def _on_custom(self, evt):
# add some text to the axes in a random location in axes (0,1)
# coords) with a random color
# get the axes
ax = self.canvas.figure.axes[0]
# generate a random location can color
x, y = tuple(rand(2))
rgb = tuple(rand(3))
# add the text and draw
ax.text(x, y, 'You clicked me', transform=ax.transAxes, color=rgb)
self.canvas.draw()
evt.Skip()
def _on_custom(self, evt):
# add some text to the axes in a random location in axes (0,1)
# coords) with a random color
# get the axes
ax = self.canvas.figure.axes[0]
# generate a random location can color
x,y = tuple(rand(2))
rgb = tuple(rand(3))
# add the text and draw
ax.text(x, y, 'You clicked me',
transform=ax.transAxes,
color=rgb)
self.canvas.draw()
evt.Skip()
def make_fig():
"""
make a figure
No need to close figures or clean up since the objects will be
destroyed when they go out of scope
"""
fig = Figure()
#ax = fig.add_subplot(111) # add a standard subplot
# add an axes at left, bottom, width, height; by making the bottom
# at 0.3, we save some extra room for tick labels
ax = fig.add_axes([0.2, 0.3, 0.7, 0.6])
line, = ax.plot([1, 2, 3], 'ro--', markersize=12, markerfacecolor='g')
# make a translucent scatter collection
x = nx.rand(100)
y = nx.rand(100)
area = nx.pi * (10 * nx.rand(100))**2 # 0 to 10 point radiuses
c = ax.scatter(x, y, area)
c.set_alpha(0.5)
# add some text decoration
ax.set_title('My first image')
ax.set_ylabel('Some numbers')
ax.set_xticks((.2, .4, .6, .8))
labels = ax.set_xticklabels(('Bill', 'Fred', 'Ted', 'Ed'))
# To set object properties, you can either iterate over the
# objects manually, or define you own set command, as in setapi
# above.
#setapi(labels, rotation=45, fontsize=12)
for l in labels:
l.set_rotation(45)
l.set_fontsize(12)
canvas = FigureCanvasAgg(fig)
canvas.print_figure('webapp.png', dpi=150)
def make_fig():
"""
make a figure
No need to close figures or clean up since the objects will be
destroyed when they go out of scope
"""
fig = Figure()
#ax = fig.add_subplot(111) # add a standard subplot
# add an axes at left, bottom, width, height; by making the bottom
# at 0.3, we save some extra room for tick labels
ax = fig.add_axes([0.2, 0.3, 0.7, 0.6])
line, = ax.plot([1,2,3], 'ro--', markersize=12, markerfacecolor='g')
# make a translucent scatter collection
x = nx.rand(100)
y = nx.rand(100)
area = nx.pi*(10 * nx.rand(100))**2 # 0 to 10 point radiuses
c = ax.scatter(x,y,area)
c.set_alpha(0.5)
# add some text decoration
ax.set_title('My first image')
ax.set_ylabel('Some numbers')
ax.set_xticks( (.2,.4,.6,.8) )
labels = ax.set_xticklabels(('Bill', 'Fred', 'Ted', 'Ed'))
# To set object properties, you can either iterate over the
# objects manually, or define you own set command, as in setapi
# above.
#setapi(labels, rotation=45, fontsize=12)
for l in labels:
l.set_rotation(45)
l.set_fontsize(12)
canvas = FigureCanvasAgg(fig)
canvas.print_figure('webapp.png', dpi=150)
def rand_point():
xy = rand(2)
return Point( Value(xy[0]), Value(xy[1]) )
from helpers import rand_val, rand_point, rand_bbox, rand_transform
from matplotlib.numerix import rand
def report_memory(i):
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[0])
N = 200
for i in range(N):
v1, v2, v3, v4, v5 = rand_val(5)
b1 = v1 + v2
b2 = v3 -v4
b3 = v1*v2*b2 - b1
p1 = rand_point()
box1 = rand_bbox()
t = rand_transform()
N = 10000
x, y = rand(N), rand(N)
xt, yt = t.numerix_x_y(x, y)
xys = t.seq_xy_tups( zip(x,y) )
val = report_memory(i)
if i==1: start = val
end = val
print 'Average memory consumed per loop: %1.4f\n' % ((end-start)/float(N))
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[0])
fname = '/usr/local/share/matplotlib/Vera.ttf'
N = 200
for i in range(N):
gc = GraphicsContextBase()
gc.set_clip_rectangle([20, 20, 20, 20])
o = RendererAgg(400, 400, 72)
for j in range(50):
xs = [400 * int(rand()) for k in range(8)]
ys = [400 * int(rand()) for k in range(8)]
rgb = (1, 0, 0)
pnts = zip(xs, ys)
o.draw_polygon(gc, rgb, pnts)
o.draw_polygon(gc, None, pnts)
for j in range(50):
x = [400 * int(rand()) for k in range(4)]
y = [400 * int(rand()) for k in range(4)]
o.draw_lines(gc, x, y)
for j in range(50):
args = [400 * int(rand()) for k in range(4)]
rgb = (1, 0, 0)
o.draw_rectangle(gc, rgb, *args)
a = multiply_affines(a2, a1) assert( a1.xy_tup(pnt) == (6,8) ) assert( a.xy_tup(pnt) == (8,17) ) # change num to 4 and make sure the affine product is still right num.set(4) assert( a1.xy_tup(pnt) == (12,16) ) assert( a.xy_tup(pnt) == (16,65) ) # test affines with arithemtic sums of lazy values val = num*(one + two) a1 = Affine(one, zero, zero, val, num, val) assert(a1.xy_tup(pnt) == (7, 60)) x = rand(20) y = rand(20) transform = identity_transform() xout, yout = transform.seq_x_y(x,y) assert((x,y) == transform.seq_x_y(x,y)) # test bbox transforms; transform the unit coordinate system to # "display coords" bboxin = unit_bbox() ll = Point( Value(10), Value(10) ) ur = Point( Value(200), Value(40) ) bboxout = Bbox(ll, ur) transform = get_bbox_transform(bboxin, bboxout)
def rand_val(N = 1):
if N==1: return Value(rand())
else: return [Value(val) for val in rand(N)]
def report_memory(i):
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[0])
fname = '/usr/local/share/matplotlib/Vera.ttf'
N = 200
for i in range(N):
gc = GraphicsContextBase()
gc.set_clip_rectangle( [20,20,20,20] )
o = RendererAgg(400,400, 72)
for j in range(50):
xs = [400*int(rand()) for k in range(8)]
ys = [400*int(rand()) for k in range(8)]
rgb = (1,0,0)
pnts = zip(xs, ys)
o.draw_polygon(gc, rgb, pnts)
o.draw_polygon(gc, None, pnts)
for j in range(50):
x = [400*int(rand()) for k in range(4)]
y = [400*int(rand()) for k in range(4)]
o.draw_lines( gc, x, y)
for j in range(50):
args = [400*int(rand()) for k in range(4)]
rgb = (1,0,0)
o.draw_rectangle(gc, rgb, *args)
def rand_point():
xy = rand(2)
return Point(Value(xy[0]), Value(xy[1]))
from helpers import rand_val, rand_point, rand_bbox, rand_transform
from matplotlib.numerix import rand
def report_memory(i):
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[0])
N = 200
for i in range(N):
v1, v2, v3, v4, v5 = rand_val(5)
b1 = v1 + v2
b2 = v3 - v4
b3 = v1 * v2 * b2 - b1
p1 = rand_point()
box1 = rand_bbox()
t = rand_transform()
N = 10000
x, y = rand(N), rand(N)
xt, yt = t.numerix_x_y(x, y)
xys = t.seq_xy_tups(zip(x, y))
val = report_memory(i)
if i == 1: start = val
end = val
print 'Average memory consumed per loop: %1.4f\n' % ((end - start) / float(N))
class DataManager(gtk.Window):
numRows, numCols = 20, 10
data = rand(numRows, numCols)
def __init__(self):
gtk.Window.__init__(self)
self.connect('destroy', lambda win: gtk.main_quit())
self.set_title('GtkListStore demo')
self.set_border_width(8)
vbox = gtk.VBox(FALSE, 8)
self.add(vbox)
label = gtk.Label('Double click a row to plot the data')
vbox.pack_start(label, FALSE, FALSE)
sw = gtk.ScrolledWindow()
sw.set_shadow_type(gtk.SHADOW_ETCHED_IN)
sw.set_policy(gtk.POLICY_NEVER, gtk.POLICY_AUTOMATIC)
vbox.pack_start(sw, True, True)
model = self.create_model()
self.treeview = gtk.TreeView(model)
self.treeview.set_rules_hint(TRUE)
# matplotlib stuff
fig = Figure(figsize=(6, 4))
self.canvas = FigureCanvas(fig) # a gtk.DrawingArea
self.canvas.show()
vbox.pack_start(self.canvas, False, False)
ax = fig.add_subplot(111)
self.line, = ax.plot(self.data[0, :], 'go') # plot the first row
self.treeview.connect('row-activated', self.plot_row)
sw.add(self.treeview)
self.add_columns()
self.set_default_size(600, 600)
self.add_events(gdk.BUTTON_PRESS_MASK | gdk.KEY_PRESS_MASK
| gdk.KEY_RELEASE_MASK)
def plot_row(self, treeview, path, view_column):
ind, = path # get the index into data
points = self.data[ind, :]
self.line.set_ydata(points)
self.canvas.draw()
def add_columns(self):
model = self.treeview.get_model()
renderer = gtk.CellRendererText()
for i in range(self.numCols):
column = gtk.TreeViewColumn('%d' % i,
gtk.CellRendererText(),
text=i)
self.treeview.append_column(column)
def create_model(self):
types = [gobject.TYPE_DOUBLE] * self.numCols
store = gtk.ListStore(*types)
for row in self.data:
iter = store.append()
pairs = []
for i, num in enumerate(row):
pairs.extend((i, num))
store.set(iter, *pairs)
return store
a = multiply_affines(a2, a1) assert (a1.xy_tup(pnt) == (6, 8)) assert (a.xy_tup(pnt) == (8, 17)) # change num to 4 and make sure the affine product is still right num.set(4) assert (a1.xy_tup(pnt) == (12, 16)) assert (a.xy_tup(pnt) == (16, 65)) # test affines with arithemtic sums of lazy values val = num * (one + two) a1 = Affine(one, zero, zero, val, num, val) assert (a1.xy_tup(pnt) == (7, 60)) x = rand(20) y = rand(20) transform = identity_transform() xout, yout = transform.seq_x_y(x, y) assert ((x, y) == transform.seq_x_y(x, y)) # test bbox transforms; transform the unit coordinate system to # "display coords" bboxin = unit_bbox() ll = Point(Value(10), Value(10)) ur = Point(Value(200), Value(40)) bboxout = Bbox(ll, ur) transform = get_bbox_transform(bboxin, bboxout) assert (transform.xy_tup((0, 0)) == (10, 10))
