AttributeError: module 'pandas' has no attribute 'Dataframe' [closed]

This is my code

import pandas as pd from sklearn.model_selection import KFold, cross_val_score from sklearn.neighbors import KNeighborsClassifier from sklearn.preprocessing import scale import numpy as np data = pd.read_csv('wine.data.txt', names = ['Class', 'Alcohol', 'Malic acid', 'Ash', 'Alcalinity of ash', 'Magnesium', 'Total phenols', 'Flavanoids', 'Nonflavanoid phenols', 'Proanthocyanins', 'Color intensity', 'Hue','OD280/OD315 of diluted wines', 'Proline']) X = data.values[::, 1:14] y = data.loc[:,'Class'] kf = KFold(n_splits = 5, shuffle = True, random_state = 42) scores = list() for k in range(1, 51): clf = KNeighborsClassifier(n_neighbors = k) scores.append(cross_val_score(clf, X, y, scoring = 'accuracy', cv = kf).mean()) scores2 = pd.Series(scores, index = range(1,51)) scl = pd.Dataframe(data = scale(X)) scl.to_excel('pandas.xlsx') 

This error appears

AttributeError: module 'pandas' has no attribute 'Dataframe'

Although the Series does not swear