[FIXED] Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas

Issue

I have the below code which for instance work as excepted but won't work in the Future :

    total.name = 'New_Row'
    total_df = total.to_frame().T
    total_df.at['New_Row', 'CURRENCY'] = ''
    total_df.at['New_Row', 'MANDATE'] = Portfolio
    total_df.at['New_Row', 'COMPOSITE'] = 'GRAND TOTAL'
    total_df.set_index('COMPOSITE',inplace=True)

since an error is thrown in

FutureWarning: Setting an item of incompatible dtype is deprecated and 
will raise in a future error of pandas. Value 'GRAND TOTAL' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
  total_df.at['New_Row', 'COMPOSITE'] = 'GRAND TOTAL'

How to fix this ?

variable total is :

CURRENCY
MANDATE             Mandate_Test
USD AMOUNT          123
LOCAL AMOUNT        12
Beg. Mkt            123
End. Mkt            456
Name: New_Row, dtype: object

Solution

I think it is bug - BUG: incompatible dtype when creating string column with loc #55025 . In next version of pandas should be solved.

Answered By - jezrael