I've got the following code that produces a plot that can interactively be modified. Clicking / holding the left mouse button sets the marker position, Holding the right button and moving the mouse moves the plotted data in direction x and using the mouse wheel zooms in/out. Additionally, resizing the window calls figure.tight_layout()
so that the size of the axes is adapted to the window size.
# coding=utf-8
from __future__ import division
from Tkinter import *
import matplotlib
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from numpy import arange, sin, pi
matplotlib.use('TkAgg')
class PlotFrame(Frame):
def __init__(self, master, **ops):
Frame.__init__(self, master, **ops)
self.figure = Figure()
self.axes_main = self.figure.add_subplot(111)
for i in range(10):
t = arange(0, 300, 0.01)
s = sin(0.02 * pi * (t + 10 * i))
self.axes_main.plot(t, s)
self.plot = FigureCanvasTkAgg(self.figure, master=self)
self.plot.show()
self.plot.get_tk_widget().pack(fill=BOTH, expand=1)
self.dragging = False
self.dragging_button = None
self.mouse_pos = [0, 0]
self.marker = self.figure.axes[0].plot((0, 0), (-1, 1), 'black', linewidth=3)[0]
self.plot.mpl_connect('button_press_event', self.on_button_press)
self.plot.mpl_connect('button_release_event', self.on_button_release)
self.plot.mpl_connect('motion_notify_event', self.on_mouse_move)
self.plot.mpl_connect('scroll_event', self.on_mouse_scroll)
self.plot.mpl_connect("resize_event", self.on_resize)
def on_resize(self, _):
self.figure.tight_layout()
def axes_size(self):
pos = self.axes_main.get_position()
bbox = self.figure.get_window_extent().transformed(self.figure.dpi_scale_trans.inverted())
width, height = bbox.width * self.figure.dpi, bbox.height * self.figure.dpi
axis_size = [(pos.x1 - pos.x0) * width, (pos.y1 - pos.y0) * height]
return axis_size
def on_button_press(self, event):
# right mouse button clicked
if not self.dragging and event.button in (1, 3):
self.dragging = True
self.dragging_button = event.button
self.mouse_pos = [event.x, event.y]
# left mouse button clicked
if event.button == 1 and event.xdata is not None:
self.move_marker(event.xdata)
def on_button_release(self, event):
if self.dragging and self.dragging_button == event.button:
self.dragging = False
def on_mouse_move(self, event):
if self.dragging and self.dragging_button == 3:
dx = event.x - self.mouse_pos[0]
self.mouse_pos = [event.x, event.y]
x_min, x_max = self.figure.axes[0].get_xlim()
x_range = x_max - x_min
x_factor = x_range / self.axes_size()[0]
self.figure.axes[0].set_xlim([x_min - dx * x_factor, x_max - dx * x_factor])
self.plot.draw()
elif self.dragging and self.dragging_button == 1:
self.move_marker(event.xdata)
def on_mouse_scroll(self, event):
if event.xdata is None:
return
zoom_direction = -1 if event.button == 'up' else 1
zoom_factor = 1 + .4 * zoom_direction
x_min, x_max = self.figure.axes[0].get_xlim()
min = event.xdata + (x_min - event.xdata) * zoom_factor
max = event.xdata + (x_max - event.xdata) * zoom_factor
self.figure.axes[0].set_xlim([min, max])
self.plot.draw()
def move_marker(self, x_position):
y_min, y_max = self.figure.axes[0].get_ylim()
self.marker.set_data((x_position, x_position), (y_min, y_max))
self.plot.draw()
if __name__ == '__main__':
gui = Tk()
vf = PlotFrame(gui)
vf.pack(fill=BOTH, expand=1)
gui.mainloop()
The implementation works fine, but rendering is really slow when displaying a lot of lines. How can I make rendering faster? As you can see in the implementation above, the whole plot is drawn completely every time anything changes which shouldn't be necessary. My thoughts on this:
Drawing everything when resizing/zooming is fine for me, but I really need faster drawing of the latter two modifications. I already looked into matplotlib's animations, but as far as I understood, they won't help in my case. Any help is greatly appreciated, thanks!
The solution seems to be to cache elements that get redrawn as you said:
One major thing that gets redrawn is the background:
# cache the background
background = fig.canvas.copy_from_bbox(ax.bbox)
After caching restore it using restore region
then just re-draw the points/line at every call you need
# restore background
fig.canvas.restore_region(background)
# redraw just the points
ax.draw_artist(points)
# fill in the axes rectangle
fig.canvas.blit(ax.bbox)
To optimize drawing blitting can be used. With it only given artists (those that were changed) will be rendered instead of the whole figure.
Motplotlib uses that technique internally in the animation module. You can use Animation
class in it as a reference to implement the same behaviour in your code. Look at the _blit_draw()
and several related functions after it in the sources.
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