ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
目录
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
问题：
数据里面有无穷大值；
selector = SelectKBest(f_classif, k=10)
X = selector.fit_transform(df, y)解决：
删除包含无穷大值的数据行；
df = df[np.isfinite(df).all(1)]
print(df.shape)
df = df[np.isfinite(df).all(1)]
print(df.shape)
selector = SelectKBest(f_classif, k=10)
X = selector.fit_transform(df, y)
完成错误：
ValueError Traceback (most recent call last)
<ipython-input-5333-9f0c91a72327> in <module>
1 selector = SelectKBest(f_classif, k=10)
----> 2 X = selector.fit_transform(X_original, y)
D:\anaconda\lib\site-packages\sklearn\base.py in fit_transform(self, X, y, **fit_params)
700 else:
701 # fit method of arity 2 (supervised transformation)
--> 702 return self.fit(X, y, **fit_params).transform(X)
703
704
D:\anaconda\lib\site-packages\sklearn\feature_selection\_univariate_selection.py in fit(self, X, y)
343 """
344 X, y = self._validate_data(X, y, accept_sparse=['csr', 'csc'],
--> 345 multi_output=True)
346
347 if not callable(self.score_func):
D:\anaconda\lib\site-packages\sklearn\base.py in _validate_data(self, X, y, reset, validate_separately, **check_params)
431 y = check_array(y, **check_y_params)
432 else:
--> 433 X, y = check_X_y(X, y, **check_params)
434 out = X, y
435
D:\anaconda\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
61 extra_args = len(args) - len(all_args)
62 if extra_args <= 0:
---> 63 return f(*args, **kwargs)
64
65 # extra_args > 0
D:\anaconda\lib\site-packages\sklearn\utils\validation.py in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)
876 ensure_min_samples=ensure_min_samples,
877 ensure_min_features=ensure_min_features,
--> 878 estimator=estimator)
879 if multi_output:
880 y = check_array(y, accept_sparse='csr', force_all_finite=True,
D:\anaconda\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
61 extra_args = len(args) - len(all_args)
62 if extra_args <= 0:
---> 63 return f(*args, **kwargs)
64
65 # extra_args > 0
D:\anaconda\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)
719 if force_all_finite:
720 _assert_all_finite(array,
--> 721 allow_nan=force_all_finite == 'allow-nan')
722
723 if ensure_min_samples > 0:
D:\anaconda\lib\site-packages\sklearn\utils\validation.py in _assert_all_finite(X, allow_nan, msg_dtype)
104 msg_err.format
105 (type_err,
--> 106 msg_dtype if msg_dtype is not None else X.dtype)
107 )
108 # for object dtype data, we only check for NaNs (GH-13254)
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
