python-RuntimeError：针对API版本0xc编译的模块,但此版本的numpy为0xb

我正在尝试学习机器学习,但无法解决以下错误.

[我的环境]

> Mac High Sierra 10.13.2
> Python3.4.5
> Numpy1.13.3

[命令]

$python3 -c "import jupyter, matplotlib, numpy, pandas, scipy, sklearn"

[错误]

RuntimeError: module compiled against API version 0xc but this version of numpy is 0xb
Traceback (most recent call last):
  File "/Users/uekyo/ml/env/lib/python3.4/site-packages/pandas/__init__.py", line 26, in <module>
    from pandas._libs import (hashtable as _hashtable,
  File "/Users/uekyo/ml/env/lib/python3.4/site-packages/pandas/_libs/__init__.py", line 4, in <module>
    from .tslib import iNaT, NaT, Timestamp, timedelta, OutOfBoundsDatetime
  File "pandas/_libs/tslib.pyx", line 1, in init pandas._libs.tslib
ImportError: numpy.core.multiarray Failed to import

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/uekyo/ml/env/lib/python3.4/site-packages/pandas/__init__.py", line 35, in <module>
    "the C extensions first.".format(module))
ImportError: C extension: numpy.core.multiarray Failed to import not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace --force' to build the C extensions first.

[我尝试过的东西]

我了解numpy是错误的.所以我尝试了下面的事情,但错误仍然出现.

〜1〜

sudo mv /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy_old

〜2〜

pip3 uninstall numpy
pip3 install numpy  -I

谢谢.

解决方法:

好像是由于熊猫版本高于0.21.0和numpy
TensorFlow拉到的版本1.13.3不能很好地配合使用.
这是我最终解决的方法：

# ipython
Python 2.7.6 (default, Nov 23 2017, 15:49:48)
Type "copyright", "credits" or "license" for more information.

IPython 4.2.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import tensorflow as tf
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
RuntimeError: module compiled against API version 0xc but this version of numpy is 0xb

In [2]: !pip install pandas==0.21.0
Collecting pandas==0.21.0
/usr/local/lib/python2.7/dist-packages/pip/_vendor/requests/packages/urllib3/util/ssl_.py:318: SNIMissingWarning: An HTTPS request
has been made, but the SNI (Subject Name Indication) extension to TLS is not available on this platform. This may cause the server
to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve
 this. For more information, see https://urllib3.readthedocs.io/en/latest/security.html#snimissingwarning.
  SNIMissingWarning
/usr/local/lib/python2.7/dist-packages/pip/_vendor/requests/packages/urllib3/util/ssl_.py:122: InsecurePlatformWarning: A true SSLC
ontext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to f
ail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest
/security.html#insecureplatformwarning.
  InsecurePlatformWarning
  Downloading pandas-0.21.0-cp27-cp27mu-manylinux1_x86_64.whl (24.3MB)
    100% |################################| 24.3MB 52kB/s
Requirement already satisfied: pytz>=2011k in /usr/local/lib/python2.7/dist-packages (from pandas==0.21.0)
Requirement already satisfied: numpy>=1.9.0 in /usr/local/lib/python2.7/dist-packages (from pandas==0.21.0)
Requirement already satisfied: python-dateutil in /usr/local/lib/python2.7/dist-packages (from pandas==0.21.0)
Requirement already satisfied: six>=1.5 in /usr/local/lib/python2.7/dist-packages (from python-dateutil->pandas==0.21.0)
Installing collected packages: pandas
  Found existing installation: pandas 0.21.1
    Uninstalling pandas-0.21.1:
      Successfully uninstalled pandas-0.21.1
Successfully installed pandas-0.21.0

In [3]: del tf

In [4]: import tensorflow as tf