java.lang.Object
jep.DirectNDArray<T>
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 wrapped as a numpy.ndarray automatically. The numpy.ndarray will reference the exact same memory as the buffer so changes in either language will be immediately visible in both.
DirectNDArrays only support direct buffers as the underlying type of data. The data can conceptually be multi-dimensional, but it must be represented as a one-dimensional direct buffer in Java to ensure the memory is contiguous.
- Since:
- 3.7
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Constructor Summary
ConstructorsConstructorDescriptionDirectNDArray
(T data) Constructor for a Java DirectNDArray.DirectNDArray
(T data, boolean unsigned) Constructor for a Java DirectNDArray.DirectNDArray
(T data, boolean unsigned, int... dimensions) Constructor for a Java DirectNDArray.DirectNDArray
(T data, int... dimensions) Constructor for a Java DirectNDArray. -
Method Summary
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Constructor Details
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DirectNDArray
Constructor for a Java DirectNDArray. Presumes the data is one dimensional.- Parameters:
data
- a direct Buffer
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DirectNDArray
Constructor for a Java DirectNDArray. Presumes the data is one dimensional.- Parameters:
data
- a direct Bufferunsigned
- whether the data is to be interpreted as unsigned
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DirectNDArray
Constructor for a Java DirectNDArray.- Parameters:
data
- a direct Bufferdimensions
- the conceptual dimensions of the data (corresponds to the numpy.ndarray dimensions in C-contiguous order)
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DirectNDArray
Constructor for a Java DirectNDArray.- Parameters:
data
- a direct Bufferunsigned
- whether the data is to be interpreted as unsigneddimensions
- the conceptual dimensions of the data (corresponds to the numpy.ndarray dimensions in C-contiguous order)
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Method Details