oro*_*ome 7 macos packages numpy matplotlib osx-mavericks
当我
import matplotlib
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我没有错,但是当我
import matplotlib.pyplot
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我明白了
RuntimeError: module compiled against API version 8 but this version of numpy is 7
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/2.7/site-packages/matplotlib/pyplot.py", line 24, in <module>
import matplotlib.colorbar
File "/Library/Python/2.7/site-packages/matplotlib/colorbar.py", line 27, in <module>
import matplotlib.artist as martist
File "/Library/Python/2.7/site-packages/matplotlib/artist.py", line 8, in <module>
from transforms import Bbox, IdentityTransform, TransformedBbox, \
File "/Library/Python/2.7/site-packages/matplotlib/transforms.py", line 35, in <module>
from matplotlib._path import (affine_transform, count_bboxes_overlapping_bbox,
ImportError: numpy.core.multiarray failed to import
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这看起来像版本错误 ; 但yolk
我说我有一个最新的版本,并pip
说一切都是最新的,不会帮助"真正"更新事情.
我该怎么做才能确保必要的软件包"真正"最新以避免此错误; 什么包需要"真正"更新(matplotlib; numpy;其他?).
卸载和重新调整numpy(使用pip)没有帮助.
是不是以某种方式让我最近将matplotlib更新为"太新"一个版本,蹩脚的numpy滞后版本?
我sys.path
是:
['',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages',
'/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old',
'/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload',
'/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC',
'/Library/Python/2.7/site-packages']
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并且Scypi堆栈安装在site-packages
由pip维护的位置.OS X 10.9,Apple Python 2.7.5,所有软件包版本都是由PiPy中的pip发现的.
强制重新安装在这种情况下有效,因为在类似的情况下它通常会这样做:
sudo pip install -U --force-reinstall scipy
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