六边形瓦片#
六边形瓦片字形#
Bokeh 可以绘制六边形瓦片，您可以使用它来显示分箱聚合等。hex_tile() 方法接受一个 size 参数来定义六边形网格的大小，并使用轴向坐标来指定瓦片。
import numpy as np
from bokeh.plotting import figure, show
from bokeh.util.hex import axial_to_cartesian
q = np.array([0, 0, 0, -1, -1, 1, 1])
r = np.array([0, -1, 1, 0, 1, -1, 0])
p = figure(width=400, height=400, toolbar_location=None)
p.grid.visible = False
p.hex_tile(q, r, size=1, fill_color=["firebrick"]*3 + ["navy"]*4,
line_color="white", alpha=0.5)
x, y = axial_to_cartesian(q, r, 1, "pointytop")
p.text(x, y, text=[f"({q}, {r})" for (q, r) in zip(q, r)],
text_baseline="middle", text_align="center")
show(p)
六边形分箱#
下面的更实际的示例使用 hexbin() 函数计算每个箱的计数，并绘制颜色映射的计数。
import numpy as np
from bokeh.models import HoverTool
from bokeh.plotting import figure, show
n = 500
x = 2 + 2*np.random.standard_normal(n)
y = 2 + 2*np.random.standard_normal(n)
p = figure(title="Hexbin for 500 points", match_aspect=True,
tools="wheel_zoom,reset", background_fill_color='#440154')
p.grid.visible = False
r, bins = p.hexbin(x, y, size=0.5, hover_color="pink", hover_alpha=0.8)
p.scatter(x, y, color="white", size=1)
p.add_tools(HoverTool(
tooltips=[("count", "@c"), ("(q,r)", "(@q, @r)")],
mode="mouse", point_policy="follow_mouse", renderers=[r],
))
show(p)