Hello,
It's my first post on this forum and I'm very happy to discover a forum
dedicated to matplotlib. I 've begun recently a development with matplotlib
inside my python (2.7)application.
In a first step I've developped a stand alone graphical display and it runs
properly. In a second step, I try to manage this graphical display through gtk
(because my main application is in python/gtk) : now, most of functionalities
run well, but labels on my 3 axes are no more displayed and I don't understand
why.
Thank you for all suggestions.
Here is the source code with gtk
-----------------------------------------------------------------------------------------------------------------
import sys
import gtk
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
from matplotlib.backends.backend_gtk import NavigationToolbar2GTK as
NavigationToolbar
from StringIO import StringIO # StringIO behaves like a file object
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.colors import colorConverter
from matplotlib.widgets import Button
class SectorDisplay2__:
"""
Display view of sectors and volumes
"""
def __init__(self):
win = gtk.Window()
win.connect("destroy",self.SectorDisplayClosePanel)
win.set_default_size(800,800)
vbox = gtk.VBox()
win.add(vbox)
fig = Figure()
canvas = FigureCanvas(fig) # a gtk.DrawingArea
ax = Axes3D(fig)
#get lines as csv description
line = ""
line =
line+"VOL1;P4120;0;999;-49.68722222222222;-1.52166666666667;\n"
line =
line+"VOL1;P4121;0;999;-49.68722222222222;-2.20722222222222;\n"
line =
line+"VOL1;P1421;0;999;-49.23750000000000;-2.20722222222222;\n"
line =
line+"VOL1;P1422;0;999;-49.23750000000000;-1.52166666666667;\n"
line =
line+"VOL1;P4120;0;999;-49.68722222222222;-1.52166666666667;\n"
lines = StringIO(line)
# get the list of point coordinates and level
data = np.loadtxt(lines,
delimiter=';',
usecols = (0,1,2,3,4,5), # 0=volume 1=point
2=lower level 3=upper_level, 4=lat 5=long
dtype =
np.dtype({'names':['volume','point','lower','upper','lat','long'],
'formats':
['S20','S5','i4','i4','f4','f4']}) )
# Get one particular volume
onevolume = data[data['volume']=="VOL1"]
ax.plot(onevolume['long'],onevolume['lat'],onevolume['upper'])
ax.plot(onevolume['long'],onevolume['lat'],onevolume['lower'])
for i in range(len(onevolume)-1):
ax.plot([onevolume['long'][i],onevolume['long'][i]],
[onevolume['lat'][i],onevolume['lat'][i]],
[onevolume['lower'][i],onevolume['upper'][i]])
ax.set_ylabel('Latitude (deg)')
ax.set_xlabel('Longitude (deg)')
ax.set_zlabel('Level (100xfeet)')
ax.set_title('Volumic definition')
vbox.pack_start(canvas)
toolbar = NavigationToolbar(canvas,win)
vbox.pack_start(toolbar,False,False)
win.show_all()
# Run the Gtk mainloop
gtk.main()
def SectorDisplayClosePanel(self,caller):
gtk.main_quit()
if __name__ == '__main__':
SectorDisplay2__()
-------------------------------------------------------------------------------------
Here is the initial source code without gtk:
-------------------------------------------------------------------------------------
import sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
from matplotlib.backends.backend_gtk import NavigationToolbar2GTK as
NavigationToolbar
from StringIO import StringIO # StringIO behaves like a file object
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.colors import colorConverter
from matplotlib.widgets import Button
class SectorDisplay2__:
"""
Display view of sectors and volumes
"""
def __init__(self):
"""
@param parentWin: Window which is parent of this window
@type parentWin: Widget
@param typevol: give the type of volume : volume, sector, non
controlled area ...
@type typevol: str
@param entity_name: entity to display
@type entity_name: str
@type application: <Application__>
@param application: instance of class Application__
@param class_creation: indicates a class creation and not only
a call to Class__.__init__
@type class_creation: boolean
"""
fig = plt.figure()
ax = Axes3D(fig)
#get lines as csv description
line = ""
line =
line+"VOL1;P4120;0;999;-49.68722222222222;-1.52166666666667;\n"
line =
line+"VOL1;P4121;0;999;-49.68722222222222;-2.20722222222222;\n"
line =
line+"VOL1;P1421;0;999;-49.23750000000000;-2.20722222222222;\n"
line =
line+"VOL1;P1422;0;999;-49.23750000000000;-1.52166666666667;\n"
line =
line+"VOL1;P4120;0;999;-49.68722222222222;-1.52166666666667;\n"
lines = StringIO(line)
# get the list of point coordinates and level
data = np.loadtxt(lines,
delimiter=';',
usecols = (0,1,2,3,4,5), # 0=volume 1=point
2=lower level 3=upper_level, 4=lat 5=long
dtype =
np.dtype({'names':['volume','point','lower','upper','lat','long'],
'formats':
['S20','S5','i4','i4','f4','f4']}) )
# Get one particular volume
onevolume = data[data['volume']=="VOL1"]
ax.plot(onevolume['long'],onevolume['lat'],onevolume['upper'])
ax.plot(onevolume['long'],onevolume['lat'],onevolume['lower'])
for i in range(len(onevolume)-1):
ax.plot([onevolume['long'][i],onevolume['long'][i]],
[onevolume['lat'][i],onevolume['lat'][i]],
[onevolume['lower'][i],onevolume['upper'][i]])
ax.set_ylabel('Latitude (deg)')
ax.set_xlabel('Longitude (deg)')
ax.set_zlabel('Level (100xfeet)')
ax.set_title('Volumic definition')
plt.show()
def SectorDisplayClosePanel(self,caller):
plt.close()
if __name__ == '__main__':
SectorDisplay2__()
-------------------------------------------------------------------------------------
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