当我使用通常的conda环境在Jupyter笔记本中导入seaborn时,出现错误消息“导入错误:DLL加载失败”。我发现使用conda根环境时没有出现此错误。
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ImportError Traceback (most recent call last)
<ipython-input-12-a071ce18c0c5> in <module>
1
----> 2 import seaborn as sns
3 get_ipython().run_line_magic('matplotlib', 'inline')
~\Anaconda3\envs\udemyVenv\lib\site-packages\seaborn\__init__.py in <module>
4
5 # Import seaborn objects
----> 6 from .rcmod import *
7 from .utils import *
8 from .palettes import *
~\Anaconda3\envs\udemyVenv\lib\site-packages\seaborn\rcmod.py in <module>
3 import functools
4 import matplotlib as mpl
----> 5 from . import palettes, _orig_rc_params
6
7
~\Anaconda3\envs\udemyVenv\lib\site-packages\seaborn\palettes.py in <module>
10 from .external.six.moves import range
11
---> 12 from .utils import desaturate, set_hls_values, get_color_cycle
13 from .colors import xkcd_rgb, crayons
14
~\Anaconda3\envs\udemyVenv\lib\site-packages\seaborn\utils.py in <module>
5
6 import numpy as np
----> 7 from scipy import stats
8 import pandas as pd
9 import matplotlib as mpl
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\stats\__init__.py in <module>
365 from __future__ import division, print_function, absolute_import
366
--> 367 from .stats import *
368 from .distributions import *
369 from .morestats import *
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\stats\stats.py in <module>
171 from scipy._lib._util import _lazywhere
172 import scipy.special as special
--> 173 from . import distributions
174 from . import mstats_basic
175 from ._stats_mstats_common import _find_repeats, linregress, theilslopes, siegelslopes
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\stats\distributions.py in <module>
8 from __future__ import division, print_function, absolute_import
9
---> 10 from ._distn_infrastructure import (entropy, rv_discrete, rv_continuous,
11 rv_frozen)
12
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\stats\_distn_infrastructure.py in <module>
22
23 # for root finding for discrete distribution ppf, and max likelihood estimation
---> 24 from scipy import optimize
25
26 # for functions of continuous distributions (e.g. moments, entropy, cdf)
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\optimize\__init__.py in <module>
385
386 from .optimize import *
--> 387 from ._minimize import *
388 from ._root import *
389 from ._root_scalar import *
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\optimize\_minimize.py in <module>
28 from ._trustregion_krylov import _minimize_trust_krylov
29 from ._trustregion_exact import _minimize_trustregion_exact
---> 30 from ._trustregion_constr import _minimize_trustregion_constr
31
32 # constrained minimization
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\optimize\_trustregion_constr\__init__.py in <module>
2
3
----> 4 from .minimize_trustregion_constr import _minimize_trustregion_constr
5
6 __all__ = ['_minimize_trustregion_constr']
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\optimize\_trustregion_constr\minimize_trustregion_constr.py in <module>
2 import time
3 import numpy as np
----> 4 from scipy.sparse.linalg import LinearOperator
5 from .._differentiable_functions import VectorFunction
6 from .._constraints import (
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\sparse\linalg\__init__.py in <module>
115 from .dsolve import *
116 from .interface import *
--> 117 from .eigen import *
118 from .matfuncs import *
119 from ._onenormest import *
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py in <module>
9 from __future__ import division, print_function, absolute_import
10
---> 11 from .arpack import *
12 from .lobpcg import *
13
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py in <module>
20 from __future__ import division, print_function, absolute_import
21
---> 22 from .arpack import *
~\Anaconda3\envs\udemyVenv\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py in <module>
43 __all__ = ['eigs', 'eigsh', 'svds', 'ArpackError', 'ArpackNoConvergence']
44
---> 45 from . import _arpack
46 import numpy as np
47 import warnings
ImportError: DLL load failed: The specified module could not be found.
为什么会这样?有什么方法可以使用我用conda创建的虚拟环境,而不必将内核设置为根环境?
答案 0 :(得分:0)
几乎肯定是%PATH%环境变量缺少目录。最常见的错误是包含DLL的目录不在%PATH%中,因为它与其余DLL的安装位置不同。