text: 
  import pandas as pd
  import numpy as np
  
  path="./RAWCSV/2021-10-25"
  
  STATE_NAMES = {
  #   'AP': 'Andhra Pradesh',
    'AR': 'Arunachal Pradesh',
    'AS': 'Assam',
    'BR': 'Bihar',
    'CT': 'Chhattisgarh',
    'GA': 'Goa',
    'GJ': 'Gujarat',
    'HR': 'Haryana',
    'HP': 'Himachal Pradesh',
    'JH': 'Jharkhand',
    'KA': 'Karnataka',
    'KL': 'Kerala',
    'MP': 'Madhya Pradesh',
    'MH': 'Maharashtra',
    'MN': 'Manipur',
    'ML': 'Meghalaya',
    'MZ': 'Mizoram',
    'NL': 'Nagaland',
    'OR': 'Odisha',
    'PB': 'Punjab',
    'RJ': 'Rajasthan',
    'SK': 'Sikkim',
    'TN': 'Tamil Nadu',
    'TG': 'Telangana',
    'TR': 'Tripura',
    'UT': 'Uttarakhand',
    'UP': 'Uttar Pradesh',
    'WB': 'West Bengal',
    'AN': 'Andaman and Nicobar Islands',
    'CH': 'Chandigarh',
  #   'DN': 'Dadra and Nagar Haveli and Daman and Diu',
    'DL': 'Delhi',
    'JK': 'Jammu and Kashmir',
    'LA': 'Ladakh',
    'LD': 'Lakshadweep',
    'PY': 'Puducherry',
  #   'TT': 'India',
   # [UNASSIGNED_STATE_CODE]: 'Unassigned',
  }
  
  data_min_json={}
  for k,v in STATE_NAMES.items():
      data_min_json[k]={"districts":{},"delta":{},"delta7":{},"delta21_14":{},"meta":{},"total":{}}
  
  def number_generation(df,col_name,col_value,field):
      value=df.loc[df[col_name]==value,field]
      value.reset_index(inplace=True,drop=True)
      return value[0]
  
  for k,v in data_min_json.items():
      df=pd.read_csv(os.path.join(path,k+"_final.csv"))
      for district in df["District"]:
          try:
              district_dict={district:{"delta":{"comfirmed":number_generation(df,"District",district,"deltaConfirmedForDistrict"),"recoverd":number_generation(df,"District",district,"deltaRecoveredForDistrict"),"deceased":number_generation(df,"District",district,"deltaDeceasedForDistrict"),"vaccinated":number_generation(df,"District",district,"deltaVaccinatedForDistrict")}}}
          except KeyError as e:
              print(district,e)
              pass
          else:
              data_min_json[k]["districts"].update(district_dict)
          
      data_min_json[k]["delta"]["confirmed"]=number_generation(df,"State/UTCode",k,'deltaConfirmedForState')
      data_min_json[k]["delta"]["deceased"]=number_generation(df,"State/UTCode",k,'deltaDeceasedForState')
      data_min_json[k]["delta"]["recovered"]=number_generation(df,"State/UTCode",k,'deltaRecoveredForState')
      data_min_json[k]["delta"]["vaccinated"]=number_generation(df,"State/UTCode",k,'deltaVaccinatedForState')
      data_min_json[k]["delta"]["tested"]=number_generation(df,"State/UTCode",k,'deltaTestedForState')
      
      data_min_json[k]["delta7"]["confirmed"]=number_generation(df,"State/UTCode",k,'7DmadeltaConfirmedForState')
      data_min_json[k]["delta7"]["deceased"]=number_generation(df,"State/UTCode",k,'7DmadeltaDeceasedForState')
      data_min_json[k]["delta7"]["recovered"]=number_generation(df,"State/UTCode",k,'7DmadeltaRecoveredForState')
      data_min_json[k]["delta7"]["vaccinated"]=number_generation(df,"State/UTCode",k,'7DmadeltaVaccinatedForState')
      data_min_json[k]["delta7"]["tested"]=number_generation(df,"State/UTCode",k,'7DmadeltaTestedForState')
      data_min_json[k]["delta21_14"]=number_generation(df,"State/UTCode",k,'delta14_21ConfirmedForState')
      
      break
  # print(data_min_json)
  
  
  
  
  
  