#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' )