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laydi/system/plots.py

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import pygtk
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import gobject
import gtk
import matplotlib
import scipy
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
from matplotlib.backends.backend_gtkagg import NavigationToolbar2GTK as NavigationToolbar2
from matplotlib.axes import Subplot
from matplotlib.figure import Figure
from matplotlib.numerix import arange, sin, pi
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from matplotlib.widgets import RectangleSelector
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from matplotlib import cm
import networkx
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from system import logger
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class ObjectTable:
"""A 2D table of elements."""
def __init__(self, xsize=0, ysize=0, creator=None):
self._elements = []
self._creator = creator or (lambda : None)
self.xsize = xsize
self.ysize = ysize
self.resize(xsize, ysize)
def resize(self, xsize, ysize):
"""Resizes the table by removing and creating elements as required."""
# Delete or append new rows
del self._elements[ysize:]
new_rows = ysize - len(self._elements)
self._elements.extend([list() for i in range(new_rows)])
# Delete or append new columns
for row in self._elements:
del row[xsize:]
new_elems = xsize - len(row)
row.extend([self._creator() for i in range(new_elems)])
def __getitem__(self, index):
x, y = index
return self._elements[y][x]
def __setitem__(self, index, value):
x, y = index
self._elements[y][x] = value
class ViewFrame (gtk.Frame):
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"""
A ViewFrame is a gtk bin that contains a view.
The ViewFrame is either active or inactive, and belongs to a group of
VeiwFrames of which only one can be active at any time.
"""
def __init__(self, view_frames):
gtk.Frame.__init__(self)
self.focused = False
self.view_frames = view_frames
self.empty_view = EmptyView()
self._button_event = None
view_frames.append(self)
if len(view_frames) == 1:
self.focus()
else:
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self.focused = True
self.unfocus()
# Get dropped views
self.drag_dest_set(gtk.DEST_DEFAULT_ALL,
[("GTK_TREE_MODEL_ROW", gtk.TARGET_SAME_APP, 7)],
gtk.gdk.ACTION_LINK)
self.connect("drag-data-received", self.on_drag_data_received)
# Set view
self._view = self.empty_view
self._view.connect("button-press-event", self.on_button_press_event)
self.add(self._view)
self._view.show()
self.show()
def focus(self):
"""Gets focus and ensures that no other window is in focus."""
if self.focused:
return self
for frame in self.view_frames:
frame.unfocus()
self.set_shadow_type(gtk.SHADOW_IN)
self.focused = True
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self.emit('focus-changed', self, True)
return self
def unfocus(self):
"""Removes focus from the ViewFrame. Does nothing if unfocused."""
if not self.focused:
return
self.set_shadow_type(gtk.SHADOW_OUT)
self.focused = False
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self.emit('focus-changed', self, False)
def set_view(self, view):
"""Set view to view or to empty view if parameter is None"""
# if None is passed, use empty view
if view == None:
view = self.empty_view
# do nothing if the view is already there
if view == self._view:
return
# detach view from current parent
view_parent = view.get_parent()
if view_parent:
view_parent.set_view(None)
# switch which widget we are listening to
if self._button_event:
self._view.disconnect(self._button_event)
self._button_event = view.connect("button-press-event", self.on_button_press_event)
# remove old view, set new view
self._view.hide()
self.remove(self._view)
self.add(view)
view.show()
self._view = view
def get_view(self):
"""Returns current view, or None if the empty view is set."""
if self._view == self.empty_view:
return None
return self._view
def on_button_press_event(self, widget, event):
if not self.focused:
self.focus()
def on_drag_data_received(self, widget, drag_context, x, y, selection, info, timestamp):
treestore, path = selection.tree_get_row_drag_data()
iter = treestore.get_iter(path)
obj = treestore.get_value(iter,2)
if isinstance(obj, Plot):
self.set_view(obj)
class MainView (gtk.Notebook):
def __init__(self):
gtk.Notebook.__init__(self)
self.set_show_tabs(False)
self.set_show_border(False)
self._view_frames = []
self._views = ObjectTable(2, 2, lambda : ViewFrame(self._view_frames))
self._small_views = gtk.Table(2, 2, True)
self._small_views.set_col_spacings(4)
self._small_views.set_row_spacings(4)
self._large_view = ViewFrame(list())
self.update_small_views()
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for vf in self._view_frames:
vf.connect('focus-changed', self.on_view_focus_changed)
self.append_page(self._small_views)
self.append_page(self._large_view)
self.show()
self.set_current_page(0)
def __getitem__(self, x, y):
return self._views[x, y]
def update_small_views(self):
for x in range(self._views.xsize):
for y in range(self._views.ysize):
child = self._views[x,y]
self._small_views.attach(child, x, x+1, y, y+1)
def get_active_small_view(self):
for vf in self._view_frames:
if vf.focused:
return vf
return None
def goto_large(self):
if self.get_current_page() == 1:
return
vf = self.get_active_small_view()
view = vf.get_view()
vf.set_view(None)
self._large_view.set_view(view)
self.set_current_page(1)
def goto_small(self):
if self.get_current_page() == 0:
return
vf = self.get_active_small_view()
view = self._large_view.get_view()
self._large_view.set_view(None)
vf.set_view(view)
self.set_current_page(0)
def insert_view(self, view):
if self.get_current_page() == 0:
vf = self.get_active_small_view()
else:
vf = self._large_view
vf.set_view(view)
def show(self):
for vf in self._view_frames:
vf.show()
self._small_views.show()
gtk.Notebook.show(self)
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def on_view_focus_changed(self, widget, vf, focused):
if focused:
self.emit('view-changed', vf)
class Plot (gtk.Frame):
def __init__(self, title):
gtk.Frame.__init__(self)
self.sel_obj = None
self.title = title
self.selection_listener = None
self.set_shadow_type(gtk.SHADOW_NONE)
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self._background = None
self.canvas = None
self.fig = Figure(figsize=(5,4), dpi=72)
self.canvas = FigureCanvas(self.fig)
self.fig.set_facecolor('white')
def get_title(self):
return self.title
def selection_changed(self, selection):
pass
def set_selection_listener(self, listener):
"""Allow project to listen to selections.
The selection will propagate back to all plots through the
selection_changed() method. The listener will be called as
listener(dimension_name, ids).
"""
self.selection_listener = listener
def get_toolbar(self):
return None
class EmptyView (Plot):
def __init__(self):
Plot.__init__(self, 'Empty view')
label = gtk.Label('No view')
ebox = gtk.EventBox()
ebox.add(label)
self.add(ebox)
label.show()
ebox.show()
self.show()
class NavToolbar(NavigationToolbar2):
toolitems = (('Select', 'Select within rectangle', 'zoom_to_rect.png',
'select'),) + NavigationToolbar2.toolitems
def __init__(self, *args):
NavigationToolbar2.__init__(self, *args)
self._select_callback = None
self.message.hide()
def select(self, *args):
"""Selection mode selected handler."""
if self._active == 'SELECT':
self._active = None
else:
self._active = 'SELECT'
if self._idPress is not None:
self._idPress = self.canvas.mpl_disconnect(self._idPress)
self.mode = ''
if self._idRelease is not None:
self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
self.mode = ''
if self._active:
self._idPress = self.canvas.mpl_connect('button_press_event', self.press_select)
self._idRelease = self.canvas.mpl_connect('button_release_event', self.release_select)
self.mode = 'Select rectangle mode'
self.set_message(self.mode)
def set_message(self, s):
"""Set status in toolbar to string s.
Overrided to make sure message can be updated even when
drawing rubberband.
"""
self.message.set_label(s)
def press_select(self, event):
"""Mouse button pressed handler for selection mode."""
x, y = event.x, event.y
for i, a in enumerate(self.canvas.figure.get_axes()):
if event.inaxes==a and event.inaxes.get_navigate():
xmin, xmax = a.get_xlim()
ymin, ymax = a.get_ylim()
lim = xmin, xmax, ymin, ymax
self._xypress = x, y, a, i, lim, a.transData.deepcopy()
break
self.press(event)
def release_select(self, event):
"""Mouse button released handler for selection mode."""
# only release if button was pressed inside first?
if self._xypress:
x, y = event.x, event.y
lastx, lasty, a, ind, lim, trans = self._xypress
lastx, lasty = a.transData.inverse_xy_tup( (lastx, lasty) )
x, y = a.transData.inverse_xy_tup( (x, y) )
if self._select_callback:
self._select_callback(lastx, lasty, x, y)
self._xypress = None
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self.push_current()
self.release(event)
def mouse_move(self, event):
"""Extend NavigationToolbar2.mouse_move to provide selection support."""
from matplotlib.backend_bases import cursors
# Only update the rubberband for selection mode when mouse is
# within the plotting area.
if event.inaxes and self._active=='SELECT':
if self._lastCursor != cursors.SELECT_REGION:
self.set_cursor(cursors.SELECT_REGION)
self._lastCursor = cursors.SELECT_REGION
if self._xypress is not None:
x, y = event.x, event.y
lastx, lasty, a, ind, lim, trans= self._xypress
self.draw_rubberband(event, x, y, lastx, lasty)
NavigationToolbar2.mouse_move(self, event)
def set_select_callback(self, listener):
"""Allow plots to register a callback for selection events.
The callback will be called as listener(x1, y1, x2, y2). All
coordinates are in the plot coordinate system, not pixels or
widget coordinates.
"""
self._select_callback = listener
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class SinePlot(Plot):
def __init__(self):
Plot.__init__(self, 'Sine plot')
fig = Figure(figsize=(5,4), dpi=72)
ax = fig.add_subplot(111)
t = arange(0.0,3.0,0.01)
s = sin(2*pi*t)
ax.plot(t,s)
self.canvas = FigureCanvas(fig)
self._toolbar = NavToolbar(self.canvas, None)
self._toolbar.set_property('show-arrow', False)
self.add(self.canvas)
self.canvas.show()
def get_toolbar(self):
return self._toolbar
class LineViewPlot(Plot):
"""Line view of current selection, no interaction
Only works on 2d-arrays
input:
-- major_axis : dim_number for line dim (see scipy.ndarray for axis def.)
-- minor_axis : needs definition only for higher order arrays
ps: slow (cant get linecollection and blit to work)
"""
def __init__(self, dataset,major_axis=1,minor_axis=None, name="Line view"):
self._data = dataset.asarray()
self.dataset = dataset
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Plot.__init__(self, name)
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self.ax = self.fig.add_subplot(111)
self.ax.set_title(self.get_title())
self.current_dim = self.dataset.get_dim_name(major_axis)
if len(self._data.shape)==2 and not minor_axis:
minor_axis = major_axis-1
#initial draw
self.line_collection = {}
x_axis = scipy.arrayrange(self._data.shape[minor_axis])
for i in range(self._data.shape[major_axis]):
yi = scipy.take(self._data,[i],axis=major_axis)
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l, = self.ax.plot(x_axis,yi,'k',alpha=.05,animated=True)
self.line_collection[i] = l
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self.add(self.canvas)
self.canvas.show()
# We use a regular toolbar as we don't need selections
self._toolbar = NavigationToolbar2(self.canvas, None)
self._toolbar.set_property('show-arrow', False)
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self.canvas.mpl_connect('resize_event',self.clear_background)
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def get_toolbar(self):
return self._toolbar
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def clear_background(self,event):
self._background = None
def selection_changed(self, selection):
ids = selection[self.current_dim] # current identifiers
index = self.dataset.get_indices(self.current_dim, ids)
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if self._background is None:
print "background needs copy"
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
print self.ax.bbox.get_bounds()
self.canvas.restore_region(self._background)
if index:
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for i in index:
self.line_collection[i].set_visible(True)
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self.line_collection[i].set_color('r')
self.line_collection[i].set_alpha(1.0)
self.ax.draw_artist(self.line_collection[i])
self.canvas.blit()
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class ScatterMarkerPlot(Plot):
"""The ScatterMarkerPlot is faster than regular scatterplot, but
has no color and size options."""
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2, name="Scatter plot"):
Plot.__init__(self, name)
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self.ax = ax = self.fig.add_subplot(111)
self.current_dim = id_dim
self.dataset_1 = dataset_1
x_index = dataset_1[sel_dim][id_1]
y_index = dataset_2[sel_dim][id_2]
self.xaxis_data = dataset_1._array[:,x_index]
self.yaxis_data = dataset_2._array[:,y_index]
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ax.plot(self.xaxis_data,self.yaxis_data,'o',markeredgewidth=0)
ax.set_title(self.get_title())
ax.set_xlabel("%s - %s" % (sel_dim, id_1))
ax.set_ylabel("%s - %s" % (sel_dim, id_2))
###
self.add(self.canvas)
self.canvas.show()
self._toolbar = NavToolbar(self.canvas, None)
self._toolbar.set_property('show-arrow', False)
self._toolbar.set_select_callback(self.rectangle_select_callback)
def get_toolbar(self):
return self._toolbar
def rectangle_select_callback(self, x1, y1, x2, y2):
ydata = self.yaxis_data
xdata = self.xaxis_data
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# find indices of selected area
if x1>x2:
x1, x2 = x2, x1
if y1>y2:
y1, y2 = y2, y1
assert x1<=x2
assert y1<=y2
index = scipy.nonzero((xdata>x1) & (xdata<x2) & (ydata>y1) & (ydata<y2))
ids = self.dataset_1.get_identifiers(self.current_dim, index)
self.selection_listener(self.current_dim, ids)
def selection_changed(self, selection):
ids = selection[self.current_dim] # current identifiers
index = self.dataset_1.get_indices(self.current_dim, ids)
xdata_new = scipy.take(self.xaxis_data, index) #take data
ydata_new = scipy.take(self.yaxis_data, index)
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#remove old selection
if len(self.ax.lines)>1:
del self.ax.lines[-1]
self.ax.plot(xdata_new,ydata_new,'ok')
self._toolbar.forward() #update data lims before draw
self.canvas.draw()
class ScatterPlot(Plot):
"""The ScatterMarkerPlot is faster than regular scatterplot, but
has no color and size options."""
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2,c='b',s=30, name="Scatter plot"):
Plot.__init__(self, name)
self.ax = ax = self.fig.add_subplot(111)
self.current_dim = id_dim
self.dataset_1 = dataset_1
x_index = dataset_1[sel_dim][id_1]
y_index = dataset_2[sel_dim][id_2]
self.xaxis_data = dataset_1._array[:,x_index]
self.yaxis_data = dataset_2._array[:,y_index]
ax.scatter(self.xaxis_data,self.yaxis_data,s=s,c=c,faceted=False,edgecolor='k')
ax.set_title(self.get_title())
ax.set_xlabel("%s - %s" % (sel_dim, id_1))
ax.set_ylabel("%s - %s" % (sel_dim, id_2))
# collection
self.coll = ax.collections[0]
###
self.add(self.canvas)
self.canvas.show()
self._toolbar = NavToolbar(self.canvas, None)
self._toolbar.set_property('show-arrow', False)
self._toolbar.set_select_callback(self.rectangle_select_callback)
def get_toolbar(self):
return self._toolbar
def rectangle_select_callback(self, x1, y1, x2, y2):
ydata = self.yaxis_data
xdata = self.xaxis_data
# find indices of selected area
if x1>x2:
x1, x2 = x2, x1
if y1>y2:
y1, y2 = y2, y1
assert x1<=x2
assert y1<=y2
index = scipy.nonzero((xdata>x1) & (xdata<x2) & (ydata>y1) & (ydata<y2))
ids = self.dataset_1.get_identifiers(self.current_dim, index)
self.selection_listener(self.current_dim, ids)
def selection_changed(self, selection):
ids = selection[self.current_dim] # current identifiers
index = self.dataset_1.get_indices(self.current_dim, ids)
lw = scipy.zeros(self.xaxis_data.shape,'f')
scipy.put(lw,index,2.)
self.coll.set_linewidth(lw)
self._toolbar.forward() #update data lims before draw
self.canvas.draw()
class NetworkPlot(Plot):
def __init__(self, dataset, **kw):
# Set member variables and call superclass' constructor
self.graph = dataset.asnetworkx()
self.dataset = dataset
self.keywords = kw
self.dim_name = self.dataset.get_dim_name(0)
if not kw.has_key('name'):
kw['name'] = self.dataset.get_name()
if not kw.has_key('prog'):
kw['prog'] = 'neato'
if not kw.has_key('pos') or kw['pos']:
kw['pos'] = networkx.drawing.nx_pydot.graphviz_layout(self.graph, kw['prog'])
Plot.__init__(self, kw['name'])
# Keep node size and color as dicts for fast lookup
self.node_size = {}
if kw.has_key('node_size') and cb.iterable(kw['node_size']):
kw.remove('node_size')
for id, size in zip(self.dataset[self.dim_name], kw['node_size']):
self.node_size[id] = size
else:
for id in dataset[self.dim_name]:
self.node_size[id] = 40
self.node_color = {}
if kw.has_key('node_color') and cb.iterable(kw['node_color']):
kw.remove('node_color')
for id, color in zip(self.dataset[self.dim_name], kw['node_color']):
self.node_color[id] = color
else:
self.node_color = None
# for id in self.dataset[self.dim_name]:
# self.node_color[id] = 'red'
if kw.has_key('node_color'):
kw.pop('node_color')
self.ax = self.fig.add_subplot(111)
# FIXME: ax shouldn't be in kw at all
if kw.has_key('ax'):
kw.pop('ax')
# Add canvas and show
self.add(self.canvas)
self.canvas.show()
# Initial draw
networkx.draw_networkx(self.graph, ax=self.ax, **kw)
# Setup toolbar
self._toolbar = NavToolbar(self.canvas, None)
self._toolbar.set_property('show-arrow', False)
self._toolbar.set_select_callback(self.rectangle_select_callback)
def get_toolbar(self):
return self._toolbar
def rectangle_select_callback(self, x1, y1, x2, y2):
'event1 and event2 are the press and release events'
pos = self.keywords['pos']
ydata = scipy.zeros((len(pos),),'l')
xdata = scipy.zeros((len(pos),),'l')
node_ids = []
c = 0
for name,(x,y) in pos.items():
node_ids.append(name)
xdata[c] = x
ydata[c] = y
c+=1
# find indices of selected area
if x1 > x2:
x1, x2 = x2, x1
if y1 > y2:
y1, y2 = y2, y1
index = scipy.nonzero((xdata>x1) & (xdata<x2) & (ydata>y1) & (ydata<y2))
ids = [node_ids[i] for i in index]
self.selection_listener(self.dataset.get_dim_name(0), ids)
def selection_changed(self, selection):
ids = selection[self.dataset.get_dim_name(0)] # current identifiers
node_set = set(self.graph.nodes())
selected_nodes = list(ids.intersection(node_set))
unselected_nodes = list(node_set.difference(ids))
if self.node_color:
unselected_colors = [self.node_color[x] for x in unselected_nodes]
else:
unselected_colors = 'red'
if self.node_size:
unselected_sizes = [self.node_size[x] for x in unselected_nodes]
selected_sizes = [self.node_size[x] for x in selected_nodes]
self.ax.clear()
networkx.draw_networkx_edges(self.graph, edge_list=self.graph.edges(), \
ax=self.ax, **self.keywords)
if unselected_nodes:
networkx.draw_networkx_nodes(self.graph, nodelist=unselected_nodes, \
node_color='r', node_size=unselected_sizes, ax=self.ax, **self.keywords)
if selected_nodes:
networkx.draw_networkx_nodes(self.graph, nodelist=selected_nodes, \
node_color='k', node_size=selected_sizes, ax=self.ax, **self.keywords)
self.canvas.draw()
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# Create a view-changed signal that should be emitted every time
# the active view changes.
gobject.signal_new('view-changed', MainView, gobject.SIGNAL_RUN_LAST,
gobject.TYPE_NONE,
(gobject.TYPE_PYOBJECT,))
# Create focus-changed signal
gobject.signal_new('focus-changed', ViewFrame, gobject.SIGNAL_RUN_LAST,
gobject.TYPE_NONE,
(gobject.TYPE_PYOBJECT, gobject.TYPE_BOOLEAN,))