Charactercode

'd'

Canonicalname

numpy.double

Alias

numpy.float_

Aliasonthisplatform(Darwinarm64)

numpy.float64 : 64-bit precision floating-point number type: sign bit, 11 bits exponent, 52 bits mantissa.

Double-precision floating-point number type, compatible with Python :None:None:`float` and C double .

Examples

See :

Back References

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

numpy.cov dask.array.routines.cov dask.array.routines.corrcoef numpy.zeros scipy.spatial._qhull.HalfspaceIntersection scipy.signal._wavelets.morlet2 numpy.ones numpy.mean scipy.optimize._optimize.approx_fprime numpy.nanmean numpy.ma.extras.average numpy.ma.extras.median scipy.integrate._quadrature.newton_cotes dask.utils.empty numpy.ma.core.var numpy.nanvar scipy.special._ellip_harm.ellip_harm numpy.corrcoef numpy.float64 numpy.typing numpy.var numpy.ma.core.MaskedArray.var numpy.empty numpy.lib.format.open_memmap

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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

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GitHub : /numpy/__init__.py#None
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