NumPy - Array Manipulation

Several routines are available in NumPy package for manipulation of elements in ndarray object. They can be classified into the following types −

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 backwards
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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