我不能让我的jupyter笔记本正确地导入任何模块。奇怪的是，我可以用Sublime导入Numpy，但不能导入熊猫。
我在Mac上清除了所有与python相关的内容，并重新安装了anaconda。下面是jupyter上Numpy的导入错误消息：
ImportError Traceback (most recent call last)
<ipython-input-1-5a0bd626bb1d> in <module>()
----> 1 import numpy
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/__init__.pyc in <module>()
183 return loader(*packages, **options)
184
--> 185 from . import add_newdocs
186 __all__ = ['add_newdocs',
187 'ModuleDeprecationWarning',
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/add_newdocs.py in <module>()
11 from __future__ import division, absolute_import, print_function
12
---> 13 from numpy.lib import add_newdoc
14
15 ###############################################################################
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/lib/__init__.py in <module>()
16
17 from . import scimath as emath
---> 18 from .polynomial import *
19 #import convertcode
20 from .utils import *
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/lib/polynomial.py in <module>()
17 from numpy.lib.function_base import trim_zeros, sort_complex
18 from numpy.lib.type_check import iscomplex, real, imag
---> 19 from numpy.linalg import eigvals, lstsq, inv
20
21 class RankWarning(UserWarning):
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/linalg/__init__.py in <module>()
49 from .info import __doc__
50
---> 51 from .linalg import *
52
53 from numpy.testing import Tester
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/linalg/linalg.py in <module>()
27 )
28 from numpy.lib import triu, asfarray
---> 29 from numpy.linalg import lapack_lite, _umath_linalg
30 from numpy.matrixlib.defmatrix import matrix_power
31 from numpy.compat import asbytes
ImportError: dlopen(/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/linalg/lapack_lite.so, 2): Library not loaded: @rpath/lib/libmkl_intel_lp64.dylib
Referenced from: /Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/linalg/lapack_lite.so
Reason: image not found
这是给熊猫的信息：
ImportError Traceback (most recent call last)
<ipython-input-5-d6ac987968b6> in <module>()
----> 1 import pandas
/Users/z-wang/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/__init__.py in <module>()
11 "pandas from the source directory, you may need to run "
12 "'python setup.py build_ext --inplace' to build the C "
---> 13 "extensions first.".format(module))
14
15 from datetime import datetime
ImportError: C extension: scimath not built. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace' to build the C extensions first.
删除所有与Python相关的内容是个坏主意。有些系统文件需要它。希望您没有删除错误的文件，也不必重新安装操作系统。
关于你的问题，你需要在启动jupyter笔记本之前先激活你的conda环境。
若要查看已安装的环境，请在终端窗口中键入以下内容：
conda info --envs
然后键入以下内容以激活您的环境（显然，my_env是您的环境的名称）。
source activate my_env
从这里开始，您将进入康达环境。要打开Jupyter笔记本，只需键入：
jupyter notebook
这个笔记本将链接到您的conda环境，并可以访问其中的所有模块（一旦您激活了上面的环境，请从终端键入conda list来查看它们，或者！Conda列表从笔记本内）。
为了好玩，我们将创建一个名为test_env的快速环境。
conda create -n test_env pandas jupyter notebook qtconsole matplotlib
source activate test_env
jupyter notebook # launches your notebook
或者，要启动qt控制台：
jupyter qtconsole
虽然我们只安装了几个包，但也安装了所有链接的依赖项（包括Numpy）。这是现在的输出conda list：
$ conda list
# packages in environment at /usr/local/miniconda/envs/test_env:
#
appnope 0.1.0 py27_0 defaults
backports-abc 0.4 <pip>
backports.ssl-match-hostname 3.4.0.2 <pip>
backports_abc 0.4 py27_0 defaults
cycler 0.10.0 py27_0 defaults
decorator 4.0.9 py27_0 defaults
freetype 2.5.5 0 defaults
ipykernel 4.3.1 py27_0 defaults
ipython 4.1.2 py27_0 defaults
ipython-genutils 0.1.0 <pip>
ipython_genutils 0.1.0 py27_0 defaults
ipywidgets 4.1.1 py27_0 defaults
jinja2 2.8 py27_0 defaults
jsonschema 2.4.0 py27_0 defaults
jupyter 1.0.0 py27_1 defaults
jupyter-client 4.1.1 <pip>
jupyter-console 4.1.0 <pip>
jupyter-core 4.0.6 <pip>
jupyter_client 4.1.1 py27_0 defaults
jupyter_console 4.1.0 py27_0 defaults
jupyter_core 4.0.6 py27_0 defaults
libpng 1.6.17 0 defaults
markupsafe 0.23 py27_0 defaults
matplotlib 1.5.1 np110py27_0 defaults
mistune 0.7.1 py27_0 defaults
mkl 11.3.1 0 defaults
nbconvert 4.1.0 py27_0 defaults
nbformat 4.0.1 py27_0 defaults
notebook 4.1.0 py27_0 defaults
numpy 1.10.4 py27_0 defaults
openssl 1.0.2g 0 defaults
pandas 0.17.1 np110py27_0 defaults
path.py 8.1.2 py27_1 defaults
pexpect 3.3 py27_0 defaults
pickleshare 0.5 py27_0 defaults
pip 8.0.3 py27_0 defaults
ptyprocess 0.5 py27_0 defaults
pygments 2.1.1 py27_0 defaults
pyparsing 2.0.3 py27_0 defaults
pyqt 4.11.4 py27_1 defaults
python 2.7.11 0 defaults
python-dateutil 2.4.2 py27_0 defaults
python.app 1.2 py27_4 defaults
pytz 2015.7 py27_0 defaults
pyzmq 15.2.0 py27_0 defaults
qt 4.8.7 1 defaults
qtconsole 4.1.1 py27_0 defaults
readline 6.2 2 <unknown>
setuptools 20.1.1 py27_0 defaults
simplegeneric 0.8.1 py27_0 defaults
singledispatch 3.4.0.3 py27_0 defaults
sip 4.16.9 py27_0 defaults
six 1.10.0 py27_0 defaults
sqlite 3.9.2 0 defaults
ssl_match_hostname 3.4.0.2 py27_0 defaults
terminado 0.5 py27_1 defaults
tk 8.5.18 0 http://repo.continuum.io/pkgs/free/osx-64/tk-8.5.18-0.tar.bz2
tornado 4.3 py27_0 defaults
traitlets 4.1.0 py27_0 defaults
wheel 0.29.0 py27_0 defaults
zlib 1.2.8 0 <unknown>
完成后，停用环境。
source deactivate # From within the terminal of the active environment.
如果要删除它，请执行以下操作：
conda env remove -n test_env
