Quadtree Node

The QuadNode class for each quadtree node in an astroQTpy quadtree.

class astroqtpy.quadnode.QuadNode(x_min: float, x_max: float, y_min: float, y_max: float, depth: int = 0)

Quadtree node.

A class for astroQTpy quadtree nodes. Each node is defined by its given boundary limits and ‘depth’, and may contain up to any given number of quadtree points.

Parameters:

  • x_min (float) – Minimum x value of this node.

  • x_max (float) – Maximum x value of this node.

  • y_min (float) – Minimum y value of this node.

  • y_max (float) – Maximum y value of this node.

  • depth (int, optional) – Depth of this node. Defaults to 0.

draw_node(ax: Axes, mappable: ScalarMappable, show_colors: bool, show_lines: bool, show_points: bool, show_values: bool, statistic: str) → None

Draw node.

Plot this node on a matplotlib axis.

Parameters:

  • ax (matplotlib.axes.Axes) – Axis for plotting.

  • mappable (matplotlib.cm.ScalarMappable) – Scalar mappable for color mapping.

  • show_colors (bool) – Whether to draw colors inside nodes.

  • show_lines (bool) – Whether to draw boundary lines between nodes.

  • show_points (bool) – Whether to plot points contained within this node.

  • show_values (bool) – Whether to print the value of this node on the plot.

  • statistic (str) – Statistic to pass to ‘get_node_value’. Choose from [‘count’, ‘mean’, ‘std’, or ‘median’].

get_node_value(statistic: str) → float

Get node value.

Convenience function to grab this node’s value.

Parameters:

statistic (str) – Statistic to pass to ‘_generate_node_value’. Choose from [‘count’, ‘mean’, ‘std’, or ‘median’].

Returns:

Node value.

Return type:

float

print_node_points() → None

Print node points.

Convenience function to print each point contained within this node to a given file.

print_node_value(statistic: str) → None

Print node value.

Convenience function to print the value of this node to a given file.

Parameters:

statistic (str) – Statistic to pass to ‘get_node_value’. Choose from [‘count’, ‘mean’, ‘std’, or ‘median’].

split_node() → None

Split node.

Split this node into 4 equal ‘child’ nodes. Distribute any points contained within this node to its children.