Projects/laydi
Projects
/
laydi
Archived
7
0
Fork 0
This repository has been archived on 2024-07-04. You can view files and clone it, but cannot push or open issues or pull requests.
laydi/fluents/plots.py

1376 lines
47 KiB
Python

import os,sys
from itertools import izip
import pygtk
import gobject
import gtk
import fluents
import logger
import matplotlib
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
from matplotlib.backend_bases import NavigationToolbar2,cursors
from matplotlib.backends.backend_gtk import FileChooserDialog,cursord
from matplotlib.widgets import SubplotTool,RectangleSelector,Lasso
from matplotlib.nxutils import points_inside_poly
from matplotlib.axes import Subplot, AxesImage
from matplotlib.figure import Figure
from matplotlib import cm,cbook
from pylab import Polygon
from matplotlib.collections import LineCollection
from matplotlib.mlab import prctile
import networkx
import scipy
# global active mode. Used by toolbars to communicate correct mode
active_mode = 'default'
class ObjectTable:
"""A 2D table of elements.
An ObjectTable is a resizable two-dimensional array of objects.
When resized, it will keep all the elements that fit in the new shape,
and forget about other elements. When new elements are needed to fill
out the new shape, they will be created.
"""
def __init__(self, xsize=0, ysize=0, creator=None):
"""Creates a two-dimensional table of objects.
@param xsize: Width of the object table.
@param ysize: Height of the object table.
@param creator: A function that will be used to instantiate new items.
"""
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.
Makes the ObjectTable the specified size by removing elements that
will not fit in the new shape and appending elements to fill the
table. New elements will be created with the creator function passed
as an argument to __init__.
@param xsize: The new width.
@type xsize: int
@param ysize: The new height.
@type ysize: int
"""
# 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)])
self.xsize = xsize
self.ysize = ysize
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):
"""
A ViewFrame is a gtk container widget 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):
"""Initializes a new ViewFrame.
@param view_frames: A list of view frames to which the new view
frame shouls belong. Only one ViewFrame in this list can be
active at any time.
"""
gtk.Frame.__init__(self)
self.focused = False
self.view_frames = view_frames
self.empty_view = EmptyView()
self._button_event = None
## Set up a VBox with a label wrapped in an event box.
label = gtk.Label()
ebox = gtk.EventBox()
ebox.add(label)
vbox = gtk.VBox()
vbox.pack_start(ebox, expand=False)
vbox.pack_start(gtk.HSeparator(), expand=False)
self._ebox_button_event = ebox.connect("button-press-event",
self._on_button_press_event)
## Keep the references for later use.
self._vbox = vbox
self._ebox = ebox
self._view_title = label
self.add(vbox)
view_frames.append(self)
if len(view_frames) == 1:
self.focus()
else:
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._vbox.add(self._view)
self._view_title.set_text(self._view.title)
self.show_all()
self._view.show()
def focus(self):
"""Gets focus and ensures that no other ViewFrame in the same set
is in focus.
"""
if self.focused:
self.emit('focus-changed', self, True)
return self
for frame in self.view_frames:
frame.unfocus()
self.set_shadow_type(gtk.SHADOW_IN)
self._ebox.set_state(gtk.STATE_ACTIVE)
self.focused = True
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._ebox.set_state(gtk.STATE_NORMAL)
self.focused = False
self.emit('focus-changed', self, False)
def set_view(self, view):
"""Set view to view or to empty view if parameter is None
@param view: An instance of View
"""
# 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
if view._view_frame:
view._view_frame.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
if self._view:
self._view.hide()
self._vbox.remove(self._view)
self._view._view_frame = None
self._view_title.set_text(view.title)
self._vbox.add(view)
view.show()
view._view_frame = self
self._view = view
def get_view(self):
"""Returns current view, or None if the empty view is set.
@returns: None if the ViewFrame is currently displaying it's
EmptyView. Otherwise it returns the currently displeyd View.
"""
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)
self.focus()
elif isinstance(obj, fluents.dataset.Dataset):
view = self.get_view()
if view.is_mappable_with(obj):
view._update_color_from_dataset(obj)
# add selections below
class MainView (gtk.Notebook):
"""The MainView class displays the Views in Fluents.
MainView, of which there is normally only one instance, contains a
gtk.Table that holds all the visible Views, and a single ViewFrame
that is used for maximizing plots.
"""
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._large_view = ViewFrame(list())
self.update_small_views()
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):
"""Creates a new gtk.Table to show the views. Called after changes to
the _views property"""
self._small_views = gtk.Table(self._views.ysize, self._views.xsize, True)
self._small_views.set_col_spacings(4)
self._small_views.set_row_spacings(4)
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)
self._small_views.show_all()
def get_active_small_view(self):
"""Returns the active ViewFrame in the small views table.
If a view is maximized, the corresponding ViewFrame in the table
will be returned, not the active maximized ViewFrame"""
for vf in self._view_frames:
if vf.focused:
return vf
return None
def get_active_view_frame(self):
"""Returns the active view frame."""
if self.get_current_page() == 0:
return self.get_active_small_view()
else:
return self._large_view
def goto_large(self):
"""Maximize the view in the current ViewFrame.
Maximizes the View in the current ViewFrame. The ViewFrame itself is
not resized or modified, except it's view will be set to None.
This method will do nothing if a view is currently maximized.
"""
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):
"""Goes to the small views page.
The maximized View will be given to the active ViewFrame in the view
table.
"""
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):
"""Set a view in the currently active ViewFrame.
@param view: An instance of View.
"""
if self.get_current_page() == 0:
vf = self.get_active_small_view()
else:
vf = self._large_view
vf.set_view(view)
def set_all_plots(self, views):
"""Displays all the views in the list, and hides all other views.
Loops through all ViewFrames from top left to bottom right, and sets
their currently active View to the next view in the list. After the
last view is placed in a ViewFrame, the remaining ViewFrames are
emptied.
@param views: A list of views to set.
"""
for y in range(self._views.ysize):
for x in range(self._views.xsize):
if views:
self._views[x, y].set_view(views.pop())
else:
self._views[x, y].set_view(None)
def _on_view_focus_changed(self, widget, vf, focused):
if focused:
self.emit('view-changed', vf)
def resize_table(self, width, height):
"""Resizes the list of small views.
"""
## Hide all plots that will be removed from the screen.
for x in range(self._views.xsize):
for y in range(self._views.ysize):
if x >= width or y >= height:
self._views[x, y].set_view(None)
self._view_frames.remove(self._views[x, y])
for x in range(self._views.xsize):
for y in range(self._views.ysize):
self._small_views.remove(self._views[x, y])
self._views.resize(width, height)
self.update_small_views()
self.insert_page(self._small_views, gtk.Label("small"), 0)
self.remove_page(1)
#self.set_current_page(0)
self.goto_small()
class View (gtk.Frame):
"""The base class of everything that is shown in the center view of
fluents.
Most views should rather subclass Plot, which automatically handles
freezing, creates a toolbar, and sets up matplotlib Figure and Canvas
objects.
"""
def __init__(self, title):
gtk.Frame.__init__(self)
self.title = title
self.set_shadow_type(gtk.SHADOW_NONE)
self._view_frame = None
def get_toolbar(self):
return None
def is_mappable_with(self, dataset):
"""Override in individual plots."""
return False
class EmptyView (View):
"""EmptyView is shown in ViewFrames that are unused."""
def __init__(self):
View.__init__(self, 'Empty view')
self.set_label(None)
label = gtk.Label('No view')
ebox = gtk.EventBox()
ebox.add(label)
self.add(ebox)
label.show()
ebox.show()
self.show()
class Plot (View):
def __init__(self, title):
View.__init__(self, title)
self.selection_listener = None
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self._background = None
self._frozen = False
self._toolbar = PlotToolbar(self)
self.canvas.add_events(gtk.gdk.ENTER_NOTIFY_MASK)
self.current_dim = None
self._current_selection = None
def set_frozen(self, frozen):
"""A frozen plot will not be updated when the current selection is changed."""
self._frozen = frozen
if not frozen and self._current_selection != None:
self.set_current_selection(self._current_selection)
def get_title(self):
return self.title
def get_toolbar(self):
return self._toolbar
def selection_changed(self, dim_name, selection):
""" Selection observer handle.
A selection change in a plot is only drawn if:
1.) plot is sensitive to selections (not freezed)
2.) plot is visible (has a view)
3.) the selections dim_name is the plot's dimension.
"""
self._current_selection = selection
if self._frozen \
or not self.get_property('visible') \
or self.current_dim != dim_name:
return
self.set_current_selection(selection)
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 update_selection(self, ids, key=None):
"""Returns updated current selection from ids.
If a key is pressed we use the appropriate mode.
key map:
shift : union
control : intersection
"""
if key == 'shift':
ids = set(ids).union(self._current_selection[self.current_dim])
elif key == 'control':
ids = set(ids).intersection(self._current_selection[self.current_dim])
else:
pass
return ids
class LineViewPlot(Plot):
"""Line view plot with percentiles.
A line view of vectors across a specified dimension of input dataset.
No selection interaction is defined.
Only support for 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
fixme: slow (cant get linecollection and blit to work)
"""
def __init__(self, dataset, major_axis=1, minor_axis=None, name="Line view"):
self.dataset = dataset
self._data = dataset.asarray()
if len(self._data.shape)==2 and not minor_axis:
minor_axis = major_axis-1
self.major_axis = major_axis
self.minor_axis = minor_axis
Plot.__init__(self, name)
self.use_blit = False #fixme: blitting does work
self.current_dim = self.dataset.get_dim_name(major_axis)
# make axes
self.ax = self.fig.add_subplot(111)
#initial draw
x_axis = scipy.arange(self._data.shape[minor_axis])
self.line_segs=[]
for xi in range(self._data.shape[major_axis]):
yi = self._data.take([xi], major_axis).ravel()
self.line_segs.append([(xx,yy) for xx,yy in izip(x_axis, yi)])
# draw background
self._set_background(self.ax)
# add canvas
self.add(self.canvas)
self.canvas.show()
# add toolbar
#FIXME: Lineview plot cannot do selections -> disable in toolbar
#self._toolbar = PlotToolbar(self)
self.canvas.mpl_connect('resize_event', self.clear_background)
def _set_background(self,ax):
"""Add three patches representing [min max],[5,95] and [25,75] percentiles, and a line at the median.
"""
# settings
patch_color = 'b' #blue
patch_lw = 0 #no edges
patch_alpha = .15 # transparancy
median_color = 'b' #blue
median_width = 1.5 #linewidth
percentiles = [0, 5, 25, 50, 75, 100]
# ordinate
xax = scipy.arange(self._data.shape[self.minor_axis])
#vertices
verts_0 = [] #100,0
verts_1 = [] # 90,10
verts_2 = [] # 75,25
med = []
# add top vertices the low vertices (do i need an order?)#background
for i in xax:
prct = prctile(self._data.take([i], self.minor_axis), percentiles)
verts_0.append((i, prct[0]))
verts_1.append((i, prct[1]))
verts_2.append((i, prct[2]))
med.append(prct[3])
for i in xax[::-1]:
prct = prctile(self._data.take([i], self.minor_axis), percentiles)
verts_0.append((i, prct[-1]))
verts_1.append((i, prct[-2]))
verts_2.append((i, prct[-3]))
# make polygons from vertices
bck0 = Polygon(verts_0, alpha=patch_alpha, lw=patch_lw,
facecolor=patch_color)
bck1 = Polygon(verts_1, alpha=patch_alpha, lw=patch_lw,
facecolor=patch_color)
bck2 = Polygon(verts_2, alpha=patch_alpha, lw=patch_lw,
facecolor=patch_color)
# add polygons to axes
ax.add_patch(bck0)
ax.add_patch(bck1)
ax.add_patch(bck2)
# median line
ax.plot(xax, med, median_color, linewidth=median_width)
def clear_background(self, event):
"""Callback on resize event. Clears the background.
"""
self._background = None
def set_current_selection(self, selection):
"""Draws the current selection.
"""
ids = selection[self.current_dim] # current identifiers
index = self.dataset.get_indices(self.current_dim, ids)
if len(index)==0: # do we have a selection
return
if self.use_blit:
if self._background is None:
self._bbox = self.ax.bbox.deepcopy()
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
self.canvas.restore_region(self._background)
if len(self.ax.collections)>0: # remove old linecollection
self.ax.collections = []
segs = [self.line_segs[i] for i in index]
line_coll = LineCollection(segs, colors=(1,0,0,1))
line_coll.set_clip_box(self.ax.bbox)
self.ax.update_datalim(line_coll.get_verts(self.ax.transData))
#draw
if self.use_blit:
self.ax.draw_artist(line_coll)
self.canvas.blit()
else:
self.ax.add_collection(line_coll)
self.canvas.draw()
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, s=6, name="Scatter plot"):
Plot.__init__(self, name)
self.use_blit = False
self._background = None
self.ax = self.fig.add_subplot(111)
self.ax.axhline(0, color='k', lw=1., zorder=1)
self.ax.axvline(0, color='k', lw=1., zorder=1)
self.current_dim = id_dim
self.dataset_1 = dataset_1
self.ms = s
self._selection_line = None
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]
self.ax.plot(self.xaxis_data, self.yaxis_data, 'o', markeredgewidth=0, markersize=s)
#self.ax.set_title(self.get_title())
self.add(self.canvas)
self.canvas.show()
def rectangle_select_callback(self, x1, y1, x2, y2, key):
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))[0]
ids = self.dataset_1.get_identifiers(self.current_dim, index)
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
def lasso_select_callback(self, verts, key=None):
self.canvas.draw_idle()
xys = scipy.c_[self.xaxis_data[:,scipy.newaxis], self.yaxis_data[:,scipy.newaxis]]
index = scipy.nonzero(points_inside_poly(xys, verts))[0]
ids = self.dataset_1.get_identifiers(self.current_dim, index)
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
self.canvas.widgetlock.release(self._lasso)
def set_current_selection(self, selection):
ids = selection[self.current_dim] # current identifiers
index = self.dataset_1.get_indices(self.current_dim, ids)
if self.use_blit:
if self._background is None:
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
self.canvas.restore_region(self._background)
if not len(index)>0:
return
xdata_new = self.xaxis_data.take(index) #take data
ydata_new = self.yaxis_data.take(index)
#remove old selection
if self._selection_line:
self.ax.lines.remove(self._selection_line)
self._selection_line, = self.ax.plot(xdata_new, ydata_new,marker='o', markersize=self.ms, linestyle=None, markerfacecolor='r')
# self._toolbar.forward() #update data lims before draw
if self.use_blit:
self.ax.draw_artist(self._selection_line)
self.canvas.blit()
else:
self.canvas.draw()
class ScatterPlot(Plot):
"""The ScatterPlot is slower than scattermarker, but has size option."""
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim, id_1, id_2,c='b',s=30,sel_dim_2=None, name="Scatter plot"):
Plot.__init__(self, name)
self.use_blit = False
self.ax = self.fig.add_subplot(111)
self.current_dim = id_dim
self.dataset_1 = dataset_1
x_index = dataset_1[sel_dim][id_1]
if sel_dim_2:
y_index = dataset_2[sel_dim_2][id_2]
else:
y_index = dataset_2[sel_dim][id_2]
self.xaxis_data = dataset_1._array[:, x_index]
self.yaxis_data = dataset_2._array[:, y_index]
lw = scipy.zeros(self.xaxis_data.shape)
self.sc = sc = self.ax.scatter(self.xaxis_data, self.yaxis_data,
s=s, c=c, linewidth=lw,
edgecolor='k', alpha=.8,
cmap=cm.jet)
if len(c)>1:
self.fig.colorbar(sc, fraction=.05)
self.ax.axhline(0, color='k', lw=1., zorder=1)
self.ax.axvline(0, color='k', lw=1., zorder=1)
# collection
self.coll = self.ax.collections[0]
# add canvas to widget
self.add(self.canvas)
self.canvas.show()
def is_mappable_with(self, dataset):
"""Returns True if dataset is mappable with this plot.
"""
if self.current_dim in dataset.get_dim_name() and dataset.asarray().shape[0] == self.xaxis_data.shape[0]:
return True
def _update_color_from_dataset(self, data):
"""Updates the facecolors from a dataset.
"""
array = data.asarray()
#only support for 2d-arrays:
try:
m, n = array.shape
except:
raise ValueError, "No support for more tha 2 dimensions."
# is dataset a vector or matrix?
if not n==1:
# we have a category dataset
if isinstance(data, fluents.dataset.CategoryDataset):
map_vec = scipy.dot(array, scipy.diag(scipy.arange(n))).sum(1)
else:
map_vec = array.sum(1)
else:
map_vec = array.ravel()
# normalise mapping vector
map_vec = map_vec - map_vec.min()
map_vec = map_vec/map_vec.max()
# update facecolors
self.sc._facecolors = self.sc.to_rgba(map_vec, self.sc._alpha)
# draw
self.sc._A = None # mean hack
self.ax.draw_artist(self.sc)
self.canvas.draw()
def rectangle_select_callback(self, x1, y1, x2, y2, key):
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))[0]
ids = self.dataset_1.get_identifiers(self.current_dim, index)
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
def lasso_select_callback(self, verts, key=None):
self.canvas.draw_idle()
xys = scipy.c_[self.xaxis_data[:,scipy.newaxis], self.yaxis_data[:,scipy.newaxis]]
index = scipy.nonzero(points_inside_poly(xys, verts))[0]
ids = self.dataset_1.get_identifiers(self.current_dim, index)
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
self.canvas.widgetlock.release(self._lasso)
def set_current_selection(self, selection):
ids = selection[self.current_dim] # current identifiers
if len(ids)==0:
return
#self._toolbar.forward() #update data lims before draw
index = self.dataset_1.get_indices(self.current_dim, ids)
if self.use_blit:
if self._background is None:
self._background = self.canvas.copy_from_bbox(self.ax.bbox)
self.canvas.restore_region(self._background)
lw = scipy.zeros(self.xaxis_data.shape, 'f')
if len(index)>0:
lw.put(2., index)
self.coll.set_linewidth(lw)
if self.use_blit:
self.canvas.blit()
self.ax.draw_artist(self.coll)
else:
self.canvas.draw()
class ImagePlot(Plot):
def __init__(self, dataset, **kw):
self.dataset = dataset
self.keywords = kw
Plot.__init__(self, kw['name'])
self.ax = self.fig.add_subplot(111)
self.ax.set_xticks([])
self.ax.set_yticks([])
self.ax.grid(False)
# FIXME: ax shouldn't be in kw at all
if kw.has_key('ax'):
kw.pop('ax')
# Initial draw
# xim = AxesImage(dataset.asarray(), self.ax)
self.ax.imshow(dataset.asarray(), interpolation='nearest', aspect='auto')
# Add canvas and show
self.add(self.canvas)
self.canvas.show()
def get_toolbar(self):
return self._toolbar
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('with_labels'):
kw['with_labels'] = False
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.graphviz_layout(self.graph, kw['prog'])
if not kw.has_key('nodelist'):
kw['nodelist'] = self.dataset.get_identifiers(self.dim_name, sorted=True)
Plot.__init__(self, kw['name'])
self.current_dim = self.dim_name
# Keep node size and color as dicts for fast lookup
self.node_size = {}
if kw.has_key('node_size') and cbook.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] = 30
self.node_color = {}
if kw.has_key('node_color') and cbook.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)
self.ax.set_xticks([])
self.ax.set_yticks([])
self.ax.grid(False)
# 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)
del kw['nodelist']
def get_toolbar(self):
return self._toolbar
def rectangle_select_callback(self, x1, y1, x2, y2, key):
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))[0]
ids = [node_ids[i] for i in index]
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
def lasso_select_callback(self, verts, key=None):
pos = self.keywords['pos']
xys = []
node_ids = []
c = 0
for name,(x,y) in pos.items():
node_ids.append(name)
xys.append((x,y))
c+=1
self.canvas.draw_idle()
index = scipy.nonzero(points_inside_poly(xys, verts))[0]
ids = [node_ids[i] for i in index]
ids = self.update_selection(ids, key)
self.selection_listener(self.current_dim, ids)
self.canvas.widgetlock.release(self._lasso)
def set_current_selection(self, selection):
ids = selection[self.current_dim] # 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 = 'gray'
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.collections=[]
networkx.draw_networkx_edges(self.graph,
edge_list=self.graph.edges(),
ax=self.ax,
**self.keywords)
networkx.draw_networkx_labels(self.graph,**self.keywords)
if unselected_nodes:
networkx.draw_networkx_nodes(self.graph, nodelist=unselected_nodes, \
node_color='gray', node_size=unselected_sizes, ax=self.ax, **self.keywords)
if selected_nodes:
networkx.draw_networkx_nodes(self.graph, nodelist=selected_nodes, \
node_color='r', node_size=selected_sizes, ax=self.ax, **self.keywords)
self.ax.collections[-1].set_zorder(3)
self.canvas.draw()
class PlotMode:
"""A PlotMode object corresponds to a mouse mode in a plot.
When a mode is selected in the toolbar, the PlotMode corresponding
to the toolbar button is activated by calling setup(ax) for the axis
system ax.
"""
def __init__(self, plot, name, tooltip, image_file):
self.name = name
self.tooltip = tooltip
self.image_file = image_file
self.plot = plot
self.canvas = plot.canvas
def get_icon(self):
"""Returns the icon for the PlotMode"""
image = gtk.Image()
image.set_from_pixbuf(fluents.icon_factory.get(self.image_file))
return image
def activate(self):
"""Subclasses of PlotMode should do their initialization here.
The activate method is called when a mode is activated, and is
used primarily to set up callback functions on events in the
canvas.
"""
pass
def deactivate(self):
"""Subclasses of PlotMode should do their cleanup here.
The deactivate method is primarily by subclasses of PlotMode to
remove any callbacks they might have on the matplotlib canvas.
"""
pass
def _mpl_disconnect_all(self):
"""Disconnects all matplotlib callbacks defined on the canvas.
This is a hack because the RectangleSelector in matplotlib does
not store its callbacks, so we need a workaround to remove them.
"""
callbacks = self.plot.canvas.callbacks
for callbackd in callbacks.values():
for c in callbackd.keys():
del callbackd[c]
class DefaultPlotMode (PlotMode):
def __init__(self, plot):
PlotMode.__init__(self, plot, 'default', 'Default mode', 'cursor')
class PanPlotMode (PlotMode):
def __init__(self, plot):
PlotMode.__init__(self, plot, 'pan',
'Pan axes with left mouse, zoom with right',
'move')
# Holds handler IDs for callbacks.
self._button_press = None
self._button_release = None
self._motion_notify = None
self._xypress = None
self._button_pressed = None
def activate(self):
self._button_press = self.canvas.mpl_connect(
'button_press_event', self._on_button_press)
self._button_relese = self.canvas.mpl_connect(
'button_release_event', self._on_button_release)
#self._drag = self.canvas.mpl_connect(
# 'mouse_drag_event', self._on_drag)
def deactivate(self):
if self._button_press:
self.canvas.mpl_disconnect(self._button_press)
if self._button_release:
self.canvas.mpl_disconnect(self._button_release)
def _on_button_press(self, event):
if event.button == 1:
self._button_pressed = 1
elif event.button == 3:
self._button_pressed = 3
else:
self._button_pressed=None
return
x, y = event.x, event.y
# push the current view to define home if stack is empty
# if self._views.empty(): self.push_current()
self._xypress=[]
for i, a in enumerate(self.canvas.figure.get_axes()):
if x is not None and y is not None and a.in_axes(x, y) \
and a.get_navigate():
xmin, xmax = a.get_xlim()
ymin, ymax = a.get_ylim()
lim = xmin, xmax, ymin, ymax
self._xypress.append((x, y, a, i, lim,a.transData.deepcopy()))
self.canvas.mpl_disconnect(self._motion_notify)
cid = self.canvas.mpl_connect('motion_notify_event',
self._on_motion_notify)
self._motion_notify = cid
def _on_motion_notify(self, event):
"""The drag callback in pan/zoom mode"""
def format_deltas(event, dx, dy):
"""Returns the correct dx and dy based on the modifier keys"""
if event.key=='control':
if(abs(dx)>abs(dy)):
dy = dx
else:
dx = dy
elif event.key=='x':
dy = 0
elif event.key=='y':
dx = 0
elif event.key=='shift':
if 2*abs(dx) < abs(dy):
dx=0
elif 2*abs(dy) < abs(dx):
dy=0
elif(abs(dx)>abs(dy)):
dy=dy/abs(dy)*abs(dx)
else:
dx=dx/abs(dx)*abs(dy)
return (dx,dy)
for cur_xypress in self._xypress:
lastx, lasty, a, ind, lim, trans = cur_xypress
xmin, xmax, ymin, ymax = lim
#safer to use the recorded button at the press than current button:
#multiple button can get pressed during motion...
if self._button_pressed==1:
lastx, lasty = trans.inverse_xy_tup( (lastx, lasty) )
x, y = trans.inverse_xy_tup( (event.x, event.y) )
if a.get_xscale()=='log':
dx=1-lastx/x
else:
dx=x-lastx
if a.get_yscale()=='log':
dy=1-lasty/y
else:
dy=y-lasty
dx,dy=format_deltas(event,dx,dy)
if a.get_xscale()=='log':
xmin *= 1-dx
xmax *= 1-dx
else:
xmin -= dx
xmax -= dx
if a.get_yscale()=='log':
ymin *= 1-dy
ymax *= 1-dy
else:
ymin -= dy
ymax -= dy
elif self._button_pressed==3:
try:
dx=(lastx-event.x)/float(a.bbox.width())
dy=(lasty-event.y)/float(a.bbox.height())
dx,dy=format_deltas(event,dx,dy)
if a.get_aspect() != 'auto':
dx = 0.5*(dx + dy)
dy = dx
alphax = pow(10.0,dx)
alphay = pow(10.0,dy)
lastx, lasty = trans.inverse_xy_tup( (lastx, lasty) )
if a.get_xscale()=='log':
xmin = lastx*(xmin/lastx)**alphax
xmax = lastx*(xmax/lastx)**alphax
else:
xmin = lastx+alphax*(xmin-lastx)
xmax = lastx+alphax*(xmax-lastx)
if a.get_yscale()=='log':
ymin = lasty*(ymin/lasty)**alphay
ymax = lasty*(ymax/lasty)**alphay
else:
ymin = lasty+alphay*(ymin-lasty)
ymax = lasty+alphay*(ymax-lasty)
except OverflowError:
warnings.warn('Overflow while panning')
return
a.set_xlim(xmin, xmax)
a.set_ylim(ymin, ymax)
self.canvas.draw()
def _on_button_release(self, event):
'the release mouse button callback in pan/zoom mode'
self.canvas.mpl_disconnect(self._motion_notify)
if not self._xypress: return
self._xypress = None
self._button_pressed = None
self.canvas.draw()
class ZoomPlotMode (PlotMode):
def __init__(self, plot):
PlotMode.__init__(self, plot, 'zoom',
'Zoom to rectangle','zoom_to_rect')
self._selectors = {}
def activate(self):
for ax in self.canvas.figure.get_axes():
props = dict(facecolor = 'blue',
edgecolor = 'black',
alpha = 0.3,
fill = True)
rs = RectangleSelector(ax, self._on_select, drawtype='box',
useblit=True, rectprops = props)
self.canvas.draw()
self._selectors[rs] = ax
def deactivate(self):
self._mpl_disconnect_all()
self._selectors = {}
def _on_select(self, start, end):
ax = start.inaxes
ax.set_xlim((min(start.xdata, end.xdata), max(start.xdata, end.xdata)))
ax.set_ylim((min(start.ydata, end.ydata), max(start.ydata, end.ydata)))
self.canvas.draw()
class SelectPlotMode2 (PlotMode):
def __init__(self, plot):
PlotMode.__init__(self, plot, 'lassoselect',
'Select within lasso', 'lasso')
def activate(self):
self._button_press = self.canvas.mpl_connect(
'button_press_event', self._on_select)
def deactivate(self):
self._mpl_disconnect_all()
self.plot._lasso = None
def _on_select(self, event):
if self.canvas.widgetlock.locked(): return
if event.inaxes is None: return
self.plot._lasso = Lasso(event.inaxes, (event.xdata, event.ydata), self.lasso_callback)
self.plot._lasso.line.set_linewidth(1)
self.plot._lasso.line.set_linestyle('--')
# get a lock on the widget
self.canvas.widgetlock(self.plot._lasso)
self._event = event
def lasso_callback(self, verts):
self.plot.lasso_select_callback(verts, self._event.key)
class SelectPlotMode (PlotMode):
def __init__(self, plot):
PlotMode.__init__(self, plot, 'select',
'Select within rectangle', 'select')
self._selectors = {}
def activate(self):
for ax in self.canvas.figure.get_axes():
props = dict(facecolor = 'blue',
edgecolor = 'black',
alpha = 0.3,
fill = True)
rs = RectangleSelector(ax, self._on_select, drawtype='box',
useblit=True, rectprops = props)
self.canvas.draw()
self._selectors[rs] = ax
def deactivate(self):
self._mpl_disconnect_all()
self._selectors = {}
def _on_select(self, start, end):
self.plot.rectangle_select_callback(start.xdata, start.ydata,
end.xdata, end.ydata, end.key)
class PlotToolbar(gtk.Toolbar):
def __init__(self, plot):
gtk.Toolbar.__init__(self)
self.plot = plot
self.canvas = plot.canvas
self._current_mode = None
self.tooltips = gtk.Tooltips()
## Maps toolbar buttons to PlotMode objects.
self._mode_buttons = {}
self.set_property('show-arrow', False)
self.canvas.connect('enter-notify-event', self.on_enter_notify)
self.show()
self.add_mode(DefaultPlotMode(self.plot))
self.add_mode(PanPlotMode(self.plot))
self.add_mode(ZoomPlotMode(self.plot))
self.add_mode(SelectPlotMode(self.plot))
self.add_mode(SelectPlotMode2(self.plot))
self.insert(gtk.SeparatorToolItem(), -1)
self.set_style(gtk.TOOLBAR_ICONS)
# Set up freeze button
btn = gtk.ToggleToolButton()
image = gtk.Image()
image.set_from_pixbuf(fluents.icon_factory.get('freeze'))
btn.set_icon_widget(image)
btn.connect('toggled', self._on_freeze_toggle)
self.insert(btn, -1)
self.show_all()
def add_mode(self, mode):
"""Adds a new mode to the toolbar."""
if len(self._mode_buttons) > 0:
other = self._mode_buttons.keys()[0]
else:
other = None
btn = gtk.RadioToolButton(other)
btn.set_icon_widget(mode.get_icon())
btn.set_tooltip(self.tooltips, mode.tooltip, 'Private')
btn.connect('toggled', self._on_mode_toggle)
self._mode_buttons[btn] = mode
self.insert(btn, -1)
if self._current_mode == None:
self._current_mode = mode
def get_mode(self):
"""Returns the active mode name."""
if self._current_mode:
return self._current_mode.name
return None
def get_mode_by_name(self, mode_name):
"""Returns the mode with the given name or None."""
for m in self._mode_buttons.values():
if m.name == mode_name:
return m
return None
def get_button(self, mode_name):
"""Returns the button that corresponds to a mode name."""
for b, m in self._mode_buttons.items():
if m.name == mode_name:
return b
return None
def set_mode(self, mode_name):
"""Sets a mode by name. Returns the mode or None"""
if mode_name == self._current_mode.name:
return None
if self._current_mode:
self._current_mode.deactivate()
new_mode = self.get_mode_by_name(mode_name)
if new_mode:
new_mode.activate()
self._current_mode = self.get_mode_by_name(mode_name)
else:
logger.log('warning', 'No such mode: %s' % mode_name)
if self.get_button(mode_name) and \
not self.get_button(mode_name).get_active():
self.get_button(mode_name).set_active(True)
globals()['active_mode'] = mode_name
return self._current_mode
def _on_mode_toggle(self, button):
if button.get_active():
self.set_mode(self._mode_buttons[button].name)
def _on_freeze_toggle(self, button):
self.plot.set_frozen(button.get_active())
def on_enter_notify(self, widget, event):
self.set_mode(active_mode)
# need views (plots) to grab key-events
widget.grab_focus()
# 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,))