def do(data, canvas, width, g, after=0):
# ...
canvas.delete('all')
chart(data, canvas, width, g)
canvas.update()
root.after(after, do, data, canvas, width, g)
def OnButtonEigenvaluesButton(self, event):
self.clear_canvas()
ch = chart()
ch.fc = self.canvas
se = series()
ch.bind_series(se)
se.color = "#000000"
se.data = self.o2.eigenvals
ch.draw()
def OnButtonLoadingsButton(self, event):
self.clear_canvas()
ch = chart()
ch.custom_y_max = 1.
ch.custom_y_min = -1.
ch.fc = self.canvas
pc_s = self.get_pc_s()
i = 0
for pc in pc_s:
se = series()
ch.bind_series(se)
se.color = COLORS[i]
se.data = self.o2.get_loading(pc)
i += 1
ch.draw()
def OnButtonShowButton(self, event):
def binder_function(event2):
event2.shape.spectrum_index = event2.index
event2.shape.Bind(fc.EVT_FC_LEFT_DOWN, self.on_shape_down)
pc_s = self.get_pc_s()
ms = self.get_marker_size()
idjudge = self.get_idjudge()
flag_judge = False
if idjudge > 0:
self.sl = sentence_lot()
sl = self.sl
self.configure_object(sl)
sl.colors = COLORS
sl.idjudge = idjudge
sl.read()
sl.calculate()
flag_judge = True
self.clear_canvas()
if self.get_dimensions() == 0:
if len(pc_s) < 2:
raise error_x("At least 2 PC's are needed!")
x_pc = pc_s[0]
y_pc = pc_s[1]
ch = chart()
ch.fc = self.canvas
se = series_marker()
ch.bind_series(se)
se.marker_size = ms
se.binder_function = binder_function
se.x_values = self.o2.scores[:, x_pc]
se.y_values = self.o2.scores[:, y_pc]
else:
if len(pc_s) < 3:
raise error_x("At least 3 PC's are needed!")
x_pc = pc_s[0]
y_pc = pc_s[1]
z_pc = pc_s[2]
ch = chart3d()
self.ch = ch
ch.fc = self.canvas
se = series3d_marker()
ch.bind_series(se)
se.marker_size = ms
se.binder_function = binder_function
se.x_values = self.o2.scores[:, x_pc]
se.y_values = self.o2.scores[:, y_pc]
se.z_values = self.o2.scores[:, z_pc]
if flag_judge:
se.colors = sl.get_colors()
if self.get_dimensions() == 0:
ch.draw()
else:
self.redraw_3d()
self.set_flag_scores_plot(True)
# tokens:
rule("medium", ["email", "text", "im"]),
rule("entity", ["alice", "bob"]),
rule("medium_verb", ["between", "to", "from"]),
rule("topic", ["concert", "rent", "movie"])
]
tokens = in_sequence(["emails", "to", "bob", "about", "movie"])
con = context()
con.compile(flatten(rules))
compiled_rules = con.get_rules()
ch = chart(tokens, compiled_rules)
winners = ch.parse(tokens)
print "rules:"
ch.print_rules()
print
print "symbols:"
ch.print_symbols()
print
print "winners:"
i = 0
for w in sorted(winners):
print i, "\t", w
symbol("buffalo", "Buffalo-born", (2,3)),
symbol("buffalo", "Bison", (3,4)),
symbol("buffalo", "bully", (4,5)),
symbol("buffalo", "bully", (5,6)),
symbol("buffalo", "Buffalo-born", (6,7)),
symbol("buffalo", "Bison", (7,8))
]
rules = [
rule("start", ["sentence"]),
rule("sentence", ["noun_phrase", "verb", "noun_phrase"], lambda n1, v, n2: flatten_values(["<", n1, "> performs the action ", v, " to <", n2, ">"])),
rule("noun_phrase", ["noun"]),
rule("noun_phrase", ["adjective", "noun"], lambda a, n: [n, " with property ", a]),
rule("noun_phrase", ["noun_phrase", "noun_phrase", "verb"], lambda n1, n2, v: ["<", n1, "> which is ", v, "'d by <", n2, ">"]),
rule("noun", ["buffalo"]),
rule("verb", ["buffalo"]),
rule("adjective", ["buffalo"])
]
ch = chart(tokens, rules)
ch.print_rules()
winners = ch.parse(tokens)
print
print "winners:"
i = 0
for w in sorted(winners):
print i, "\t", w
i += 1
