graphinglib.Heatmap.from_points#
- classmethod Heatmap.from_points(points: ArrayLike, values: ArrayLike, x_axis_range: tuple[float, float], y_axis_range: tuple[float, float], grid_interpolation: str = 'nearest', fill_value: float = nan, color_map: str | Colormap = 'default', show_color_bar: bool = True, alpha_value: float = 1.0, aspect_ratio: str | float = 'default', origin_position: str = 'default', interpolation: str = 'none', number_of_points: tuple[int, int] = (50, 50))[source]#
Creates a heatmap by interpolating unevenly distributed data points on a grid.
- Parameters:
- pointsArrayLike
The list or array of points at which values are known.
- valuesArrayLike
The list or array of values at given points.
- x_axis_range, y_axis_rangetuple[float, float], optional
The range of x and y values used for the axes as tuples containing the start and end of the range.
- grid_interpolationstr
Interpolation method to be used when interpolating the uneavenly distributed data on a grid. Must be one of {“nearest”, “linear”, “cubic”}.
- color_mapstr, Colormap
The color map to use for the
Heatmap
. Can either be specified as a string (named colormap from Matplotlib) or a Colormap object. Default depends on thefigure_style
configuration.- show_color_barbool
Whether or not to display the color bar next to the plot. Defaults to
True
.- alpha_valuefloat
Opacity value of the
Heatmap
. Defaults to 1.0.- aspect_ratiostr or float
Aspect ratio of the axes. Default depends on the
figure_style
configuration.- origin_positionstr
Position of the origin of the axes (upper left or lower left corner). Default depends on the
figure_style
configuration.- interpolationstr
Interpolation method to be applied to the image. Defaults to
"none"
.See also
For other interpolation methods, refer to Interpolations for imshow.
- number_of_pointstuple[int, int]
Number of points in the x and y coordinates. Defaults to
(50, 50)
.
- Returns:
- A
Heatmap
object created from data points.
- A