def __init__(self, data_source_filename, parent=None, exit_on_close=True):
self.in_filename = data_source_filename
#todo check the file exists
in_file = VOAOutFile(self.in_filename)
self.exit_on_close = exit_on_close
self.uifile = os.path.join(
os.path.realpath(os.path.dirname(sys.argv[0])),
"voaP2PPlotgui.glade")
self.wTree = gtk.Builder()
self.wTree.add_from_file(self.uifile)
self.get_objects("dialog", "type_combobox", "group_combobox",
"tz_spinbutton", "cmap_combobox")
self.parent = parent
self.dialog.set_transient_for(self.parent)
self.dialog.set_title(_("Plot Control"))
if in_file.get_number_of_groups() >= 2:
self.plot_type_d[5] = _('3D: MUF')
self.populate_combo(self.type_combobox, self.plot_type_d, 'value')
model = self.type_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == '2': # reliability
self.type_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
self.populate_combo(self.cmap_combobox, self.cmap_d, 'value')
model = self.cmap_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == 'jet':
self.cmap_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
d = {
0: _('All Plots'),
}
l = in_file.get_group_titles()
d.update(zip(range(1, len(l) + 1), l))
self.populate_combo(self.group_combobox, d, 'key')
event_dic = {
"on_dialog_destroy": self.quit_application,
"on_cancel_button_clicked": self.quit_application,
"on_ok_button_clicked": self.run_plot
}
self.wTree.connect_signals(event_dic)
self.dialog.connect('delete_event', self.quit_application)
self.dialog.run()
def __init__(self, data_source_filename, parent = None, exit_on_close = True):
self.in_filename = data_source_filename
#todo check the file exists
in_file = VOAOutFile(self.in_filename)
self.exit_on_close = exit_on_close
self.uifile = os.path.join(os.path.realpath(os.path.dirname(sys.argv[0])), "voaP2PPlotgui.glade")
self.wTree = gtk.Builder()
self.wTree.add_from_file(self.uifile)
self.get_objects("dialog", "type_combobox", "group_combobox",
"tz_spinbutton", "cmap_combobox")
self.parent = parent
self.dialog.set_transient_for(self.parent)
self.dialog.set_title(_("Plot Control"))
if in_file.get_number_of_groups() >= 2:
self.plot_type_d[5] = _('3D: MUF')
self.populate_combo(self.type_combobox, self.plot_type_d, 'value')
model = self.type_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == '2': # reliability
self.type_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
self.populate_combo(self.cmap_combobox, self.cmap_d, 'value')
model = self.cmap_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == 'jet':
self.cmap_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
d = { 0 : _('All Plots'),}
l = in_file.get_group_titles()
d.update(zip(range(1, len(l)+1), l))
self.populate_combo(self.group_combobox, d, 'key')
event_dic = { "on_dialog_destroy" : self.quit_application,
"on_cancel_button_clicked" : self.quit_application,
"on_ok_button_clicked" : self.run_plot}
self.wTree.connect_signals(event_dic)
self.dialog.connect('delete_event', self.quit_application)
self.dialog.run()
def __init__(self, data_file,
data_type = 2,
color_map = 'jet',
plot_label = "",
time_zone = 0,
plot_max_freq = 30.0,
run_quietly = False,
save_file = '',
parent = None):
self.data_type = data_type
self.data_file = VOAOutFile(data_file, \
time_zone=time_zone, \
data_type=self.data_type)
self.image_defs = self.IMG_TYPE_DICT[self.data_type]
#color_map = eval('P.cm.' + color_map)
num_grp = self.data_file.get_number_of_groups()
if num_grp < 2:
md = Gtk.MessageDialog(parent, \
Gtk.DialogFlags.MODAL,\
Gtk.MessageType.ERROR, \
Gtk.ButtonsType.CANCEL, \
"There must be 2 groups or more")
md.run()
md.destroy()
return
plot_groups = range(0, num_grp)
self.subplots = []
number_of_subplots = len(plot_groups)
matplotlib.rcParams['axes.edgecolor'] = 'gray'
matplotlib.rcParams['axes.facecolor'] = 'white'
matplotlib.rcParams['axes.grid'] = True
matplotlib.rcParams['figure.facecolor'] = 'white'
matplotlib.rcParams['legend.fancybox'] = True
matplotlib.rcParams['legend.shadow'] = True
matplotlib.rcParams['figure.subplot.hspace'] = 0.45
matplotlib.rcParams['figure.subplot.wspace'] = 0.35
matplotlib.rcParams['figure.subplot.right'] = 0.85
colorbar_fontsize = 12
self.main_title_fontsize = 24
matplotlib.rcParams['legend.fontsize'] = 12
matplotlib.rcParams['axes.labelsize'] = 12
matplotlib.rcParams['axes.titlesize'] = 10
matplotlib.rcParams['xtick.labelsize'] = 10
matplotlib.rcParams['ytick.labelsize'] = 10
self.x_axes_ticks = np.arange(0, 25, 2)
self.fig = Figure()
ax = Axes3D(self.fig)
X = np.arange(0, 25)
Y = np.arange(0, len(plot_groups))
X, Y = np.meshgrid(X, Y)
data_buffer = [] # hold the Z data sets
for chan_grp in plot_groups:
(group_name, group_info, fot, muf, hpf, image_buffer) = \
self.data_file.get_group_data(chan_grp)
# Copy the element at [0] to the tail of the array
#to 'wrap-around' the values at 24hrs.
np.resize(muf, len(muf)+1)
muf[-1] = muf[0]
data_buffer.append(muf)
Z = np.vstack((tuple(data_buffer)))
# set up the titles and labels
ax.set_xticks(np.arange(0, 25, 2))
if (plot_max_freq==self.AUTOSCALE) :
z_max = math.ceil(max(muf) / 5.0) * 5.0
z_max = min(plot_max_freq, 30.0)
z_max = max(plot_max_freq, 5.0)
else :
z_max = math.ceil(plot_max_freq / 5.0) * 5.0
z_ticks = [2, 5]
for z_tick_value in np.arange(10, z_max+1, 5):
z_ticks.append(z_tick_value)
#ax.set_yticks(z_ticks)
#label axes
tz_sign = '+' if (time_zone >= 0) else ''
self.x_label = ax.set_xlabel('Time (UTC%s%s)' % (tz_sign, time_zone))
self.y_label = ax.set_ylabel('Group')
self.z_label = ax.set_zlabel('Frequency (MHz)')
#do the plot
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=color_map)
canvas = FigureCanvasGTK3Agg(self.fig)
canvas.show()
Axes3D.mouse_init(ax)
VOAPlotWindow('pythonProp - ' + self.image_defs['title'], \
canvas, \
parent)
return
class VOA3DPlot:
"""Program to plot .out files produced by voacap in 3D"""
AUTOSCALE = -1.0
IMG_TYPE_DICT = { 0:{'title':'', \
'min':0, \
'max':1, \
'y_labels':(0), \
'formatter':'defaultFormat'}, \
1:{'title':'MUF Days (%)', \
'min':0, \
'max':1, \
'y_labels':(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),\
'formatter':'percent_format'}, \
2:{'title':'Circuit Reliability (%)', \
'min':0, \
'max':1, \
'y_labels':(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),\
'formatter':'percent_format'}, \
3:{'title':'SNR at Receiver (dB)', \
'min':20, \
'max':70, \
'y_labels':(20, 30, 40, 50, 60, 70), \
'formatter':'SNR_format'}, \
4:{'title':'Signal Strength at Receiver (dBW)', \
'min':-151, \
'max':-43, \
'y_labels':(-151, -145, -139, -133, -127, -121,-115, -109, \
-103, -93, -83, -73, -63, -53, -43), \
'formatter':'SDBW_format'} }
mono_font = {'family' : 'monospace'}
#default_font = {'family' : 'sans-serif'}
def __init__(self, data_file,
data_type = 2,
color_map = 'jet',
plot_label = "",
time_zone = 0,
plot_max_freq = 30.0,
run_quietly = False,
save_file = '',
parent = None):
self.data_type = data_type
self.data_file = VOAOutFile(data_file, \
time_zone=time_zone, \
data_type=self.data_type)
self.image_defs = self.IMG_TYPE_DICT[self.data_type]
#color_map = eval('P.cm.' + color_map)
num_grp = self.data_file.get_number_of_groups()
if num_grp < 2:
md = Gtk.MessageDialog(parent, \
Gtk.DialogFlags.MODAL,\
Gtk.MessageType.ERROR, \
Gtk.ButtonsType.CANCEL, \
"There must be 2 groups or more")
md.run()
md.destroy()
return
plot_groups = range(0, num_grp)
self.subplots = []
number_of_subplots = len(plot_groups)
matplotlib.rcParams['axes.edgecolor'] = 'gray'
matplotlib.rcParams['axes.facecolor'] = 'white'
matplotlib.rcParams['axes.grid'] = True
matplotlib.rcParams['figure.facecolor'] = 'white'
matplotlib.rcParams['legend.fancybox'] = True
matplotlib.rcParams['legend.shadow'] = True
matplotlib.rcParams['figure.subplot.hspace'] = 0.45
matplotlib.rcParams['figure.subplot.wspace'] = 0.35
matplotlib.rcParams['figure.subplot.right'] = 0.85
colorbar_fontsize = 12
self.main_title_fontsize = 24
matplotlib.rcParams['legend.fontsize'] = 12
matplotlib.rcParams['axes.labelsize'] = 12
matplotlib.rcParams['axes.titlesize'] = 10
matplotlib.rcParams['xtick.labelsize'] = 10
matplotlib.rcParams['ytick.labelsize'] = 10
self.x_axes_ticks = np.arange(0, 25, 2)
self.fig = Figure()
ax = Axes3D(self.fig)
X = np.arange(0, 25)
Y = np.arange(0, len(plot_groups))
X, Y = np.meshgrid(X, Y)
data_buffer = [] # hold the Z data sets
for chan_grp in plot_groups:
(group_name, group_info, fot, muf, hpf, image_buffer) = \
self.data_file.get_group_data(chan_grp)
# Copy the element at [0] to the tail of the array
#to 'wrap-around' the values at 24hrs.
np.resize(muf, len(muf)+1)
muf[-1] = muf[0]
data_buffer.append(muf)
Z = np.vstack((tuple(data_buffer)))
# set up the titles and labels
ax.set_xticks(np.arange(0, 25, 2))
if (plot_max_freq==self.AUTOSCALE) :
z_max = math.ceil(max(muf) / 5.0) * 5.0
z_max = min(plot_max_freq, 30.0)
z_max = max(plot_max_freq, 5.0)
else :
z_max = math.ceil(plot_max_freq / 5.0) * 5.0
z_ticks = [2, 5]
for z_tick_value in np.arange(10, z_max+1, 5):
z_ticks.append(z_tick_value)
#ax.set_yticks(z_ticks)
#label axes
tz_sign = '+' if (time_zone >= 0) else ''
self.x_label = ax.set_xlabel('Time (UTC%s%s)' % (tz_sign, time_zone))
self.y_label = ax.set_ylabel('Group')
self.z_label = ax.set_zlabel('Frequency (MHz)')
#do the plot
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=color_map)
canvas = FigureCanvasGTK3Agg(self.fig)
canvas.show()
Axes3D.mouse_init(ax)
VOAPlotWindow('pythonProp - ' + self.image_defs['title'], \
canvas, \
parent)
return
def __init__(self, data_source_filename, parent=None, exit_on_close=True, datadir=""):
self.datadir = datadir
self.in_filename = data_source_filename
# todo check the file exists
in_file = VOAOutFile(self.in_filename)
self.exit_on_close = exit_on_close
# self.uifile = os.path.join(os.path.realpath(os.path.dirname(sys.argv[0])), "voaP2PPlotgui.ui")
self.parent = parent
if self.parent:
self.ui_file = os.path.join(self.datadir, "ui", "voaP2PPlotDialog.ui")
else:
self.ui_file = os.path.join(self.datadir, "ui", "voaP2PPlotWindow.ui")
# self.wTree = Gtk.Builder.new_from_file(self.ui_file)
self.wTree = Gtk.Builder()
self.wTree.add_from_file(self.ui_file)
self.get_objects("dialog", "type_combobox", "group_combobox", "tz_spinbutton", "cmap_combobox")
if self.parent:
self.dialog.set_transient_for(self.parent)
self.dialog.set_title(_("Plot Control"))
if in_file.get_number_of_groups() >= 2:
self.plot_type_d[5] = _("3D: MUF")
self.populate_combo(self.type_combobox, self.plot_type_d, "value")
model = self.type_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == "2": # reliability
self.type_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
self.populate_combo(self.cmap_combobox, self.cmap_d, "value")
model = self.cmap_combobox.get_model()
iter = model.get_iter_first()
while iter:
if model.get_value(iter, 0) == "jet":
self.cmap_combobox.set_active_iter(iter)
break
iter = model.iter_next(iter)
d = {0: _("All Plots")}
l = in_file.get_group_titles()
d.update(zip(range(1, len(l) + 1), l))
self.populate_combo(self.group_combobox, d, "key")
event_dic = {
"on_dialog_destroy": self.quit_application,
"on_cancel_button_clicked": self.quit_application,
"on_ok_button_clicked": self.run_plot,
}
self.wTree.connect_signals(event_dic)
self.dialog.connect("delete_event", self.quit_application)
if self.parent:
self.dialog.run()
else:
self.dialog.show_all()
Gtk.main()
def __init__(self,
data_file,
data_type=2,
color_map='jet',
plot_label="",
time_zone=0,
plot_max_freq=30.0,
run_quietly=False,
save_file='',
parent=None,
interactive=True):
self.data_type = data_type
self.data_file = VOAOutFile(data_file, \
time_zone=time_zone, \
data_type=self.data_type)
self.image_defs = self.IMG_TYPE_DICT[self.data_type]
color_map = eval('P.cm.' + color_map)
num_grp = self.data_file.get_number_of_groups()
if num_grp < 2:
md = gtk.MessageDialog(parent, \
gtk.DIALOG_MODAL,\
gtk.MESSAGE_ERROR, \
gtk.BUTTONS_CANCEL, \
"There must be 2 groups or more")
md.run()
md.destroy()
return
plot_groups = range(0, num_grp)
self.subplots = []
number_of_subplots = len(plot_groups)
matplotlib.rcParams['axes.edgecolor'] = 'gray'
matplotlib.rcParams['axes.facecolor'] = 'white'
matplotlib.rcParams['axes.grid'] = True
matplotlib.rcParams['figure.facecolor'] = 'white'
matplotlib.rcParams['legend.fancybox'] = True
matplotlib.rcParams['legend.shadow'] = True
matplotlib.rcParams['figure.subplot.hspace'] = 0.45
matplotlib.rcParams['figure.subplot.wspace'] = 0.35
matplotlib.rcParams['figure.subplot.right'] = 0.85
colorbar_fontsize = 12
self.main_title_fontsize = 24
matplotlib.rcParams['legend.fontsize'] = 12
matplotlib.rcParams['axes.labelsize'] = 12
matplotlib.rcParams['axes.titlesize'] = 10
matplotlib.rcParams['xtick.labelsize'] = 10
matplotlib.rcParams['ytick.labelsize'] = 10
self.x_axes_ticks = P.arange(0, 25, 2)
self.fig = plt.figure()
ax = Axes3D(self.fig)
X = P.arange(0, 25)
Y = P.arange(0, len(plot_groups))
X, Y = np.meshgrid(X, Y)
data_buffer = [] # hold the Z data sets
for chan_grp in plot_groups:
(group_name, group_info, fot, muf, hpf, image_buffer) = \
self.data_file.get_group_data(chan_grp)
# Copy the element at [0] to the tail of the array
#to 'wrap-around' the values at 24hrs.
np.resize(muf, len(muf) + 1)
muf[-1] = muf[0]
data_buffer.append(muf)
Z = np.vstack((tuple(data_buffer)))
# set up the titles and labels
ax.set_xticks(P.arange(0, 25, 2))
if (plot_max_freq == self.AUTOSCALE):
z_max = math.ceil(max(muf) / 5.0) * 5.0
z_max = min(plot_max_freq, 30.0)
z_max = max(plot_max_freq, 5.0)
else:
z_max = math.ceil(plot_max_freq / 5.0) * 5.0
z_ticks = [2, 5]
for z_tick_value in P.arange(10, z_max + 1, 5):
z_ticks.append(z_tick_value)
#ax.set_yticks(z_ticks)
#label axes
tz_sign = '+' if (time_zone >= 0) else ''
self.x_label = ax.set_xlabel('Time (UTC%s%s)' % (tz_sign, time_zone))
self.y_label = ax.set_ylabel('Group')
self.z_label = ax.set_zlabel('Frequency (MHz)')
#do the plot
ax.plot_surface(X,
Y,
Z,
rstride=1,
cstride=1,
cmap=plt.get_cmap('jet'))
if interactive:
plt.show()
else:
canvas = FigureCanvasGTKAgg(self.fig)
canvas.show()
VOAPlotWindow('pythonProp - ' + self.image_defs['title'], \
canvas, \
parent)
return
class VOA3DPlot:
"""Program to plot .out files produced by voacap in 3D"""
AUTOSCALE = -1.0
IMG_TYPE_DICT = { 0:{'title':'', \
'min':0, \
'max':1, \
'y_labels':(0), \
'formatter':'defaultFormat'}, \
1:{'title':'MUF Days (%)', \
'min':0, \
'max':1, \
'y_labels':(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),\
'formatter':'percent_format'}, \
2:{'title':'Circuit Reliability (%)', \
'min':0, \
'max':1, \
'y_labels':(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),\
'formatter':'percent_format'}, \
3:{'title':'SNR at Receiver (dB)', \
'min':20, \
'max':70, \
'y_labels':(20, 30, 40, 50, 60, 70), \
'formatter':'SNR_format'}, \
4:{'title':'Signal Strength at Receiver (dBW)', \
'min':-151, \
'max':-43, \
'y_labels':(-151, -145, -139, -133, -127, -121,-115, -109, \
-103, -93, -83, -73, -63, -53, -43), \
'formatter':'SDBW_format'} }
mono_font = {'family': 'monospace'}
#default_font = {'family' : 'sans-serif'}
def __init__(self,
data_file,
data_type=2,
color_map='jet',
plot_label="",
time_zone=0,
plot_max_freq=30.0,
run_quietly=False,
save_file='',
parent=None,
interactive=True):
self.data_type = data_type
self.data_file = VOAOutFile(data_file, \
time_zone=time_zone, \
data_type=self.data_type)
self.image_defs = self.IMG_TYPE_DICT[self.data_type]
color_map = eval('P.cm.' + color_map)
num_grp = self.data_file.get_number_of_groups()
if num_grp < 2:
md = gtk.MessageDialog(parent, \
gtk.DIALOG_MODAL,\
gtk.MESSAGE_ERROR, \
gtk.BUTTONS_CANCEL, \
"There must be 2 groups or more")
md.run()
md.destroy()
return
plot_groups = range(0, num_grp)
self.subplots = []
number_of_subplots = len(plot_groups)
matplotlib.rcParams['axes.edgecolor'] = 'gray'
matplotlib.rcParams['axes.facecolor'] = 'white'
matplotlib.rcParams['axes.grid'] = True
matplotlib.rcParams['figure.facecolor'] = 'white'
matplotlib.rcParams['legend.fancybox'] = True
matplotlib.rcParams['legend.shadow'] = True
matplotlib.rcParams['figure.subplot.hspace'] = 0.45
matplotlib.rcParams['figure.subplot.wspace'] = 0.35
matplotlib.rcParams['figure.subplot.right'] = 0.85
colorbar_fontsize = 12
self.main_title_fontsize = 24
matplotlib.rcParams['legend.fontsize'] = 12
matplotlib.rcParams['axes.labelsize'] = 12
matplotlib.rcParams['axes.titlesize'] = 10
matplotlib.rcParams['xtick.labelsize'] = 10
matplotlib.rcParams['ytick.labelsize'] = 10
self.x_axes_ticks = P.arange(0, 25, 2)
self.fig = plt.figure()
ax = Axes3D(self.fig)
X = P.arange(0, 25)
Y = P.arange(0, len(plot_groups))
X, Y = np.meshgrid(X, Y)
data_buffer = [] # hold the Z data sets
for chan_grp in plot_groups:
(group_name, group_info, fot, muf, hpf, image_buffer) = \
self.data_file.get_group_data(chan_grp)
# Copy the element at [0] to the tail of the array
#to 'wrap-around' the values at 24hrs.
np.resize(muf, len(muf) + 1)
muf[-1] = muf[0]
data_buffer.append(muf)
Z = np.vstack((tuple(data_buffer)))
# set up the titles and labels
ax.set_xticks(P.arange(0, 25, 2))
if (plot_max_freq == self.AUTOSCALE):
z_max = math.ceil(max(muf) / 5.0) * 5.0
z_max = min(plot_max_freq, 30.0)
z_max = max(plot_max_freq, 5.0)
else:
z_max = math.ceil(plot_max_freq / 5.0) * 5.0
z_ticks = [2, 5]
for z_tick_value in P.arange(10, z_max + 1, 5):
z_ticks.append(z_tick_value)
#ax.set_yticks(z_ticks)
#label axes
tz_sign = '+' if (time_zone >= 0) else ''
self.x_label = ax.set_xlabel('Time (UTC%s%s)' % (tz_sign, time_zone))
self.y_label = ax.set_ylabel('Group')
self.z_label = ax.set_zlabel('Frequency (MHz)')
#do the plot
ax.plot_surface(X,
Y,
Z,
rstride=1,
cstride=1,
cmap=plt.get_cmap('jet'))
if interactive:
plt.show()
else:
canvas = FigureCanvasGTKAgg(self.fig)
canvas.show()
VOAPlotWindow('pythonProp - ' + self.image_defs['title'], \
canvas, \
parent)
return
