a4bbb98bf1
- in camlib.py, CNCJob class -> generate_from_excellon_by_tool() was failing in the line to sort the tools due of been unable to compare between dict's. I replaced that section.
96 lines
2.1 KiB
Python
96 lines
2.1 KiB
Python
|
|
import matplotlib
|
|
matplotlib.use('Agg')
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
import io
|
|
from matplotlib.backends.backend_agg import FigureCanvasAgg
|
|
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
|
|
from matplotlib.figure import Figure
|
|
import cProfile
|
|
import sys
|
|
|
|
|
|
def gen_data():
|
|
N = 100000
|
|
x = np.random.rand(N) * 10
|
|
y = np.random.rand(N) * 10
|
|
colors = np.random.rand(N)
|
|
area = np.pi * (15 * np.random.rand(N))**2 # 0 to 15 point radiuses
|
|
data = x, y, area, colors
|
|
return data
|
|
|
|
|
|
# @profile
|
|
def large_plot(data):
|
|
x, y, area, colors = data
|
|
|
|
fig = Figure(figsize=(10, 10), dpi=80)
|
|
axes = fig.add_axes([0.0, 0.0, 1.0, 1.0], alpha=1.0)
|
|
axes.set_frame_on(False)
|
|
axes.set_xticks([])
|
|
axes.set_yticks([])
|
|
# axes.set_xlim(0, 10)
|
|
# axes.set_ylim(0, 10)
|
|
|
|
axes.scatter(x, y, s=area, c=colors, alpha=0.5)
|
|
|
|
axes.set_xlim(0, 10)
|
|
axes.set_ylim(0, 10)
|
|
|
|
canvas = FigureCanvasAgg(fig)
|
|
canvas.draw()
|
|
# canvas = FigureCanvasQTAgg(fig)
|
|
# buf = canvas.tostring_rgb()
|
|
buf = fig.canvas.tostring_rgb()
|
|
|
|
ncols, nrows = fig.canvas.get_width_height()
|
|
img = np.fromstring(buf, dtype=np.uint8).reshape(nrows, ncols, 3)
|
|
|
|
return img
|
|
|
|
|
|
def small_plot(data):
|
|
x, y, area, colors = data
|
|
|
|
fig = Figure(figsize=(3, 3), dpi=80)
|
|
axes = fig.add_axes([0.0, 0.0, 1.0, 1.0], alpha=1.0)
|
|
axes.set_frame_on(False)
|
|
axes.set_xticks([])
|
|
axes.set_yticks([])
|
|
# axes.set_xlim(5, 6)
|
|
# axes.set_ylim(5, 6)
|
|
|
|
axes.scatter(x, y, s=area, c=colors, alpha=0.5)
|
|
|
|
axes.set_xlim(4, 7)
|
|
axes.set_ylim(4, 7)
|
|
|
|
canvas = FigureCanvasAgg(fig)
|
|
canvas.draw()
|
|
# canvas = FigureCanvasQTAgg(fig)
|
|
# buf = canvas.tostring_rgb()
|
|
buf = fig.canvas.tostring_rgb()
|
|
|
|
ncols, nrows = fig.canvas.get_width_height()
|
|
img = np.fromstring(buf, dtype=np.uint8).reshape(nrows, ncols, 3)
|
|
|
|
return img
|
|
|
|
def doit():
|
|
d = gen_data()
|
|
img = large_plot(d)
|
|
return img
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
d = gen_data()
|
|
|
|
if sys.argv[1] == 'large':
|
|
cProfile.runctx('large_plot(d)', None, locals())
|
|
else:
|
|
cProfile.runctx('small_plot(d)', None, locals())
|
|
|
|
|