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
|
