Python脚本无法在计算机上使用特定文件

如何解决Python脚本无法在计算机上使用特定文件

我正在使用Python 3.7并正在学习已发布的代码。在我第一次编写代码的尝试中，它没有错误地运行，这意味着所有必需的库（NumPy，Pandas，scikit-learn）都应该由我正确安装。当我更改源文件以处理不同的数据时，它停止工作。但是，它可以在另一台计算机上工作。我使用所有应用程序更新了系统，并尝试缩短了导入的文件，但没有做任何更改。两台计算机上的输入文件相同。

这是带有警告的错误：

/usr/lib64/python3.7/site-packages/sklearn/externals/six.py:7: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
/usr/lib64/python3.7/site-packages/sklearn/utils/__init__.py:4: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
  from collections import Sequence
/usr/lib64/python3.7/site-packages/sklearn/model_selection/_split.py:18: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
  from collections import Iterable
/usr/lib64/python3.7/site-packages/sklearn/model_selection/_search.py:16: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
  from collections import Mapping,namedtuple,defaultdict,Sequence
/usr/lib64/python3.7/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
  from numpy.core.umath_tests import inner1d
Traceback (most recent call last):
  File "algorithm2.py",line 26,in <module>
    classifier.fit(X_train,y_train)
  File "/usr/lib64/python3.7/site-packages/sklearn/ensemble/forest.py",line 248,in fit
    y = check_array(y,accept_sparse='csc',ensure_2d=False,dtype=None)
  File "/usr/lib64/python3.7/site-packages/sklearn/utils/validation.py",line 453,in check_array
    _assert_all_finite(array)
  File "/usr/lib64/python3.7/site-packages/sklearn/utils/validation.py",line 44,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').

这是代码：

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

data=open("./data3.csv")

headernames=data.readline()
dataset=pd.read_csv("data3.csv")
dataset.head()

X = dataset.iloc[:,:-2].values
y = dataset.iloc[:,-1].values

from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size = 0.30)

from sklearn.ensemble import RandomForestClassifier
classifier = RandomForestClassifier(n_estimators = 50)
classifier.fit(X_train,y_train)

y_pred = classifier.predict(X_test)

from sklearn.metrics import classification_report,confusion_matrix,accuracy_score
result = confusion_matrix(y_test,y_pred)
print("Confusion Matrix:")
print(result)
result1 = classification_report(y_test,y_pred)
print("Classification Report:",)
print (result1)
result2 = accuracy_score(y_test,y_pred)
print("Accuracy:",result2)

解决方法

您是否在代码中使用 imp 模块？像import imp一样？
如果是这样，您可以尝试使用import importlib。

我还看到与收藏集相关的警告。
尝试检查提供的答案in this SO answer

除此之外，您还有
ValueError: Input contains NaN,infinity or a value too large for dtype('float64').错误
您可能需要再次查看输入文件。输入似乎有问题。