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

import streamlit as st
import datetime
import pandas as pd
import numpy as np

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

ayear = int(today.strftime("%Y"))-1
st.write(type(ayear))
for i in range(ayear-backlogmax,ayear,1):
	alink = ("https://data.weather.gov.hk/weatherAPI/opendata/opendata.php?dataType=CLMTEMP&year={}&rformat=csv&station=HKO").format(str(i))
	df = pd.read_csv(alink, skiprows=[1,2,3])
	st.write(i)
	df = df.reset_index()  # make sure indexes pair with number of rows
	for index, row in df.iterrows():
		st.write(row[1])