sphere3d

QuadratiK.tools.sphere3d(x: ndarray | DataFrame, y: ndarray | list | Series | None = None, use_dimensionality_reduction: bool = True, use_dimensionality_reduction_method: str = 'spherical_pca') → Figure

The function sphere3d creates a 3D scatter plot with a sphere as the surface and data points plotted on it.

Parameters

xnumpy.ndarray, pandas.DataFrame

The parameter x represents the input data for the scatter plot. It should be a 2D array-like object with shape (n_samples, 3), where each row represents the coordinates of a point in 3D space.

ynumpy.ndarray, list, pandas.series, optional

The parameter y is an optional input that determines the color and shape of each data point in the plot. If y is not provided, the scatter plot will have the default marker symbol and color.

use_dimensionality_reductionbool, optional

If True, dimensionality reduction is applied to the input data x to project it into 3D space. Defaults to True.

use_dimensionality_reduction_methodstr, optional

The method used for dimensionality reduction. Currently supports “spherical_pca” or “pca”. Defaults to “spherical_pca”.

Returns

go.Figure

Returns a Plotly Figure object containing a 3D plot of a sphere with data points plotted on it.

Examples

import numpy as np
from QuadratiK.tools import sphere3d
np.random.seed(42)
X = np.random.randn(100,3)
sphere3d(X)