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import streamlit as st
import pandas as pd
astations = [
["hongkongobservatory","HKO",22.3022566,114.1722662,"Hong Kong Observatory"],
["kingspark","KP",22.3115408,114.1685675,"Observatory Meteorological Station, King's Park"],
]
astationcolumns = ['akey','astationcode','alatitude','alongitude','atitle',]
acontainer1 = st.empty()
acontainer2 = st.empty()
acontainer3 = st.empty()
def asubmit(aparam):
adf2 = aparam["adataframe"]
aselecteditem = adf2.loc[adf2["atitle"]==aparam["aselected"], "astationcode"]
adf3 = pd.DataFrame(
[
[
adf2.loc[adf2["atitle"]==aparam["aselected"], "alatitude"],
adf2.loc[adf2["atitle"]==aparam["aselected"], "alongitude"],
]
],
columns=['lat', 'lon']
)
aparam["acontainer"].dataframe(adf3)
adf3 = pd.DataFrame(np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],columns=['lat', 'lon'])
aparam["acontainer"].dataframe(adf3)
return
abacklogmax = 10
atoday = datetime.date.today()
ayear = int(atoday.strftime("%Y"))-0
amonth = int(atoday.strftime("%m"))
amonthday = int(atoday.strftime("%d"))
csvString = ""
csvString += (",").join(mytitles)
adf3 = pd.DataFrame(columns=mytitles)
for i in range((ayear-abacklogmax),ayear,1):
alink = ("https://data.weather.gov.hk/weatherAPI/opendata/opendata.php?dataType=CLMTEMP&year={}&rformat=csv&station={}").format(str(i),aselecteditem.values[0])
adf4 = pd.read_csv(alink, skiprows=[0,1,2], skipfooter=3, engine='python', on_bad_lines='skip')
adf4 = df.reset_index() # make sure indexes pair with number of rows
for index, row in adf4.iterrows():
if (row[2]!=amonth) or (row[3]!=amonthday):
continue
adate = ("{:02d}.{:02d}.{} 00:00:00").format(row[3], row[2], row[1])
csvString += '\n'+(",").join([adate,str(row[4]),""])
st.write(row[0],adate)
adf3 = adf3.append({"Date Time":adate,"T (degC)":(row[4]),}, ignore_index=True)
break
adf3 = pd.read_csv(StringIO(csvString), sep=",")
aparam["acontainer"].dataframe(adf3)
adf = pd.DataFrame(
astations,
columns=astationcolumns
)
aoption = acontainer1.selectbox(
'Which station?',
adf['atitle']
)
if acontainer2.button("Submit") == True:
asubmit(aparam={"aselected":aoption,"acontainer":acontainer3,"adataframe":adf,})
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