Module `sleplet.plotting`

Classes to create plots on the sphere or mesh.

Classes

class PlotMesh (*args: Any, **kwargs: Any)

Create surface mesh plot via plotly.

var amplitude : float | None: Whether to customise the amplitude range of the colour bar.
var f : numpy.ndarray[typing.Any, numpy.dtype[numpy.complex128 | numpy.float64]]: The field value sampled on the mesh.
var filename : str: The output filename of the plot.
var mesh : Mesh: The given mesh object.
var normalise : bool: Whether to normalise the plot or not.
var region : bool: Whether to set the field values outside of the region to zero.

def execute(self: Self, colour: matplotlib.colors.LinearSegmentedColormap = <matplotlib.colors.LinearSegmentedColormap object>) ‑> None

Perform the plot.

class PlotSphere (*args: Any, **kwargs: Any)

Create surface sphere plot via plotly.

var L : int: The spherical harmonic bandlimit.
var amplitude : float | None: Whether to customise the amplitude range of the colour bar.
var annotations : list[dict[str, float | int]]: Whether to display any annotations on the surface plot or not.
var f : numpy.ndarray[typing.Any, numpy.dtype[numpy.complex128 | numpy.float64]]: The field value sampled on the sphere.
var filename : str: The output filename of the plot.
var normalise : bool: Whether to normalise the plot or not.
var plot_type : str: Whether to display the real, imag, abs or sum value of the field.
var reality : bool: Whether the given signal is real or not.
var region : Region | None: Whether to set the field values outside of a given region to zero.
var spin : int: Spin value.
var upsample : bool: Whether to upsample the current field.