Update app.py

app.py

@@ -1,16 +1,9 @@
 import streamlit as st
 import pandas as pd
-import numpy as np
 
 from sklearn.datasets import make_classification
 
-st.title('python')
-
-df1 = pd.DataFrame(
-   np.random.randn(10, 5),
-   columns=('col %d' % i for i in range(5)))
-
-st.table(df1)
+st.title('sklearn')
 
 X, y = make_classification(n_samples=10_000
     , n_features=7
@@ -20,5 +13,7 @@ X, y = make_classification(n_samples=10_000
 
 df2 = pd.DataFrame(y).value_counts()
 df2.index = range(len(df2))
+
 print(df2)
-st.table(df2)
+st.table(df2)
+st.dataframe(df2)