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app.py

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+#Run with my server
+#http://74.208.182.248:8501
+#python3 -m streamlit.cli run agaconverter/converter02.py
+
+#Deplo on internet Hugging face
+#https://towardsdatascience.com/3-easy-ways-to-deploy-your-streamlit-web-app-online-7c88bb1024b1
+
+import streamlit as st
+import pandas as pd
+
+#@st.experimental_memo
+#def convert_df(df):
+#   return df.to_csv(index=False).encode('utf-8')
+def forma(entra,decimales,espacios):
+    if decimales==0:
+        a_int=int(entra)
+        a_cadena=str(a_int)
+        a_espacios=a_cadena.rjust(espacios," ")
+    else:    
+        a_decimal=float(entra)
+        a_cadena=str(round(a_decimal,decimales))
+        a_espacios=a_cadena.rjust(espacios," ")
+    return a_espacios
+
+
+st.title('CSV converter from standard format to Weather Extremes extrange format')
+
+st.subheader('Drag and drop here the standard CSV')
+spectra = st.file_uploader("upload file", type={"csv", "txt"})
+if spectra is not None:
+    df = pd.read_csv(spectra)
+    st.subheader('This is the standard CSV')
+    st.write(df)
+    st.subheader('Weather Extremes.exe extrange CSV format')
+
+    data=df.values.tolist()
+    st.write(data)
+
+    new_format ="DAYTON,OH,,,,,,,,,,\r\n"
+    new_format+="Month,Day,Hour,Drybulb,KT,Horiz_Solar,Direct_Normal,Diffuse,DewPoint,WetBulb,RelHum,WindSpeed\r\n"
+    new_format+=" , , ,C, ,kJ/m2,kJ/m2,kJ/m2,C,C,%,m/sec\r\n"
+    
+    for renglon in range(2,len(data)):
+        print(renglon,data[renglon])
+        try:
+            #a.rjust(15," ")
+            #(round(float(data[renglon][3]),1)).rjust(5," ")
+            new_format+=data[renglon][0]+','+data[renglon][1]+','+data[renglon][2]+',' +forma(data[renglon][3],1,5)+','+forma(data[renglon][4],2,6)+','+forma(data[renglon][5],0,4)+','+forma(data[renglon][6],0,4)+','+forma(data[renglon][7],0,4)+','+forma(data[renglon][8],1,5)+','+forma(data[renglon][9],1,5)+','+forma(data[renglon][10],1,5)+','+forma(data[renglon][11],1,5)+','+'\r\n'
+        except:
+            print('error',renglon,data[renglon])
+
+    csv = new_format #convert_df(data)
+
+    st.download_button(
+        "Press to Download",
+        csv,
+        "file.csv",
+        "text/csv",
+        key='download-csv'
+    )    

requirements.txt

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+streamlit
+pandas