Today, I will show you how to use the NumPy array with the following example.

create one-dimension NumPy array

	import numpy as np
	arr = np.array([1, 2, 3])
	print(arr)
	# Output
	# [1 2 3]

view raw numpy-array-one-dimension.py hosted with ❤ by GitHub

create two-dimension NumPy array

	import numpy as np
	arr = np.array([[1, 1, 1], [2, 2, 2]])
	print(arr)
	# Output
	# [[1 1 1]
	# [2 2 2]]

view raw numpy-array-two-dimension.py hosted with ❤ by GitHub

Set minimum dimension to NumPy array

	import numpy as np
	arr = np.array([1, 1, 1], ndmin=3)
	print(arr)
	# Ouput
	# [[[1 1 1]]]

view raw numpy-min-dimension.py hosted with ❤ by GitHub

Numpy can automatically upcasting type like this

	import numpy as np
	arr = np.array([1, 1, 1.0])
	print(arr)
	# Output
	# [1. 1. 1.]

view raw numpy-upcasting.py hosted with ❤ by GitHub

also can change the data type in an array like this

	import numpy as np
	arr = np.array([1, 1, 1], dtype=float)
	print(arr)
	# Output
	# [1. 1. 1.]

view raw numpy-change-type.py hosted with ❤ by GitHub

Thank you for reading & enjoy your coding 🙂