perturb_bimodal_distrib_using_noise.ipynb

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    {
     "data": {
      "text/plain": [
       "\"/Users/siida/workplace/perturbed.pdf\""
      ]
     },
     "execution_count": 17,
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   "source": [
    "using Distributions\n",
    "using Plots\n",
    "     \n",
    "Np = 25 # the number of perturbation\n",
    "n_samples = 5000\n",
    "dist1 = Normal(-5, 1)\n",
    "dist2 = Normal(5, 1)\n",
    "mixture = MixtureModel(Normal[dist1, dist2], [0.5,0.5])\n",
    "xs = rand(mixture, n_samples)\n",
    "bins = -100:2.0:100\n",
    "p = histogram(xs, title=\"Original\", bins=bins)\n",
    "ps = [p]\n",
    "for i in 1:Np\n",
    "    ϵ = rand(Normal(0,1), n_samples)\n",
    "    xs = xs + ϵ\n",
    "    if i % 5==0\n",
    "        push!(ps, histogram(xs, bins=bins, title=\"$(i)\"))\n",
    "    end\n",
    "end\n",
    "all = plot(ps..., legend=false, size=(800,600))\n",
    "xlims!(-100,100)\n",
    "ylims!(0, 1700)\n",
    "#savefig(all, \"perturbed.pdf\")"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "dde6cd75",
   "metadata": {},
   "outputs": [],
   "source": []
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