public class NDArray<T>
extends java.lang.Object
Represents a numpy.ndarray in Java. If Jep was compiled with numpy support, this
object will not be wrapped as a PyJobject in the Python
sub-interpreter(s), it will instead be transformed into a numpy.ndarray
automatically (and vice versa). The transformation in either direction occurs
with a memcpy
, therefore changes in the array in one language
will not affect the array in the other language.
NDArrays only support Java primitive arrays as the underlying type of data. The data can conceptually be multi-dimensional, but it must be represented as a one-dimensional array in Java to ensure the memory is contiguous.
Modifier and Type | Field and Description |
---|---|
protected T |
data |
protected int[] |
dimensions |
Constructor and Description |
---|
NDArray(T data)
Constructor for a Java NDArray.
|
NDArray(T data,
int... dimensions)
Constructor for a Java NDArray.
|
Modifier and Type | Method and Description |
---|---|
boolean |
equals(java.lang.Object obj) |
T |
getData() |
int[] |
getDimensions() |
int |
hashCode() |
protected final T data
protected final int[] dimensions
public NDArray(T data)
data
- a one-dimensional primitive array such as float[], int[]public NDArray(T data, int... dimensions)
data
- a one-dimensional primitive array such as float[], int[]dimensions
- the conceptual dimensions of the data (corresponds to the
numpy.ndarray dimensions in C-contiguous order)public int[] getDimensions()
public T getData()
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
public int hashCode()
hashCode
in class java.lang.Object