/usr/lib/python3/dist-packages/mpl_toolkits/axisartist/clip_path.py is in python3-matplotlib 1.5.1-1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
from matplotlib.externals.six.moves import zip
import numpy as np
from math import degrees
import math
import warnings
def atan2(dy, dx):
if dx == 0 and dx == 0:
warnings.warn("dx and dy is 0")
return 0
else:
return math.atan2(dy, dx)
# FIXME : The current algorithm seems to return incorrect angle when the line
# ends at the boundary.
def clip(xlines, ylines, x0, clip="right", xdir=True, ydir=True):
clipped_xlines = []
clipped_ylines = []
_pos_angles = []
if xdir:
xsign = 1
else:
xsign = -1
if ydir:
ysign = 1
else:
ysign = -1
for x, y in zip(xlines, ylines):
if clip in ["up", "right"]:
b = (x < x0).astype("i")
db = b[1:] - b[:-1]
else:
b = (x > x0).astype("i")
db = b[1:] - b[:-1]
if b[0]:
ns = 0
else:
ns = -1
segx, segy = [], []
for (i,) in np.argwhere(db!=0):
c = db[i]
if c == -1:
dx = (x0 - x[i])
dy = (y[i+1] - y[i]) * (dx/ (x[i+1] - x[i]))
y0 = y[i] + dy
clipped_xlines.append(np.concatenate([segx, x[ns:i+1], [x0]]))
clipped_ylines.append(np.concatenate([segy, y[ns:i+1], [y0]]))
ns = -1
segx, segy = [], []
if dx == 0. and dy == 0:
dx = x[i+1] - x[i]
dy = y[i+1] - y[i]
a = degrees(atan2(ysign*dy, xsign*dx))
_pos_angles.append((x0, y0, a))
elif c == 1:
dx = (x0 - x[i])
dy = (y[i+1] - y[i]) * (dx / (x[i+1] - x[i]))
y0 = y[i] + dy
segx, segy = [x0], [y0]
ns = i+1
if dx == 0. and dy == 0:
dx = x[i+1] - x[i]
dy = y[i+1] - y[i]
a = degrees(atan2(ysign*dy, xsign*dx))
_pos_angles.append((x0, y0, a))
#print x[i], x[i+1]
if ns != -1:
clipped_xlines.append(np.concatenate([segx, x[ns:]]))
clipped_ylines.append(np.concatenate([segy, y[ns:]]))
#clipped_pos_angles.append(_pos_angles)
return clipped_xlines, clipped_ylines, _pos_angles
def clip_line_to_rect(xline, yline, bbox):
x0, y0, x1, y1 = bbox.extents
xdir = x1 > x0
ydir = y1 > y0
if x1 > x0:
lx1, ly1, c_right_ = clip([xline], [yline], x1, clip="right", xdir=xdir, ydir=ydir)
lx2, ly2, c_left_ = clip(lx1, ly1, x0, clip="left", xdir=xdir, ydir=ydir)
else:
lx1, ly1, c_right_ = clip([xline], [yline], x0, clip="right", xdir=xdir, ydir=ydir)
lx2, ly2, c_left_ = clip(lx1, ly1, x1, clip="left", xdir=xdir, ydir=ydir)
if y1 > y0:
ly3, lx3, c_top_ = clip(ly2, lx2, y1, clip="right", xdir=ydir, ydir=xdir)
ly4, lx4, c_bottom_ = clip(ly3, lx3, y0, clip="left", xdir=ydir, ydir=xdir)
else:
ly3, lx3, c_top_ = clip(ly2, lx2, y0, clip="right", xdir=ydir, ydir=xdir)
ly4, lx4, c_bottom_ = clip(ly3, lx3, y1, clip="left", xdir=ydir, ydir=xdir)
# lx1, ly1, c_right_ = clip([xline], [yline], x1, clip="right")
# lx2, ly2, c_left_ = clip(lx1, ly1, x0, clip="left")
# ly3, lx3, c_top_ = clip(ly2, lx2, y1, clip="right")
# ly4, lx4, c_bottom_ = clip(ly3, lx3, y0, clip="left")
#c_left = [((x, y), (a+90)%180-180) for (x, y, a) in c_left_ \
# if bbox.containsy(y)]
c_left = [((x, y), (a+90)%180-90) for (x, y, a) in c_left_ \
if bbox.containsy(y)]
c_bottom = [((x, y), (90 - a)%180) for (y, x, a) in c_bottom_ \
if bbox.containsx(x)]
c_right = [((x, y), (a+90)%180+90) for (x, y, a) in c_right_ \
if bbox.containsy(y)]
c_top = [((x, y), (90 - a)%180+180) for (y, x, a) in c_top_ \
if bbox.containsx(x)]
return list(zip(lx4, ly4)), [c_left, c_bottom, c_right, c_top]
if __name__ == "__main__":
import matplotlib.pyplot as plt
x = np.array([-3, -2, -1, 0., 1, 2, 3, 2, 1, 0, -1, -2, -3, 5])
#x = np.array([-3, -2, -1, 0., 1, 2, 3])
y = np.arange(len(x))
#x0 = 2
plt.plot(x, y, lw=1)
from matplotlib.transforms import Bbox
bb = Bbox.from_extents(-2, 3, 2, 12.5)
lxy, ticks = clip_line_to_rect(x, y, bb)
for xx, yy in lxy:
plt.plot(xx, yy, lw=1, color="g")
ccc = iter(["ro", "go", "rx", "bx"])
for ttt in ticks:
cc = six.next(ccc)
for (xx, yy), aa in ttt:
plt.plot([xx], [yy], cc)
#xlim(
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