#!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
# Copyright 2016-2018 European Commission (JRC);
# Licensed under the EUPL (the 'Licence');
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at: http://ec.europa.eu/idabc/eupl
"""
Python equivalents of math and trigonometry Excel functions.
"""
import math
import functools
import numpy as np
from . import (
get_error, raise_errors, is_number, flatten, wrap_ufunc, wrap_func,
replace_empty, Error
)
# noinspection PyDictCreation
FUNCTIONS = {}
FUNCTIONS['ABS'] = wrap_ufunc(np.abs)
FUNCTIONS['ACOS'] = wrap_ufunc(np.arccos)
FUNCTIONS['ACOSH'] = wrap_ufunc(np.arccosh)
FUNCTIONS['_XLFN.ACOT'] = FUNCTIONS['ACOT'] = wrap_ufunc(
lambda x: (np.arctan(np.divide(1, x)) + np.pi) % np.pi
)
FUNCTIONS['ACOTH'] = wrap_ufunc(lambda x: np.arctanh(np.divide(1, x)))
FUNCTIONS['_XLFN.ACOTH'] = FUNCTIONS['ACOTH']
[docs]def xarabic(text):
num = (1000, 500, 100, 50, 10, 5, 1)
it = map(num.__getitem__, map('MDCLXVI'.index, str(text).upper()[::-1]))
res, add, p = 0, True, -1
for v in it:
if p != v:
add = p < v
p = v
if add:
res += v
else:
res -= v
return res
FUNCTIONS['_XLFN.ARABIC'] = FUNCTIONS['ARABIC'] = wrap_ufunc(
xarabic, input_parser=lambda *a: a,
args_parser=lambda *a: (replace_empty(x, '') for x in a)
)
FUNCTIONS['ASIN'] = wrap_ufunc(np.arcsin)
FUNCTIONS['ASINH'] = wrap_ufunc(np.arcsinh)
FUNCTIONS['ATAN'] = wrap_ufunc(np.arctan)
[docs]def xarctan2(x, y):
return x == y == 0 and Error.errors['#DIV/0!'] or np.arctan2(y, x)
FUNCTIONS['ATAN2'] = wrap_ufunc(xarctan2)
FUNCTIONS['ATANH'] = wrap_ufunc(np.arctanh)
FUNCTIONS['COS'] = wrap_ufunc(np.cos)
FUNCTIONS['COSH'] = wrap_ufunc(np.cosh)
[docs]def xcot(x, func=np.tan):
x = func(x)
return (1 / x) if x else Error.errors['#DIV/0!']
FUNCTIONS['COT'] = FUNCTIONS['_XLFN.COT'] = wrap_ufunc(xcot)
FUNCTIONS['COTH'] = FUNCTIONS['_XLFN.COTH'] = wrap_ufunc(
functools.partial(xcot, func=np.tanh)
)
FUNCTIONS['CSC'] = FUNCTIONS['_XLFN.CSC'] = wrap_ufunc(
functools.partial(xcot, func=np.sin)
)
FUNCTIONS['CSCH'] = FUNCTIONS['_XLFN.CSCH'] = wrap_ufunc(
functools.partial(xcot, func=np.sinh)
)
[docs]def xceiling(num, sig, ceil=math.ceil, dfl=0):
if sig == 0:
return dfl
elif sig < 0 < num:
return np.nan
return ceil(num / sig) * sig
FUNCTIONS['CEILING'] = wrap_ufunc(xceiling)
[docs]def xceiling_math(num, sig=None, mode=0, ceil=math.ceil):
if sig == 0:
return 0
elif sig is None:
x, sig = abs(num), 1
else:
sig = abs(sig)
x = num / sig
if mode and num < 0:
return -ceil(abs(x)) * sig
return ceil(x) * sig
FUNCTIONS['CEILING.MATH'] = wrap_ufunc(xceiling_math)
FUNCTIONS['_XLFN.CEILING.MATH'] = FUNCTIONS['CEILING.MATH']
FUNCTIONS['CEILING.PRECISE'] = FUNCTIONS['CEILING.MATH']
FUNCTIONS['_XLFN.CEILING.PRECISE'] = FUNCTIONS['CEILING.PRECISE']
FUNCTIONS['DEGREES'] = wrap_ufunc(np.degrees)
[docs]def xdecimal(text, radix):
text, radix = str(text), int(radix)
try:
return int(text, radix)
except ValueError:
return Error.errors['#NUM!']
FUNCTIONS['_XLFN.DECIMAL'] = FUNCTIONS['DECIMAL'] = wrap_ufunc(
xdecimal, input_parser=lambda *a: a
)
[docs]def xeven(x):
v = math.ceil(abs(x) / 2.) * 2
return -v if x < 0 else v
FUNCTIONS['EVEN'] = wrap_ufunc(xeven)
FUNCTIONS['EXP'] = wrap_ufunc(np.exp)
[docs]def xfact(number, fact=math.factorial, limit=0):
return np.nan if number < limit else int(fact(int(number or 0)))
FUNCTIONS['FACT'] = wrap_ufunc(xfact)
def _factdouble(x):
return np.multiply.reduce(np.arange(max(x, 1), 0, -2))
[docs]def xfactdouble(number):
raise_errors(number)
x = list(flatten(replace_empty(number), None))[0]
if isinstance(x, bool):
return Error.errors['#VALUE!']
with np.errstate(divide='ignore', invalid='ignore'):
# noinspection PyTypeChecker
x = xfact(x, _factdouble, -1)
return (np.isnan(x) or np.isinf(x)) and Error.errors['#NUM!'] or x
FUNCTIONS['FACTDOUBLE'] = wrap_func(xfactdouble)
FUNCTIONS['FLOOR'] = wrap_ufunc(
functools.partial(xceiling, ceil=math.floor, dfl=Error.errors['#DIV/0!'])
)
FUNCTIONS['_XLFN.FLOOR.MATH'] = FUNCTIONS['FLOOR.MATH'] = wrap_ufunc(
functools.partial(xceiling_math, ceil=math.floor)
)
FUNCTIONS['FLOOR.PRECISE'] = FUNCTIONS['FLOOR.MATH']
FUNCTIONS['_XLFN.FLOOR.PRECISE'] = FUNCTIONS['FLOOR.MATH']
FUNCTIONS['INT'] = wrap_ufunc(int)
FUNCTIONS['ISO.CEILING'] = FUNCTIONS['CEILING.PRECISE']
FUNCTIONS['LOG10'] = wrap_ufunc(np.log10)
FUNCTIONS['LOG'] = wrap_ufunc(
lambda x, base=10: np.log(x) / np.log(base) if base else np.nan
)
FUNCTIONS['LN'] = wrap_ufunc(np.log)
[docs]def xmod(x, y):
return y == 0 and Error.errors['#DIV/0!'] or np.mod(x, y)
FUNCTIONS['MOD'] = wrap_ufunc(xmod)
[docs]def xmround(*args):
raise_errors(args)
num, sig = list(flatten(map(replace_empty, args), None))
if isinstance(num, bool) or isinstance(sig, bool):
return Error.errors['#VALUE!']
with np.errstate(divide='ignore', invalid='ignore'):
x = num < 0 < sig and np.nan or xceiling(num, sig, ceil=np.round)
return (np.isnan(x) or np.isinf(x)) and Error.errors['#NUM!'] or x
FUNCTIONS['MROUND'] = wrap_func(xmround)
[docs]def xodd(x):
v = math.ceil(abs(x)) // 2 * 2 + 1
return -v if x < 0 else v
FUNCTIONS['ODD'] = wrap_ufunc(xodd)
FUNCTIONS['PI'] = lambda: math.pi
[docs]def xpower(number, power):
if number == 0:
if power == 0:
return Error.errors['#NUM!']
if power < 0:
return Error.errors['#DIV/0!']
return np.power(number, power)
FUNCTIONS['POWER'] = wrap_ufunc(xpower)
FUNCTIONS['RADIANS'] = wrap_ufunc(np.radians)
FUNCTIONS['RAND'] = wrap_func(np.random.rand)
[docs]def xrandbetween(bottom, top):
if isinstance(bottom, bool) or isinstance(top, bool):
return Error.errors['#VALUE!']
dx = top - bottom
if dx < 0:
return Error.errors['#NUM!']
return bottom + dx * np.random.rand()
FUNCTIONS['RANDBETWEEN'] = wrap_ufunc(
xrandbetween, input_parser=lambda *a: a,
check_error=lambda *a: get_error(*a[::-1])
)
def _xroman(form):
form = int(form + 1)
num, let = (1000, 500, 100, 50, 10, 5, 1), 'MDCLXVI'
for i, (n, l) in enumerate(zip(num, let), 1):
yield n, l
y = []
for v, k in zip(num[i:], let[i:]):
v = n - v
if v not in num:
y.append((v, k + l))
if len(y) == form:
break
yield from y[::-1]
[docs]def xroman(num, form=0):
num, form = int(num), not isinstance(form, bool) and int(form or 0) or 0
if not (0 <= num < 4000 and 0 <= form <= 4):
raise ValueError()
result = ""
for i, n in _xroman(form):
if not num:
break
count = int(num / i)
result += n * count
num -= i * count
return result
FUNCTIONS['ROMAN'] = wrap_ufunc(xroman, input_parser=lambda *a: a)
[docs]def xround(x, d, func=round):
d = 10 ** int(d)
v = func(abs(x * d)) / d
return -v if x < 0 else v
FUNCTIONS['ROUND'] = wrap_ufunc(xround)
FUNCTIONS['ROUNDDOWN'] = wrap_ufunc(functools.partial(xround, func=math.floor))
FUNCTIONS['ROUNDUP'] = wrap_ufunc(functools.partial(xround, func=math.ceil))
FUNCTIONS['SEC'] = FUNCTIONS['_XLFN.SEC'] = wrap_ufunc(
functools.partial(xcot, func=np.cos)
)
FUNCTIONS['SECH'] = FUNCTIONS['_XLFN.SECH'] = wrap_ufunc(
functools.partial(xcot, func=np.cosh)
)
FUNCTIONS['SIGN'] = wrap_ufunc(np.sign)
FUNCTIONS['SIN'] = wrap_ufunc(np.sin)
FUNCTIONS['SINH'] = wrap_ufunc(np.sinh)
[docs]def xsumproduct(*args):
# Check all arrays are the same length
# Excel returns #VAlUE! error if they don't match
raise_errors(args)
assert len(set(arg.size for arg in args)) == 1
inputs = []
for a in args:
a = a.ravel()
x = np.zeros_like(a, float)
b = np.vectorize(is_number)(a)
x[b] = a[b]
inputs.append(x)
return np.sum(np.prod(inputs, axis=0))
FUNCTIONS['SUMPRODUCT'] = wrap_func(xsumproduct)
FUNCTIONS['SQRT'] = wrap_ufunc(np.sqrt)
[docs]def xsrqtpi(number):
raise_errors(number)
x = list(flatten(replace_empty(number), None))[0]
if isinstance(x, bool):
return Error.errors['#VALUE!']
with np.errstate(divide='ignore', invalid='ignore'):
x = np.sqrt(float(x) * np.pi)
return (np.isnan(x) or np.isinf(x)) and Error.errors['#NUM!'] or x
FUNCTIONS['SQRTPI'] = wrap_func(xsrqtpi)
[docs]def xsum(*args):
raise_errors(args)
return sum(list(flatten(args)))
FUNCTIONS['SUM'] = wrap_func(xsum)
FUNCTIONS['TAN'] = wrap_ufunc(np.tan)
FUNCTIONS['TANH'] = wrap_ufunc(np.tanh)
FUNCTIONS['TRUNC'] = wrap_ufunc(functools.partial(xround, func=math.trunc))