def test_reader__remove_stopwords(self):
"""Check whether remove_stopwords deletes all 'low weight' words
from the dataset"""
reader = DSReader(dataset_stopwords)
reader.remove_stopwords()
stop_words = tuple(nltk.corpus.stopwords.words('english'))
for i, row in reader.dataset.iterrows():
for word in row['email'].split(' '):
self.assertEqual(word.lower() not in stop_words, True)
# my_dataset.to_lower()
# my_dataset.remove_digits()
# my_dataset.remove_punctuation_marks()
# my_dataset.remove_duplicates()
# my_dataset.remove_stopwords()
# my_dataset.remove_stopwords()
# print(my_dataset.dataset)
my_dataset1 = DSReader('C:/Users/Masquerade/Downloads/emails.csv')
my_dataset1.to_lower()
my_dataset1.remove_digits()
my_dataset1.remove_punctuation_marks()
my_dataset1.remove_duplicates()
my_dataset1.remove_stopwords()
my_dataset1.remove_stopwords()
# print(my_dataset1.dataset)
list_email, list_label = my_dataset1.vectorize()
print(list_email.shape)
print(list_label.shape)
X, y = list_email, list_label
# X, y = my_dataset1.dataset.email, my_dataset1.dataset.label
X_train, X_test, y_train, y_test = train_test_split(X.values, y.values)
print("______________________________________________")
print(y_test)
print("______________________________________________")