total_rows['ColumnID'] = total_rows['ColumnID'].astype(str)
# Convert "Fee" from int to string
df = df.astype({'colomnName':'string'})
print(df.dtypes)
# column names which need to be string
lst_str_cols = ['prefix', 'serial']
dict_dtypes = {x: 'str' for x in lst_str_cols}
pd.read_csv('sample.csv', dtype=dict_dtypes)