Barplot, lots of changes in scatter, disabled modes, removed labels, bugfix on lasso
This commit is contained in:
parent
e716db3fd2
commit
088f180b5d
299
fluents/plots.py
299
fluents/plots.py
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@ -14,7 +14,7 @@ from matplotlib.nxutils import points_inside_poly
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from matplotlib.axes import Subplot, AxesImage
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from matplotlib.figure import Figure
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from matplotlib import cm,cbook
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from pylab import Polygon
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from pylab import Polygon, axis, Circle
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from matplotlib.collections import LineCollection
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from matplotlib.mlab import prctile
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import networkx
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@ -227,7 +227,11 @@ class ViewFrame (gtk.Frame):
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if view.is_mappable_with(obj):
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view._update_color_from_dataset(obj)
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# add selections below
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elif isinstance(obj, fluents.dataset.Selection):
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view = self.get_view()
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if view.is_mappable_with(obj):
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view.selection_changed(self.current_dim, obj)
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class MainView (gtk.Notebook):
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@ -505,7 +509,7 @@ class LineViewPlot(Plot):
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self.major_axis = major_axis
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self.minor_axis = minor_axis
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Plot.__init__(self, name)
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self.use_blit = False #fixme: blitting does work
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self.use_blit = False #fixme: blitting should work
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self.current_dim = self.dataset.get_dim_name(major_axis)
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# make axes
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@ -533,6 +537,8 @@ class LineViewPlot(Plot):
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def _set_background(self, ax):
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"""Add three patches representing [min max],[5,95] and [25,75] percentiles, and a line at the median.
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"""
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if self._data.shape[self.minor_axis]<10:
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return
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# settings
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patch_color = 'b' #blue
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patch_lw = 0 #no edges
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@ -577,6 +583,13 @@ class LineViewPlot(Plot):
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# median line
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ax.plot(xax, med, median_color, linewidth=median_width)
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# Disable selection modes
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btn = self._toolbar.get_button('select')
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btn.set_sensitive(False)
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btn = self._toolbar.get_button('lassoselect')
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btn.set_sensitive(False)
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self._toolbar.freeze_button.set_sensitive(False)
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def clear_background(self, event):
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"""Callback on resize event. Clears the background.
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"""
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@ -690,6 +703,7 @@ class ScatterPlot(Plot):
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Plot.__init__(self, name)
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self.use_blit = False
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self.ax = self.fig.add_subplot(111)
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self._clean_bck = self.canvas.copy_from_bbox(self.ax.bbox)
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self.current_dim = id_dim
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self.dataset_1 = dataset_1
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x_index = dataset_1[sel_dim][id_1]
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@ -701,26 +715,31 @@ class ScatterPlot(Plot):
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self.yaxis_data = dataset_2._array[:, y_index]
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lw = scipy.zeros(self.xaxis_data.shape)
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self.sc = sc = self.ax.scatter(self.xaxis_data, self.yaxis_data,
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s=s, c=c, linewidth=lw,
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edgecolor='k', alpha=.8,
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cmap=cm.jet)
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s=s, c=c, linewidth=lw)
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if len(c)>1:
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self.fig.colorbar(sc, fraction=.05)
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self.ax.axhline(0, color='k', lw=1., zorder=1)
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self.ax.axvline(0, color='k', lw=1., zorder=1)
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# collection
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self.coll = self.ax.collections[0]
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# labels
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self._text_labels = None
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# add canvas to widget
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self.add(self.canvas)
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self.canvas.show()
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def is_mappable_with(self, dataset):
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"""Returns True if dataset is mappable with this plot.
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def is_mappable_with(self, obj):
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"""Returns True if dataset/selection is mappable with this plot.
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"""
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if self.current_dim in dataset.get_dim_name() and dataset.asarray().shape[0] == self.xaxis_data.shape[0]:
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if isinstance(obj, fluents.dataset.Dataset):
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if self.current_dim in obj.get_dim_name() and obj.asarray().shape[0] == self.xaxis_data.shape[0]:
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return True
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elif isinstance(obj, fluents.dataset.Selection):
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if self.current_dim in obj.get_dim_name():
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print "Selection is mappable"
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return True
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else:
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return False
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def _update_color_from_dataset(self, data):
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"""Updates the facecolors from a dataset.
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@ -730,7 +749,7 @@ class ScatterPlot(Plot):
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try:
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m, n = array.shape
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except:
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raise ValueError, "No support for more tha 2 dimensions."
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raise ValueError, "No support for more than 2 dimensions."
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# is dataset a vector or matrix?
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if not n==1:
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# we have a category dataset
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@ -741,14 +760,10 @@ class ScatterPlot(Plot):
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else:
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map_vec = array.ravel()
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# normalise mapping vector
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map_vec = map_vec - map_vec.min()
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map_vec = map_vec/map_vec.max()
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# update facecolors
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self.sc._facecolors = self.sc.to_rgba(map_vec, self.sc._alpha)
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# draw
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self.sc._A = None # mean hack
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self.ax.draw_artist(self.sc)
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self.sc.set_array(map_vec)
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self.sc.set_clim(map_vec.min(), map_vec.max())
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self.sc.update_scalarmappable() #sets facecolors from array
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self.canvas.draw()
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def rectangle_select_callback(self, x1, y1, x2, y2, key):
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@ -775,13 +790,11 @@ class ScatterPlot(Plot):
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ids = self.dataset_1.get_identifiers(self.current_dim, index)
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ids = self.update_selection(ids, key)
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self.selection_listener(self.current_dim, ids)
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self.canvas.widgetlock.release(self._lasso)
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def set_current_selection(self, selection):
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ids = selection[self.current_dim] # current identifiers
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if len(ids)==0:
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return
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#self._toolbar.forward() #update data lims before draw
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index = self.dataset_1.get_indices(self.current_dim, ids)
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if self.use_blit:
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if self._background is None:
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@ -790,12 +803,13 @@ class ScatterPlot(Plot):
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lw = scipy.zeros(self.xaxis_data.shape, 'f')
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if len(index)>0:
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lw.put(2., index)
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self.coll.set_linewidth(lw)
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self.sc.set_linewidth(lw)
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if self.use_blit:
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self.ax.draw_artist(self.sc)
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self.canvas.blit()
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self.ax.draw_artist(self.coll)
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else:
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print self.ax.lines
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self.canvas.draw()
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@ -811,10 +825,6 @@ class ImagePlot(Plot):
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self.ax.set_yticks([])
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self.ax.grid(False)
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# FIXME: ax shouldn't be in kw at all
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if kw.has_key('ax'):
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kw.pop('ax')
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# Initial draw
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self.ax.imshow(dataset.asarray(), interpolation='nearest', aspect='auto')
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@ -832,18 +842,13 @@ class ImagePlot(Plot):
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def get_toolbar(self):
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return self._toolbar
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class HistogramPlot(Plot):
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def __init__(self, dataset, **kw):
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self.dataset = dataset
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self.keywords = kw
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Plot.__init__(self, kw['name'])
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self.ax = self.fig.add_subplot(111)
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#self.ax.set_xticks([])
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#self.ax.set_yticks([])
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self.ax.grid(False)
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# FIXME: ax shouldn't be in kw at all
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# Initial draw
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self.ax.hist(dataset.asarray(), bins=20)
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@ -852,6 +857,56 @@ class HistogramPlot(Plot):
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self.add(self.canvas)
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self.canvas.show()
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# Disable selection modes
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btn = self._toolbar.get_button('select')
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btn.set_sensitive(False)
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btn = self._toolbar.get_button('lassoselect')
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btn.set_sensitive(False)
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self._toolbar.freeze_button.set_sensitive(False)
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def get_toolbar(self):
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return self._toolbar
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class BarPlot(Plot):
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"""Bar plot.
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Ordinary bar plot for (column) vectors.
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For matrices there is one color for each row.
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"""
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def __init__(self, dataset, name):
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self.dataset = dataset
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n, m = dataset.shape
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Plot.__init__(self, name)
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self.ax = self.fig.add_subplot(111)
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self.ax.grid(False)
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# Initial draw
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if m>1:
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sm = cm.ScalarMappable()
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clrs = sm.to_rgba(range(n))
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for i, row in enumerate(dataset.asarray()):
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left = scipy.arange(i+1, m*n+1, n)
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height = row
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color = clrs[i]
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c = (color[0], color[1], color[2])
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self.ax.bar(left, height,color=c)
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else:
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height = dataset.asarray().ravel()
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left = scipy.arange(1, n, 1)
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self.ax.bar(left, height)
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# Add canvas and show
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self.add(self.canvas)
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self.canvas.show()
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# Disable selection modes
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btn = self._toolbar.get_button('select')
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btn.set_sensitive(False)
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btn = self._toolbar.get_button('lassoselect')
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btn.set_sensitive(False)
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self._toolbar.freeze_button.set_sensitive(False)
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def get_toolbar(self):
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return self._toolbar
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@ -904,6 +959,7 @@ class NetworkPlot(Plot):
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self.ax.set_xticks([])
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self.ax.set_yticks([])
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self.ax.grid(False)
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self.ax.set_frame_on(False)
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# FIXME: ax shouldn't be in kw at all
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if kw.has_key('ax'):
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kw.pop('ax')
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@ -994,6 +1050,176 @@ class NetworkPlot(Plot):
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self.canvas.draw()
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class VennPlot(Plot):
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def __init__(self, name="Venn diagram"):
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Plot.__init__(self, name)
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self._ax = self.fig.add_subplot(111)
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self._ax.grid(0)
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self._init_bck()
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for c in self._venn_patches:
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self._ax.add_patch(c)
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for mrk in self._markers:
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self._ax.add_patch(mrk)
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self._ax.set_xlim([-3, 3])
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self._ax.set_ylim([-2.5, 3.5])
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self._last_active = set()
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self._ax.set_xticks([])
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self._ax.set_yticks([])
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self._ax.grid(0)
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self._ax.axis('equal')
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self._ax.set_frame_on(False)
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# add canvas to widget
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self.add(self.canvas)
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self.canvas.show()
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def _init_bck(self):
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res = 50
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a = .5
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r = 1.5
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mr = .2
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self.c1 = c1 = Circle((-1,0), radius=r, alpha=a, facecolor='b', resolution=res)
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self.c2 = c2 = Circle((1,0), radius=r, alpha=a, facecolor='r', resolution=res)
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self.c3 = c3 = Circle((0, scipy.sqrt(3)), radius=r, alpha=a, facecolor='g', resolution=res)
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self.c1marker = Circle((-1.25, -.25), radius=mr, facecolor='y', alpha=0)
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self.c2marker = Circle((1.25, -.25), radius=mr, facecolor='y', alpha=0)
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self.c3marker = Circle((0, scipy.sqrt(3)+.25), radius=mr, facecolor='y', alpha=0)
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self.c1c2marker = Circle((0, -.15), radius=mr, facecolor='y', alpha=0)
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self.c1c3marker = Circle((-scipy.sqrt(2)/2, 1), radius=mr, facecolor='y', alpha=0)
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self.c2c3marker = Circle((scipy.sqrt(2)/2, 1), radius=mr, facecolor='y', alpha=0)
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self.c1c2c3marker = Circle((0, .6), radius=mr, facecolor='y', alpha=0)
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c1.elements = set(['a', 'b', 'c', 'f'])
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c2.elements = set(['a', 'c', 'd', 'e'])
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c3.elements = set(['a', 'e', 'f', 'g'])
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self.active_elements = set()
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self.all_elements = c1.elements.union(c2.elements).union(c3.elements)
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c1.active = False
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c2.active = False
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c3.active = False
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c1.name = 'Blue'
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c2.name = 'Red'
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c3.name = 'Green'
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self._venn_patches = [c1, c2, c3]
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self._markers = [self.c1marker, self.c2marker, self.c3marker,
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self.c1c2marker, self.c1c3marker,
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self.c2c3marker, self.c1c2c3marker]
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self._tot_label = 'Tot: ' + str(len(self.all_elements))
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self._sel_label = 'Sel: ' + str(len(self.active_elements))
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self._legend = self._ax.legend((self._tot_label, self._sel_label),
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loc='upper right')
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def set_selection(self, selection, patch=None):
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if patch:
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patch.selection = selection
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else:
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selection_set = False
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for patch in self._venn_patches:
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if len(patch.elements)==0:
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patch.elements = selection
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selection_set = True
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if not selection_set:
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self.venn_patches[0].elements = selection
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def lasso_select_callback(self, verts, key=None):
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if verts==None:
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print "ks"
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verts = (self._event.xdata, self._event.ydata)
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if key!='shift':
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for m in self._markers:
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m.set_alpha(0)
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self._patches_within_verts(verts, key)
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active = [i.active for i in self._venn_patches]
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if active==[True, False, False]:
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self.c1marker.set_alpha(1)
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self.active_elements = self.c1.elements.difference(self.c2.elements.union(self.c3.elements))
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elif active== [False, True, False]:
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self.c2marker.set_alpha(1)
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self.active_elements = self.c2.elements.difference(self.c1.elements.union(self.c3.elements))
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elif active== [False, False, True]:
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self.c3marker.set_alpha(1)
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self.active_elements = self.c3.elements.difference(self.c2.elements.union(self.c1.elements))
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elif active==[True, True, False]:
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self.c1c2marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c2.elements)
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elif active==[True, False, True]:
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self.c1c3marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c3.elements)
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elif active==[False, True, True]:
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self.c2c3marker.set_alpha(1)
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self.active_elements = self.c2.elements.intersection(self.c3.elements)
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elif active==[True, True, True]:
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self.c1c2c3marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c3.elements).intersection(self.c2.elements)
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if key=='shift':
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self.active_elements = self.active_elements.union(self._last_active)
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self._last_active = self.active_elements.copy()
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self._sel_label = 'Sel: ' + str(len(self.active_elements))
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self._legend.texts[1].set_text(self._sel_label)
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self.canvas.widgetlock.release(self._lasso)
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del self._lasso
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self._ax.figure.canvas.draw()
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def rectangle_select_callback(self, x1, y1, x2, y2, key):
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"""event1 and event2 are the press and release events"""
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#x1, y1 = event1.xdata, event1.ydata
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#x2, y2 = event2.xdata, event2.ydata
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#key = event1.key
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verts = [(x1, y1), (x2, y2)]
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if key!='shift':
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for m in self._markers:
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m.set_alpha(0)
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self._patches_within_verts(verts, key)
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active = [i.active for i in self._venn_patches]
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if active==[True, False, False]:
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self.c1marker.set_alpha(1)
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self.active_elements = self.c1.elements.difference(self.c2.elements.union(self.c3.elements))
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elif active== [False, True, False]:
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self.c2marker.set_alpha(1)
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self.active_elements = self.c2.elements.difference(self.c1.elements.union(self.c3.elements))
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elif active== [False, False, True]:
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self.c3marker.set_alpha(1)
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self.active_elements = self.c3.elements.difference(self.c2.elements.union(self.c1.elements))
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elif active==[True, True, False]:
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self.c1c2marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c2.elements)
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elif active==[True, False, True]:
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self.c1c3marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c3.elements)
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elif active==[False, True, True]:
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self.c2c3marker.set_alpha(1)
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self.active_elements = self.c2.elements.intersection(self.c3.elements)
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elif active==[True, True, True]:
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self.c1c2c3marker.set_alpha(1)
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self.active_elements = self.c1.elements.intersection(self.c3.elements).intersection(self.c2.elements)
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if key=='shift':
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self.active_elements = self.active_elements.union(self._last_active)
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self._last_active = self.active_elements.copy()
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self._sel_label = 'Sel: ' + str(len(self.active_elements))
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||||
self._legend.texts[1].set_text(self._sel_label)
|
||||
self._ax.figure.canvas.draw()
|
||||
|
||||
def _patches_within_verts(self, verts, key):
|
||||
xy = scipy.array(verts).mean(0)
|
||||
for venn_patch in self._venn_patches:
|
||||
venn_patch.active = False
|
||||
if self._distance(venn_patch.center,xy)<venn_patch.radius:
|
||||
venn_patch.active = True
|
||||
|
||||
def _distance(self, (x1,y1),(x2,y2)):
|
||||
return scipy.sqrt( (x2-x1)**2 + (y2-y1)**2 )
|
||||
|
||||
|
||||
class PlotMode:
|
||||
"""A PlotMode object corresponds to a mouse mode in a plot.
|
||||
|
||||
|
|
@ -1250,13 +1476,12 @@ class SelectPlotMode2 (PlotMode):
|
|||
self.plot._lasso = None
|
||||
|
||||
def _on_select(self, event):
|
||||
if self.canvas.widgetlock.locked(): return
|
||||
if event.inaxes is None: return
|
||||
if event.inaxes is None:
|
||||
logger.log('debug', 'Lasso select not in axes')
|
||||
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):
|
||||
|
|
|
|||
Reference in New Issue