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1 : # SPDX-FileCopyrightText: 2025 PairInteraction Developers 2 : # SPDX-License-Identifier: LGPL-3.0-or-later 3 1 : from __future__ import annotations 4 : 5 1 : from typing import TYPE_CHECKING 6 : 7 1 : import numpy as np 8 1 : from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg 9 1 : from matplotlib.figure import Figure 10 1 : from PySide6.QtCore import Qt, QTimer 11 : 12 : if TYPE_CHECKING: 13 : from PySide6.QtGui import QWheelEvent 14 : from PySide6.QtWidgets import QWidget 15 : 16 : 17 1 : class MatplotlibCanvas(FigureCanvasQTAgg): 18 : """Canvas for matplotlib figures.""" 19 : 20 1 : def __init__(self, parent: QWidget | None = None) -> None: 21 : """Initialize the canvas with a figure.""" 22 : # Create the figure directly instead of via pyplot, so it is not registered in pyplot's global 23 : # figure manager, which would keep this canvas (and thus the whole widget) alive forever. 24 1 : self.fig = Figure() 25 1 : self.ax = self.fig.add_subplot() 26 1 : super().__init__(self.fig) 27 : 28 1 : self.setup_zoom() 29 : 30 1 : def setup_zoom(self) -> None: 31 : """Set up mouse wheel zoom functionality.""" 32 : # Wheel event accumulation variables 33 1 : self.wheel_accumulation: float = 0 34 1 : self.last_wheel_pos: list[list[float]] = [] 35 1 : self.wheel_timer = QTimer(self) 36 1 : self.wheel_timer.setSingleShot(True) 37 1 : self.wheel_timer.timeout.connect(self.apply_accumulated_zoom) 38 1 : self.setFocusPolicy(Qt.FocusPolicy.StrongFocus) 39 1 : self.setMouseTracking(True) 40 : 41 1 : def wheelEvent(self, event: QWheelEvent) -> None: 42 : """Handle mouse wheel events for zooming.""" 43 0 : self.wheel_accumulation += event.angleDelta().y() / 120 44 0 : self.last_wheel_pos.append([event.position().x(), event.position().y()]) 45 0 : self.wheel_timer.start(100) # Apply zoom after 100ms of inactivity 46 : 47 1 : def apply_accumulated_zoom(self) -> None: 48 : """Apply the accumulated zoom from wheel events.""" 49 0 : if not self.wheel_accumulation: 50 0 : return 51 : 52 0 : x_min, x_max = self.ax.get_xlim() 53 0 : y_min, y_max = self.ax.get_ylim() 54 : 55 0 : scale_factor = 1 - 0.1 * self.wheel_accumulation 56 : 57 : # Get the mouse position in data coordinates 58 0 : wheel_pos_mean = np.mean(self.last_wheel_pos, axis=0) 59 0 : x_data, y_data = self.ax.transData.inverted().transform(wheel_pos_mean) 60 0 : y_data = -(y_data - (y_max + y_min) / 2) + (y_max + y_min) / 2 # y_data is mirrored bottom / top 61 : 62 0 : self.wheel_accumulation = 0 63 0 : self.last_wheel_pos = [] 64 : 65 0 : if x_data > x_max or y_data > y_max or (x_data < x_min and y_data < y_min): 66 0 : return 67 : 68 0 : if x_min <= x_data <= x_max: 69 0 : x_min_new = x_data - (x_data - x_min) * scale_factor 70 0 : x_max_new = x_data + (x_max - x_data) * scale_factor 71 0 : self.ax.set_xbound(x_min_new, x_max_new) 72 0 : self.ax.set_autoscalex_on(False) 73 : 74 0 : if y_min <= y_data <= y_max: 75 0 : y_min_new = y_data - (y_data - y_min) * scale_factor 76 0 : y_max_new = y_data + (y_max - y_data) * scale_factor 77 0 : self.ax.set_ybound(y_min_new, y_max_new) 78 0 : self.ax.set_autoscaley_on(False) 79 : 80 : # Redraw the canvas 81 0 : self.draw_idle()