Array creation: There are various ways to create arrays in NumPy. O For example, you can create an array from a regular Python list or tuple using the array function. The type of the resulting array is deduced from the type of the elements in the sequences. O Often, the elements of an array are originally unknown, but its size is known. Hence, NumPy offers several functions to create arrays with initial placeholder content. These minimize the necessity of growing arrays, an expensive operation. For example: np.zeros, np.ones, np.full, np.empty, etc. O To create sequences of numbers, NumPy provides a function analogous to, range that returns arrays instead of lists. O arange: returns evenly spaced values within a given interval. step size is specified. O linspace: returns evenly spaced values within a given interval. num no. of elements are returned. O Reshaping array: We can use reshape method to reshape an array. Consider an array with shape (a1, a2, a3, ., aN). We can reshape and convert it into another array with shape (b1, b2, b3, ., bM). The only required condition is: al x a2 x a3 . x aN = b1 x b2 x b3 ... x bM. (i.e original size of array romainc unchannad i
Array creation: There are various ways to create arrays in NumPy. O For example, you can create an array from a regular Python list or tuple using the array function. The type of the resulting array is deduced from the type of the elements in the sequences. O Often, the elements of an array are originally unknown, but its size is known. Hence, NumPy offers several functions to create arrays with initial placeholder content. These minimize the necessity of growing arrays, an expensive operation. For example: np.zeros, np.ones, np.full, np.empty, etc. O To create sequences of numbers, NumPy provides a function analogous to, range that returns arrays instead of lists. O arange: returns evenly spaced values within a given interval. step size is specified. O linspace: returns evenly spaced values within a given interval. num no. of elements are returned. O Reshaping array: We can use reshape method to reshape an array. Consider an array with shape (a1, a2, a3, ., aN). We can reshape and convert it into another array with shape (b1, b2, b3, ., bM). The only required condition is: al x a2 x a3 . x aN = b1 x b2 x b3 ... x bM. (i.e original size of array romainc unchannad i
Chapter8: Arrays
Section: Chapter Questions
Problem 9PE
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![dont give the same solution again .10 min left fast
Array creation: There are various ways to create arrays in NumPy.
O For example, you can create an array from a regular
Python list or tuple using the array function. The type of the resulting
array is deduced from the type of the elements in the sequences.
O Often, the elements of an array are originally unknown, but its size is
known. Hence, NumPy offers several functions to create arrays
with initial placeholder content. These minimize the necessity of
growing arrays, an expensive operation.
For example: np.zeros, np.ones, np.full, np.empty, etc.
O To create sequences of numbers, NumPy provides a function analogous to.
range that returns arrays instead of lists.
O arange: returns evenly spaced values within a given interval. step size is
specified.
O linspace: returns evenly spaced values within a given interval. num no. of
elements are returned.
O Reshaping array: We can use reshape method to reshape an array.
Consider an array with shape (a1, a2, a3, ., aN). We can reshape and
convert it into another array with shape (b1, b2, b3, ., bM). The only
required condition is:
al x a2 x a3 . x aN = b1 x b2 x b3 .. x bM . (i.e original size of array
ramaine unchanged](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Febdfe4e0-6aec-4971-93e1-a488aea38fd7%2Faf0e12b8-934d-4132-b25d-79c65ec894d9%2F82jj7_processed.png&w=3840&q=75)
Transcribed Image Text:dont give the same solution again .10 min left fast
Array creation: There are various ways to create arrays in NumPy.
O For example, you can create an array from a regular
Python list or tuple using the array function. The type of the resulting
array is deduced from the type of the elements in the sequences.
O Often, the elements of an array are originally unknown, but its size is
known. Hence, NumPy offers several functions to create arrays
with initial placeholder content. These minimize the necessity of
growing arrays, an expensive operation.
For example: np.zeros, np.ones, np.full, np.empty, etc.
O To create sequences of numbers, NumPy provides a function analogous to.
range that returns arrays instead of lists.
O arange: returns evenly spaced values within a given interval. step size is
specified.
O linspace: returns evenly spaced values within a given interval. num no. of
elements are returned.
O Reshaping array: We can use reshape method to reshape an array.
Consider an array with shape (a1, a2, a3, ., aN). We can reshape and
convert it into another array with shape (b1, b2, b3, ., bM). The only
required condition is:
al x a2 x a3 . x aN = b1 x b2 x b3 .. x bM . (i.e original size of array
ramaine unchanged
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