smc_cet_cibil_py/services/PandsSampleDataDrameServeice.py
2023-10-06 16:44:28 +05:30

24 lines
939 B
Python

import pandas as pd
from services.CibilBusinessOperationService import CibilBusinessOperationService
def getDataFrame():
dataFrame = pd.DataFrame()
# dataFrame = pd.DataFrame(columns = ['Name', 'Articles', 'Improved'])
# print(df)
# append rows to an empty DataFrame
dataFrame = dataFrame.append({'Name' : 'Ankit', 'Articles' : 97, 'Improved' : 2200},
ignore_index = True)
dataFrame = dataFrame.append({'Name' : 'Aishwary', 'Articles' : 30, 'Improved' : 50},
ignore_index = True)
dataFrame = dataFrame.append({'Name' : 'yash', 'Articles' : 17, 'Improved' : 220},
ignore_index = True)
print(dataFrame)
return dataFrame
def getCIBILDataFrame():
py_dict = CibilBusinessOperationService.doCIBILOperations(99999999999)
dataFrame = pd.DataFrame.from_dict(py_dict)
return dataFrame