Question

开始在JupyterLab使用Python 3和Pandas进行数据科学项目数周，而没有遇到任何问题。今天，我无法通过标准import pandas as pd加载熊猫。（请参见下面的错误消息）

我尝试检查以确保在Anaconda环境中安装了熊猫。采购Anaconda环境后，我同时运行了pip list和conda list，并且都显示了安装在Anaconda环境的软件包列表中的pandas 0.25.0。

想知道这是否与JupyterLab的最新版本1.0.2和Jupyter Notebook的最新版本6.0.0有关吗？

我希望import pandas as pd可以正常工作，但是我得到了：

    ---------------------------------------------------------------------------
    UnboundLocalError                         Traceback (most recent call last)
    <ipython-input-2-7dd3504c366f> in <module>
    ----> 1 import pandas as pd

    ~/anaconda3/lib/python3.7/site-packages/pandas/__init__.py in <module>
         40 import pandas.core.config_init
         41 
    ---> 42 from pandas.core.api import *
         43 from pandas.core.sparse.api import *
         44 from pandas.tseries.api import *

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/api.py in <module>
         24 )
         25 from pandas.core.arrays import Categorical, array
    ---> 26 from pandas.core.groupby import Grouper
         27 from pandas.io.formats.format import set_eng_float_format
         28 from pandas.core.index import (Index, CategoricalIndex, Int64Index,

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/__init__.py in <module>
          1 from pandas.core.groupby.groupby import GroupBy  # noqa: F401
    ----> 2 from pandas.core.groupby.generic import (  # noqa: F401
          3     SeriesGroupBy, DataFrameGroupBy, PanelGroupBy)
          4 from pandas.core.groupby.grouper import Grouper  # noqa: F401

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/generic.py in <module>
         40 import pandas.core.indexes.base as ibase
         41 from pandas.core.internals import BlockManager, make_block
    ---> 42 from pandas.core.panel import Panel
         43 from pandas.core.series import Series
         44 

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/panel.py in <module>
       1584                   docs={})
       1585 
    -> 1586 ops.add_special_arithmetic_methods(Panel)
       1587 ops.add_flex_arithmetic_methods(Panel)
       1588 Panel._add_numeric_operations()

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/ops/__init__.py in add_special_arithmetic_methods(cls)
        810         special methods will be defined and pinned to this class
        811     """
    --> 812     _, _, arith_method, comp_method, bool_method = _get_method_wrappers(cls)
        813     new_methods = _create_methods(
        814         cls, arith_method, comp_method, bool_method, special=True

    ~/anaconda3/lib/python3.7/site-packages/pandas/core/ops/__init__.py in _get_method_wrappers(cls)
        717         comp_special = _comp_method_FRAME
        718         bool_special = _arith_method_FRAME
    --> 719     return arith_flex, comp_flex, arith_special, comp_special, bool_special
        720 
        721 

    UnboundLocalError: local variable 'arith_flex' referenced before assignment

感谢您的帮助或建议。

Answer 1

最终，我使用this guide卸载并重新安装了Anaconda，从而解决了此依赖性问题。这部分与@Trenton_M的上述建议/信息一致，因为重新安装将Pandas从0.25.0版本回滚到0.24.2版本，同时保留了JupyterLab 1.0.2版本和Jupyter Notebook 6.0.0版本。

'0.24.2'

输出

int *p = new int[1e7];

即default version listed for Anaconda。

尚未在JupyterLab中加载的熊猫

1 个答案: