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pylab_examples_Examples 58_demo_ribbon_box. |
H.Kamifuji . |
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この事例は、Windows10_1909 で Python 3.9.0 環境では、動作しません。( from matplotlib._png import read_png が削除されたのか? )
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.image import BboxImage
from matplotlib._png import read_png
import matplotlib.colors
from matplotlib.cbook import get_sample_data
class RibbonBox(object):
original_image = read_png(get_sample_data("Minduka_Present_Blue_Pack.png",
asfileobj=False))
cut_location = 70
b_and_h = original_image[:, :, 2]
color = original_image[:, :, 2] - original_image[:, :, 0]
alpha = original_image[:, :, 3]
nx = original_image.shape[1]
def __init__(self, color):
rgb = matplotlib.colors.to_rgba(color)[:3]
im = np.empty(self.original_image.shape,
self.original_image.dtype)
im[:, :, :3] = self.b_and_h[:, :, np.newaxis]
im[:, :, :3] -= self.color[:, :, np.newaxis]*(1. - np.array(rgb))
im[:, :, 3] = self.alpha
self.im = im
def get_stretched_image(self, stretch_factor):
stretch_factor = max(stretch_factor, 1)
ny, nx, nch = self.im.shape
ny2 = int(ny*stretch_factor)
stretched_image = np.empty((ny2, nx, nch),
self.im.dtype)
cut = self.im[self.cut_location, :, :]
stretched_image[:, :, :] = cut
stretched_image[:self.cut_location, :, :] = \
self.im[:self.cut_location, :, :]
stretched_image[-(ny - self.cut_location):, :, :] = \
self.im[-(ny - self.cut_location):, :, :]
self._cached_im = stretched_image
return stretched_image
class RibbonBoxImage(BboxImage):
zorder = 1
def __init__(self, bbox, color,
cmap=None,
norm=None,
interpolation=None,
origin=None,
filternorm=1,
filterrad=4.0,
resample=False,
**kwargs
):
BboxImage.__init__(self, bbox,
cmap=cmap,
norm=norm,
interpolation=interpolation,
origin=origin,
filternorm=filternorm,
filterrad=filterrad,
resample=resample,
**kwargs
)
self._ribbonbox = RibbonBox(color)
self._cached_ny = None
def draw(self, renderer, *args, **kwargs):
bbox = self.get_window_extent(renderer)
stretch_factor = bbox.height / bbox.width
ny = int(stretch_factor*self._ribbonbox.nx)
if self._cached_ny != ny:
arr = self._ribbonbox.get_stretched_image(stretch_factor)
self.set_array(arr)
self._cached_ny = ny
BboxImage.draw(self, renderer, *args, **kwargs)
if 1:
from matplotlib.transforms import Bbox, TransformedBbox
from matplotlib.ticker import ScalarFormatter
fig, ax = plt.subplots()
years = np.arange(2004, 2009)
box_colors = [(0.8, 0.2, 0.2),
(0.2, 0.8, 0.2),
(0.2, 0.2, 0.8),
(0.7, 0.5, 0.8),
(0.3, 0.8, 0.7),
]
heights = np.random.random(years.shape) * 7000 + 3000
fmt = ScalarFormatter(useOffset=False)
ax.xaxis.set_major_formatter(fmt)
for year, h, bc in zip(years, heights, box_colors):
bbox0 = Bbox.from_extents(year - 0.4, 0., year + 0.4, h)
bbox = TransformedBbox(bbox0, ax.transData)
rb_patch = RibbonBoxImage(bbox, bc, interpolation="bicubic")
ax.add_artist(rb_patch)
ax.annotate(r"%d" % (int(h/100.)*100),
(year, h), va="bottom", ha="center")
patch_gradient = BboxImage(ax.bbox,
interpolation="bicubic",
zorder=0.1,
)
gradient = np.zeros((2, 2, 4), dtype=np.float)
gradient[:, :, :3] = [1, 1, 0.]
gradient[:, :, 3] = [[0.1, 0.3], [0.3, 0.5]] # alpha channel
patch_gradient.set_array(gradient)
ax.add_artist(patch_gradient)
ax.set_xlim(years[0] - 0.5, years[-1] + 0.5)
ax.set_ylim(0, 10000)
fig.savefig('ribbon_box.png')
plt.show()
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![]() Python 3.11.2 見直しました。上記のコードでは、下記のエラーが発生します。 Traceback (most recent call last): File "_:\demo_ribbon_box.py", line 5, in <module> from matplotlib._png import read_png ModuleNotFoundError: No module named 'matplotlib._png' matplotlib 内部のエラーのようです。matplotlib の改修(先祖帰りバグの改修)を待つしかない。 Python 3.11.6 (matplotlib 3.7.1) では、下記のようなエラーがあり、実行できない。 Traceback (most recent call last): File "M:\______\demo_ribbon_box.py", line 5, inPython 3.12.0 (matplotlib 3.8.1) では、下記のようなエラーがあり、実行できない。 Traceback (most recent call last): File "E:\______\demo_ribbon_box.py", line 5, inPython 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) で、見直し中、新しいサンプル(misc-demo-ribbon-box-py) を見つけ、下記のコードで、正常に実行できました。
"""
==========
Ribbon Box
==========
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cbook
from matplotlib import colors as mcolors
from matplotlib.image import AxesImage
from matplotlib.transforms import Bbox, BboxTransformTo, TransformedBbox
class RibbonBox:
original_image = plt.imread(
cbook.get_sample_data("Minduka_Present_Blue_Pack.png"))
cut_location = 70
b_and_h = original_image[:, :, 2:3]
color = original_image[:, :, 2:3] - original_image[:, :, 0:1]
alpha = original_image[:, :, 3:4]
nx = original_image.shape[1]
def __init__(self, color):
rgb = mcolors.to_rgb(color)
self.im = np.dstack(
[self.b_and_h - self.color * (1 - np.array(rgb)), self.alpha])
def get_stretched_image(self, stretch_factor):
stretch_factor = max(stretch_factor, 1)
ny, nx, nch = self.im.shape
ny2 = int(ny*stretch_factor)
return np.vstack(
[self.im[:self.cut_location],
np.broadcast_to(
self.im[self.cut_location], (ny2 - ny, nx, nch)),
self.im[self.cut_location:]])
class RibbonBoxImage(AxesImage):
zorder = 1
def __init__(self, ax, bbox, color, *, extent=(0, 1, 0, 1), **kwargs):
super().__init__(ax, extent=extent, **kwargs)
self._bbox = bbox
self._ribbonbox = RibbonBox(color)
self.set_transform(BboxTransformTo(bbox))
def draw(self, renderer, *args, **kwargs):
stretch_factor = self._bbox.height / self._bbox.width
ny = int(stretch_factor*self._ribbonbox.nx)
if self.get_array() is None or self.get_array().shape[0] != ny:
arr = self._ribbonbox.get_stretched_image(stretch_factor)
self.set_array(arr)
super().draw(renderer, *args, **kwargs)
def main():
fig, ax = plt.subplots()
years = np.arange(2004, 2009)
heights = [7900, 8100, 7900, 6900, 2800]
box_colors = [
(0.8, 0.2, 0.2),
(0.2, 0.8, 0.2),
(0.2, 0.2, 0.8),
(0.7, 0.5, 0.8),
(0.3, 0.8, 0.7),
]
for year, h, bc in zip(years, heights, box_colors):
bbox0 = Bbox.from_extents(year - 0.4, 0., year + 0.4, h)
bbox = TransformedBbox(bbox0, ax.transData)
ax.add_artist(RibbonBoxImage(ax, bbox, bc, interpolation="bicubic"))
ax.annotate(str(h), (year, h), va="bottom", ha="center")
ax.set_xlim(years[0] - 0.5, years[-1] + 0.5)
ax.set_ylim(0, 10000)
background_gradient = np.zeros((2, 2, 4))
background_gradient[:, :, :3] = [1, 1, 0]
background_gradient[:, :, 3] = [[0.1, 0.3], [0.3, 0.5]] # alpha channel
ax.imshow(background_gradient, interpolation="bicubic", zorder=0.1,
extent=(0, 1, 0, 1), transform=ax.transAxes)
plt.show()
main()
Python 3.11.6 (matplotlib 3.7.1) では、質の悪い無限ループに陥る。カーソルもキーボードも認識せず、ハードリセット(電源長押し)するしか.....Python 3.12.0 (matplotlib 3.8.1) では、正常実行です。 ![]() |
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pylab_examples_Examples code: demo_ribbon_box.py misc-demo-ribbon-box-py |
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