def test(self):
info = infos.val(15)
self.assertTrue(callable(info))
self.assertEqual(3, info(3))
self.assertEqual(0, info(0))
self.assertEqual(15, info(None))
def test(self):
info = infos.val(15)
self.assertTrue(callable(info))
self.assertEqual(3, info(3))
self.assertEqual(0, info(0))
self.assertEqual(15, info(None))
def _create_plot_component():
red = util.Color(255, 0, 0, 255)
green = util.Color(0, 255, 0, 255)
blue = util.Color(0, 0, 255, 255)
purple = util.Color(125, 0, 255, 255)
white = util.Color(255, 255, 255, 255)
black = util.Color(0, 0, 0, 255)
shape = glyphset.ShapeCodes.RECT
glyphs = blzg.load_csv(
"../data/circlepoints.csv",
"x",
"y",
"series",
schema="{r:float32, theta:float32, x:float32, y:float32, series:int32}"
)
screen = (800, 600)
ivt = util.zoom_fit(screen, glyphs.bounds())
with Timer("Abstract-Render") as arTimer:
image = core.render(
glyphs, infos.val(), blzg.CountCategories("int32"),
categories.HDAlpha([red, blue, green, purple, black]), screen, ivt)
# image = core.render(glyphs,
# infos.valAt(4,0),
# blzg.Count(),
# numeric.BinarySegment(white, black, 1),
# screen,
# ivt)
# Create a plot data object and give it this data
pd = ArrayPlotData()
pd.set_data("imagedata", image)
# Create the plot
plot = Plot(pd)
img_plot = plot.img_plot("imagedata")[0]
# Tweak some of the plot properties
plot.title = "Abstract Rendering"
plot.padding = 50
return plot
def _create_plot_component():
red = util.Color(255,0,0,255)
green = util.Color(0,255,0,255)
blue = util.Color(0,0,255,255)
purple = util.Color(125,0,255,255)
white = util.Color(255,255,255,255)
black = util.Color(0,0,0,255)
shape = glyphset.ShapeCodes.RECT
glyphs = blzg.load_csv("../data/circlepoints.csv", "x", "y", "series",
schema="{r:float32, theta:float32, x:float32, y:float32, series:int32}")
screen = (800,600)
ivt = util.zoom_fit(screen,glyphs.bounds())
with Timer("Abstract-Render") as arTimer:
image = core.render(glyphs,
infos.val(),
blzg.CountCategories("int32"),
categories.HDAlpha([red, blue, green, purple, black]),
screen,
ivt)
# image = core.render(glyphs,
# infos.valAt(4,0),
# blzg.Count(),
# numeric.BinarySegment(white, black, 1),
# screen,
# ivt)
# Create a plot data object and give it this data
pd = ArrayPlotData()
pd.set_data("imagedata", image)
# Create the plot
plot = Plot(pd)
img_plot = plot.img_plot("imagedata")[0]
# Tweak some of the plot properties
plot.title = "Abstract Rendering"
plot.padding = 50
return plot
