._can_hold_identifiers_and_holds_name(name):

RecursionError: maximum recursion depth exceeded while calling a Python object

当我在自己的 jupyter notebook 上工作时，我对此没有任何问题。我想知道出了什么问题。同样 train 包含大约 250000 行。

Answer 1

如果这是您的约束，我认为您可以更改递归限制，但是，您可能处于无限循环中。

这篇文章告诉你如何增加你的递归限制。 What is the maximum recursion depth in Python, and how to increase it?

但是，我不确定您遇到的其他错误。希望对您有所帮助。