ValueError の修正: Python でシーケンスを使用して配列要素を設定する

# import numpy library
import numpy as np

# creating a numpy array
arr = np.array([1, 2, 4, 5, 6])

print(arr)

[1 2 4 5 6]

# import numpy library
import numpy as np

conventional_array = [1, 2, 3, 4, 5]
print("The data type conventional array is: ", type(conventional_array))

# converting a conventional array into a numpy array
arr = np.array(conventional_array)

print("The data type of numpy array is: ", type(arr))
print(arr)

The data type conventional array is:  <class 'list'>
The data type of numpy array is:  <class 'numpy.ndarray'>
[1 2 3 4 5]

# import numpy library
import numpy as np

arr = [1, 2, 3, 4, 5, 6, 7]
numpy_arr = np.array(arr)

# print the element at 0 index, which is the first element
print("The first element of the array: ", numpy_arr[0])

# assign two values (1,2) to the 0th index  --> Error
numpy_arr[0] = 1, 2

The first element of the array:  1
ValueError: setting an array element with a sequence.

# import numpy library
import numpy as np

# Creating an array
array1 = [1, 2, [0, 0], 4, 5]
print(array1)
print("The data type of the conventional array is: ", type(array1))

# This causes Value error
np_array = np.array(array1, int)

print("\n", np_array)
print("The data type of of numpy array is: ", type(np_array))

[1, 2, [0, 0], 4, 5]
The data type of the conventional array is:  <class 'list'>
ValueError: setting an array element with a sequence.

# import numpy library
import numpy as np

# creating a numpy array
numpy_arr = np.array([1, 2, 3, 4, 5])
print(numpy_arr)

# assigning 0 value at the 0th index
numpy_arr[0] = 0
print(numpy_arr)

[1 2 3 4 5]
[0 2 3 4 5]

# import numpy library
import numpy as np

# creating an array
arr = [1, 2, [9, 8], 3, 4]

# This causes Value error
np_arr = np.array(arr, object)

print(np_arr)

[1 2 list([9, 8]) 3 4]