我买了 Mac M1,现在正在搭建我的 python 环境。
现在我在 VS Code 中打开了一个 jypyter notebook 文件,并尝试将 pandas 导入为 pd, 然后它抛出了这个错误:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
/var/folders/r5/wq0wq8mx0d56rbrbs38jt94w0000gn/T/ipykernel_10428/1362986570.py in <module>
----> 1 import pandas as pd
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/__init__.py in <module>
20
21 # numpy compat
---> 22 from pandas.compat import (
23 np_version_under1p18 as _np_version_under1p18,
24 is_numpy_dev as _is_numpy_dev,
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/compat/__init__.py in <module>
13
14 from pandas._typing import F
---> 15 from pandas.compat.numpy import (
16 is_numpy_dev,
17 np_array_datetime64_compat,
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/compat/numpy/__init__.py in <module>
5 import numpy as np
6
----> 7 from pandas.util.version import Version
8
9 # numpy versioning
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/util/__init__.py in <module>
----> 1 from pandas.util._decorators import ( # noqa
2 Appender,
3 Substitution,
4 cache_readonly,
5 )
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/util/_decorators.py in <module>
12 import warnings
13
---> 14 from pandas._libs.properties import cache_readonly # noqa
15 from pandas._typing import F
16
~/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/_libs/__init__.py in <module>
11
12
---> 13 from pandas._libs.interval import Interval
14 from pandas._libs.tslibs import (
15 NaT,
ImportError: dlopen(/Users/yeung/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/_libs/interval.cpython-39-darwin.so, 2): no suitable image found. Did find:
/Users/yeung/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/_libs/interval.cpython-39-darwin.so: mach-o, but wrong architecture
/Users/yeung/.pyenv/versions/3.9.4/lib/python3.9/site-packages/pandas/_libs/interval.cpython-39-darwin.so: mach-o, but wrong architecture
我现在应该怎么做才能修复它?
答案 0 :(得分:1)
删除后尝试重新安装pandas?
答案 1 :(得分:0)
也许 VSCode 是原生的(ARM 代码),所以它也会启动一个原生的 jupyter...尝试使用非 Rosetta 2 终端安装一个原生的 Pandas 版本。