基本包装器调用是如何形成的,以使用非整数电子表格范围运行LibreOffice Calc Python用户定义函数
我不清楚如何正确地为values
和excel_date
数组声明函数,这两个数组都是实数数组,在我理解的基本术语中都是Variant
我遵循了Calling a python function from within LibreCalc,范围可以作为整数参数传递,而不需要定义它们,但它们是实值。这两个数组都是一维数组,因此多维数组问题不适用于How can I call a Python macro in a cell formula in OpenOffice.Org Calc?中讨论的问题
基本代码是:
Function xnpv_helper(rate as Double, values() as Variant, excel_date() as Variant) as Double
Dim scriptPro As Object, myScript As Object
scriptPro = ThisComponent.getScriptProvider()
myScript = scriptPro.getScript("vnd.sun.star.script:MyPythonLibrary/Develop/math.py$xnpv_helper?language=Python&location=user")
xnpv_helper = myScript.invoke(Array(rate, values, excel_date), Array(), Array() )
end function
电子表格数据:
Date Amount Rate xnpv
31/12/19 100 -0.1
31/12/20 -110
xnpv_helper
在底部。实际的python脚本基于来自financial python library that has xirr and xnpv function?的https://github.com/tarioch/xirr
# Demo will run in python REPL - uncomment last line
import scipy.optimize
DAYS_PER_YEAR = 365.0
def xnpv(valuesPerDate, rate):
'''Calculate the irregular net present value.
>>> from datetime import date
>>> valuesPerDate = {date(2019, 12, 31): -100, date(2020, 12, 31): 110}
>>> xnpv(valuesPerDate, -0.10)
22.257507852701295
'''
if rate == -1.0:
return float('inf')
t0 = min(valuesPerDate.keys())
if rate <= -1.0:
return sum([-abs(vi) / (-1.0 - rate)**((ti - t0).days / DAYS_PER_YEAR) for ti, vi in valuesPerDate.items()])
return sum([vi / (1.0 + rate)**((ti - t0).days / DAYS_PER_YEAR) for ti, vi in valuesPerDate.items()])
from datetime import date
def excel2date(excel_date):
return date.fromordinal(date(1900, 1, 1).toordinal() + int(excel_date) - 2)
def xnpv_helper(rate, values, excel_date):
dates = [excel2date(i) for i in excel_date]
valuesPerDate = dict(zip(dates, values))
return xnpv(valuesPerDate, rate)
# valuesPerDate = {date(2019, 12, 31): -100, date(2020, 12, 31): 110}
# xnpv_helper(-0.10, [-100, 110], [43830.0, 44196.0])
目前没有回答
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