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In this chapter, we will discuss about NumPy Array Manipulation. Several routines are available in the NumPy package for manipulation of elements in ndarray object. And they can be classified −

Types NumPy Array Manipulation

Changing Shape

Sr.No.	Shape & Description
1	Reshape Gives a new shape to an array without changing its data
2	Flat A 1-D iterator over the array
3	Flatten Returns a copy of the array collapsed into one dimension
4	Ravel Returns a contiguous flattened array

Transpose Operations

Sr.No.	Operation & Description
1	Transpose Permutes the dimensions of an array
2	Ndarray.T Same as self.transpose()
3	Rollaxis Rolls the specified axis backward
4	Swapaxes Interchanges the two axes of an array

Changing Dimensions

Sr.No.	Dimension & Description
1	Broadcast Produces an object that mimics broadcasting
2	Broadcast_to Broadcasts an array to a new shape
3	Expand_dims Expands the shape of an array
4	Squeeze Removes single-dimensional entries from the shape of an array

Joining Arrays

Sr.No.	Array & Description
1	Concatenate Joins a sequence of arrays along an existing axis
2	Stack Joins a sequence of arrays along a new axis
3	Hstack Stacks arrays in sequence horizontally (column-wise)
4	Vstack Stacks arrays in sequence vertically (row-wise)

Splitting Arrays

Sr.No.	Array & Description
1	Split Splits an array into multiple sub-arrays
2	Hsplit Splits an array into multiple sub-arrays horizontally (column-wise)
3	Vsplit Splits an array into multiple sub-arrays vertically (row-wise)

Adding / Removing Elements

Sr.No.	Element & Description
1	Resize Returns a new array with the specified shape
2	Append Appends the values to the end of an array
3	Insert Inserts the values along the given axis before the given indices
4	Delete Returns a new array with sub-arrays along an axis deleted
5	Unique Finds the unique elements of an array

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