TypeError: Wrong number or type of arguments for overloaded function 'new_Date' - pandas

Question

I am new to python. I am getting an error when running below code. The issue seems to be with date. can someone help me to correct i please. I have tried changing the date format in the excel but it does not solve the issue. The excel have a list of several bonds. I want to generate the coupon dates of the different bonds
BondData = pd.read_excel (r'C:\Users\Avishen\Desktop\Python\BONDDATA.xlsx')
Data = pd.DataFrame(BondData)
def scheduledates():
tenor = ql.Period(ql.Semiannual)
day_count = ql.Thirty360
calendar = ql.UnitedStates()
businessConvention = ql.Unadjusted
dateGeneration = ql.DateGeneration.Backward
monthEnd = False
# Dates in Bond Period
return ql.Schedule (issueDate, maturityDate, tenor, calendar, businessConvention,
businessConvention , dateGeneration, monthEnd)
new_df["Dates"]= Data.apply(lambda x: scheduledates(),axis = 1)
new_df["ISIN"] = Data.ISIN
new_df
Error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-4-877415e9cf83> in <module>
21 businessConvention , dateGeneration, monthEnd)
22
---> 23 new_df["Dates"]= Data.apply(lambda x: scheduledates(),axis = 1)
24 new_df["ISIN"] = Data.ISIN
25 new_df
~\anaconda3\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, raw, result_type, args, **kwds)
7546 kwds=kwds,
7547 )
-> 7548 return op.get_result()
7549
7550 def applymap(self, func) -> "DataFrame":
~\anaconda3\lib\site-packages\pandas\core\apply.py in get_result(self)
178 return self.apply_raw()
179
--> 180 return self.apply_standard()
181
182 def apply_empty_result(self):
~\anaconda3\lib\site-packages\pandas\core\apply.py in apply_standard(self)
269
270 def apply_standard(self):
--> 271 results, res_index = self.apply_series_generator()
272
273 # wrap results
~\anaconda3\lib\site-packages\pandas\core\apply.py in apply_series_generator(self)
298 for i, v in enumerate(series_gen):
299 # ignore SettingWithCopy here in case the user mutates
--> 300 results[i] = self.f(v)
301 if isinstance(results[i], ABCSeries):
302 # If we have a view on v, we need to make a copy because
<ipython-input-4-877415e9cf83> in <lambda>(x)
21 businessConvention , dateGeneration, monthEnd)
22
---> 23 new_df["Dates"]= Data.apply(lambda x: scheduledates(),axis = 1)
24 new_df["ISIN"] = Data.ISIN
25 new_df
<ipython-input-4-877415e9cf83> in scheduledates()
8
9 def scheduledates():
---> 10 issueDate = ql.Date(Data.issuedate)
11 maturityDate = ql.Date(Data.maturitydate)
12 tenor = ql.Period(ql.Semiannual)
~\anaconda3\lib\site-packages\QuantLib\QuantLib.py in __init__(self, *args)
425
426 def __init__(self, *args):
--> 427 _QuantLib.Date_swiginit(self, _QuantLib.new_Date(*args))
428
429 def weekdayNumber(self):
TypeError: Wrong number or type of arguments for overloaded function 'new_Date'.
Possible C/C++ prototypes are:
Date::Date()
Date::Date(Day,Month,Year)
Date::Date(Day,Month,Year,Hour,Minute,Second,Millisecond,Microsecond)
Date::Date(Day,Month,Year,Hour,Minute,Second,Millisecond)
Date::Date(Day,Month,Year,Hour,Minute,Second)
Date::Date(BigInteger)
Date::Date(std::string const &,std::string)
---------------------------------------------------------------------------
Data = pd.DataFrame(BondData)
Fields from Bond Data
ISIN
issuedate
maturitydate
coupon
Tradeyield
Bond_Price
MarketPrice
Nominal_Amount

Answer 1

From the traceback, the problem is the line:
issueDate = ql.Date(Data.issuedate)
(which for some reason is not in the code you pasted). Coming from Excel, issuedate should be an integer and thus compatible with the ql.Date constructor, but it's possible that pandas is reading it as a string or some other type. You should examine the data frame and check the type of the column. If it's not what you expect, you'll have to figure out if there are data in that column that pandas can't interpret as integers, and either clean them up of force the conversion somehow before passing them to ql.Date.