在NumpyPython中使用for循环追加到数组



下面的代码在for循环中生成给定范围内的随机整数,我想将这些值分配给numpy数组Values, up_value_one,up_value_two,但下面的for循环不起作用。Values, up_value_one,up_value_two的值作为空数组返回。如何使用appender作为变量将a,b,c附加到Values, up_value_one,up_value_two并更新数组?

import numpy as np
from random import seed
from random import randint
# seed random number generator
seed(1)
def MXincrementedUpside():
Values = np.array([])
up_value_one= np.array([])
up_value_two= np.array([])
for x in range(3):
a = randint(0, 20)
b = randint(0, 10)
c = randint(0, 15)
for appender,vals in zip([Values, up_value_one,up_value_two],
[a,b,c]):
appender = np.append(appender,vals)
return {'Percentage Change': Values, 'Initial %':up_value_one,'Ending %':up_value_two}    


result =   MXincrementedUpside()
print(result)

预期输出:

{'Percentage Change': array([1, 3,17], dtype=float64), 'Initial %': array([6,9,10], dtype=float64), 'Ending %': array([11,12,3], dtype=float64)}

在for循环内部的每次迭代中都要声明一个新的appender,因为np.append没有附加到位,所以不会保存任何内容。我建议您使用list.append,然后转换为np.array

如果您使用list.append,那么您的代码只需要最少的更改。只需将Valuesup_value_oneup_value_two更改为列表,即可使用list.append。由于它附加到位,所有这些列表都会在循环中更新:

def MXincrementedUpside():
Values = []
up_value_one = []
up_value_two = []
for x in range(3):
a = randint(0, 20)
b = randint(0, 10)
c = randint(0, 15)
for appender,vals in zip([Values, up_value_one,up_value_two],
[a,b,c]):
appender.append(vals)
return {'Percentage Change': np.array(Values), 'Initial %': np.array(up_value_one),'Ending %': np.array(up_value_two)} 

但如果你坚持使用np.append,下面是一种方法:

def MXincrementedUpside():
Values = np.array([])
up_value_one= np.array([])
up_value_two= np.array([])
for x in range(3):
Values = np.append(Values, randint(0, 20))
up_value_one = np.append(up_value_one, randint(0, 10))
up_value_two = np.append(up_value_two, randint(0, 15))
return {'Percentage Change': Values, 'Initial %':up_value_one, 'Ending %':up_value_two}

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