| """ |
| ========== |
| 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() |
|
|
