My output:
def load_data(self):
"""
Load data from list of paths
:return: 3D-array X and 2D-array y
"""
X = None
y = None
df = pd.read_excel('data/Data.xlsx', header=None)
for i in range(len(df.columns)):
sentences_ = df[i].to_numpy().tolist()
label_vec = [0.0 for _ in range(0, self.n_class)]
label_vec[i] = 1.0
labels_ = [label_vec for _ in range(0, len(sentences_))]
if X is None:
X = sentences_
y = labels_
else:
X += sentences_
y += labels_
X, max_length = self.tokenize_sentences(X)
X = self.word_embed_sentences(X, max_length=self.max_length)
return np.array(X), np.array(y)
This is my code with pandas library as pd. When I run in Google Colab I get the following error:
AttributeError: 'Series' object has no attribute 'to_numpy'
Check the version of your pandas library:
import pandas
print(pandas.__version__)
If your version is less than 0.24.1:
pip install --upgrade pandas