Create app.py

app.py

@@ -0,0 +1,67 @@
+import streamlit as st
+import pandas as pd
+
+
+
+from PIL import Image
+image = Image.open('KYB.png')
+st.image(image, caption='Powered by TedCas')
+
+
+uploaded_file = st.file_uploader("Choose product file", type="csv")
+
+if uploaded_file:
+    df = pd.read_csv(uploaded_file, delimiter=';', encoding='utf8')
+    import numpy as np
+
+    #select only the numeric columns in the DataFrame
+    dfnumeric=df.select_dtypes(include=np.number)
+
+
+
+
+def write_excel(data,date):
+    
+    
+    # Python3 code to select
+    # data from excel
+    import xlwings as xw
+ 
+    # Specifying a sheet
+    ws = xw.Book("07-253-b Estudio capacidad (con grafico).xls").sheets['DATOS']
+ 
+    # Selecting data from
+    # a single cell
+    v1 = ws.range("A1:A7").value
+    # v2 = ws.range("F5").value
+    print("Result:", v1)
+    length=len(data)
+    for i in range(len(date)):
+        #ws.range(9+i,0).value = date[i]
+        #ws.range(9+i,1).value = data[i]
+        #ws.range(1,0).value = "pepe"
+        ws.range("A"+str(9+i)).value = date[i]
+        ws.range("B"+str(9+i)).value = data[i]
+
+def KYBConvert(df,make_choice):
+    #INPUT FILE
+
+    df.to_excel('export.xlsx',index=False)
+    
+    date=pd.to_datetime(df.iloc[:,1], format="%y%m%d-%H:%M")
+    #data=pd.Series(df.iloc[:,4],dtype="int")
+    data=pd.Series(df.loc[:,make_choice],dtype="int")
+    
+    write_excel(data,date)
+    
+
+
+if uploaded_file:
+    st.dataframe(dfnumeric)
+    makes = df.select_dtypes([np.number]).columns
+    make_choice = st.sidebar.selectbox('Select cathegory:', makes)
+    print(make_choice)
+    if make_choice!='ID':
+        KYBConvert(df,make_choice)
+        st.write("Puedes encontrar tu excel en: C:/Users/15572890/Desktop/I+D/ProyectosPython/KYB/07-253-b Estudio capacidad (con grafico).xls")
+