numpy.ndarray' 对象没有属性 'append

Question

import numpy as np

Student1= [1,2]
test11= np.array([])
np.clip(0,1,20)
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ")
for i in range(NOF):
    data=int(input())
    test11.append(data)
total=0
for value in test11:
    total=total+value
print("The sum of all", total)

列表版本

import numpy as np

Student1= [1,2]
test11= []
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ")
for i in range(NOF):
    data=int(input())
    test11.append(data)
total=0
for value in test11:
    total=total+value
print("The sum of all", total)

这会一直报错“numpy.ndarray”对象没有“附加”属性。我希望能够将用户数据添加到数组 test11。无需使 test11 成为 numpy 数组即可正常工作。但我希望能够将数字的大小限制为 20。有什么想法吗？请让它变得简单。

错误代码： 回溯（最近一次通话最后）： 第 10 行，在 test11.append(数据) AttributeError: 'numpy.ndarray' 对象没有属性 'append'

Answer 1

这看起来很有效。我又改了几行，做了标记。

import numpy as np

Student1= [1,2]
test11= np.array([0])
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ")
data = None
while data is None:  # Remove this if you want the program to end if an error occurres.
    for i in range(NOF):
        try:  # Be sure the input is a int.
            data=np.array([int(input())])
            if data > 20:  # Be sure the input is <= 20.
                data = None  # If greater then 20. Turn data into None
                test11 = np.array([0])  # Empty the array.
                print("Error")
                break  # Then break out of the loop
            test11 = np.append(data, test11)
        except ValueError:
            data = None  # If it is not a int, data will trun into None
            test11 = np.array([0])  # Empty the array.
            print("Error")
            break

if data is not None:  # If data is not None then find the sum.
    total=0
    for value in test11:
        total = test11.sum()  # Use the sum fuction, though  total=total+value  will also work.
    print("The sum of all", total)

列出版本。

# import numpy as np

Student1= [1,2]
test11= []
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ")
data = None  # Assign ahead of time.
while data is None:  # Remove this if you want the program to end if an 
error occurres.
    for i in range(NOF):
        try:  # Be sure the input is a int.
            data=int(input())
            if data > 20:  # Be sure the input is <= 20.
                data = None  # If greater then 20. Turn data into None
                test11.clear()  # Clear the list if an error occurres.
                print("Error")
                break  # Then break out of the loop
            test11.append(data)
        except ValueError:
            data = None  # If it is not a int, data will trun into None
            test11.clear()  # Clear the list if an error occurres.
            print("Error")
            break

if data is not None:  # If data is not None then find the sum.
    total=0
    for value in test11:
        total=total+value
    print("The sum of all", total)

这是尽我所能做到的紧凑，无需更改整个内容，并保持与您开始时的内容相似。

现在用户不能使用超过20的数字，或者任何字母，否则会出现错误。

Answer 2

Numpy 数组没有“追加”方法，它们应该以您需要的形状和长度创建。所以在你的情况下，最好的方法是创建一个列表，附加值，然后创建数组：

import numpy as np 
Student1= [1,2] 
test11= []
np.clip(0,1,20) 
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ") 
for i in range(NOF): 
    data=int(input()) 
    test11.append(data)

test11 = np.array(test11)

Answer 3

你可以用np.append替换你的行：

np.append(test11,data)

但是追加到 numpy 数组比追加到列表更昂贵。我建议将list 结构与append 一起使用，最后使用np.array 将您的列表转换为numpy 数组

这是一个列表版本：

import numpy as np

Student1= [1,2]
test11= []
np.clip(0,1,20)
NOF=int(2) 
print("Enter test score, students name are (1,2,3, etc): ")
for i in range(NOF):
    data=int(input())
    test11.append(data)
test11 = np.array(test11)
total = test11.sum()
print("The sum of all", total)