In [1]:
push!(LOAD_PATH, "$(pwd())/../src"); using PyPlot, StatsBase, Distributions, StochasticProcesses;

In [2]:
let t=linspace(0,1,1000)
    plot(t, cumsim(BrownianBridge(), t, 1000), color=(0, 0, 0, .01))
end


Out[2]:
1000-element Array{Any,1}:
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796518>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796780>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796978>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796b70>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796d68>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86796f60>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679c198>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679c390>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679c588>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679c780>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679c978>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679cb70>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a8679cd68>
 ⋮                                                          
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd0208>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd0400>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd05f8>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd07f0>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd09e8>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd0be0>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd0dd8>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd0fd0>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd3208>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd3400>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd35f8>
 PyObject <matplotlib.lines.Line2D object at 0x7f4a86cd37f0>

In [ ]: