issubdtype(arg1, arg2)

This is like the builtin issubclass , but for dtype \ s.

Parameters

arg1, arg2 : dtype_like

dtype or object coercible to one

Returns

out : bool

Returns True if first argument is a typecode lower/equal in type hierarchy.

See Also

arrays.scalars

Overview of the numpy type hierarchy.

issubclass_

issubsctype

Examples

issubdtype can be used to check the type of arrays:

>>> ints = np.array([1, 2, 3], dtype=np.int32)
... np.issubdtype(ints.dtype, np.integer)
True

>>> np.issubdtype(ints.dtype, np.floating)
False

>>> floats = np.array([1, 2, 3], dtype=np.float32)
... np.issubdtype(floats.dtype, np.integer)
False

>>> np.issubdtype(floats.dtype, np.floating)
True

Similar types of different sizes are not subdtypes of each other:

>>> np.issubdtype(np.float64, np.float32)
False

>>> np.issubdtype(np.float32, np.float64)
False

but both are subtypes of floating :

>>> np.issubdtype(np.float64, np.floating)
True

>>> np.issubdtype(np.float32, np.floating)
True

For convenience, dtype-like objects are allowed too:

>>> np.issubdtype('S1', np.string_)
True

>>> np.issubdtype('i4', np.signedinteger)
True

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.obj2sctype numpy.issubdtype numpy.issubclass_ numpy.issctype numpy.issubsctype

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GitHub : /numpy/core/numerictypes.py#356
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