logplot.py¶
A log plot using functions with different growth rates. This example demonstrates using a log axis on a Bokeh plot. Various line styles and glyph combinations are automatically added to a legend.
Details
- Bokeh APIs
- More info
- Keywords
lines, legend, log scale, scatter
import numpy as np
from bokeh.plotting import figure, show
x = np.linspace(0.1, 5, 80)
p = figure(title="log axis example", y_axis_type="log",
x_range=(0, 5), y_range=(0.001, 10**22),
background_fill_color="#fafafa")
p.line(x, np.sqrt(x), legend_label="y=sqrt(x)",
line_color="tomato", line_dash="dashed")
p.line(x, x, legend_label="y=x")
p.scatter(x, x, legend_label="y=x")
p.line(x, x**2, legend_label="y=x**2")
p.scatter(x, x**2, legend_label="y=x**2",
fill_color=None, line_color="olivedrab")
p.line(x, 10**x, legend_label="y=10^x",
line_color="gold", line_width=2)
p.line(x, x**x, legend_label="y=x^x",
line_dash="dotted", line_color="indigo", line_width=2)
p.line(x, 10**(x**2), legend_label="y=10^(x^2)",
line_color="coral", line_dash="dotdash", line_width=2)
p.legend.location = "top_left"
show(p)