Python_Repo/UserMethodChaining.py at master · EveryTimeIWill18/Python_Repo · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
import numpy as np
from functools import reduce

"""
William Murphy
4/19/2018

# --- create pandas like method chaining
 using the self.__class__() dunder method

"""

class ChainedCls(object):
    def __init__(self, calculation=0.0):
        self._calculation = result

    def add(self, value):
        return self.__class__(self._calculation + value)

    def subtract(self, value):
        return self.__class__(self._calculation - value)

    def array_sum(self, *args):
        return self.__class__(self._calculation + np.sum(np.array([a for a in args]).flatten()))

    def array_mult(self, *args):
        return self.__class__(self._calculation * reduce((lambda x, y: x*y), [a for a in args]))


chaining = ChainedCls()
result = (operator.add(2)
                  .add(10)
                  .array_sum(2,2)
                  .array_mult(2,2,2,2)
                  .result)

print(result)  # prints import numpy as np
from functools import reduce


class ChainedCls(object):
    def __init__(self, calculation=0.0):
        self._calculation = result

    def add(self, value):
        return self.__class__(self._calculation + value)

    def subtract(self, value):
        return self.__class__(self._calculation - value)

    def array_sum(self, *args):
        return self.__class__(self._calculation + np.sum(np.array([a for a in args]).flatten()))

    def array_mult(self, *args):
        return self.__class__(self._calculation * reduce((lambda x, y: x*y), [a for a in args]))


chaining = ChainedCls()
result = (operator.add(2)
                  .add(10)
                  .array_sum(2,2)
                  .array_mult(2,2,2,2)
                  .result)

print(result)     # prints 256