当我打电话时:
import pandas as pd
在tensorflow_macos
上(对于 M1 芯片)
我明白了:
ImportError Traceback (most recent call last)
~/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/__init__.py in <module>
28 try:
---> 29 from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
30 except ImportError as e: # pragma: no cover
~/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/__init__.py in <module>
12
---> 13 from pandas._libs.interval import Interval
14 from pandas._libs.tslibs import (
ImportError: dlopen(/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so, 2): no suitable image found. Did find:
/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so: mach-o, but wrong architecture
/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so: mach-o, but wrong architecture
The above exception was the direct cause of the following exception:
ImportError Traceback (most recent call last)
<ipython-input-3-94f55571b0d6> in <module>
1 import numpy as np
----> 2 import pandas as pd
3
4 import matplotlib.pyplot as plt
5
~/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/__init__.py in <module>
31 # hack but overkill to use re
32 module = str(e).replace("cannot import name ", "")
---> 33 raise ImportError(
34 f"C extension: {module} not built. If you want to import "
35 "pandas from the source directory, you may need to run "
ImportError: C extension: dlopen(/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so, 2): no suitable image found. Did find:
/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so: mach-o, but wrong architecture
/Users/ashkan/tensorflow_macos_venv/lib/python3.8/site-packages/pandas/_libs/interval.cpython-38-darwin.so: mach-o, but wrong architecture not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --force' to build the C extensions first.
答案 0 :(得分:5)
我希望 Xcode 命令行工具已经安装。如果没有,请安装它,然后按照步骤操作。
第 1 步:迷你锻造
从 miniforge GitHub 为 arm64 (Apple Silicon) 安装 miniforge。 Miniforge 支持安装为 Apple Silicon 本地编译的 Python 包。
第 2 步:创建 Conda 环境
在安装 miniforge 之后和执行此步骤之前,不要忘记打开一个新会话或获取 .zshrc 的源。
创建一个空的 Conda 环境,然后激活它并安装 python 3.8。以及所有需要的包。请注意,这里不需要 numpy,因为 Pandas 已经安装了它,但它会在最后一步被 Apple 提供的版本覆盖。
conda create --name mytf
conda activate mytf
conda install -y python==3.8.6
conda install -y pandas matplotlib scikit-learn jupyterlab
我已经测试过了。执行这些步骤后即可使用。
答案 1 :(得分:1)
如下一篇文章 (https://github.com/apple/tensorflow_macos/issues/6) 所示,解决方案似乎是从 conda 安装 pandas,直到他们解决此问题。
安装熊猫:
conda install pandas
或者直接从源码安装: https://github.com/pandas-dev/pandas#installation-from-sources
答案 2 :(得分:-1)
使用 Anaconda 可视化 UI 安装到您创建的 conda 环境中。您只需选择您的环境并搜索熊猫即可。