我正在尝试将泡菜文件放入数据框。尝试过setrecursionlimit1500-5000 的值仍然会出现错误。
有没有其他方法可以访问pickle文件并将其放入数据框中?
import pandas as pd
import numpy as np
import sys
sys.setrecursionlimit(5000)
df = pd.read_pickle("data.pkl",compression=None)
df.head()
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整个日志:
---------------------------------------------------------------------------
RecursionError Traceback (most recent call last)
<ipython-input-4-c42a15b2c7cf> in <module>
----> 1 df.head()
/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py in head(self, n)
4787 """
4788
-> 4789 return self.iloc[:n]
4790
4791 def tail(self: FrameOrSeries, n: int = 5) -> FrameOrSeries:
/opt/conda/lib/python3.7/site-packages/pandas/core/indexing.py in __getitem__(self, key)
1766
1767 maybe_callable = com.apply_if_callable(key, self.obj)
-> 1768 return self._getitem_axis(maybe_callable, axis=axis)
1769
1770 def _is_scalar_access(self, key: Tuple):
/opt/conda/lib/python3.7/site-packages/pandas/core/indexing.py in _getitem_axis(self, …Run Code Online (Sandbox Code Playgroud)