def test(self):
info = infos.valAt(3, "Nothing")
self.assertTrue(callable(info))
self.assertEqual(3, info([0, 1, 2, 3]))
self.assertEqual("three", info(["zero", "one", "two", "three"]))
self.assertEqual("Nothing", info(None))
def test(self):
info = infos.valAt(3, "Nothing")
self.assertTrue(callable(info))
self.assertEqual(3, info([0, 1, 2, 3]))
self.assertEqual("three", info(["zero", "one", "two", "three"]))
self.assertEqual("Nothing", 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)
white = util.Color(255,255,255,255)
black = util.Color(0,0,0,255)
shape = glyphset.ShapeCodes.POINT
#glyphs = glyphset.load_csv("../data/checkerboard.csv", 2, 0, 1, 3,1,1, shape)
#glyphs = glyphset.load_csv("../data/circlepoints.csv", 1, 2, 3, 4,.1,.1, shape)
#glyphs = glyphset.load_csv("../data/sourceforge.csv", 1, 1, 2, -1,.1,.1, shape)
glyphs = glyphset.load_hdf("../data/CensusTracts.hdf5", "__data__", "LON", "LAT", None, .1, .1, shape)
#glyphs = glyphset.load_hdf("../data/tweets-subset.hdf", "test", "longitude", "latitude", None, .1, .1, shape)
screen = (800,600)
ivt = util.zoom_fit(screen,glyphs.bounds())
with Timer("Abstract-Render") as arTimer:
# image = core.render(glyphs,
# infos.val(),
# categories.CountCategories(),
# categories.HDAlpha([red, blue]),
# screen,
# ivt)
image = core.render(glyphs,
infos.valAt(4,0),
numeric.Count(),
numeric.BinarySegment(white, black, 1),
screen,
ivt)
print("screen x image -- {0} x {1}".format(screen, image.shape))
# 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