iscomplexobj(x)
The type of the input is checked, not the value. Even if the input has an imaginary part equal to zero, iscomplexobj
evaluates to True.
The input can be of any type and shape.
The return value, True if x is of a complex type or has at least one complex element.
Check for a complex type or an array of complex numbers.
>>> np.iscomplexobj(1) False
>>> np.iscomplexobj(1+0j) True
>>> np.iscomplexobj([3, 1+0j, True]) TrueSee :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.iscomplexobj
numpy.isrealobj
numpy.iscomplex
numpy.iscomplexobj
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them