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| import numpy as np
from matplotlib import pyplot as plt
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
fig, ax = plt.subplots(figsize=(9.8,6))
x = np.linspace(0.01,2*np.pi,50)
y = np.sin(x)/np.sqrt(x)
ax.plot(x, y, label="hello")
ax.plot(x, y[::-1], label="world")
line = ax.get_lines()[0]
text = "m1: x1, y1\nm2: x2, y2\nm3: x3, y3"
ax.set_xlim(0, 2*np.pi)
ax.set_ylim(-0.5, 1)
fontsize = 20
legend = ax.legend(
[line],
[text],
loc="best",
handlelength=0,
handletextpad=0,
borderpad=0.3,
fontsize=fontsize,
frameon=True,
borderaxespad=0.15,
facecolor="none",
edgecolor="black",
fancybox=True
)
legend.get_texts()[0].set_verticalalignment("bottom")
FigureCanvas(ax.figure).draw()
xy = legend.get_texts()[0].get_window_extent().transformed(ax.transData.inverted())
legend.remove()
target_text = ax.text(xy.x0, xy.y0, text, fontsize=fontsize, bbox=dict(boxstyle="round,pad=0.3", fc="none"))
FigureCanvas(ax.figure).draw()
bbox_pos = target_text.get_bbox_patch().get_extents().transformed(ax.transData.inverted())
_color = "red"
ax.plot([bbox_pos.x0, bbox_pos.x0], [bbox_pos.y0, bbox_pos.y1], color=_color)
ax.plot([bbox_pos.x1, bbox_pos.x1], [bbox_pos.y0, bbox_pos.y1], color=_color)
ax.plot([bbox_pos.x0, bbox_pos.x1], [bbox_pos.y0, bbox_pos.y0], color=_color)
ax.plot([bbox_pos.x0, bbox_pos.x1], [bbox_pos.y1, bbox_pos.y1], color=_color)
ax.plot([bbox_pos.x0, bbox_pos.x1], [bbox_pos.y0, bbox_pos.y1], color=_color)
ax.plot([bbox_pos.x0, bbox_pos.x1], [bbox_pos.y1, bbox_pos.y0], color=_color)
ax.legend(prop={"size":16})
|
