Update app.py

app.py

@@ -6,6 +6,72 @@ 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()
+    st.write("filename:", uploaded_file.name)
+    st.write(bytes_data)
+    filevalue = uploaded_file.getvalue()
+    st.write(filevalue)
+    st.write(uploaded_file.name)
+    st.write(uploaded_file.type)
+    st.write(uploaded_file.size)
+    #st.write(uploaded_file.last_modified)
+    #st.write(uploaded_file.charset)
+    st.write(uploaded_file.getbuffer())
+    st.write(uploaded_file.getbuffer().nbytes)
+    st.write(uploaded_file.getbuffer().tobytes())
+    st.write(uploaded_file.getbuffer().tolist())
+    st.write(uploaded_file.getbuffer().itemsize)
+    st.write(uploaded_file.getbuffer().ndim)
+    st.write(uploaded_file.getbuffer().shape)
+    st.write(uploaded_file.getbuffer().strides)
+    st.write(uploaded_file.getbuffer().suboffsets)
+    st.write(uploaded_file.getbuffer().readonly)
+    st.write(uploaded_file.getbuffer().c_contiguous)
+    st.write(uploaded_file.getbuffer().f_contiguous)
+    st.write(uploaded_file.getbuffer().contiguous)
+    st.write(uploaded_file.getbuffer().itemsize)
+    st.write(uploaded_file.getbuffer().nbytes)
+    st.write(uploaded_file.getbuffer().ndim)
+    st.write(uploaded_file.getbuffer().shape)
+    st.write(uploaded_file.getbuffer().strides)
+    st.write(uploaded_file.getbuffer().suboffsets)
+    st.write(uploaded_file.getbuffer().readonly)
+    st.write(uploaded_file.getbuffer().c_contiguous)
+    st.write(uploaded_file.getbuffer().f_contiguous)
+    st.write(uploaded_file.getbuffer().contiguous)
+    st.write(uploaded_file.getbuffer().itemsize)
+    st.write(uploaded_file.getbuffer().nbytes)
+    st.write(uploaded_file.getbuffer().ndim)
+    st.write(uploaded_file.getbuffer().shape)
+    st.write(uploaded_file.getbuffer().strides)
+    st.write(uploaded_file.getbuffer().suboffsets)
+    st.write(uploaded_file.getbuffer().readonly)
+    st.write(uploaded_file.getbuffer().c_contiguous)
+    st.write(uploaded_file.getbuffer().f_contiguous)
+    
+   
+#show replace     
+    if st.checkbox("replace"):
+        mydf = st.dataframe(df)
+        columns = st.selectbox("Select  column", df.columns)
+        old_values = st.multiselect("Current Values",list(df[columns].unique()),list(df[columns].unique()))
+        with st.form(key='my_form'):
+            col1,col2 = st.beta_columns(2)
+            st_input = st.number_input if is_numeric_dtype(df[columns]) else st.text_input
+        with col1:
+            old_val = st_input("old value")
+        with col2:
+            new_val = st_input("new value")
+            if st.form_submit_button("Replace"):
+                df[columns]=df[columns].replace(old_val,new_val)
+                st.success("{} replace with {} successfully ".format(old_val,new_val))
+                excel = df.to_excel(r"F:\book2.xlsx", index = False, header=True,encoding="utf-8")
+                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