我有一個形狀的數(shù)據(jù)幀(144072564)。嘗試使用低方差函數(shù)刪除低方差。但是，當(dāng)我調(diào)用fit_transform時，我得到以下錯誤：

ValueError:輸入包含NaN、infinity或?qū)type(“float64”)太大的值。在

在使用VarianceThreshold之前，我使用以下代碼替換df中所有丟失的值：df.replace('null',np.NaN, inplace=True)

df.replace(r'^\s*$', np.NaN, regex=True, inplace=True)

df.fillna(value=df.median(), inplace=True)

之后，我使用以下方法檢查了數(shù)據(jù)幀中的任何空/無限值：

^{pr2}$

我得到了一個空序列作為輸出，這意味著我所有的列都沒有丟失的值。結(jié)果是：========= COLUMNS WITH NULL VALUES =================

Series([], dtype: bool)

========= COLUMNS WITH INFINITE VALUES =================

Series([], dtype: bool)

完整錯誤跟蹤：Traceback (most recent call last):

File "/home/users/MyUsername/MyProject/src/main/python/Main.py", line 222, in

main()

File "/home/users/MyUsername/MyProject/src/main/python/Main.py", line 218, in main

getAllData()

File "/home/users/MyUsername/MyProject/src/main/python/Main.py", line 95, in getAllData

predictors, labels, dropped_features = fselector.process(variance=True, corr=True, bestf=True, bestfk=200)

File "/home/users/MyUsername/MyProject/src/main/python/classes/featureselector.py", line 54, in process

self.getVariance(threshold=(.95 * (1 - .95)))

File "/home/users/MyUsername/MyProject/src/main/python/classes/featureselector.py", line 136, in getVariance

self.removeLowVarianceColumns(df=self.X, thresh=threshold)

File "/home/users/MyUsername/MyProject/src/main/python/classes/featureselector.py", line 213, in removeLowVarianceColumns

selector.fit_transform(df)

File "/usr/lib64/python2.7/site-packages/sklearn/base.py", line 494, in fit_transform

return self.fit(X, **fit_params).transform(X)

File "/usr/lib64/python2.7/site-packages/sklearn/feature_selection/variance_threshold.py", line 64, in fit

X = check_array(X, ('csr', 'csc'), dtype=np.float64)

File "/usr/lib64/python2.7/site-packages/sklearn/utils/validation.py", line 407, in check_array

_assert_all_finite(array)

File "/usr/lib64/python2.7/site-packages/sklearn/utils/validation.py", line 58, in _assert_all_finite

" or a value too large for %r." % X.dtype)

ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

所以，我不確定要檢查什么，這似乎不是缺少值的問題，但我也無法獲得導(dǎo)致問題的列/值。在

我在這里看到了幾個線程都以缺少值結(jié)尾，但這似乎不是問題所在。在

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