/usr/lib/python2.7/dist-packages/cartopy/examples/un_flag.py is in python-cartopy 0.14.2+dfsg1-2build3.
This file is owned by root:root, with mode 0o644.
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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 | __tags__ = ['Miscellanea']
import cartopy.crs as ccrs
import cartopy.feature
import matplotlib.pyplot as plt
from matplotlib.patches import PathPatch
import matplotlib.path
import matplotlib.ticker
from matplotlib.transforms import BboxTransform, Bbox
import numpy as np
# When drawing the flag, we can either use white filled land, or be a little
# more fancy and use the Natural Earth shaded relief imagery.
filled_land = True
def olive_path():
"""
Returns a matplotlib path representing a single olive branch from the
UN Flag. The path coordinates were extracted from the SVG at
https://commons.wikimedia.org/wiki/File:Flag_of_the_United_Nations.svg.
"""
olives_verts = np.array(
[[0, 2, 6, 9, 30, 55, 79, 94, 104, 117, 134, 157, 177,
188, 199, 207, 191, 167, 149, 129, 109, 87, 53, 22, 0, 663,
245, 223, 187, 158, 154, 150, 146, 149, 154, 158, 181, 184, 197,
181, 167, 153, 142, 129, 116, 119, 123, 127, 151, 178, 203, 220,
237, 245, 663, 280, 267, 232, 209, 205, 201, 196, 196, 201, 207,
211, 224, 219, 230, 220, 212, 207, 198, 195, 176, 197, 220, 239,
259, 277, 280, 663, 295, 293, 264, 250, 247, 244, 240, 240, 243,
244, 249, 251, 250, 248, 242, 245, 233, 236, 230, 228, 224, 222,
234, 249, 262, 275, 285, 291, 295, 296, 295, 663, 294, 293, 292,
289, 294, 277, 271, 269, 268, 265, 264, 264, 264, 272, 260, 248,
245, 243, 242, 240, 243, 245, 247, 252, 256, 259, 258, 257, 258,
267, 285, 290, 294, 297, 294, 663, 285, 285, 277, 266, 265, 265,
265, 277, 266, 268, 269, 269, 269, 268, 268, 267, 267, 264, 248,
235, 232, 229, 228, 229, 232, 236, 246, 266, 269, 271, 285, 285,
663, 252, 245, 238, 230, 246, 245, 250, 252, 255, 256, 256, 253,
249, 242, 231, 214, 208, 208, 227, 244, 252, 258, 262, 262, 261,
262, 264, 265, 252, 663, 185, 197, 206, 215, 223, 233, 242, 237,
237, 230, 220, 202, 185, 663],
[8, 5, 3, 0, 22, 46, 46, 46, 35, 27, 16, 10, 18,
22, 28, 38, 27, 26, 33, 41, 52, 52, 52, 30, 8, 595,
77, 52, 61, 54, 53, 52, 53, 55, 55, 57, 65, 90, 106,
96, 81, 68, 58, 54, 51, 50, 51, 50, 44, 34, 43, 48,
61, 77, 595, 135, 104, 102, 83, 79, 76, 74, 74, 79, 84,
90, 109, 135, 156, 145, 133, 121, 100, 77, 62, 69, 67, 80,
92, 113, 135, 595, 198, 171, 156, 134, 129, 124, 120, 123, 126,
129, 138, 149, 161, 175, 188, 202, 177, 144, 116, 110, 105, 99,
108, 116, 126, 136, 147, 162, 173, 186, 198, 595, 249, 255, 261,
267, 241, 222, 200, 192, 183, 175, 175, 175, 175, 199, 221, 240,
245, 250, 256, 245, 233, 222, 207, 194, 180, 172, 162, 153, 154,
171, 184, 202, 216, 233, 249, 595, 276, 296, 312, 327, 327, 327,
327, 308, 284, 262, 240, 240, 239, 239, 242, 244, 247, 265, 277,
290, 293, 296, 300, 291, 282, 274, 253, 236, 213, 235, 252, 276,
595, 342, 349, 355, 357, 346, 326, 309, 303, 297, 291, 290, 297,
304, 310, 321, 327, 343, 321, 305, 292, 286, 278, 270, 276, 281,
287, 306, 328, 342, 595, 379, 369, 355, 343, 333, 326, 318, 328,
340, 349, 366, 373, 379, 595]]).T
olives_codes = np.array([1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 79, 1, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 79, 1, 4, 4, 4, 4, 4, 4, 2, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 79, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 79, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4,
4, 4, 4, 4, 4, 79, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4,
2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 79, 1, 4, 4, 4, 4, 4, 4, 4, 4,
4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 79, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 79], dtype=np.uint8)
return matplotlib.path.Path(olives_verts, olives_codes)
def main():
blue = '#4b92db'
# We're drawing a flag with a 3:5 aspect ratio.
fig = plt.figure(figsize=[10, 6], facecolor=blue)
# Put a blue background on the figure.
blue_background = PathPatch(matplotlib.path.Path.unit_rectangle(),
transform=fig.transFigure, color=blue,
zorder=-1)
fig.patches.append(blue_background)
# Set up the Azimuthal Equidistant and Plate Carree projections
# for later use.
az_eq = ccrs.AzimuthalEquidistant(central_latitude=90)
pc = ccrs.PlateCarree()
# Pick a suitable location for the map (which is in an Azimuthal
# Equidistant projection).
ax = plt.axes([0.25, 0.24, 0.5, 0.54], projection=az_eq)
# The background patch and outline patch are not needed in this example.
ax.background_patch.set_facecolor('none')
ax.outline_patch.set_edgecolor('none')
# We want the map to go down to -60 degrees latitude.
ax.set_extent([-180, 180, -60, 90], ccrs.PlateCarree())
# Importantly, we want the axes to be circular at the -60 latitude
# rather than cartopy's default behaviour of zooming in and becoming
# square.
_, patch_radius = az_eq.transform_point(0, -60, pc)
circular_path = matplotlib.path.Path.circle(0, patch_radius)
ax.set_boundary(circular_path)
if filled_land:
ax.add_feature(
cartopy.feature.LAND, facecolor='white', edgecolor='none')
else:
ax.stock_img()
gl = ax.gridlines(crs=pc, linewidth=3, color='white', linestyle='-')
# Meridians every 45 degrees, and 5 parallels.
gl.xlocator = matplotlib.ticker.FixedLocator(np.arange(0, 361, 45))
parallels = np.linspace(-60, 70, 5, endpoint=True)
gl.ylocator = matplotlib.ticker.FixedLocator(parallels)
# Now add the olive branches around the axes. We do this in normalised
# figure coordinates
olive_leaf = olive_path()
olives_bbox = Bbox.null()
olives_bbox.update_from_path(olive_leaf)
# The first olive branch goes from left to right.
olive1_axes_bbox = Bbox([[0.45, 0.15], [0.725, 0.75]])
olive1_trans = BboxTransform(olives_bbox, olive1_axes_bbox)
# THe second olive branch goes from right to left (mirroring the first).
olive2_axes_bbox = Bbox([[0.55, 0.15], [0.275, 0.75]])
olive2_trans = BboxTransform(olives_bbox, olive2_axes_bbox)
olive1 = PathPatch(olive_leaf, facecolor='white', edgecolor='none',
transform=olive1_trans + fig.transFigure)
olive2 = PathPatch(olive_leaf, facecolor='white', edgecolor='none',
transform=olive2_trans + fig.transFigure)
fig.patches.append(olive1)
fig.patches.append(olive2)
plt.show()
if __name__ == '__main__':
main()
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