我正在尝试从scipy.intgrate导入solve_ivp from scipy.integrate import solve_ivp as odesolver 我得到了这个错误: line 9, in <module>
from scipy.integrate import solve_ivp as odesolver
File "C:\ProgramData\Anaconda3\lib\site-packages\scipy\integrate\__init__.py", line 94, in <module>
from ._b
from sklearn.feature_extraction.text import CountVectorizer
得到这个错误
from sklearn.feature_extraction.text import CountVectorizer
File "C:\Users\Anaconda3\lib\site-packages\sklearn\__init__.py", line 57, in <module>
from .base import clone
File "C:\Users\Anaconda3\lib\site
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
我不断地收到:
ImportError: DLL load failed while importing _arpack: The specified procedure could not be found.
我正在尝试安装pytorch-geometric,但是当我调用import torch_geometric时,我得到了错误: ImportError: DLL load failed: The specified procedure could not be found. 回溯: <ipython-input-7-c36e13293883> in <module>
----> 1 import torch_geometric
D:\programs\anaconda\lib\site-packages\torch_geometric\__init__.py i
当我使用抽象/黑箱线性算子时,上述函数会失败。下面是一个很小的例子:
import numpy as np
import scipy.sparse.linalg as la
# Just generate an n X n matrix
n = 9
a = np.random.normal( size = n * n )
a = a.reshape( (n,n) )
# A is a black-box linear operator
def A(v):
global a
return np.dot( a, v )
# If you don't define
我已经相应地更改了ARmake.inc文件。该平台被转换为LINUX。以下是问题所在:
root@sid-OptiPlex-7010:/home/sid/Downloads/ARPACK# make lib
/bin/sh: 4: cd: can't cd to home/sid/Downloads/ARPACK/BLAS
Making lib in home/sid/Downloads/ARPACK/BLAS
make[1]: Entering directory `/home/sid/Downloads/ARPACK'
Unknown target single, try:
我目前正在尝试安装ARPACK,以便在大型信息网络中使用Armadillo中的稀疏矩阵。的说明
但是,当我在更改文件所在的目录后尝试运行make lib时,我在自述文件的这一行遇到了问题
7. Do "make lib" in the current directory to build the standard library
"libarpack_$(PLAT).a"
在子文件夹中,只有四个不同的平台文件,它们是
ARmake.CRAY
ARmake.SGI
ARmake.SP2
ARmake.SUN4
缺省值为SUN4,由于行的原因,平台的文件必
我在运行makefile时遇到了这个错误:
clean: cleanlib
cleanlib:
( cd "D:\third party components\arpack96\ARPACK\BLAS"; "D:\third party components\arpack96\ARPACK\make" clean )
用于运行make文件的命令是
make clean
这是不可理解的,因为这两条路径实际上都是在我的机器上可用的(我非常小心地检查了它)。
我正在使用Windows,不确定这是否有区别。
有什么想法吗?
我已经安装了numpy,熊猫和matplot,但是安装的时候我不可能。我尝试过更新Numpy,通过cmd命令安装海运,但没有成功。我每次都重新启动内核。
import seaborn as sns
我不断地收到;
ImportError: DLL load failed while importing _arpack: The specified procedure could not be found.
我用过:
!pip install seaborn
pip install numpy --upgrade --user
pip import seaborn as sns df = sn
在Mac上安装scipyp的问题。
我的Mac是10.8,gcc是4.2.1,gfortran是GNU Fortran (GCC) 4.2.1。
在我下载了这个包并键入sudo python setup.py build之后,它将输出:
Could not locate executable f95
customize AbsoftFCompiler
Could not locate executable f90
Could not locate executable f77
customize IBMFCompiler
Could not locate executable xlf90
Co
我想使用scipy对稀疏矩阵进行奇异值分解:
from svd import compute_svd
print("The size of raw matrix: "+str(len(raw_matrix))+" * "+str(len(raw_matrix[0])))
from scipy.sparse import dok_matrix
dok = dok_matrix(raw_matrix)
matrix = compute_svd( dok )
函数compute_svd是我定制的模块,如下所示:
def compute_svd( matrix ):
我正在使用木星执行下面的代码,但是得到了错误
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
music_data = pd.read_csv('music.csv')
X = music_data.drop(columns=['genre'])
y = music_data['genre']
model = DecisionTreeClassifier()
model.fit(X,y)
music_data
发生错误:
ImportError
我有一个C++单元测试项目,我使用LoadLibraryEx函数加载我为我的应用程序创建的dll,但是LoadLibraryEx失败并返回NULL,然后调用GetLastError函数,错误为182。我还注意到,在执行LoadLibraryEx行后,输出窗口中出现了一个Exception thrown at 0x771718D6 (ntdll.dll) in vstest.executionengine.x86.exe: 0xC0000138: Ordinal Not Found.错误。
请注意,当我运行应用程序时,库将成功加载,只有在从单元测试加载时加载才会失败。