Python-Programs/Numpy/P03_NumpyAttributes.py at master · OmkarPathak/Python-Programs · GitHub

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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8
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# Author: OMKAR PATHAK

# These are the various attributes provided by NumPy.

importnumpyasnp

myArray=np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(myArray)

# [[1 2 3]
# [4 5 6]
# [7 8 9]]

# ndarray.size returns the number of items in the array
print(myArray.size) # 9

# ndarray.shape returns a tuple consisting of array dimensions
print(myArray.shape) # (3, 3)

# ndarray.ndim returns the number of array dimensions
print(myArray.ndim) # 2

# ndarray.itemsize returns the memory size of each element in the array
print(myArray.itemsize) # 8