Python 如何修复损坏的导入文件？

我就是不能在Python/Anaconda中导入sklearn

我什么都试过了。已卸载所有Python安装。使用pip重新安装所有库。没有快乐。 然后我尝试了Anaconda（只为我安装）。同样的事情-安装了scikit learn，但import sklearn提供了以下功能： 我看到了其他类似的帖子，但也没有从中得到乐趣。请帮忙

<ipython-input-1-b7c74cbf5af0> in <module>
----> 1 import sklearn

~\anaconda3\lib\site-packages\sklearn\__init__.py in <module>
     78     from . import _distributor_init  # noqa: F401
     79     from . import __check_build  # noqa: F401
---> 80     from .base import clone
     81     from .utils._show_versions import show_versions
     82 

~\anaconda3\lib\site-packages\sklearn\base.py in <module>
     19 from . import __version__
     20 from ._config import get_config
---> 21 from .utils import _IS_32BIT
     22 from .utils.validation import check_X_y
     23 from .utils.validation import check_array

~\anaconda3\lib\site-packages\sklearn\utils\__init__.py in <module>
     21 
     22 from .murmurhash import murmurhash3_32
---> 23 from .class_weight import compute_class_weight, compute_sample_weight
     24 from . import _joblib
     25 from ..exceptions import DataConversionWarning

~\anaconda3\lib\site-packages\sklearn\utils\class_weight.py in <module>
      5 import numpy as np
      6 
----> 7 from .validation import _deprecate_positional_args
      8 
      9 

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in <module>
     24 from contextlib import suppress
     25 
---> 26 from .fixes import _object_dtype_isnan
     27 from .. import get_config as _get_config
     28 from ..exceptions import NonBLASDotWarning, PositiveSpectrumWarning

~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in <module>
     16 import scipy.sparse as sp
     17 import scipy
---> 18 import scipy.stats
     19 from scipy.sparse.linalg import lsqr as sparse_lsqr  # noqa
     20 from numpy.ma import MaskedArray as _MaskedArray  # TODO: remove in 0.25

~\anaconda3\lib\site-packages\scipy\stats\__init__.py in <module>
    386 
    387 """
--> 388 from .stats import *
    389 from .distributions import *
    390 from .morestats import *

~\anaconda3\lib\site-packages\scipy\stats\stats.py in <module>
    178 import scipy.special as special
    179 from scipy import linalg
--> 180 from . import distributions
    181 from . import mstats_basic
    182 from ._stats_mstats_common import (_find_repeats, linregress, theilslopes,

~\anaconda3\lib\site-packages\scipy\stats\distributions.py in <module>
      6 #       instead of `git blame -Lxxx,+x`.
      7 #
----> 8 from ._distn_infrastructure import (entropy, rv_discrete, rv_continuous,
      9                                     rv_frozen)
     10 

~\anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py in <module>
     21 
     22 # for root finding for continuous distribution ppf, and max likelihood estimation
---> 23 from scipy import optimize
     24 
     25 # for functions of continuous distributions (e.g. moments, entropy, cdf)

~\anaconda3\lib\site-packages\scipy\optimize\__init__.py in <module>
    385 """
    386 
--> 387 from .optimize import *
    388 from ._minimize import *
    389 from ._root import *

~\anaconda3\lib\site-packages\scipy\optimize\optimize.py in <module>
     34                          line_search_wolfe2 as line_search,
     35                          LineSearchWarning)
---> 36 from ._numdiff import approx_derivative
     37 from scipy._lib._util import getfullargspec_no_self as _getfullargspec
     38 from scipy._lib._util import MapWrapper

~\anaconda3\lib\site-packages\scipy\optimize\_numdiff.py in <module>
      4 from numpy.linalg import norm
      5 
----> 6 from scipy.sparse.linalg import LinearOperator
      7 from ..sparse import issparse, csc_matrix, csr_matrix, coo_matrix, find
      8 from ._group_columns import group_dense, group_sparse

~\anaconda3\lib\site-packages\scipy\sparse\linalg\__init__.py in <module>
    112 from .dsolve import *
    113 from .interface import *
--> 114 from .eigen import *
    115 from .matfuncs import *
    116 from ._onenormest import *

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py in <module>
      7 
      8 """
----> 9 from .arpack import *
     10 from .lobpcg import *
     11 

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py in <module>
     18 
     19 """
---> 20 from .arpack import *

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py in <module>
     41 __all__ = ['eigs', 'eigsh', 'svds', 'ArpackError', 'ArpackNoConvergence']
     42 
---> 43 from . import _arpack
     44 arpack_int = _arpack.timing.nbx.dtype
     45 

ImportError: DLL load failed while importing _arpack: The specified procedure could not be found.```

in
---->1导入sklearn
~\anaconda3\lib\site packages\sklearn\\uuuuuu init\uuuuuuuuuuu.py in
78来自。进口(分销商)初始#noqa:F401
79来自。导入(检查)构建(noqa:F401
--->80从.base导入克隆
81从.utils.\u显示\u版本导入显示\u版本
82
中的~\anaconda3\lib\site packages\sklearn\base.py
19从。导入版本__
20从.\u配置导入获取\u配置
--->21 from.utils导入是32位
22来自.utils.validation导入检查
23来自.utils.validation导入检查\u数组
~\anaconda3\lib\site packages\sklearn\utils\\uuuuuu init\uuuuuuuuuu.py in
21
22从Murrushash导入Murrushash 3_32
--->23.从类权重导入计算类权重，计算样本权重
24从。导入作业库
25从..异常导入数据转换警告
~\anaconda3\lib\site packages\sklearn\utils\class\u weight.py in
5作为np进口numpy
6.
---->7.来自验证导入\u不推荐\u位置参数
8.
9
中的~\anaconda3\lib\site packages\sklearn\utils\validation.py
24从上下文库导入抑制
25
--->26 from.fixes import\u object\u dtype\u isnan
27从。。将获取配置导入为获取配置
28从..异常导入非BlasDotWarning、PositiveSpectrumWarning
中的~\anaconda3\lib\site packages\sklearn\utils\fixes.py
16导入scipy.sparse作为sp
17进口西皮
--->18导入scipy.stats
19从scipy.sparse.linalg导入lsqr作为稀疏lsqr#noqa
20从numpy.ma导入MaskedArray作为_MaskedArray#TODO:在0.25中删除
~\anaconda3\lib\site packages\scipy\stats\\uuuu init\uuuuuu.py in
386
387 """
-->388从.stats导入*
389.从分发导入*
390来自。Morests导入*
中的~\anaconda3\lib\site packages\scipy\stats\stats.py
178进口scipy.special作为专用
179来自scipy import linalg
-->180.进口分配
181从导入mstats_basic
182来自。统计数据公共导入（\u查找\u重复、线性回归、线性回归、，
中的~\anaconda3\lib\site packages\scipy\stats\distributions.py
6#而不是'git dull-Lxxx，+x`。
7 #
---->8从基础设施导入（熵、离散、连续），
9（冷冻）
10
~\anaconda3\lib\site packages\scipy\stats\\u distn\u infrastructure.py in
21
22#用于连续分布ppf的寻根和最大似然估计
--->23来自scipy导入优化
24
25#对于连续分布函数（例如矩、熵、cdf）
~\anaconda3\lib\site packages\scipy\optimize\\uuuu init\uuuuu.py in
385 """
386
-->387.优化导入*
388 from.\u最小化导入*
389 from.\u根导入*
中的~\anaconda3\lib\site packages\scipy\optimize\optimize.py
34行搜索作为行搜索，
35（警告）
--->36来源于_numdiff进口约_衍生产品
37从scipy.\u lib.\u util导入getfullargspec\u no\u self as\u getfullargspec
38来自scipy.\u lib.\u util导入映射包装器
中的~\anaconda3\lib\site packages\scipy\optimize\\u numdiff.py
4来自numpy.linalg进口规范
5.
---->6从scipy.sparse.linalg导入线性构造器
7 from..sparse导入issparse，csc_矩阵，csr_矩阵，coo_矩阵，查找
8 from.\u group\u列导入group\u密集，group\u稀疏
~\anaconda3\lib\site packages\scipy\sparse\linalg\\uuuuu init\uuuuuuuu.py in
112从.dsolve导入*
113.接口导入*
-->114.本征输入*
115从.matfuncs导入*
116来源于(唯一进口)*
~\anaconda3\lib\site packages\scipy\sparse\linalg\eigen\\uuuuuuu init\uuuuuuuuu.py in
7.
8 """
---->9.从arpack导入*
10.lobpcg导入*
11
~\anaconda3\lib\site packages\scipy\sparse\linalg\eigen\arpack\\uuuu init\uuuuu.py in
18
19 """
--->20.从arpack导入*
中的~\anaconda3\lib\site packages\scipy\sparse\linalg\eigen\arpack\arpack.py
41 uuu all uuu=['EIG'、'eigsh'、'SVD'、'ArpackError'、'ARPACKNOCONVERCENCE']
42
--->43来自。导入\u arpack
44 arpack_int=_arpack.timing.nbx.dtype
45
导入错误：导入时DLL加载失败。\u arpack:找不到指定的过程```

我找到了一个解决方案：建议：

$>conda-remove--force-numpy，scipy$>pip-install-numpy$>pip-install-scipy

---

这对我有效。

您尝试过这个解决方案吗？谢谢遗憾的是，它说已经安装，没有乐趣：-(