初始问题

Question

初始问题

在Python中，我想基于c和a的值创建一个新变量b。

if a in ('GBP', 'AUD', 'CNY', 'NZD'):
    if b == '[00Y, 01Y]':
        c= '90'
    elif b == '[01Y, 02Y]':
        c = '85'
    elif b == '[02Y, 03Y]':
        c = '80'
    elif b == '[03Y, 04Y]':
        c = '75'
    elif b == '[04Y, 05Y]':
        c = '70'
elif a in ('EUR', 'USD', 'CHF', 'CAD', 'SGD', 'HKD', 'JPY'):
    if b == '[00Y, 01Y]':
        c = '95'
    elif b == '[01Y, 02Y]':
        c = '90'
    elif b == '[02Y, 03Y]':
        c = '85'
    elif b == '[03Y, 04Y]':
        c = '80'
    elif b == '[04Y, 05Y]':
        c = '75'
    elif b == '[05Y, 07Y]':
        c = '60'
    elif b == '[07Y, 10Y]':
        c = '55'

a和b是数据框的列，我必须使用apply才能最终获得所需的内容。

尽管这很完美，但我认为对于这么小的操作来说这是很长的代码，我想知道是否有更优雅的方法可以做到这一点。我知道np.select条件，但是它迫使我在`a上重复该条件，我发现它也不是很好。

谢谢

问题的重新形成

我最初的问题可能还不够清楚。我想压缩以下代码而不必重复所有条件：

def f1(a, b, c, d):
    if a == 1 and b <= 5 and c in ('abc', 'def') and d:         s = 75
    if a == 1 and b <= 5 and c in ('abc', 'def') and not d:     s = 83
    if a == 1 and b <= 5 and c == 'xyz' and d:                  s = 77
    if a == 1 and b <= 5 and c == 'xyz' and not d:              s = 17
    if a == 1 and 5 < b <= 8 and c in ('abc', 'def') and d:     s = 28
    if a == 1 and 5 < b <= 8 and c in ('abc', 'def') and not d: s = 39
    if a == 1 and 5 < b <= 8 and c == 'xyz' and d:              s = 10
    if a == 1 and 5 < b <= 8 and c == 'xyz' and not d:          s = 45
    if a == 1 and b > 8 and c in ('abc', 'def') and d:          s = 59
    if a == 1 and b > 8 and c in ('abc', 'def') and not d:      s = 48
    if a == 1 and b > 8 and c == 'xyz' and d:                   s = 29
    if a == 1 and b > 8 and c == 'xyz' and not d:               s = 24
    if a == 2 and b <= 5 and c in ('abc', 'def') and d:         s = 39
    if a == 2 and b <= 5 and c in ('abc', 'def') and not d:     s = 51
    if a == 2 and b <= 5 and c == 'xyz' and d:                  s = 69
    if a == 2 and b <= 5 and c == 'xyz' and not d:              s = 42
    if a == 2 and 5 < b <= 8 and c in ('abc', 'def') and d:     s = 23
    if a == 2 and 5 < b <= 8 and c in ('abc', 'def') and not d: s = 11
    if a == 2 and 5 < b <= 8 and c == 'xyz' and d:              s = 12
    if a == 2 and 5 < b <= 8 and c == 'xyz' and not d:          s = 89
    if a == 2 and b > 8 and c in ('abc', 'def') and d:          s = 54
    if a == 2 and b > 8 and c in ('abc', 'def') and not d:      s = 23
    if a == 2 and b > 8 and c == 'xyz' and d:                   s = 22
    if a == 2 and b > 8 and c == 'xyz' and not d:               s = 98
    if a == 3 and b <= 5 and c in ('abc', 'def') and d:         s = 91
    if a == 3 and b <= 5 and c in ('abc', 'def') and not d:     s = 15
    if a == 3 and b <= 5 and c == 'xyz' and d:                  s = 55
    if a == 3 and b <= 5 and c == 'xyz' and not d:              s = 36
    if a == 3 and 5 < b <= 8 and c in ('abc', 'def') and d:     s = 66
    if a == 3 and 5 < b <= 8 and c in ('abc', 'def') and not d: s = 82
    if a == 3 and 5 < b <= 8 and c == 'xyz' and d:              s = 20
    if a == 3 and 5 < b <= 8 and c == 'xyz' and not d:          s = 98
    if a == 3 and b > 8 and c in ('abc', 'def') and d:          s = 77
    if a == 3 and b > 8 and c in ('abc', 'def') and not d:      s = 23
    if a == 3 and b > 8 and c == 'xyz' and d:                   s = 41
    if a == 3 and b > 8 and c == 'xyz' and not d:               s = 84
    return s

解决方案

我找到了使用itertools.product的解决方案。但是我们需要注意listvalues的顺序：

import numpy as np
import itertools
def f(a, b, c, d):
    listconditions = [[a==1, a==2, a==3],
                      [b <= 5, 5 < b <= 8, b > 8],
                      [c in ("abc", "def"), c == 'xyz'],
                      [d, not d]]

        listvalues = [75, 83, 77, 17, 28, 39, 10, 45, 59, 48, 29, 24,
                      39, 51, 69, 42, 23, 11, 12, 89, 54, 23, 22, 98,
                      91, 15, 55, 36, 66, 82, 20, 98, 77, 23, 41, 84]

    allcombinations = itertools.product(*listconditions)

    test = [np.logical_and.reduce(i) for i in allcombinations]

    return sum(np.array(test) * listvalues)

f(1,7,'abc',False)

39

Answer 1

您可以使用字典来包含a的索引和b中的值：

options_a = {'GBP': 0, 'AUD': 0, 'CNY': 0, 'NZD': 0, 'EUR': 1, 'USD': 1, 'CHF': 1, 'CAD': 1, 'SGD': 1, 'HKD': 1, 'JPY': 1}

options_b = {'[00Y, 01Y]': ('90', '95'), '[01Y, 02Y]': ('85', '90'), '[02Y, 03Y]': ('80', '85'), '[03Y, 04Y]': ('75', '80'), '[04Y, 05Y]': ('70', '75'), '[05Y, 07Y]': (None, '60'), '[07Y, 10Y]': (None, '55')}

# Get the index of the tuple by looking up 'a' first
idx = options_a[a]

# Then use that index when you look up 'b' to grab the correct value for 'c'
c = options_b[b][idx]

如果您获得了您不打算使用的任何组合，则会产生一个KeyError，您可能会或可能不想处理：

try:
    idx = options_a[a]
    tup = options_b[b]
except KeyError:
    print("Do something")
else:
    c = tup[idx]

Answer 2

使用for循环和列表做您想要的事情，我假设您需要将值减少5

tupel1 =  ('GBP', 'AUD', 'CNY', 'NZD')
tuple2 = ('EUR', 'USD', 'CHF', 'CAD', 'SGD', 'HKD', 'JPY')
listb = ['[00Y, 01Y]' ,'[02Y, 03Y]','[03Y, 04Y]','[04Y, 05Y]',]

for i in range(listb):
  if listb[i]==b:
    if a in tuble1:
       c = str(90 - 5*i)
    elif a in tuble2:
       c = str(95 -5*i)

Answer 3

另一种选择，单线：

(95 if a in {'EUR', 'USD', 'CHF', 'CAD', 'SGD', 'HKD', 'JPY'} else 90) - 5 * [0, 1, 2, 3, 4, 5, 7].index(int(b[1:3]))

或者将其包装得更多，但会变脏：

(95 if a in 'EUR USD CHF CAD SGD HKD JPY' else 90) - 5 * [0, 1, 2, 3, 4, 5, 7].index(int(b[1:3]))

根据其他两个变量创建变量

初始问题

问题的重新形成

解决方案

3 个答案: