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added a logger for constructor calls

This commit is contained in:
Arnar Flatberg 2007-03-14 16:27:23 +00:00
parent 212da78933
commit 818dc0b2b0
1 changed files with 26 additions and 11 deletions

View File

@ -2,6 +2,7 @@ import pygtk
import gobject
import gtk
import matplotlib
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
from matplotlib.nxutils import points_inside_poly
from matplotlib.figure import Figure
@ -17,8 +18,15 @@ import fluents
import logger
import view
def plotlogger(func, name=None):
def wrapped(parent, *args, **kw):
parent.__args = args
parent.__kw = kw
return func(parent, *args, **kw)
return wrapped
class Plot (view.View):
class Plot(view.View):
def __init__(self, title):
view.View.__init__(self, title)
logger.log('debug', 'plot %s init' %title)
@ -132,6 +140,7 @@ class LineViewPlot(Plot):
fixme: slow
"""
@plotlogger
def __init__(self, dataset, major_axis=1, minor_axis=None, name="Line view"):
Plot.__init__(self, name)
self.dataset = dataset
@ -233,7 +242,7 @@ class LineViewPlot(Plot):
class ScatterMarkerPlot(Plot):
"""The ScatterMarkerPlot is faster than regular scatterplot, but
has no color and size options."""
@plotlogger
def __init__(self, dataset_1, dataset_2, id_dim, sel_dim,
id_1, id_2, s=6, name="Scatter plot"):
Plot.__init__(self, name)
@ -306,12 +315,14 @@ class ScatterMarkerPlot(Plot):
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"):
@plotlogger
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", **kw):
Plot.__init__(self, name)
self.dataset_1 = dataset_1
self.s = s
self.c = c
self.kw = kw
self.current_dim = id_dim
x_index = dataset_1[sel_dim][id_1]
@ -355,7 +366,8 @@ class ScatterPlot(Plot):
def init_draw(self):
lw = scipy.zeros(self.xaxis_data.shape)
self.sc = self.axes.scatter(self.xaxis_data, self.yaxis_data,
s=self.s, c=self.c, linewidth=lw, zorder=3)
s=self.s, c=self.c, linewidth=lw,
zorder=3, **self.kw)
self.axes.axhline(0, color='k', lw=1., zorder=1)
self.axes.axvline(0, color='k', lw=1., zorder=1)
self.selection_collection = self.axes.scatter(self.xaxis_data,
@ -449,6 +461,7 @@ class ScatterPlot(Plot):
class ImagePlot(Plot):
@plotlogger
def __init__(self, dataset, **kw):
Plot.__init__(self, kw.get('name', 'Image Plot'))
self.dataset = dataset
@ -469,7 +482,7 @@ class HistogramPlot(Plot):
If dataset is 1-dim the current_dim is set and selections may
be performed. For dataset> 1.dim the histogram is over all values
and selections are not defined,"""
@plotlogger
def __init__(self, dataset, **kw):
Plot.__init__(self, kw['name'])
self.dataset = dataset
@ -556,6 +569,7 @@ class BarPlot(Plot):
Ordinary bar plot for (column) vectors.
For matrices there is one color for each row.
"""
@plotlogger
def __init__(self, dataset, **kw):
Plot.__init__(self, kw.get('name', 'Bar Plot'))
self.dataset = dataset
@ -564,8 +578,7 @@ class BarPlot(Plot):
self.axes.grid(False)
n, m = dataset.shape
if m>1:
sm = matplotlib.cm.ScalarMappable()
clrs = sm.to_rgba(range(n))
clrs = matplotlib.cm.ScalarMappable().to_rgba(range(n))
for i, row in enumerate(dataset.asarray()):
left = scipy.arange(i+1, m*n+1, n)
height = row
@ -584,6 +597,7 @@ class BarPlot(Plot):
class NetworkPlot(Plot):
@plotlogger
def __init__(self, dataset, pos=None, nodecolor='b', nodesize=40,
prog='neato', with_labels=False, name='Network Plot'):
@ -606,9 +620,9 @@ class NetworkPlot(Plot):
# Initial draw
self.default_props = {'nodesize' : 50,
'nodecolor' : 'gray',
'edge_color' : (.5, .5, .5, 1),
'edge_color_selected' : (1,0,0,1)}
'nodecolor' : 'blue',
'edge_color' : 'gray',
'edge_color_selected' : 'red'}
self.node_collection = None
self.edge_collection = None
self.node_labels = None
@ -634,7 +648,7 @@ class NetworkPlot(Plot):
self._pos,
ax=self.axes,
edge_color=edge_color)
# edge color rgba-array
# edge color rgba-arrays
self._edge_color_rgba = scipy.repmat(ColorConverter().to_rgba(edge_color),
self.graph.number_of_edges(),1)
self._edge_color_selected = ColorConverter().to_rgba(self.default_props['edge_color_selected'])
@ -693,6 +707,7 @@ class NetworkPlot(Plot):
class VennPlot(Plot):
@plotlogger
def __init__(self, name="Venn diagram"):
Plot.__init__(self, name)