96 lines
2.1 KiB
Python
96 lines
2.1 KiB
Python
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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import numpy as np
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import io
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from matplotlib.backends.backend_agg import FigureCanvasAgg
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from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
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from matplotlib.figure import Figure
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import cProfile
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import sys
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def gen_data():
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N = 100000
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x = np.random.rand(N) * 10
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y = np.random.rand(N) * 10
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colors = np.random.rand(N)
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area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radiuses
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data = x, y, area, colors
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return data
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# @profile
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def large_plot(data):
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x, y, area, colors = data
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fig = Figure(figsize=(10, 10), dpi=80)
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axes = fig.add_axes([0.0, 0.0, 1.0, 1.0], alpha=1.0)
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axes.set_frame_on(False)
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axes.set_xticks([])
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axes.set_yticks([])
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# axes.set_xlim(0, 10)
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# axes.set_ylim(0, 10)
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axes.scatter(x, y, s=area, c=colors, alpha=0.5)
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axes.set_xlim(0, 10)
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axes.set_ylim(0, 10)
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canvas = FigureCanvasAgg(fig)
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canvas.draw()
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# canvas = FigureCanvasQTAgg(fig)
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# buf = canvas.tostring_rgb()
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buf = fig.canvas.tostring_rgb()
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ncols, nrows = fig.canvas.get_width_height()
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img = np.fromstring(buf, dtype=np.uint8).reshape(nrows, ncols, 3)
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return img
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def small_plot(data):
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x, y, area, colors = data
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fig = Figure(figsize=(3, 3), dpi=80)
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axes = fig.add_axes([0.0, 0.0, 1.0, 1.0], alpha=1.0)
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axes.set_frame_on(False)
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axes.set_xticks([])
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axes.set_yticks([])
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# axes.set_xlim(5, 6)
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# axes.set_ylim(5, 6)
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axes.scatter(x, y, s=area, c=colors, alpha=0.5)
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axes.set_xlim(4, 7)
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axes.set_ylim(4, 7)
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canvas = FigureCanvasAgg(fig)
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canvas.draw()
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# canvas = FigureCanvasQTAgg(fig)
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# buf = canvas.tostring_rgb()
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buf = fig.canvas.tostring_rgb()
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ncols, nrows = fig.canvas.get_width_height()
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img = np.fromstring(buf, dtype=np.uint8).reshape(nrows, ncols, 3)
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return img
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def doit():
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d = gen_data()
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img = large_plot(d)
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return img
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if __name__ == "__main__":
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d = gen_data()
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if sys.argv[1] == 'large':
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cProfile.runctx('large_plot(d)', None, locals())
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else:
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cProfile.runctx('small_plot(d)', None, locals())
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