使用快速将 pylab 图形嵌入 Gtk 应用程序中的问题

使用快速将 pylab 图形嵌入 Gtk 应用程序中的问题

我目前正在尝试构建一个包含一些pylab数字的简单应用程序。我刚开始使用quickly,我担心一些导入问题。也就是说,所有matplotlib后端都无法工作。

import更具体地说,如果我的主文件中以下任何语句被取消注释,quickly则将无法运行该应用程序

#from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
#from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
#from matplotlib.backends.backend_gtkcairo import FigureCanvasGTKCairo as FigureCanvas

所以我没有办法嵌入情节。

quickly run如果backend_gtk取消注释,则输出如下

/usr/lib/python2.7/dist-packages/gobject/constants.py:24: Warning: g_boxed_type_register_static: assertion `g_type_from_name (name) == 0' failed   import gobject._gobject 
/usr/lib/python2.7/dist-packages/gtk-2.0/gtk/__init__.py:40: Warning: specified class size for type `PyGtkGenericCellRenderer' is smaller than the parent type's `GtkCellRenderer' class size   from gtk import
_gtk 
/usr/lib/python2.7/dist-packages/gtk-2.0/gtk/__init__.py:40: Warning: g_type_get_qdata: assertion `node != NULL' failed   from gtk import _gtk

有什么办法可以解决这个问题吗?您需要更多信息吗?

答案1

您至少需要 1.2.0 版本的 matplotlib,然后使用 GTK3 后端。

示例取自http://matplotlib.org/examples/user_interfaces/embedding_in_gtk3.html

#!/usr/bin/env python
"""
demonstrate adding a FigureCanvasGTK3Agg widget to a Gtk.ScrolledWindow
using GTK3 accessed via pygobject
"""

from gi.repository import Gtk

from matplotlib.figure import Figure
from numpy import arange, sin, pi
from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg as FigureCanvas

win = Gtk.Window()
win.connect("delete-event", Gtk.main_quit )
win.set_default_size(400,300)
win.set_title("Embedding in GTK")

f = Figure(figsize=(5,4), dpi=100)
a = f.add_subplot(111)
t = arange(0.0,3.0,0.01)
s = sin(2*pi*t)
a.plot(t,s)

sw = Gtk.ScrolledWindow()
win.add (sw)
# A scrolled window border goes outside the scrollbars and viewport
sw.set_border_width (10)

canvas = FigureCanvas(f)  # a Gtk.DrawingArea
canvas.set_size_request(800,600)
sw.add_with_viewport (canvas)

win.show_all()
Gtk.main()

注意:Ubuntu 12.04 存储库中没有 Matplotlib 1.2.0,但可以通过以下方式安装pip

sudo pip install matplotlib

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