繪製花式框

以下範例示範如何繪製具有不同視覺屬性的框 (FancyBboxPatch)。

import inspect

import matplotlib.pyplot as plt

import matplotlib.patches as mpatch
from matplotlib.patches import FancyBboxPatch
import matplotlib.transforms as mtransforms

框樣式

FancyBboxPatch 支援不同的 BoxStyle。 請注意，text 允許透過加入 bbox 參數在文字周圍繪製方塊。 因此，在以下範例中，您不會看到明確的 FancyBboxPatch 和 BoxStyle 呼叫。

styles = mpatch.BoxStyle.get_styles()
ncol = 2
nrow = (len(styles) + 1) // ncol
axs = (plt.figure(figsize=(3 * ncol, 1 + nrow))
       .add_gridspec(1 + nrow, ncol, wspace=.5).subplots())
for ax in axs.flat:
    ax.set_axis_off()
for ax in axs[0, :]:
    ax.text(.2, .5, "boxstyle",
            transform=ax.transAxes, size="large", color="tab:blue",
            horizontalalignment="right", verticalalignment="center")
    ax.text(.4, .5, "default parameters",
            transform=ax.transAxes,
            horizontalalignment="left", verticalalignment="center")
for ax, (stylename, stylecls) in zip(axs[1:, :].T.flat, styles.items()):
    ax.text(.2, .5, stylename, bbox=dict(boxstyle=stylename, fc="w", ec="k"),
            transform=ax.transAxes, size="large", color="tab:blue",
            horizontalalignment="right", verticalalignment="center")
    ax.text(.4, .5, str(inspect.signature(stylecls))[1:-1].replace(", ", "\n"),
            transform=ax.transAxes,
            horizontalalignment="left", verticalalignment="center")

修改框的參數

BoxStyle 具有用於配置其外觀的其他參數。例如，"round" 框可以有 pad 和 rounding。

此外，FancyBboxPatch 參數 mutation_scale 和 mutation_aspect 可以縮放框的外觀。

def add_fancy_patch_around(ax, bb, **kwargs):
    kwargs = {
        'facecolor': (1, 0.8, 1, 0.5),
        'edgecolor': (1, 0.5, 1, 0.5),
        **kwargs
    }
    fancy = FancyBboxPatch(bb.p0, bb.width, bb.height, **kwargs)
    ax.add_patch(fancy)
    return fancy


def draw_control_points_for_patches(ax):
    for patch in ax.patches:
        patch.axes.plot(*patch.get_path().vertices.T, ".",
                        c=patch.get_edgecolor())


fig, axs = plt.subplots(2, 2, figsize=(8, 8))

# Bbox object around which the fancy box will be drawn.
bb = mtransforms.Bbox([[0.3, 0.4], [0.7, 0.6]])

ax = axs[0, 0]
# a fancy box with round corners. pad=0.1
add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1")
ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
       title='boxstyle="round,pad=0.1"')

ax = axs[0, 1]
# bbox=round has two optional arguments: pad and rounding_size.
# They can be set during the initialization.
fancy = add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1")
# The boxstyle and its argument can be later modified with set_boxstyle().
# Note that the old attributes are simply forgotten even if the boxstyle name
# is same.
fancy.set_boxstyle("round,pad=0.1,rounding_size=0.2")
# or: fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
       title='boxstyle="round,pad=0.1,rounding_size=0.2"')

ax = axs[1, 0]
# mutation_scale determines the overall scale of the mutation, i.e. both pad
# and rounding_size is scaled according to this value.
add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1", mutation_scale=2)
ax.set(xlim=(0, 1), ylim=(0, 1), aspect=1,
       title='boxstyle="round,pad=0.1"\n mutation_scale=2')

ax = axs[1, 1]
# mutation_aspect scales the vertical influence of the parameters (technically,
# it scales the height of the box down by mutation_aspect, applies the box parameters
# and scales the result back up). In effect, the vertical pad is scaled to
# pad * mutation_aspect, e.g. mutation_aspect=0.5 halves the vertical pad.
add_fancy_patch_around(ax, bb, boxstyle="round,pad=0.1", mutation_aspect=0.5)
ax.set(xlim=(0, 1), ylim=(0, 1),
       title='boxstyle="round,pad=0.1"\nmutation_aspect=0.5')

for ax in axs.flat:
    draw_control_points_for_patches(ax)
    # Draw the original bbox (using boxstyle=square with pad=0).
    add_fancy_patch_around(ax, bb, boxstyle="square,pad=0",
                           edgecolor="black", facecolor="none", zorder=10)

fig.tight_layout()


plt.show()

在非等縱橫比的座標軸上建立視覺上恆定的邊距

由於邊距是以框座標表示，也就是通常的資料座標，如果座標軸縱橫比不為 1，則給定的邊距會呈現為不同的視覺大小。若要取得視覺上相等的垂直和水平邊距，請將 mutation_aspect 設定為座標軸縱橫比的倒數。這會適當地縮放垂直邊距。

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6.5, 5))

# original boxes
bb = mtransforms.Bbox([[-0.5, -0.5], [0.5, 0.5]])
add_fancy_patch_around(ax1, bb, boxstyle="square,pad=0",
                       edgecolor="black", facecolor="none", zorder=10)
add_fancy_patch_around(ax2, bb, boxstyle="square,pad=0",
                       edgecolor="black", facecolor="none", zorder=10)
ax1.set(xlim=(-1.5, 1.5), ylim=(-1.5, 1.5), aspect=2)
ax2.set(xlim=(-1.5, 1.5), ylim=(-1.5, 1.5), aspect=2)


fancy = add_fancy_patch_around(
    ax1, bb, boxstyle="round,pad=0.5")
ax1.set_title("aspect=2\nmutation_aspect=1")

fancy = add_fancy_patch_around(
    ax2, bb, boxstyle="round,pad=0.5", mutation_aspect=0.5)
ax2.set_title("aspect=2\nmutation_aspect=0.5")

參考資料

此範例中顯示了下列函數、方法、類別和模組的使用方式

• matplotlib.patches

• matplotlib.patches.FancyBboxPatch

• matplotlib.patches.BoxStyle

• matplotlib.patches.BoxStyle.get_styles

• matplotlib.transforms.Bbox

• matplotlib.figure.Figure.text

• matplotlib.axes.Axes.text