| | """ |
| | ========== |
| | 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]] |
| | ax.imshow(background_gradient, interpolation="bicubic", zorder=0.1, |
| | extent=(0, 1, 0, 1), transform=ax.transAxes) |
| |
|
| | plt.show() |
| |
|
| |
|
| | main() |
| |
|
