Update app.py

app.py

@@ -6,8 +6,6 @@ import plotly.graph_objects as go
 
 st.set_page_config(page_title="Plotly Graphing Libraries",layout='wide')
 
-import streamlit as st
-
 uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)
 for uploaded_file in uploaded_files:
     bytes_data = uploaded_file.read()
@@ -68,9 +66,6 @@ for uploaded_file in uploaded_files:
         fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
         #fig.show()
         st.plotly_chart(fig, use_container_width=True)
-        
-        
-    
    
 #show replace     
     if st.checkbox("replace"):
@@ -91,25 +86,24 @@ for uploaded_file in uploaded_files:
                 df =pd.read_excel(r"F:\book2.xlsx")       
                 mydf.add_rows(df)    
 
-st.markdown("WebGL Rendering with 1,000,000 Points")
-import plotly.graph_objects as go
-import numpy as np
-N = 1000000
-fig = go.Figure()
-fig.add_trace(
-    go.Scattergl(
-        x = np.random.randn(N),
-        y = np.random.randn(N),
-        mode = 'markers',
-        marker = dict(
-            line = dict(
-                width = 1,
-                color = 'DarkSlateGrey')
-        )
-    )
-)
+#st.markdown("WebGL Rendering with 1,000,000 Points")
+
+#N = 1000000
+#fig = go.Figure()
+#fig.add_trace(
+    #go.Scattergl(
+        #x = np.random.randn(N),
+        #y = np.random.randn(N),
+        #mode = 'markers',
+        #marker = dict(
+            #line = dict(
+                #width = 1,
+                #color = 'DarkSlateGrey')
+        #)
+    #)
+#)
 #fig.show()
-st.plotly_chart(fig, use_container_width=True)
+#st.plotly_chart(fig, use_container_width=True)