报错

ImportError: numpy.core.multiarray failed to import

解决方法

Jupyter

如果是Jupyter，shutdown内核，再重新打开文件运行。

最好所有运行过的都Shutdown掉。

PyCharm

听说换个文件夹就行。

完整报错

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[3], line 1210 import os11 from skimage.io import imread
---> 12 from skimage.transform import resize13 from skimage.color import rgb2gray14 import matplotlib.pyplot as pltFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/skimage/transform/__init__.py:41 from .hough_transform import (hough_line, hough_line_peaks,2                               probabilistic_hough_line, hough_circle,3                               hough_circle_peaks, hough_ellipse)
----> 4 from .radon_transform import (radon, iradon, iradon_sart,5                               order_angles_golden_ratio)6 from .finite_radon_transform import frt2, ifrt27 from .integral import integral_image, integrateFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/skimage/transform/radon_transform.py:64 from scipy.constants import golden_ratio5 from scipy.fft import fft, ifft, fftfreq, fftshift
----> 6 from ._warps import warp7 from ._radon_transform import sart_projection_update8 from .._shared.utils import convert_to_floatFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/skimage/transform/_warps.py:96 from ._geometric import (SimilarityTransform, AffineTransform,7                          ProjectiveTransform)8 from ._warps_cy import _warp_fast
----> 9 from ..measure import block_reduce11 from .._shared.utils import (get_bound_method_class, safe_as_int, warn,12                              convert_to_float, _to_ndimage_mode,13                              _validate_interpolation_order,14                              channel_as_last_axis,15                              deprecate_multichannel_kwarg)17 HOMOGRAPHY_TRANSFORMS = (18     SimilarityTransform,19     AffineTransform,20     ProjectiveTransform21 )File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/skimage/measure/__init__.py:63 from ._marching_cubes_classic import mesh_surface_area4 from ._regionprops import (regionprops, perimeter,5                            perimeter_crofton, euler_number, regionprops_table)
----> 6 from ._polygon import approximate_polygon, subdivide_polygon7 from .pnpoly import points_in_poly, grid_points_in_poly8 from ._moments import (moments, moments_central, moments_coords,9                        moments_coords_central, moments_normalized, centroid,10                        moments_hu, inertia_tensor, inertia_tensor_eigvals)File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/skimage/measure/_polygon.py:21 import numpy as np
----> 2 from scipy import signal5 def approximate_polygon(coords, tolerance):6     """Approximate a polygonal chain with the specified tolerance.7 8     It is based on the Douglas-Peucker algorithm.(...)29     .. [1] https://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm30     """File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/signal/__init__.py:323314 from ._spline import (  # noqa: F401315     cspline2d,316     qspline2d,(...)319     symiirorder2,320 )322 from ._bsplines import *
--> 323 from ._filter_design import *324 from ._fir_filter_design import *325 from ._ltisys import *File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/signal/_filter_design.py:1613 from numpy.polynomial.polynomial import polyval as npp_polyval14 from numpy.polynomial.polynomial import polyvalfromroots
---> 16 from scipy import special, optimize, fft as sp_fft17 from scipy.special import comb18 from scipy._lib._util import float_factorialFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/optimize/__init__.py:4051 """2 =====================================================3 Optimization and root finding (:mod:`scipy.optimize`)(...)401 402 """404 from ._optimize import *
--> 405 from ._minimize import *406 from ._root import *407 from ._root_scalar import *File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/optimize/_minimize.py:2624 from ._trustregion_krylov import _minimize_trust_krylov25 from ._trustregion_exact import _minimize_trustregion_exact
---> 26 from ._trustregion_constr import _minimize_trustregion_constr28 # constrained minimization29 from ._lbfgsb_py import _minimize_lbfgsbFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/optimize/_trustregion_constr/__init__.py:41 """This module contains the equality constrained SQP solver."""
----> 4 from .minimize_trustregion_constr import _minimize_trustregion_constr6 __all__ = ['_minimize_trustregion_constr']File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/optimize/_trustregion_constr/minimize_trustregion_constr.py:53 from scipy.sparse.linalg import LinearOperator4 from .._differentiable_functions import VectorFunction
----> 5 from .._constraints import (6     NonlinearConstraint, LinearConstraint, PreparedConstraint, strict_bounds)7 from .._hessian_update_strategy import BFGS8 from .._optimize import OptimizeResultFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/scipy/optimize/_constraints.py:86 from ._optimize import OptimizeWarning7 from warnings import warn, catch_warnings, simplefilter
----> 8 from numpy.testing import suppress_warnings9 from scipy.sparse import issparse12 def _arr_to_scalar(x):13     # If x is a numpy array, return x.item().  This will14     # fail if the array has more than one element.File ~/miniconda3/envs/d2l/lib/python3.8/site-packages/numpy/testing/__init__.py:101 """Common test support for all numpy test scripts.2 3 This single module should provide all the common functionality for numpy tests(...)6 7 """8 from unittest import TestCase
---> 10 from ._private.utils import *11 from ._private.utils import (_assert_valid_refcount, _gen_alignment_data)12 from ._private import extbuild, decorators as decFile ~/miniconda3/envs/d2l/lib/python3.8/site-packages/numpy/testing/_private/utils.py:2320 import numpy as np21 from numpy.core import(22      intp, float32, empty, arange, array_repr, ndarray, isnat, array)
---> 23 import numpy.linalg.lapack_lite25 from io import StringIO27 __all__ = [28         'assert_equal', 'assert_almost_equal', 'assert_approx_equal',29         'assert_array_equal', 'assert_array_less', 'assert_string_equal',(...)38         'assert_no_gc_cycles', 'break_cycles', 'HAS_LAPACK64', 'IS_PYSTON',39         ]ImportError: numpy.core.multiarray failed to import

参考

Numpy报错：ImportError: numpy.core.multiarray failed to import