python100天95画丰富的形状图。FancyBboxPatch
Matplotlib绘制精美的盒子
import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms import matplotlib.patches as mpatch from matplotlib.patches import FancyBboxPatchstyles = mpatch.BoxStyle.get_styles() spacing = 1.2 figheight = (spacing * len(styles) + .5) fig1 = plt.figure(1, (4 / 1.5, figheight / 1.5)) fontsize = 0.3 * 72 for i, stylename in enumerate(sorted(styles)): fig1.text(0.5, (spacing * (len(styles) - i) - 0.5) / figheight, stylename, ha="center", size=fontsize, transform=fig1.transFigure, bbox=dict(boxstyle=stylename, fc="w", ec="k")) plt.show()
可以看到这样一些常用 的盒子开头
显示更多 的盒子# Bbox object around which the fancy box will be drawn. bb = mtransforms.Bbox([[0.3, 0.4], [0.7, 0.6]]) def draw_bbox(ax, bb): # boxstyle=square with pad=0, i.e. bbox itself. p_bbox = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="square,pad=0.", ec="k", fc="none", zorder=10., ) ax.add_patch(p_bbox) def test1(ax): # a fancy box with round corners. pad=0.1 p_fancy = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="round,pad=0.1", fc=(1., .8, 1.), ec=(1., 0.5, 1.)) ax.add_patch(p_fancy) ax.text(0.1, 0.8, r" boxstyle="round,pad=0.1"", size=10, transform=ax.transAxes) # draws control points for the fancy box. # l = p_fancy.get_path().vertices # ax.plot(l[:,0], l[:,1], ".") # draw the original bbox in black draw_bbox(ax, bb) def test2(ax): # bbox=round has two optional argument. pad and rounding_size. # They can be set during the initialization. p_fancy = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="round,pad=0.1", fc=(1., .8, 1.), ec=(1., 0.5, 1.)) ax.add_patch(p_fancy) # boxstyle and its argument can be later modified with # set_boxstyle method. Note that the old attributes are simply # forgotten even if the boxstyle name is same. p_fancy.set_boxstyle("round,pad=0.1, rounding_size=0.2") # or # p_fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2) ax.text(0.1, 0.8, " boxstyle="round,pad=0.1 rounding_size=0.2"", size=10, transform=ax.transAxes) # draws control points for the fancy box. # l = p_fancy.get_path().vertices # ax.plot(l[:,0], l[:,1], ".") draw_bbox(ax, bb) def test3(ax): p_fancy = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="round,pad=0.1", mutation_scale=2., fc=(1., .8, 1.), ec=(1., 0.5, 1.)) ax.add_patch(p_fancy) ax.text(0.1, 0.8, " boxstyle="round,pad=0.1" mutation_scale=2", size=10, transform=ax.transAxes) # draws control points for the fancy box. # l = p_fancy.get_path().vertices # ax.plot(l[:,0], l[:,1], ".") draw_bbox(ax, bb) def test4(ax): # When the aspect ratio of the axes is not 1, the fancy box may # not be what you expected (green) p_fancy = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="round,pad=0.2", fc="none", ec=(0., .5, 0.), zorder=4) ax.add_patch(p_fancy) # You can compensate this by setting the mutation_aspect (pink). p_fancy = FancyBboxPatch((bb.xmin, bb.ymin), abs(bb.width), abs(bb.height), boxstyle="round,pad=0.3", mutation_aspect=.5, fc=(1., 0.8, 1.), ec=(1., 0.5, 1.)) ax.add_patch(p_fancy) ax.text(0.1, 0.8, " boxstyle="round,pad=0.3" mutation_aspect=.5", size=10, transform=ax.transAxes) draw_bbox(ax, bb) def test_all(): plt.clf() ax = plt.subplot(2, 2, 1) test1(ax) ax.set_xlim(0., 1.) ax.set_ylim(0., 1.) ax.set_title("test1") ax.set_aspect(1.) ax = plt.subplot(2, 2, 2) ax.set_title("test2") test2(ax) ax.set_xlim(0., 1.) ax.set_ylim(0., 1.) ax.set_aspect(1.) ax = plt.subplot(2, 2, 3) ax.set_title("test3") test3(ax) ax.set_xlim(0., 1.) ax.set_ylim(0., 1.) ax.set_aspect(1) ax = plt.subplot(2, 2, 4) ax.set_title("test4") test4(ax) ax.set_xlim(-0.5, 1.5) ax.set_ylim(0., 1.) ax.set_aspect(2.) plt.show() test_all()