app.py

# 19feb2023
#https://huggingface.co/spaces/keras-io/timeseries_forecasting_for_weather/

import streamlit as st
import datetime
import pandas as pd

backlogmax = 4
today = datetime.date.today()

ayear = int(today.strftime("%Y"))-1
st.write(ayear)
for i in range(ayear-backlogmax,ayear,1):
	df = pd.read_csv("https://data.weather.gov.hk/weatherAPI/opendata/opendata.php?dataType=CLMTEMP&year={}&rformat=csv&station=HKO").format(i)
	st.write(i)
	st.write(df)