numpy part 1

ndarray n-dimensional array

1


import numpy as np

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

Execution result of 1


[[1 2 3]
 [4 5 6]]

You can specify the data type of the array. How many bits of type should be used? You can adjust the amount of memory to be secured by specifying the number of bits.

2


import numpy as np

a = [1, 2, 3]

ndarray = np.array(a, dtype='float32')
print(ndarray.dtype)

ndarray = np.array(a, dtype='int32')
print(ndarray.dtype)

Execution result of 2


float32
int16

Change data type

3


import numpy as np

a = [1, 2, 3]

arr = np.array(a, dtype='int32')
arr2 = arr.astype('float32')

print(arr2.dtype)

Execution result of 2


float32

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