[Dev] Extending support for City level analysis importing CSV Files

[AnujTiwari]

Checkbox

• I agree to follow code of conduct and to engage in discussion actively.
• I agree to create a new issue with the other templates if developers request.

Question

Please help me to implement the updated version of CovsirPhy for the US City Level COVID-19 reproduction number estimation.
I am getting COVID-19 cases, deaths, and recovery counts from local health departments in CSV fils. Earlier with CovSirPhy 2.21 'DataLoader', I was successfully computing the reproduction numbers using CSV Files but now I am getting many errors. This may be because 'DataLoader' is deprecated in the current version.

Thanks

What tried

My Older Code:

# Create a DataLoader instance 
  loader = cs.DataLoader(update_interval=None)
  
  # Read local Data Frame 
  loader.read_dataframe(df_CasesDeath, parse_dates=["date"], dayfirst=False) 
  # df_CasesDeath has City_Name, Cases, Deaths, and Recovery columns

  # Check the data frame
  print(loader.local)

  # Set necessary columns: country name and population  # with pandas.DataFrame.assign() intenally
  loader.assign(country="US", province= df_CountyPopulation.County.iloc[i], population=df_CountyPopulation.Population.iloc[i])

  # df_CountyPopulation has City_Name, and Population columns
  
  # Check the data frame
  print(loader.local)
  # Lock data by specifing column names to use
  loader.lock(date="date", country="country", province="province", confirmed="confirmed", fatal="fatal", population="population")
  
  # Check locked data
  print(loader.locked)
  # Create JHUData instance
  jhu_data = loader.jhu()
  # Start scenario analysis
  snl = cs.Scenario(country="US", province=df_CountyPopulation.County.iloc[i])
  snl.register(jhu_data)
  snl.records()
  
  print(snl.summary())
  snl.estimate(cs.SIRF)
  _ = snl.history(target="Rt")
  # phase="last" means the last phases
  print(snl.get("Rt", phase="last"))

Additional Context

No response