本文介绍了ValueError:数组聚类期间数组不能包含infs或NaN的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试对双聚类进行建模,但是它失败了,因为它说数组包含infs
和nans
,尽管我使用pd.isnull(DataFile).sum()
I'm trying to model biclustering, but it's failing as it says array contains infs
and nans
, though I scanned array using pd.isnull(DataFile).sum()
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import samples_generator as sg
from sklearn.cluster.bicluster import SpectralCoclustering
from sklearn.metrics import consensus_score
DataFile=pd.read_csv("DatafilledProp.csv",sep='\t')
DataFile.drop(DataFile.columns[[0, 1]], axis=1, inplace=True)
plt.matshow(DataFile.as_matrix(), cmap=plt.cm.Blues)
plt.title("Original TransMapping")
data, row_idx, col_idx = sg._shuffle(DataFile.as_matrix(), random_state=0)
plt.matshow(data, cmap=plt.cm.Blues)
plt.title("Shuffled dataset")
plt.show()
Features=DataFile.values
model = SpectralCoclustering(n_clusters=10, random_state=0)
model.fit(Features)
这是我得到的错误:
File "C:\Program Files (x86)\Microsoft Visual Studio 11.0\Common7\IDE\Extensio
ns\Microsoft\Python Tools for Visual Studio\2.1\visualstudio_py_util.py", line 1 06, in exec_file
exec_code(code, file, global_variables)
File "C:\Program Files (x86)\Microsoft Visual Studio 11.0\Common7\IDE\Extensio
ns\Microsoft\Python Tools for Visual Studio\2.1\visualstudio_py_util.py", line 8
2, in exec_code
exec(code_obj, global_variables)
File "D:\ClusteringDemo\DataPreparation.py\DataPreparation.py\Model.py", line
19, in <module>
model.fit(Features)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\sklearn\cluster\bicluster\spectral.py", line 126, in fit
self._fit(X)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\sklearn\cluster\bicluster\spectral.py", line 275, in _fit
u, v = self._svd(normalized_data, n_sv, n_discard=1)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\sklearn\cluster\bicluster\spectral.py", line 139, in _svd
**kwargs)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\sklearn\utils\extmath.py", line 299, in randomized_svd
Q = randomized_range_finder(M, n_random, n_iter, random_state)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\sklearn\utils\extmath.py", line 226, in randomized_range_finder
Q, R = linalg.qr(Y, mode='economic')
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\scipy\linalg\decomp_qr.py", line 127, in qr
a1 = numpy.asarray_chkfinite(a)
File "C:\Users\vinay.sawant\AppData\Local\Continuum\Anaconda\lib\site-packages
\numpy\lib\function_base.py", line 613, in asarray_chkfinite
"array must not contain infs or NaNs")
ValueError: array must not contain infs or NaNs
Press any key to continue .
推荐答案
pd.isnull(DataFile).sum()
仅检查NaN
值,例如:
import pandas as pd
df = pd.DataFrame([[1,2],[3,4],[np.NaN,6]])
df
Out[12]:
0 1
0 1 2
1 3 4
2 NaN 6
pd.isnull(df).sum()
Out[13]:
0 1
1 0
dtype: int64
但是它不会检查inf
,根据错误消息,这是有可能的.
But it will not check for inf
, according to the error it's a possibility.
df3 = pd.DataFrame([[1,2],[3,4],[np.inf,6]])
pd.isnull(df3).sum()
Out[23]:
0 0
1 0
dtype: int64
因此,我怀疑错误是inf
而不是NaN
.
Therefore, I suspect the error is an inf
rather than NaN
.
import numpy as np
np.isinf(df3).sum()
Out[25]:
0 1
1 0
dtype: int64
这篇关于ValueError:数组聚类期间数组不能包含infs或NaN的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!