ValueError: too many values to unpack Pandas

Question

我有以下代码。但是我在执行相同时遇到错误。我希望函数计算计划日期并将其输出到新的数据框。看来错误在 for 循环中。我对此很陌生，所以只是想弄清楚

import QuantLib as ql
import pandas as pd
import numpy as np
import datetime
from dateutil.parser import parse

data = pd.read_excel (r'C:\Users\Avishen\Desktop\Python\BONDDATA.xlsx')

for ISIN,issuedate,maturitydate in data:
    issueDate = ql.Date(issuedate, '%d-%m-%Y')
    maturityDate = ql.Date(maturitydate, '%d-%m-%Y')
    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
    df['Test']= df['t'].apply(ISIN)
    df['Test']= df['t1'].apply(ql.Schedule (issueDate, maturityDate, tenor, calendar, businessConvention,businessConvention , dateGeneration, monthEnd))

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-14-b6dc0a0bd926> in <module>
      8 
      9 
---> 10 for ISIN,issuedate,maturitydate in data:
     11     issueDate = ql.Date(issuedate, '%d-%m-%Y')
     12     maturityDate = ql.Date(maturitydate, '%d-%m-%Y')

ValueError: too many values to unpack (expected 3)

期望的输出

t       t1
Test1   Date(22,10,2019)
Test1   Date(8,2,2020)
Test1   Date(8,8,2020)
Test1   Date(8,2,2021)
Test1   Date(8,8,2021)
Test1   Date(8,2,2022)
Test1   Date(8,8,2022)
Test1   Date(8,2,2023)
Test1   Date(8,8,2023)

Test2   Date(31,7,2020)
Test2   Date(21,9,2020)
Test2   Date(21,3,2021)
Test2   Date(21,9,2021)
Test2   Date(21,3,2022)
Test2   Date(21,9,2022)
Test2   Date(21,3,2023)
Test2   Date(21,9,2023)
Test2   Date(21,3,2024)
Test2   Date(21,9,2024)
Test2   Date(21,3,2025)

Answer 1

我假设你想要做的是逐行修改数据框（如果有更多的可能有更好的解决方案）：

df['new_issueDate'] = df['issuedate'].apply(lambda row: ql.Date(row, '%d-%m-%Y')
df['new_maturityDate'] = df['maturityDate'].apply(lambda row: ql.Date(row, '%d-%m-%Y')

编辑：您只想遍历行：

t_list = []
t1_list = []
for _, row in data.iterrows():
    issueDate = ql.Date(row['issuedate'], '%d-%m-%Y')
    maturityDate = ql.Date(row['maturitydate'], '%d-%m-%Y')
    tenor = ql.Period(ql.Semiannual)
    day_count = ql.Thirty360
    calendar = ql.UnitedStates()
    businessConvention = ql.Unadjusted
    dateGeneration = ql.DateGeneration.Backward
    monthEnd = False
    t_list.append(row['ISIN'])
    t1_list.append(ql.Schedule(issueDate, maturityDate, tenor, calendar, businessConvention, businessConvention, dateGeneration, monthEnd))

new_df = pd.DataFrame({'t':t_list, 't1':t1_list})

还有其他方法可以逐行附加到数据框，但这种方法也可以。

ValueError: too many values to unpack Pandas

ValueError: too many values to unpack Pandas

python

quantlib

pandas