add core Widget

kivyplots/kivyplot.py

@@ -0,0 +1,125 @@
+import matplotlib
+matplotlib.use('module://kivy.garden.matplotlib.backend_kivy')
+from kivy.garden.matplotlib.backend_kivyagg import NavigationToolbar2Kivy
+from kivy.uix.boxlayout import BoxLayout
+import matplotlib.pyplot as plt
+from kivy.properties import BooleanProperty
+
+"""
+def press(event):
+	print('press released from test', event.x, event.y, event.button)
+
+def release(event):
+	print('release released from test', event.x, event.y, event.button)
+
+def keypress(event):
+	print('key down', event.key)
+
+def keyup(event):
+	print('key up', event.key)
+
+def motionnotify(event):
+	print('mouse move to ', event.x, event.y)
+
+def resize(event):
+	print('resize from mpl ', event.width, event.height)
+
+def scroll(event):
+	print('scroll event from mpl ', event.x, event.y, event.step)
+
+def figure_enter(event):
+	print('figure enter mpl')
+
+def figure_leave(event):
+	print('figure leaving mpl')
+
+def close(event):
+	print('closing figure')
+
+def enter_axes(event):
+	print('enter_axes', event.inaxes)
+	event.inaxes.patch.set_facecolor('yellow')
+	event.canvas.draw()
+
+def leave_axes(event):
+	print('leave_axes', event.inaxes)
+	event.inaxes.patch.set_facecolor('white')
+	event.canvas.draw()
+
+"""
+
+class KivyPlot(BoxLayout):
+	event_mappings = {
+		'button_press_event': 'on_button_press',
+		'button_release_event': 'on_button_release',
+		'key_press_event': 'on_key_press',
+		'key_release_event': 'on_key_release',
+		'motion_notify_event': 'on_mouse_move',
+		'resize_event': 'on_resize',
+		'scroll_event': 'on_scroll',
+		'figure_enter_event': 'on_figure_enter',
+		'figure_leave_event': 'on_figure_leave',
+		'axes_enter_event': 'on_axes_enter',
+		'axes_leave_event': 'on_axes_leave',
+		'close_event': 'on_plot_close'
+	}
+	plot_bar = BooleanProperty(False)
+	def __init__(self, **kw):
+		super().__init__(**kw)
+		self.fig, self.ax = plt.subplots()
+		self.orientation = 'vertical'
+		canvas = self.fig.canvas
+		f = self.event_handler
+		for ev in self.event_mappings.keys():
+			canvas.mpl_connect(ev, f)
+		for ev in self.event_mappings.values():
+			self.add_event_type(ev)
+
+	def add_event_type(self, name):
+		setattr(self, name, self.default_handler)
+		self.register_event_type(name)
+
+	def default_handler(self, event):
+		pass
+
+	def event_handler(self, event):
+		ev = self.event_mappings.get(event.name)
+		self.dispatch(ev, event)
+
+	def __enter__(self):
+		return self.ax
+
+	def __exit__(self, *args):
+		canvas = self.fig.canvas
+		# canvas.draw()
+		if self.plot_bar:
+			nav1 = NavigationToolbar2Kivy(canvas)
+			self.add_widget(nav1.actionbar)
+		self.add_widget(canvas)
+
+if __name__ == '__main__':
+	from kivy.app import App
+	import numpy as np
+	class MatplotlibTest(App):
+		title = 'Matplotlib Test'
+
+		def build(self):
+			fl = KivyPlot(plot_bar=True)
+			with fl as ax:
+				print('ak=', ax)
+				N = 5
+				menMeans = (20, 35, 30, 35, 27)
+				menStd = (2, 3, 4, 1, 2)
+
+				ind = np.arange(N)  # the x locations for the groups
+				width = 0.35	   # the width of the bars
+				rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)
+				ax.set_ylabel('得分')
+				ax.set_title('Scores by group and gender')
+				ax.set_xticks(ind + width)
+				ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
+
+
+			return fl
+
+	MatplotlibTest().run()