{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A sample of plots\n", "\n", "The idea of this notebook is to show off a number of plot types, and act as a simple check of the plotting output. It requires `matplotlib` and does not attempt to describe the plots (see the help for the plot constructor for this!)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from sherpa import data\n", "from sherpa.astro import data as astrodata\n", "\n", "from sherpa import plot\n", "from sherpa.astro import plot as astroplot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## One dimensional data plots" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x1 = [100, 200, 600, 1200]\n", "y1 = [2000, 2100, 1400, 3050]\n", "\n", "d1 = data.Data1D('oned', x1, y1)\n", "\n", "plot1 = plot.DataPlot()\n", "plot1.prepare(d1)\n", "plot1.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can have some fun with the plot options (these are a mixture of generic options, such as `xlog`, and ones specific to the plotting backend - which here is `matplotlib` - such as `marker`)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot1.plot(xlog=True, linestyle='dotted', marker='*', markerfacecolor='orange', markersize=20, color='black')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The plot object contains the preferences - here we look at the default plot settings. Note that some plot types have different - and even multiple - preference settings." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'xlog': False,\n", " 'ylog': False,\n", " 'label': None,\n", " 'xerrorbars': False,\n", " 'yerrorbars': True,\n", " 'color': None,\n", " 'linestyle': 'None',\n", " 'linewidth': None,\n", " 'marker': '.',\n", " 'alpha': None,\n", " 'markerfacecolor': None,\n", " 'markersize': None,\n", " 'ecolor': None,\n", " 'capsize': None}" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot.DataPlot.plot_prefs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Error bars - here on the dependent axis - can be displayed too:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dy1 = [100, 50, 200, 300]\n", "d2 = data.Data1D('errors', x1, y1, dy1)\n", "\n", "plot2 = plot.DataPlot()\n", "plot2.prepare(d2)\n", "\n", "plot2.plot()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot2.plot(capsize=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Histogram-style data (with low and high edges) are handled similarly:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "xlo2 = [0.1, 0.2, 0.4, 0.8, 1.5]\n", "xhi2 = [0.2, 0.4, 0.6, 1.1, 2.0]\n", "y2 = [10, 12, 3, 0, 4]\n", "\n", "data3 = data.Data1DInt('int1', xlo2, xhi2, y2)\n", "\n", "plot3 = plot.DataHistogramPlot()\n", "plot3.prepare(data3)\n", "plot3.plot(xlog=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we want to see the data drawn \"like a histogram\" then we need to set the `linestyle` attribute:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot3.plot(xlog=True, linestyle='solid')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The histogram-style plots are an example of a plot using a different name for the preference settings, in this case `histo_prefs`:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'xlog': False,\n", " 'ylog': False,\n", " 'label': None,\n", " 'xerrorbars': False,\n", " 'yerrorbars': True,\n", " 'color': None,\n", " 'linestyle': 'None',\n", " 'linewidth': None,\n", " 'marker': '.',\n", " 'alpha': None,\n", " 'markerfacecolor': None,\n", " 'markersize': None,\n", " 'ecolor': None,\n", " 'capsize': None}" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot.DataHistogramPlot.histo_prefs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Previously we explicitly set the error values, but we can also use one of the chi-square statistics to come up with error values. In this case it's just the square-root of the data value (so, for $x \\sim 1$ bin, we have an error of 0):" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sherpa.stats import Chi2DataVar\n", "\n", "plot4 = plot.DataHistogramPlot()\n", "plot4.prepare(data3, stat=Chi2DataVar())\n", "plot4.plot(linestyle='dashed', marker=None, ecolor='orange', capsize=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Axis labelling\n", "\n", "The axis labels depend on the plot object and the data used in the `prepare` call. Functionality added in release 4.17.0 allows us to change the labels with the `set_xlabel` and `set_ylabel` calls of the `Data` class:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# These changes must be made before the call to prepare.\n", "data3.set_xlabel(\"distance [kpc]\")\n", "data3.set_ylabel(\"Relative abundance\")\n", "\n", "plot5 = plot.DataHistogramPlot()\n", "plot5.prepare(data3)\n", "\n", "plot5.plot(linestyle=\"solid\", marker=None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## PHA-related plots\n", "\n", "We start with an ARF from a rather simple instrument. This time we also use the `SplitPlot` class to create multiple plots (although this could be done just as easily with `matplotlib` functions):" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "energies = np.arange(0.1, 11, 0.01)\n", "elo = energies[:-1]\n", "ehi = energies[1:]\n", "\n", "arf = 100 * np.ones_like(elo)\n", "arf[elo < 4] = 200\n", "\n", "darf = astrodata.DataARF('arf', elo, ehi, arf)\n", "aplot = astroplot.ARFPlot()\n", "aplot.prepare(darf)\n", "\n", "splot = plot.SplitPlot()\n", "\n", "splot.addplot(aplot)\n", "splot.addplot(aplot, xlog=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The preferences for the split plot are empty by default, because there are no backend-independent settings:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{}" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "splot.plot_prefs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "However, here we are using matplotlib and we can get \"hspace\" \"wspace\" etc as in [plt.subplots_adjust](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplots_adjust.html) to tweak the plot layout:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "splot.reset()\n", "splot.plot_prefs['hspace'] = 0.6\n", "\n", "splot.addplot(aplot)\n", "splot.addplot(aplot, xlog=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A PHA, which matches the ARF, can be created (with a sinusoidal pattern just to show something different):" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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lJabPlBrXViE2z2WtbDalxEWatv/6ZKQE7/3I+mYLsanFZyCZNxsZkEEgj+MLMiADqwhqUUlISFDPnj09lvXo0UPFxcV1bh8eHq7o6GiPm+kz2SOUPSZNrWwX20orm01Pjelt2smkCfYIzclMq3NdZnpiUE+cqm+27DFpLT4DM2cjAzII5HF8QQZkYBVBPZl2woQJKikp8TiZ9sEHH9SmTZv06aefXvH+/jqZVrr4nmHRsdNKiYv02xUva3YfUWGpQ23DQzWqn3XO7i5zVCtn6xfaddih3ol2jUn331U/Vs4gELORARkE8ji+IAMy8Advnr+DWlS2bNmiIUOG6Mknn9TYsWO1efNm3X///Xr99dc1ceLEK97fn0UFAAD4h1+KykMPPdTgAZ577rkGb/v+++8rKytLBw4cUGpqqh566CHdf//9DbovRQUAgKbHm+fvBn/g27Zt2xq0nc1mu/JGX3H77bfr9ttv9+o+AACgZWhwUVm3bp0/5wAAAKilUVf9HDx4UKtWrVJ19cUPAgvi6S4AAKAZ8qmoHD9+XMOGDdM3vvEN3XbbbSorK5Mk3XfffZo1a5apAwIAgJbLp6Ly4IMPKiwsTMXFxYqM/O+HgI0bN04ffPCBacMBAICWzadvT/7nP/+pVatWqUuXLh7Lu3Xrps8//9yUwQAAAHx6ReXUqVMer6RcUlFRofDw8EYPBQAAIPlYVL71rW/pT3/6k/tnm80ml8ulZ555RjfeeKNpwwEAgJbNp7d+nnnmGQ0bNkx5eXk6d+6cHnnkEe3atUsVFRVav3692TMCAIAWyqdXVHr37q39+/frm9/8pkaNGqVTp05pzJgx2rZtm7p27Wr2jAAAoIUK6nf9NBYfoQ8AQNPjl4/Q/7qqqipt3rxZR48elcvl8lj3v//7v77uFgAAwM2novLXv/5VEydO1MmTJxUdHe3x/T42m42iAgAATOHTOSqzZs3Svffeq5MnT6qqqkqVlZXuW0VFhdkzAgCAFsqnolJaWqrp06fX+VkqAAAAZvGpqIwYMUJ5eXlmzwIAAODBp3NURo4cqYcffli7d+9WWlqawsLCPNbfcccdpgwHAABaNp8uTw4JufwLMTabTTU1NY0aqqG4PBkAgKbH75cnf/1yZAAAAH/w6RwVAACAQPD5A99yc3OVm5tb5we+LViwoNGDAQAA+FRUnnzySf36179WRkaGEhISPD7wDQAAwCw+FZVXX31Vb7zxhu6++26z5wEAAHDz6RyVc+fOaciQIWbPAgAA4MGnovKjH/1IixcvNnsWAAAADz699XPmzBm9/vrrWrNmjfr06VPrA9+ee+45U4YDAAAtm09FZceOHerXr58kqbCw0GMdJ9YCAACz+FRU1q1bZ/YcAAAAtfj8OSowR5mjWqt3l6uw1Km2rUM1un9n9U2KDdosb28t0a5Sp9IS7RpzfRcl2CMCclwyIAMyIINLxyWD/2YgQ0rrYtfwnvEBObYV+fRdP5KUl5enZcuWqbi4WOfOnfNYt2LFClOGu5Km/l0/S7cU69GcnbWWZ6Ynau7YfpaYZU5mmsYNSA74ccmADCQykMhAIoNAHTuQvHn+9umqnyVLlmjIkCHas2eP3nnnHZ0/f167du3S2rVrZbfbfRq6pSlzVF/2lzEnv1QFJZWWmCVrxU6VOaoDflwyIAOJDCQykMggEMe2Mp+KylNPPaXnn39ef/3rX9W6dWu9+OKL2rt3r8aOHavk5ObR9vzt0LFT9a7PKwrcX8r6ZnEZUtGx0wE/rkQGEhlIZCCRgUQG/j62lflUVP79739r5MiRkqTWrVvr1KlTstlsevDBB/X666+bOmBzlRrXtt71GSmBe0+2vllCbFJKXGTAjyuRgUQGEhlIZCCRgb+PbWU+FZXY2FidOHFCkpSYmOi+RLmqqkqnT7e8tueLBHuE5mSm1bkuMz0xoCeP1TdL9pg0v53ARQZkcKXjkgEZSGQgSTY/H9vKfDqZdsKECcrIyNBDDz2k3/zmN3r55Zc1atQorV69Wunp6ZxM64UyR7XW7D6iwlKH2oaHalS/4J7hnrP1C+067FDvRLvGpAfuDHcyIAMyIINLxyWD/2YgXbzqZ1iP5nXVjzfP3z4VlYqKCp05c0adO3eWy+XSM888o08//VTdunXTL37xC8XGBuaXqjkUFQAAWhq/FxWroKgAAND0ePP87fMHvrlcLh08eFBHjx6Vy+XyWHfDDTf4ulsAAAA3n4rKxo0bNWHCBH3++ef6+gsyNptNNTU1pgwHAABaNp+Kyk9/+lNlZGTob3/7mxISEvgiQgAA4Bc+FZUDBw7o7bff1rXXXmv2PAAAAG4+fY7KoEGDdPDgQbNnAQAA8NDgV1R27Njh/u9p06Zp1qxZKi8vV1pamsLCwjy27dOnj3kTAgCAFqvBlyeHhITIZrPVOnnWvaP/rAvkybRcngwAQNPjl8uTDx061OjBAAAAvNHgonL11Vf7cw4AAIBafDqZNjs7WwsWLKi1fMGCBZozZ06jhwIAAJB8LCqvvfaarrvuulrLe/XqpVdffbXRQwEAAEg+FpXy8nIlJCTUWt6hQweVlZU1eigAAADJx6KSlJSk9evX11q+fv16de7cudFDAQAASD5+Mu3999+vmTNn6vz587rpppskSbm5uXrkkUc0a9YsUwcEAAAtl09F5eGHH9bx48c1efJknTt3TpLUpk0bPfroo8rKyjJ1QAAA0HI1+APf6nLy5Ent2bNHERER6tatm8LDw82c7Yr4wDcAAJoev3zgmyQlJyfrjjvu0B133KGbbrpJV111lQYMGNCoYQEAAC7Hq5Np33rrLYWHh2vKlCmKi4vTuHHjtGjRIlVVVflpPAAA0JL5/NbPrl279N5772nlypXavn27hgwZ4n615ZprrjF7zjrx1g8AAE2PN8/fPl2eLF38cLesrCxt3LhRhw4d0vjx45Wbm6vevXurd+/e+tvf/ubrrgEAACQ18mTaupw6dUr//Oc/FRUVpeHDh5u561p4RQUAgKbHbyfTXpKfn6+wsDClpaVJklauXKmFCxeqZ8+e+tWvfqXvfe97vuwWAADAg09v/fzkJz/R/v37JUmfffaZxo8fr8jISC1fvlyPPPKIqQMCAICWy6eisn//fvXr10+StHz5ct1www1avHix3njjDeXk5Jg5HwAAaMF8KiqGYcjlckmS1qxZo9tuu03Sxe8AOnbsmHnTAQCAFs2nopKRkaHf/va3euutt/TRRx9p5MiRkqRDhw4pPj7e1AEBAEDL5VNRef7555Wfn6+pU6fq5z//ua699lpJ0ttvv60hQ4aYOiAAAGi5TL08+cyZMwoNDVVoqPcXEz399NPKysrSjBkz9MILLzToPlyeDABA0+P3D3y75pprdPz48VrLz5w5o2984xte72/Lli167bXX1KdPH1/GAQAAzZRPn6NSVFSkmpqaWsvPnj2rL774wqt9nTx5UhMnTtQf//hH/fa3v/VlnGahzFGt1bvLVVjqVNvWoRrdv7P6JsUG7Nhvby3RrlKn0hLtGnN9FyXYIwJy7K/PQQZkQAYX5e4p1/ItJbJHttaEQclk0EIzKCip1LvbSnXqbI3Sutg1vGd8QGa5lMFnX57S7X0SNKxHJ78f83K8euvnvffekySNHj1ab775pux2u3tdTU2NcnNztXr1au3bt6/BA0yaNEnt2rXT888/r29/+9vq169fi3vrZ+mWYj2as7PW8sz0RM0d2y8ox56TmaZxA5L9euyGzEEGZCC1rAwkacwr65VfXOWxjAxaXgazlm1XTn5pwGepK4P05BitmDzUtGP47a2f0aNHa/To0bLZbJo0aZL759GjR2v8+PFavXq15s6d2+D9LVmyRPn5+crOzm7Q9mfPnpXT6fS4NXVljuo6/1JIUk5+qQpKKoNy7KwVO1XmqPbbsRs6BxmQgdRyMpAuvorw9SdoiQyklpVBQUllnSXF37NcLoP84irl7in3yzGvxKui4nK55HK5lJycrKNHj7p/drlcOnv2rPbt26fbb7+9QfsqKSnRjBkztGjRIrVp06ZB98nOzpbdbnffkpKSvBnfkg4dO1Xv+rwi//2lrO/YLkMqOnbab8du6BwSGUhkILWMDCRp7d6jl11HBi0ng81FFUGZpb4MPtz3pV+OeSU+nUx76NAhxcXFNerAW7du1dGjR5Wenu6+Uuijjz7SSy+9pNDQ0DrPgcnKypLD4XDfSkpKGjWDFaTGta13fUaK/96Tre/YITYpJS7Sb8du6BwSGUhkILWMDCTppus6XnYdGbScDAamtAvKLPVl8O3uHfxyzCvxqahIUm5urh5//HH96Ec/0r333utxa4hhw4Zp586d2r59u/uWkZGhiRMnavv27WrVqlWt+4SHhys6Otrj1tQl2CM0JzOtznWZ6Yl+PXmsvmNnj0kL2MljZEAGV5qjpWQgScN6dFJ6ckyt5WTQsjLomxSrzPTEWsttfp7lchmkJ8cE7YRanz5H5cknn9Svf/1rZWRkKCEhQTabzWP9O++849MwLfVkWuni+4Jrdh9RYalDbcNDNapfYK90yNn6hXYddqh3ol1j0oN3tQcZkAEZXJS7p1zL876QPTJMEwYG9ooXMrBOBgUllVq57bBOnbugtC52DesRuKt+crZ+oUPHTuq2NPOv+vHm+dunopKQkKBnnnlGd999t89D1qUlFxUAAFoKb56/ffoclXPnzvnlo/I//PBD0/cJAACaLp/OUfnRj36kxYsXmz0LAACAB59eUTlz5oxef/11rVmzRn369FFYWJjH+ueee86U4QAAQMvmU1HZsWOH+vXrJ0kqLCz0WPf1E2sBAAB85VNRWbdundlzAAAA1OLz56gAAAD4m0+vqNx44431vsWzdu1anwcCAAC4xKeicun8lEvOnz+v7du3q7CwUJMmTTJjLgAAAN+KyvPPP1/n8l/96lc6efJkowYCAAC4xNRzVO666y4tWLDAzF0CAIAWzNSismHDBrVp08bMXQIAgBbMp7d+xowZ4/GzYRgqKytTXl6eZs+ebcpgAAAAPhUVu93u8XNISIi6d++uX//617r55ptNGQwAAMCnorJw4UKz5wAAAKjFp6JyydatW7Vnzx5JUq9evdS/f39ThgIAAJB8LCpHjx7V+PHj9eGHHyomJkaSVFVVpRtvvFFLlixRhw4dzJwRAAC0UD5d9TNt2jSdOHFCu3btUkVFhSoqKlRYWCin06np06ebPSMAAGihbIZhGN7eyW63a82aNRowYIDH8s2bN+vmm29WVVWVWfPVy+l0ym63y+FwKDo6OiDHBAAAjePN87dPr6i4XC6FhYXVWh4WFiaXy+XLLgEAAGrxqajcdNNNmjFjhg4fPuxeVlpaqgcffFDDhg0zbTgAANCy+VRU/vCHP8jpdColJUVdu3ZV165dlZqaKqfTqZdfftnsGQEAQAvl01U/SUlJys/P15o1a7R3715JUo8ePTR8+HBThwMAAC2bV6+orF27Vj179pTT6ZTNZtN3vvMdTZs2TdOmTdOAAQPUq1cvffzxx/6aFQAAtDBeFZUXXnhB999/f51n6Nrtdv3kJz/Rc889Z9pwAACgZfOqqBQUFOiWW2657Pqbb75ZW7dubfRQAAAAkpdF5ciRI3VelnxJaGiovvzyy0YPBQAAIHlZVBITE1VYWHjZ9Tt27FBCQkKjhwIAAJC8LCq33XabZs+erTNnztRaV11drV/+8pe6/fbbTRsOAAC0bF59hP6RI0eUnp6uVq1aaerUqerevbskae/evZo3b55qamqUn5+v+Ph4vw38VXyEPgAATY83z99efY5KfHy8Pv30Uz3wwAPKysrSpY5js9k0YsQIzZs3L2AlpTnL3VOu5VtKZI9srQmDktU3KdavxwkLDdHA1PYa3jNeCfYIvxzLW2RABlLgZisoqdS720p16myN0rrYyYAMLJdBoGYrc1Tr7a0l2lXqVFqiXWOu7xL0DHz6UkJJqqys1MGDB2UYhrp166bYWP/8I1qf5viKyphX1iu/uMpjWWZ6ouaO7ef340jSnMw0jRuQbOqxvEUGZCAFbrZZy7YrJ7/U78fxBRmQgRS42ZZuKdajOTv9fhwpAF9KKEmxsbEaMGCABg4cGJSS0hzl7imv8y9kTn6pCkoq/X4cScpasVNljmrTjuUtMiADKXCzFZRU1vkEYPZxfEEGZCAFbrYyR3WdJcXs4/jC56IC863de/Sy6/KKzHuCqu84LkMqOnbatGN5iwzIQArcbJuLKgJyHF+QARlIgZvt0LFTATmOLygqFnLTdR0vuy4jxbxXreo7TohNSomLNO1Y3iIDMpACN9vAlHYBOY4vyIAMpMDNlhrXNiDH8QVFxUKG9eik9OSYWssz0xNNPZHycsexScoekxbUE6fIgAykwM3WNylWmemJfj+OL8iADKTAzZZgj9CczLQ61wU7A59PprWC5ngyrfSfM9zzvpA9MkwTBvr5ao+8LxQWatOg1PYa1sM6Z7iTARlIgZutoKRSK7cd1qlzF5TWxU4GZGC5DAI1W5mjWjlbv9Cuww71TrRrTLp/rvrx5vmbogIAAAIqIFf9AAAA+BtFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWFZQi0p2drYGDBigqKgodezYUaNHj9a+ffuCORIAALCQ0GAe/KOPPtKUKVM0YMAAXbhwQY8//rhuvvlm7d69W23btg3maJaQu6dcy7eUKCw0RANT22t4z3gl2CMatc8yR7Xe3lqirUWVio9uowmDktU3Kdakic3njwy+ul97ZGsyaAIZFJRU6t1tpTp1tkZpXeymZ2B2tv5ABv/N4MsTZ9Uhqo1G9+9syu8tGVg7A5thGEawh7jkyy+/VMeOHfXRRx/phhtuuOL2TqdTdrtdDodD0dHRAZgwcMa8sl75xVW1ls/JTNO4Ack+7XPplmI9mrOz1vLM9ETNHdvPp336kz8yuNx+ycC6Gcxatl05+aW1lvsjAzP26w9kcPkMGvt7SwbBycCb529LnaPicDgkSe3atatz/dmzZ+V0Oj1uzVHunvI6f2kkKWvFTpU5qr3eZ5mjus6SIkk5+aUqKKn0ep/+5I8M6tsvGVgzg4KSyjr/YZb8k0Fj9+sPZFB/Bo35vSWDppGBZYqKy+XSzJkzNXToUPXu3bvObbKzs2W32923pKSkAE8ZGGv3Hr3sOpchFR077fU+Dx07Ve/6vCJrPUH5I4Mr7ZcMrJfB5qKKy67zVwaN2a8/kEH9GUi+/96SQdPIwDJFZcqUKSosLNSSJUsuu01WVpYcDof7VlJSEsAJA+em6zpedl2ITUqJi/R6n6lx9Z/zk5FirfMT/JHBlfZLBtbLYGBK3a+uSv7LoDH79QcyqD8DyfffWzJoGhlYoqhMnTpV77//vtatW6cuXbpcdrvw8HBFR0d73JqjYT06KT05ptZym6TsMWk+neCUYI/QnMy0Otdlpida7kRKf2RQ337JwJoZ9E2KVWZ6Yq3l/sqgsfv1BzK4fAZS435vyaBpZBDUk2kNw9C0adP0zjvv6MMPP1S3bt28un9zPplW+s9Z2HlfKCzUpkGp7TWshzlX/eRs/UJ5n1dcvOpnoLWv9vBHBl/drz0yjAyaQAYFJZVaue2wTp27oLQudtMzMDtbfyCD/2bw5ckz6hDVRqP6mXjFCxkENANvnr+DWlQmT56sxYsXa+XKlerevbt7ud1uV0TElQNq7kUFAIDmqMkUFZvNVufyhQsX6p577rni/SkqAAA0Pd48fwf1A98s9BEuAADAgixxMi0AAEBdKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyKCoAAMCyQoM9AK6szFGtt7eWaGtRpaLahGpgansN7xmvBHtEQO5vBWZmEBpiU1K7thrdv7P6JsX6eXLzmPHnWFBSqUUbP1dxxWld3b6tJgxKJoMmnIGvv8tNPQNJyt1TruVbSnTBZZBBM8/AZhiGEewhfOV0OmW32+VwOBQdHR3scfxi6ZZiPZqzs851czLTNG5Asl/vbwX+zCAzPVFzx/Zr7Ih+Z8af46xl25WTX1prORk0jwwa+hiaegaSNOaV9covrqq1nAyaTgbePH/z1o+FlTmqL/uPkiRlrdipMke13+5vBf7OICe/VAUllY2a0d/M+HMsKKms8x8liQyk5pFBQx5DU89AuvgqQl1P0BIZSM0zA4qKhR06dqre9S5DKjp22m/3twJ/ZyBJeUXW+kv5dWb8OW4uqqh3PRk0/QykKz+Gpp6BJK3de7Te9WTQ/DKgqFhYalzbeteH2KSUuEi/3d8K/J2BJGWkWO892a8y489xYEq7eteTQdPPQLryY2jqGUjSTdd1rHc9GTS/DCgqFpZgj9CczLQ619kkZY9Jq/ckwsbe3wr8mYF08f1YK5489lVm/Dn2TYpVZnpinevIoOlnIDXsMTT1DCRpWI9OSk+OqXMdGTTPDDiZtgkoc1QrZ+sXyvu8QlFtQjUotb2G9fDuipfG3N8KzMwgNMSm5HZtNapf07vqp7F/jgUllVq8sVifV566eJb/QGue5X85ZGDO73JTz0D6zxUveV/ogstFBk0wA2+evykqAAAgoLjqBwAANAsUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFkUFQAAYFmWKCrz5s1TSkqK2rRpo0GDBmnz5s3BHgkAAFhAaLAHWLp0qR566CG9+uqrGjRokF544QWNGDFC+/btU8eOHYM9nuUUlFTq3W2lKq44rVNnL+iq8FAZkk6dvaDQEJsuuIxay0JbhWhASjuNub6LEuwRwX4IjUYGvmVwwWXo6vZtNWFQsvomxQb7ITTapQy+PHFW1edrPB5nS8mgzFGt1bvLVVjq1PGTZ8mADJplBjbDMIxgDjBo0CANGDBAf/jDHyRJLpdLSUlJmjZtmh577LF67+t0OmW32+VwOBQdHR2IcYNq1rLtyskvbdQ+5mSmadyAZJMmCjwyMCeDzPREzR3bz5yBgoAMpKVbivVozs5G7YMMyEAKTgbePH8H9a2fc+fOaevWrRo+fLh7WUhIiIYPH64NGzbU2v7s2bNyOp0et5aioKSy0f8wS1LWip0qc1SbMFHgkYF5GeTkl6qgpNKEiQKPDC7+P+jGPjlJZCCRgWT9DIJaVI4dO6aamhrFx8d7LI+Pj1d5eXmt7bOzs2W32923pKSkQI0adJuLKkzZj8uQio6dNmVfgUYG5mUgSXlF1v2HqT5kIB06dsq0fZEBGUjWzsASJ9M2VFZWlhwOh/tWUlIS7JECZmBKO1P2E2KTUuIiTdlXoJGBeRlIUkaKtd+XvhwykFLj2pq2LzIgA8naGQS1qMTFxalVq1Y6cuSIx/IjR46oU6dOtbYPDw9XdHS0x62l6JsUq8z0xEbvJ3tMWpM9mZQMzMsgMz3R8ifQXQ4ZSAn2CM3JTGv0fsiADCTrZ2CJk2kHDhyol19+WdLFk2mTk5M1depUTqatQ0FJpVZuO6ziilM6ee7i1R4ypJPnPK/2+Ooy9xUv6c3nihcy8D4D91n+A61/ln9DXMrgy5NnVH2uxuNxtpQMyhzVWrP7iApLHTp+8iwZkEGTycCb5++gF5WlS5dq0qRJeu211zRw4EC98MILWrZsmfbu3Vvr3JWva4lFBQCAps6b5++gf47KuHHj9OWXX+qJJ55QeXm5+vXrpw8++OCKJQUAADR/QX9FpTF4RQUAgKanyXyOCgAAQH0oKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLKC/hH6jXHpQ3WdTmeQJwEAAA116Xm7IR+O36SLyokTJyRJSUlJQZ4EAAB468SJE7Lb7fVu06S/68flcunw4cOKioqSzWYzbb9Op1NJSUkqKSnhO4QaiSzNQ5bmIUvzkKU5WlqOhmHoxIkT6ty5s0JC6j8LpUm/ohISEqIuXbr4bf/R0dEt4hcmEMjSPGRpHrI0D1maoyXleKVXUi7hZFoAAGBZFBUAAGBZFJU6hIeH65e//KXCw8ODPUqTR5bmIUvzkKV5yNIc5Hh5TfpkWgAA0LzxigoAALAsigoAALAsigoAALAsigoAALAsikod5s2bp5SUFLVp00aDBg3S5s2bgz2SpWRnZ2vAgAGKiopSx44dNXr0aO3bt89jmzNnzmjKlClq3769rrrqKmVmZurIkSMe2xQXF2vkyJGKjIxUx44d9fDDD+vChQuBfCiW8vTTT8tms2nmzJnuZeTondLSUt11111q3769IiIilJaWpry8PPd6wzD0xBNPKCEhQRERERo+fLgOHDjgsY+KigpNnDhR0dHRiomJ0X333aeTJ08G+qEETU1NjWbPnq3U1FRFRESoa9eu+s1vfuPxnSzkWLd//etf+u53v6vOnTvLZrPp3Xff9VhvVm47duzQt771LbVp00ZJSUl65pln/P3QgsuAhyVLlhitW7c2FixYYOzatcu4//77jZiYGOPIkSPBHs0yRowYYSxcuNAoLCw0tm/fbtx2221GcnKycfLkSfc2P/3pT42kpCQjNzfXyMvLM/7f//t/xpAhQ9zrL1y4YPTu3dsYPny4sW3bNuPvf/+7ERcXZ2RlZQXjIQXd5s2bjZSUFKNPnz7GjBkz3MvJseEqKiqMq6++2rjnnnuMTZs2GZ999pmxatUq4+DBg+5tnn76acNutxvvvvuuUVBQYNxxxx1GamqqUV1d7d7mlltuMfr27Wts3LjR+Pjjj41rr73W+MEPfhCMhxQUv/vd74z27dsb77//vnHo0CFj+fLlxlVXXWW8+OKL7m3IsW5///vfjZ///OfGihUrDEnGO++847HejNwcDocRHx9vTJw40SgsLDT+8pe/GBEREcZrr70WqIcZcBSVrxk4cKAxZcoU9881NTVG586djezs7CBOZW1Hjx41JBkfffSRYRiGUVVVZYSFhRnLly93b7Nnzx5DkrFhwwbDMC7+hQ4JCTHKy8vd28yfP9+Ijo42zp49G9gHEGQnTpwwunXrZqxevdr4n//5H3dRIUfvPProo8Y3v/nNy653uVxGp06djGeffda9rKqqyggPDzf+8pe/GIZhGLt37zYkGVu2bHFv849//MOw2WxGaWmp/4a3kJEjRxr33nuvx7IxY8YYEydONAyDHBvq60XFrNxeeeUVIzY21uPv96OPPmp0797dz48oeHjr5yvOnTunrVu3avjw4e5lISEhGj58uDZs2BDEyazN4XBIktq1aydJ2rp1q86fP++R43XXXafk5GR3jhs2bFBaWpri4+Pd24wYMUJOp1O7du0K4PTBN2XKFI0cOdIjL4kcvfXee+8pIyNDd955pzp27Kj+/fvrj3/8o3v9oUOHVF5e7pGn3W7XoEGDPPKMiYlRRkaGe5vhw4crJCREmzZtCtyDCaIhQ4YoNzdX+/fvlyQVFBTok08+0a233iqJHH1lVm4bNmzQDTfcoNatW7u3GTFihPbt26fKysoAPZrAatJfSmi2Y8eOqaamxuMffUmKj4/X3r17gzSVtblcLs2cOVNDhw5V7969JUnl5eVq3bq1YmJiPLaNj49XeXm5e5u6cr60rqVYsmSJ8vPztWXLllrryNE7n332mebPn6+HHnpIjz/+uLZs2aLp06erdevWmjRpkjuPuvL6ap4dO3b0WB8aGqp27dq1mDwfe+wxOZ1OXXfddWrVqpVqamr0u9/9ThMnTpQkcvSRWbmVl5crNTW11j4urYuNjfXL/MFEUUGjTJkyRYWFhfrkk0+CPUqTU1JSohkzZmj16tVq06ZNsMdp8lwulzIyMvTUU09Jkvr376/CwkK9+uqrmjRpUpCnazqWLVumRYsWafHixerVq5e2b9+umTNnqnPnzuSIoOCtn6+Ii4tTq1atal1VceTIEXXq1ClIU1nX1KlT9f7772vdunXq0qWLe3mnTp107tw5VVVVeWz/1Rw7depUZ86X1rUEW7du1dGjR5Wenq7Q0FCFhobqo48+0ksvvaTQ0FDFx8eToxcSEhLUs2dPj2U9evRQcXGxpP/mUd/f706dOuno0aMe6y9cuKCKiooWk+fDDz+sxx57TOPHj1daWpruvvtuPfjgg8rOzpZEjr4yK7eW+HeeovIVrVu31vXXX6/c3Fz3MpfLpdzcXA0ePDiIk1mLYRiaOnWq3nnnHa1du7bWy5DXX3+9wsLCPHLct2+fiouL3TkOHjxYO3fu9PhLuXr1akVHR9d6smmuhg0bpp07d2r79u3uW0ZGhiZOnOj+b3JsuKFDh9a6TH7//v26+uqrJUmpqanq1KmTR55Op1ObNm3yyLOqqkpbt251b7N27Vq5XC4NGjQoAI8i+E6fPq2QEM+nhlatWsnlckkiR1+ZldvgwYP1r3/9S+fPn3dvs3r1anXv3r1Zvu0jicuTv27JkiVGeHi48cYbbxi7d+82fvzjHxsxMTEeV1W0dA888IBht9uNDz/80CgrK3PfTp8+7d7mpz/9qZGcnGysXbvWyMvLMwYPHmwMHjzYvf7SZbU333yzsX37duODDz4wOnTo0CIvq/2qr171Yxjk6I3NmzcboaGhxu9+9zvjwIEDxqJFi4zIyEjjz3/+s3ubp59+2oiJiTFWrlxp7Nixwxg1alSdl4f279/f2LRpk/HJJ58Y3bp1a/aX1X7VpEmTjMTERPflyStWrDDi4uKMRx55xL0NOdbtxIkTxrZt24xt27YZkoznnnvO2LZtm/H5558bhmFOblVVVUZ8fLxx9913G4WFhcaSJUuMyMhILk9uaV5++WUjOTnZaN26tTFw4EBj48aNwR7JUiTVeVu4cKF7m+rqamPy5MlGbGysERkZaXzve98zysrKPPZTVFRk3HrrrUZERIQRFxdnzJo1yzh//nyAH421fL2okKN3/vrXvxq9e/c2wsPDjeuuu854/fXXPda7XC5j9uzZRnx8vBEeHm4MGzbM2Ldvn8c2x48fN37wgx8YV111lREdHW388Ic/NE6cOBHIhxFUTqfTmDFjhpGcnGy0adPGuOaaa4yf//znHpfDkmPd1q1bV+e/jZMmTTIMw7zcCgoKjG9+85tGeHi4kZiYaDz99NOBeohBYTOMr3zcIAAAgIVwjgoAALAsigoAALAsigoAALAsigoAALAsigoAALAsigoAALAsigoAALAsigoA09lsNr377rvBHqNB7rnnHo0ePTrYYwC4DIoKAK+Vl5dr2rRpuuaaaxQeHq6kpCR997vf9fgeEwAwQ2iwBwDQtBQVFWno0KGKiYnRs88+q7S0NJ0/f16rVq3SlClTtHfv3mCPCKAZ4RUVAF6ZPHmybDabNm/erMzMTH3jG99Qr1699NBDD2njxo3u7Y4dO6bvfe97ioyMVLdu3fTee++519XU1Oi+++5TamqqIiIi1L17d7344osex7n0lszvf/97JSQkqH379poyZYrHt8ampKToqaee0r333quoqCglJyfr9ddf99hPSUmJxo4dq5iYGLVr106jRo1SUVGRf8IBYDqKCoAGq6io0AcffKApU6aobdu2tdbHxMS4//vJJ5/U2LFjtWPHDt12222aOHGiKioqJEkul0tdunTR8uXLtXv3bj3xxBN6/PHHtWzZMo/9rVu3Tv/+97+1bt06vfnmm3rjjTf0xhtveGwzd+5cZWRkaNu2bZo8ebIeeOAB7du3T5J0/vx5jRgxQlFRUfr444+1fv16XXXVVbrlllt07tw5c8MB4B/B/lZEAE3Hpk2bDEnGihUr6t1OkvGLX/zC/fPJkycNScY//vGPy95nypQpRmZmpvvnSZMmGVdffbVx4cIF97I777zTGDdunPvnq6++2rjrrrvcP7tcLqNjx47G/PnzDcMwjLfeesvo3r274XK53NucPXvWiIiIMFatWuU+zqhRo67wyAEEC+eoAGgww4svW+/Tp4/7v9u2bavo6GgdPXrUvWzevHlasGCBiouLVV1drXPnzqlfv34e++jVq5datWrl/jkhIUE7d+687HFsNps6derkPk5BQYEOHjyoqKgoj/ucOXNG//73vxv8WAAED0UFQIN169ZNNputQSfMhoWFefxss9nkcrkkSUuWLNHPfvYzzZ07V4MHD1ZUVJSeffZZbdq0qcH7aMg2J0+e1PXXX69FixbVmq9Dhw5XfAwAgo+iAqDB2rVrpxEjRmjevHmaPn16rfNUqqqqPM5TuZz169dryJAhmjx5snuZP17hSE9P19KlS9WxY0dFR0ebvn8A/sfJtAC8Mm/ePNXU1GjgwIHKycnRgQMHtGfPHr300ksaPHhwg/bRrVs35eXladWqVdq/f79mz56tLVu2mD7rxIkTFRcXp1GjRunjjz/WoUOH9OGHH2r69On64osvTD8eAPNRVAB45ZprrlF+fr5uvPFGzZo1S71799Z3vvMd5ebmav78+Q3ax09+8hONGTNG48aN06BBg3T8+HGPV1fMEhkZqX/9619KTk7WmDFj1KNHD9133306c+YMr7AATYTN8ObsOAAAgADiFRUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZFBUAAGBZ/x+WhuxyR37LewAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "chans = np.arange(1, len(elo) + 1, dtype=np.int16)\n", "counts = 5 + 5 * np.sin(elo * 4)\n", "counts = counts.astype(int)\n", "\n", "dpha = astrodata.DataPHA('pha', chans, counts)\n", "\n", "pplot = astroplot.DataPHAPlot()\n", "pplot.prepare(dpha)\n", "\n", "pplot.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Adding the ARF to the data allows us to change to `energy` units:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dpha.set_arf(darf)\n", "dpha.set_analysis('energy')\n", "\n", "pplot.prepare(dpha)\n", "pplot.plot(linestyle='solid', marker=None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Grouping the data - in this case in 20-channel groups - allows us to check the \"x errorbar\" handling (the 'errors' here just indicate the bin width, and so match the overplotted orange line):" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dpha.group_bins(20)\n", "\n", "pplot.prepare(dpha, stat=Chi2DataVar())\n", "pplot.plot(xerrorbars=True, yerrorbars=True)\n", "pplot.overplot(linestyle='solid', alpha=0.5, marker=None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see how a model looks for this dataset - in this case a simple sinusoidal model which is multiplied by the ARF (shown earlier), and so is not going to match the data." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "apply_arf(sin)\n", " Param Type Value Min Max Units\n", " ----- ---- ----- --- --- -----\n", " sin.period thawed 4 1e-10 10 \n", " sin.offset thawed 0 0 3.40282e+38 \n", " sin.ampl thawed 1 1e-05 3.40282e+38 \n" ] } ], "source": [ "from sherpa.models.basic import Sin\n", "from sherpa.astro.instrument import Response1D\n", "\n", "mdl = Sin()\n", "mdl.period = 4\n", "\n", "# Note that the response information - in this case the ARF and channel-to-energy mapping - needs\n", "# to be applied to the model, which is done by the Response1D class in this example.\n", "#\n", "rsp = Response1D(dpha)\n", "full_model = rsp(mdl)\n", "print(full_model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the `ModelHistogram` class does not use the grouping of the PHA dataset, so it shows the model evaluated per channel:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mplot = astroplot.ModelHistogram()\n", "mplot.prepare(dpha, full_model)\n", "\n", "mplot.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The discontinuity at 4 keV is because of the step function in the ARF (200 cm$^2$ below this energy and 100 cm$^2$ above it).\n", "\n", "The `ModelPHAHistogram` class does group the model to match the data:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mplot2 = astroplot.ModelPHAHistogram()\n", "mplot2.prepare(dpha, full_model)\n", "\n", "mplot.plot(label='ModelHistogram in original bins')\n", "mplot2.overplot(label='ModelPHAHistogram matching data binning')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Object-less plots\n", "\n", "There are a number of plot classes that don't need a data object, such as scatter plots:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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FqK2ttf8dPHgw2IdEREREfhLUgCglJQV9+/Z1uK1Pnz4oLy8HACQnJwMAqqqqHLapqqqy35ecnIwjR4443H/27FkcP37cYRvRPtTPoRUdHY34+HiHPyIiImqdghoQjRw5Evv27XO47dtvv0X37t0BABkZGUhOTsa6devs99fV1WHLli3Izs4GAGRnZ6OmpgbFxcX2bdavX4/m5mZceuml9m02btyIM2fO2Lf55JNP0Lt3b4cZbURERBSeghoQ3Xvvvfjvf/+LRYsW4fvvv8fy5cvx0ksvIS8vDwAgSRLuuecePP744/jggw+wa9cu3HrrrejSpQvGjx8PoKVH6ZprrsGsWbPw5ZdfYvPmzZgzZw6mTJmCLl26AACmTp2KqKgozJw5E3v27MHKlSvx1FNPYd68ecF66URERGQlcpD95z//kS+55BI5OjpazszMlF966SWH+5ubm+WHHnpITkpKkqOjo+WrrrpK3rdvn8M2P/30k3zjjTfKbdu2lePj4+Xp06fLJ06ccNhmx44d8qhRo+To6Gi5a9euckFBgVvHWVtbKwOQa2trPXuhREREFHBm2++g1iEKJaxDREREFHpCog4RERERkRUwICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsBTUgevTRRyFJksNfZmam/f5Tp04hLy8PHTt2RNu2bTFp0iRUVVU57KO8vBy5ubmIjY1F586dcf/99+Ps2bMO22zYsAFDhgxBdHQ0evbsiVdeeSUQL4+IiIhCRNB7iPr164eKigr736ZNm+z33XvvvfjPf/6Dt956C59//jkOHz6MiRMn2u9vampCbm4uGhsbUVhYiFdffRWvvPIKHn74Yfs2paWlyM3NxZgxY7B9+3bcc889uP322/Hxxx8H9HUSERGRdUmyLMvBevJHH30U7733HrZv3+50X21tLRITE7F8+XLccMMNAICSkhL06dMHRUVFGDFiBNasWYPrrrsOhw8fRlJSEgDgxRdfRH5+Po4ePYqoqCjk5+dj9erV2L17t33fU6ZMQU1NDdauXWv6WOvq6mCz2VBbW4v4+HjvXjgREREFhNn2O+g9RN999x26dOmCiy66CDfddBPKy8sBAMXFxThz5gzGjh1r3zYzMxNpaWkoKioCABQVFaF///72YAgAcnJyUFdXhz179ti3Ue9D2UbZh57Tp0+jrq7O4Y+IiIhap6AGRJdeeileeeUVrF27Fi+88AJKS0tx2WWX4cSJE6isrERUVBTat2/v8JikpCRUVlYCACorKx2CIeV+5T6jberq6tDQ0KB7bIsXL4bNZrP/paamevtyiYiIyKIuCOaTjxs3zv7fAwYMwKWXXoru3bvjzTffRExMTBCPDFi4cCHmzZtn/3ddXR2DIiIiolYq6ENmau3bt0evXr3w/fffIzk5GY2NjaipqXHYpqqqCsnJyQCA5ORkp1lnyr9dbRMfH28YdEVHRyM+Pt7hj4iIiFonSwVEP//8M/bv34+UlBQMHToUbdq0wbp16+z379u3D+Xl5cjOzgYAZGdnY9euXThy5Ih9m08++QTx8fHo27evfRv1PpRtlH0QERERBTUguu+++/D555+jrKwMhYWFmDBhAiIjI3HjjTfCZrNh5syZmDdvHj777DMUFxdj+vTpyM7OxogRIwAAV199Nfr27YtbbrkFO3bswMcff4wHH3wQeXl5iI6OBgDceeed+OGHHzB//nyUlJTg+eefx5tvvol77703mC+diIiILCSoOUQ//vgjbrzxRvz0009ITEzEqFGj8N///heJiYkAgL/97W+IiIjApEmTcPr0aeTk5OD555+3Pz4yMhIffvgh7rrrLmRnZyMuLg7Tpk3DH/7wB/s2GRkZWL16Ne6991489dRT6NatG5YtW4acnJyAv14iIiKypqDWIQolrENEREQUekKmDhERERFRsDEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIi8UlHbgML9x1BR2xDsQyEi8tgFwT4AIgpdK7eWY+GqXWiWgQgJWDyxPyZnpQX7sIiI3MYeIiLySEVtgz0YAoBmGXhg1W72FBFRSGJAREQeKT1Wbw+GFE2yjLJjJ4NzQEREXmBARNSK+TO/J6NTHCIkx9siJQnpnWJ9/lxERP7GgIiolVq5tRwjC9Zj6tItGFmwHiu3lvt0/ym2GCye2B+RUktUFClJWDTxEqTYYnz6PEREgSDJsiy73ozq6upgs9lQW1uL+Pj4YB8OkaGK2gaMLFjvMKQVKUnYtGCMzwOWitoGlB07ifROsQyG/KiitgGlx+qR0SmO7zORG8y235xlRtQKGeX3+LoxTbHFsIH2M87mI/I/DpkRtULM72k9OJuPKDAYEBG1QszvaT04m48oMDhkRtRKTc5Kw+heiczvCXFKb582H4y9fUS+xR4iolYsxRaD7B4dGQyFMPb2EQUGe4iIiCyOvX1E/seAiIgoBHA2H5F/cciMiIiIwp6lAqKCggJIkoR77rnHftupU6eQl5eHjh07om3btpg0aRKqqqocHldeXo7c3FzExsaic+fOuP/++3H27FmHbTZs2IAhQ4YgOjoaPXv2xCuvvBKAV0REREShwDIB0datW/GPf/wDAwYMcLj93nvvxX/+8x+89dZb+Pzzz3H48GFMnDjRfn9TUxNyc3PR2NiIwsJCvPrqq3jllVfw8MMP27cpLS1Fbm4uxowZg+3bt+Oee+7B7bffjo8//jhgr4+IiIisyxJLd/z8888YMmQInn/+eTz++OMYNGgQ/v73v6O2thaJiYlYvnw5brjhBgBASUkJ+vTpg6KiIowYMQJr1qzBddddh8OHDyMpKQkA8OKLLyI/Px9Hjx5FVFQU8vPzsXr1auzevdv+nFOmTEFNTQ3Wrl1r6hi5dAcREVHoMdt+W6KHKC8vD7m5uRg7dqzD7cXFxThz5ozD7ZmZmUhLS0NRUREAoKioCP3797cHQwCQk5ODuro67Nmzx76Ndt85OTn2fYicPn0adXV1Dn9ERETUOgV9ltkbb7yBbdu2YevWrU73VVZWIioqCu3bt3e4PSkpCZWVlfZt1MGQcr9yn9E2dXV1aGhoQEyM88yNxYsX47HHHvP4dREREVHoCGoP0cGDB/G73/0Or7/+Oi688MJgHoqThQsXora21v538ODBYB8SERER+UlQA6Li4mIcOXIEQ4YMwQUXXIALLrgAn3/+OZ5++mlccMEFSEpKQmNjI2pqahweV1VVheTkZABAcnKy06wz5d+utomPjxf2DgFAdHQ04uPjHf4ofFTUNqBw/zEuoElEFCaCGhBdddVV2LVrF7Zv327/GzZsGG666Sb7f7dp0wbr1q2zP2bfvn0oLy9HdnY2ACA7Oxu7du3CkSNH7Nt88skniI+PR9++fe3bqPehbKPsg0ht5dZyjCxYj6lLt2BkwXqs3Foe7EMiIiI/C2oOUbt27XDJJZc43BYXF4eOHTvab585cybmzZuHhIQExMfHY+7cucjOzsaIESMAAFdffTX69u2LW265BUuWLEFlZSUefPBB5OXlITo6GgBw55134tlnn8X8+fMxY8YMrF+/Hm+++SZWr14d2BdMlldR24CFq3bZF9JsloEHVu3G6F6JrBJMRNSKWWKWmZG//e1vuO666zBp0iSMHj0aycnJWLVqlf3+yMhIfPjhh4iMjER2djZuvvlm3HrrrfjDH/5g3yYjIwOrV6/GJ598goEDB+Ivf/kLli1bhpycnGC8JLKw0mP1DquKA0CTLKPs2MngHBAREQWEJeoQhQLWIQoPFbUNGFmw3iEoipQkbFowhj1EREQhKKTqEBGJBCOxOcUWg8UT+yNSkgC0BEOLJl7CYIiIqJULeh0iIpGVW8vtuTwRErB4Yn9MzkoLyHNPzkrD6F6JKDt2EumdYhkMERGFAfYQkeXoJTYHuqcou0dHBkNERGGCARFZDhObiYgo0BgQkeVkdIpDhOR4W6QkIb1TbHAOiIiIWj0GRGQ5TGwmIqJAY1I1WRITm8nfKmobUHqsHhmd4vj9IiIGRGRdKbYYNlTkF8GcxUhE1sQhMyIKK1aYxUhE1sOAiIjCCmcxEpEIAyIiCiucxUhEIgyIiCiscBYjEYkwqZqIwg5nMRKRFgMiIgpLnMVIRGocMiMiIqKwx4CIiIiIwh4DIiIiIgp7DIiIiIgo7DEgIgqgitoGFO4/xqrIPsD3koh8ibPMiAKE62f5Dt9LIvI19hARBQDXz/IdvpdE5A8MiIgCgOtn+Q7fSyLyBwZERAHA9bN8h+8lEfkDAyKiAOD6Wb7D95KI/EGSZVl2vRnV1dXBZrOhtrYW8fHxwT4cClEVtQ1cP8tH+F4SkRlm22/OMiMKIK6f5Tt8L4nIlzhkRkQBxxpCRGQ17CEiItMqahtQeqweGZ3iPO6dYQ0hIrIiBkREFuOLoMMffBHI6NUQGt0r0VKvlYjCDwMiIguxau+JrwIZoxpCDIiIKJiYQ0RkEVauwOyrYoisIUREVsWAiMgirFyB2VeBDGsIEZFVcciMAsaquTFWoQQd6qBIFHQE431UApkHVu1Gkyx7FchMzkrD6F6JrCFERJbCgIgCwqq5MVZiJugI5vvoy0CGNYSIyGo8qlTd0NCA48ePo2vXrg6379mzB/369fPZwVkJK1V7rqK2ASML1jv1fGxaMIaNooBeBWa+j0RE7jPbfrudQ/T222/j4osvRm5uLgYMGIAtW7bY77vllls8O1pq1XyVGxMuxfxSbDHI7tHRKcixco4REVGoc3vI7PHHH0dxcTGSkpJQXFyMadOm4YEHHsDUqVPBZdFIxGxujBEOufnmfSQiIjG3e4jOnDmDpKQkAMDQoUOxceNG/OMf/8Af/vAHSJLk4tEUjrydWWTl6eiBxBlaRET+43YPUefOnbFz504MGDAAAJCQkIBPPvkE06ZNw86dO31+gNQ6eJOQy2J+53GGFhGRf7gdEP373//GBRc4PiwqKgorVqzAnDlzfHZg1Pp4OrOIQ0WOOEOLiMj3TA+ZXXnllXjsscfQrVs3JCcn22+vrq7GlVdeCQAYOXKk74+Qwh6HioiIyN9MT7uPiIhAx44dMXLkSLz++uuIi4sDAFRVVaFLly5oamry64EGG6fdB5/edHQiIiI9fpl2/+mnn6KyshIjRoxAWVmZt8dI5Ba96ehERETecisgSklJweeff47+/fsjKysLGzZs8NNhEVlHuNQ/IiIKZ6YDImVKfXR0NJYvX47f/e53uOaaa/D88897/OQvvPACBgwYgPj4eMTHxyM7Oxtr1qyx33/q1Cnk5eWhY8eOaNu2LSZNmoSqqiqHfZSXlyM3NxexsbHo3Lkz7r//fpw9e9Zhmw0bNmDIkCGIjo5Gz5498corr3h8zNQ6mA1yVm4tx8iC9Zi6dAtGFqzHyq3lATpCIiIKJNOzzLSpRg8++CD69OmDadOmefzk3bp1Q0FBAS6++GLIsoxXX30Vv/71r/H111+jX79+uPfee7F69Wq89dZbsNlsmDNnDiZOnIjNmzcDAJqampCbm4vk5GQUFhaioqICt956K9q0aYNFixYBAEpLS5Gbm4s777wTr7/+OtatW4fbb78dKSkpyMnJ8fjYKfQoi6LuOlSLJ9aUuCzyqFf/aHSvRA7bERG1MqaTqg8cOIC0tDSn4ot79uzBV1995VVgpJaQkIAnn3wSN9xwAxITE7F8+XLccMMNAICSkhL06dMHRUVFGDFiBNasWYPrrrsOhw8ftheLfPHFF5Gfn4+jR48iKioK+fn5WL16NXbv3m1/jilTpqCmpgZr1641fVxMqg5t6krXWnrrgRXuP4apS7c4bb9i1ghk9+jor0MNGUqAmdEpjgEiEVmWz5Oqu3fvLqxE3a9fP58EQ01NTXjjjTdQX1+P7OxsFBcX48yZMxg7dqx9m8zMTKSlpaGoqAgAUFRUhP79+9uDIQDIyclBXV0d9uzZY99GvQ9lG2Uf1Pppe3q09NYDU+ofqYVz/SM1DiUSUWvj9tIdvrZr1y60bdsW0dHRuPPOO/Huu++ib9++qKysRFRUFNq3b++wfVJSEiorKwEAlZWVDsGQcr9yn9E2dXV1aGjQzx85ffo06urqHP4oNIkqXavpBTmsfyTGpVSIqDVyu1K1r/Xu3Rvbt29HbW0t3n77bUybNg2ff/55sA8LixcvxmOPPRbswyAfEFW6VrgKcrhUhjMupWI9HL4k8l7QA6KoqCj07NkTQMtisVu3bsVTTz2FyZMno7GxETU1NQ69RFVVVfZK2cnJyfjyyy8d9qfMQlNvo52ZVlVVhfj4eMTE6J84Fi5ciHnz5tn/XVdXh9TUVM9fKAWN0tPzwKrdaJJlREoS5l/TGwO6tTcV5HCpDEdcSsVa1PlxRpMEiMhY0IfMtJqbm3H69GkMHToUbdq0wbp16+z37du3D+Xl5cjOzgYAZGdnY9euXThy5Ih9m08++QTx8fHo27evfRv1PpRtlH3oiY6OtpcDUP4odE3OSsOmBWOwYtYIbFowBndc3oNFHj3EoUTXAlW7isOXRL4T1B6ihQsXYty4cUhLS8OJEyewfPlybNiwAR9//DFsNhtmzpyJefPmISEhAfHx8Zg7dy6ys7MxYsQIAMDVV1+Nvn374pZbbsGSJUtQWVmJBx98EHl5eYiOjgYA3HnnnXj22Wcxf/58zJgxA+vXr8ebb76J1atXB/OlUxCwp8d3jIYSw334JpA9Nhy+JPKdoAZER44cwa233oqKigrYbDYMGDAAH3/8MX75y18CAP72t78hIiICkyZNwunTp5GTk+NQCDIyMhIffvgh7rrrLmRnZyMuLg7Tpk3DH/7wB/s2GRkZWL16Ne6991489dRT6NatG5YtW8YaREReEgWY4T58E+jaVRy+JPId03WIwh3rEBEZq6htwMiC9U6Ns6jGU2sVjNpVK7eWO+THLZp4SVgFoUSumG2/g55UTUStA4dvgtNjw5mQRL5huaRqIn/gAq3+x0KWwUs4T7HFcJIAkZfYQ0StXrjntQSKqLxBOM4+Y48NUWhiDpFJzCEKTcxrCbyK2gYGA0RkGcwhIgLzWoKB5Q2IKBQxh4gsz5v8H+a1+BZzsYKL7z+R/7CHiCzN2/wff+W1hGPxQeZiBZcv3v9w/N4SmcUcIpOYQxR4vsz/8WVeSzgGBszFCi5fvP/h+L0lAsy33xwyI8vQDgcY5f+4y1fTksN17ShffhbkPm/f/3D93hK5g0NmZAmiq9fRvRIttyxBOCRpi4ZVuEREcHn7/gfie8vhOAp17CGioNO7egVguVXVW3uS9sqt5RhZsB5Tl27ByIL1WLm1HEBgCw4ycdiZt++/v7+3et8bolDCHCKTmEPkP67Wf7JaXZvWunaUmTwVf38WzHMx5s3776/vLfPLyOpYh4hChqvhAKvVtWmtlYjNDKv487MI9Erxocib999f39twGEam8MAhMwq6YK3/5I3WuHZUsIcDmbjtf/743gb7e0PkK+whIktorb0uoSTYa5ExcTs0Bft7Q+QrzCEyiTlEFC6CmbPVWvOzwoHVcv2IFGbbbwZEJjEgsgZO7W392LASkS8xqZpaHc5ACg9WS6InovDApGoKCay0S0RE/sSAiEICZyAREZE/MSAiv/NF5WFO7SUiIn9iQER+5auS/qFYqygYuOwFEZFnOMvMJM4yc58/SvpzBpI+Jp0TETkz236zh4j8xh95P6FeIdpfPThMOifyLfa2hh9Ouye/YeVhR/7sweF6UkS+w97W8MQeIvIb5v2c5+8eHCadE/kGe1vDF3uIyK+4RlkLf/fgcD0pIt9gb2v4YkBEfsfKw4EZPmTwSeQ9DvWHLw6ZEQVAoIYPQz3pnCjYONQfvjjt3iROu7c2fy766s2+tY9l2QAxLtpLVsPfauvBxV0pbPhzRog3+9Z7LE+ujjijh6yIQ/3hh0NmQcZaF97xxYwQvc/Am31zpoo5fJ/IV3guJW+xhyiIeGXsPW9nhGg/g/xxmejf1YaMTnGm9q031MOZKuZ48z6F2jBbqB1vKOG5lHyBAVGQ6F0Zj+6V2CpOloE6+XszI0T0GSz+qATA+eBItO/YqAgU7j+GXYdq8cSaEuFJOJgzVZT3Pi4qEvWNTV59Bv7+HDM6xUECoI6JzLxPodYAhtrxhpLWfi6lwGFAFCStuQfBXyd/UePsTf0d0WegaJaBJWv2If+aTCxZu8++7/GDu2DC84VOj9OehINVF0j93is8/QwC0Yhv/Paow78lwOX7FGoNYKgdb6hpzedSCiwGREHSWmtd+Ovkb9Q4e1p/R/QZqDXJMgZ0a49NC8ag7NhJxEZFCIMh9fbqk3Cg6wJp33uFJ59BIBpx5TnUhytJwOheiYaPC7UGMNSON9S01nMpBR6TqoOktda68MeCrmYSbz2pv6P9DLSUk6qy7/rGJt1gSL29OrkzkHWBjHq83P0M/PE5mnmOZhkunyPUlinx9HiZJGxOaz2XUuCxhyiIWmNlYX9crfnzClv5DLYdqMbm74/hjS8Pohnik6pRj5Ky/cZvj+omafv783V1fO58BoG46vb0OUJtmRJPjpc5R+5pjedSCjwWZjSJhRnNW7m13H7yV4KCO0b38Hh/FbUNGFmw3qnh3LRgjE9OfNrG5/ZRF2H6qHThvtWvLVKSMP+a3hjQrb29EdcepyJQjZr6+BRKA+xJDpG2Eff18bt6DqOk7lArnGf2eP39fScKN2bbbwZEJjEgcs8/Pt+PgjUlkOGbYMBfjbMnjY9ew1a4/ximLt2i+1yBatSU44uNisDJxmavAgZ/BB1mq3e720vSWqa1632PVswageweHYNwREShjZWqKWgqahvwxNoSe7KsLxJyJ2elITO5HbaWVSMrvQMGpnYQPq+7DaInw3F6FWzNJGkHIpHWlxV2fV2t10z17oraBhQfqMaCd3aZ/g61piEmJgkTBQeTqsk0s0me/kjIXbm1HBOeL8Tjq7/BhOcLsXJrudP9IwvWY+rSLRhZsN7pfj2+TNA1m6Qdrswkxyuf45zlX0MbV+p9h1pbtWsmCRMFB3uIyBR3rsB9fYVrNAUcgNu9CWq+TtBVJ3fu/LHGoYaRLxu1UBwectUbp1c2QKH3HWqN09qZJEwUeAyIyCV3a9L4OsjQa/Be3lSGZZt+EDag7jSIvm58lGGm7B4dcf2gLj5v1EJ1eMhVoGxUNsDoO9Rah5i4uChRYDEgIpc8uQL3ZZAhavAiAN1gCHC/QfRX4+Pr/YZy1WNXgbLwc5aAp6cMxtD0DoY5XaE0DZ+IrCmoOUSLFy9GVlYW2rVrh86dO2P8+PHYt2+fwzanTp1CXl4eOnbsiLZt22LSpEmoqqpy2Ka8vBy5ubmIjY1F586dcf/99+Ps2bMO22zYsAFDhgxBdHQ0evbsiVdeecXfL6/V8DTPxldFCUU5FbdfluFRb0Ko8zY/y9fF/tzd3+SsNGxaMAbPTR2Mv08Z6FCVWvQ5L57YH9cN7OLys1T2u2LWCGxaMCYkesyIyFqC2kP0+eefIy8vD1lZWTh79iweeOABXH311di7dy/i4uIAAPfeey9Wr16Nt956CzabDXPmzMHEiROxefNmAEBTUxNyc3ORnJyMwsJCVFRU4NZbb0WbNm2waNEiAEBpaSlyc3Nx55134vXXX8e6detw++23IyUlBTk5OUF7/aHCClfg2h4nAFi2qdTt3gQzrJqfU1HbgJ9+Pu3x8JCvh9o83Z+2eKUvlmEBXPfGWfVzJSJrsFQdoqNHj6Jz5874/PPPMXr0aNTW1iIxMRHLly/HDTfcAAAoKSlBnz59UFRUhBEjRmDNmjW47rrrcPjwYSQlJQEAXnzxReTn5+Po0aOIiopCfn4+Vq9ejd27d9ufa8qUKaipqcHatWtNHRvrELlfk8bfDZCZ2kSimjdGx2TV/Bz1cUkAIAGybL7ooq+L/Xm6v2AVHbTq50rWw8C59QnJOkS1tbUAgISEBABAcXExzpw5g7Fjx9q3yczMRFpamj0gKioqQv/+/e3BEADk5OTgrrvuwp49ezB48GAUFRU57EPZ5p577tE9ltOnT+P06dP2f9fV1fniJYY0d/JhAtEAuepN0B7DhMFd8e7Xh3SPyar5OdrjkgFEyMCzUwdjSHfXvWEVtQ34cOdhn87E8nRmVzBmhFn1cyXrYeAc3ixTh6i5uRn33HMPRo4ciUsuuQQAUFlZiaioKLRv395h26SkJFRWVtq3UQdDyv3KfUbb1NXVoaFBnPuwePFi2Gw2+19qaqrXrzFcuKoL48s8Fr08JdExvLPtkOExGQUNwSRcBBUtPUSuGnSlrs+fVpc43efNTCxP88qCsTBrIBaqBbgYa6hrbfWsyH2WCYjy8vKwe/duvPHGG8E+FADAwoULUVtba/87ePBgsA8pZBg1QO4WUPS0kTGawq13TKKgIQLAT/Wng3pSFAURAPA/b3xt+P4Z1fXxNg/M0+KBwSg6GIggzNPCoGQdgQqcybosMWQ2Z84cfPjhh9i4cSO6detmvz05ORmNjY2oqalx6CWqqqpCcnKyfZsvv/zSYX/KLDT1NtqZaVVVVYiPj0dMjPhEHB0djejoaK9fWyjzdCxdry5MbFSEW0MX3nRfu1pGQ++Y1CS0DE/NWf51ULvPlSBi4Tu70Ky63dX7pxcUPpTbB9cOSPE6CPE0ATrQRQf9PSmAQ3KtQ2utZ0XmBbWHSJZlzJkzB++++y7Wr1+PjIwMh/uHDh2KNm3aYN26dfbb9u3bh/LycmRnZwMAsrOzsWvXLhw5csS+zSeffIL4+Hj07dvXvo16H8o2yj7ImTdXvHq9APWNTYZXYOreIG+7r0XHMGlIV1PHBAC/u7InJAlO1a+D1VM0OSsNT08d7HR7kyxj24Fq4WP0ekZ8EQwpPC2t4KuSDGb5c1o+exZaBy6ZQkHtIcrLy8Py5cvx/vvvo127dvacH5vNhpiYGNhsNsycORPz5s1DQkIC4uPjMXfuXGRnZ2PEiBEAgKuvvhp9+/bFLbfcgiVLlqCyshIPPvgg8vLy7D08d955J5599lnMnz8fM2bMwPr16/Hmm29i9erVQXvtVuaLK15RL0BFbYPuFZi2N+j2Uc51htxNvhUdw305vU0d08XJ7Sy3HMTQ7h2EvV5zln+Nn0+fdWrkrVAuwUr8VXyTPQutB5dMCW9BnXYv6SyC+fLLL+O2224D0FKY8X//93+xYsUKnD59Gjk5OXj++eftw2EAcODAAdx1113YsGED4uLiMG3aNBQUFOCCC87Hexs2bMC9996LvXv3olu3bnjooYfsz2FGOE27L9x/DFOXbnG6fcWsEcju0dGrfYumyo/uleg0FTsCAASNjD+mZ5s9Jn9ODzc7PKkOHNWMjs3dcgnkPjMlIIgoOMy235aqQ2Rl4RQQ+btWjLaB1gvAZl92Ef65qTQgjYwoaAhUI+durtR/dhzC3BXbnW73RcBKngunwJO1evgehJKQrENE1uDvoRbt0IXekMP0UemYPio9II2MaDjF2+5zMydM0fDkwnd2ITO5HQamdhA+Zlh6QkgM0XjaYIRqQxMui7GGSq0ef36PQuU9IPcwICKhQI6luwrAgtnIHKk7hd2HaxAbFeHWcZg9YerVGBr/fCEKdB4TCrlBnjYYbGisLVRm1PnzexQq7wG5jwER6QrkFa8Vkxn/983teGfbIfu/Jw3pir/8dpDLx7nT66NXHkB2cZK14vul8LTB8HVD400PQaj2UvlbMCqNu0v4+1u1y2cBSyi8B+QZyxRmJOsIVsXdQE/FNrLjYLVDMAS0VLrecVA8xV3NqNdHW75A6e0R/RBFU7fVn42V3i81T6eh+3L6ujdlI1hkUV8wKo27S/j7k4GXN5f6ZP+h8B6QZxgQkQNPG4PWtmzBl2XHhbd/VeY6IIqLioRo/qTS66N9jyZnpeHdvF9AO+lSfZKtqG3AotV78YvF/m2offE5BntZD29qWPli+QZP38NQ+A2FQq0evcruyzaW+my5IKu/B+QZDpmRnadDFq0x72N4eoLw9mHp4kRnhfJe6E3d1OtaH5jaAQU6eUGiqfb+yFvw1efoaY6Tr3KjvBnS8HY4JBxyp6w8XAu0fI9mjsrA0i8ce4SaAZ8Na1n9PSDPMCAiO08ag9aaYDgwtQMmDenqlEOkN/MLMF47TKEsF1K4/5hTforoJLvjYDUWrNoFUXEM9XCSt/kuvv4cg7mshzeFEr15rFVypwIhUPmFnuZyzRiVgWVflDpcmPh6WCtcZhWGEwZEZOdJY+BOEGV2Grqvklm93ddffjsIt2Z3x1dl1RiW3kEYDKmfQ2/tsAi0XJ1GShLGD+6CCc8X6vYEqE+yK7eWY8E7+r1NEQB2HqrBTcv+K9yfO6/fH4minjYYyuOUISR3Pz9vepq8eayn7yGTdMW86TVLscWgYJK1Z2KS9TAgIjtPGgOzQZSZk5s7J0BXjb2ZfZkJGAamigMh0XPkX5MpfC9W3Z2Nk43NiI2KsAdDgHFPgNJrYFQ1tRlAwUclTuutje6ViI3fHnWrMbHa8hPeDiF509Pk6WM9fQ+t9t5bgb+WDyIywqRqcuDuIphmEgzNJKq6k8zqKvFbtK8F7+zChzsP2/fn7Uwi0XMsWbsP+eMynd6LgakdkN2jo8vFbdX0epu0tJs0yTKKy6qF046NZshZKVHUF4nNgHezFj15rKfvoZXee6vw1YxDq87EJGtiDxE5cXeow9WVmJkhAbPDBmauHEX7ktGyCGqEBOSPy8QTa0q8uvrUO94BXdtj04Ixwvcio1McJMBUXkNcVKSp49CKlCSnNeCAln+Pf64QBZP0e1qsckVt5rtg1TpBwcydak3Ya0bBwICIfMIoiDJzcjN7AtRrLFfvrEDugBSk2GJ0ix0CLbepgyH1PtzJ2TA6Xr33YuO3Rx3+LQG6PQH1jU3C59UGVBIA6dxxKD0LQ7t3EBd7hOvAzwqJoq6+C1afkeXqPdQL5qzw3ltFKFRjp9aHQ2bkNVf1U8wMCZgdNtCrMfL46m/sQ1/KtFs9ekNRsVHmfw7uDnOIcoIkCRjdK1G4vdKbJKK8/ggJKJjUH5sXXOkwxGkv9ijYgaeFDgPJ6L311XBasLDoo3nuDt8TeYs9ROQVs1frZoYE1NvERkWgvrHJXpFZob1yVFMPfYmm3SqUWV9aJxtFt+ozc7wKveq5er1SKbYYzLosAy9paqnIgH0KvvL/op6FyVlpyExuh/HPFfp16rG/6H1fzPQQBourYbxQnF4fbOw1o0BiDxF5zN2rdTMJjim2GJQfr8eE5wt1r6InZ6Vh1d3Zwh4U9dBXwaTzvQyKSElC/rhMYUVkpT6QO70NZo4X8KwK8/RRGcJeHoUyBKZ3vANTOzi8B6E27CD6vpjpIfQFd6tGm+n58eXSJETke+whIo/5o36K2avo+sYm3d4fJchQehmKy6pRfbIRHWKjMDS9A1JsMWgf28YhP8FVfSBvj9eTnAjtY0Q9W8qssusGivcj6mnxJCHZ2yRmXyVBm+0h9OY53M1RMvsdsHKisFWT1IkCiQERecwfJ3hXQZZy4o6LihQmDuePy3Q4oevV49EOdxnVBzJqLNwJCj2ZSaR+zEsb9+OzfUedtvmfN75GfeNZ3UZbW+zR3YRkb5OYfZ0Erbwnq3dW4PHV3zjcF6iAXM3sd0AJ5ha+swvNaAnerdBjZ/UkdaJA4ZAZecwf9VOMhpbUwxITni/EhMFd7c8dIQELr83EHZf3sD/O1ZCeMiRjVB/I1VCIu0Nhnta3iY2KEAZDotel0A77eJKQ7G0Ssy+ToNWvJ8UWg9wBKT5fddyTYS23h0Mlzf8HUagnqRP5EnuIyCvuJBaboTe0BMDpxP3e14ftVaA9rX8EiOsDSWiZdeaqt8BoKKyitgHFB6ohyzKGpSd4NdRUtP+Y4Xba1yW66k9NiHV7iNNsj53eUIuvkqD1ejF8PTXbk15Ps8OhVkyq5rIhROcxICKvpdhiDJeKcDc/QTS0VLj/mPDEfbKxGdk9Ogr349WQngSUHz9pqrEQHa9oHbLZl2Vg+qgMj4IAyURvws5DNcju0VG34V11d7bb74fRe2hmqEWvJtTjq7/Boo++MTU8YxRI+Lqgoaf1b8wchxULTlotr4m5TBRMHDILAe7OeAk0o253T+uuaIeWPJmlZXZIr/RYvVOCtiwDEZJk+jnVx6u3DtlLX5Safg+076ksux5heWJNib1B0Qse3R3i1HsPAeceO9FQi/bxaspjdhysNvx+uxrG8mQY0oi6/s2qu7ORmhBr6rfn6jhcfYeDUaPIH8PenvL367f6eZSCjz1EFhcKCY8vbyoVNljbDjivqeXpEIHoyn3+uN4oPVZvv1/EzJW76Co5AsCQ7h0cZ3lJwPxxvV0ee/GBat3ij2bfA73lRx4f3w8llSfw//7r3FgodY2Mrvqze3R0u0dldK9EPHXjIECGfZaeXo+dqLdjdK9EbFowRjcJWqmV5E4vk797MVz1enq6T6Ph1WANp1lh2RB/v/5QOI9S8DEgsjB/niR81TVdUduApZrigQDONWCyT/MT1CfunT/W2JfgcHWCc1XcTWmo1ENcMlpmqE3OSkPNyTMoOPdcT6wpQfuYNrrPpQyVGVGCxQ5x+u+/XhBwVZ8kXNUnCa//t9ypBypCgr1BMxr2cafYnV5D4snyGrkDUrDoo2+EgR7g25IF3vLXb8/dgpOByuUJdgFEf75+K+ZukTUxILIwf50kfHW1VFHbgOVbDgjrAd0+6iIMS08Q9ry4s0SG9vmUKfdPrPV8cVZRMDi6VyIkSVUFGi37zExuhyfWljg12pnJ7VDf2OSwD72hMi1JalloVt0rMrpXosMxuQoCCiY5BnDSuf0o9/viqt9VQ+Jub8emBWOcetz8WbLAG/5soEXBh9VyeQLNn68/2MEmhQ4GRBbmj5OEr66WREnDiggA00elC4voNQOY8HyhV7VsRMzOXNILBvVOmlvLnIe/mmQZ458vPJdnZLwPALgqszM+23fE/pyy7NgrsmDVLuDcbXq1krRBgLropCS1DO9pX7erq35PZ4gpDYknvR3KkiJby6qR0SkWs14rNv39DmQvRqADlGD0glmJP19/uAebZB4DIgvzx0nCF1dLFbUN+sGQoKciM7mdPYAAPOvRMQqGFK5mLhkFg3onzax0nZXj3djH4xNakpDLjp3EsZ9PYe6K7cJ9Kftb+M4uZCa3w8DUDvYgQEkIVQcvKbYY3QrVrng6Q0zbkLjb26F93gmDu+K9rw97/P3216ykYAQoVsjlMaOitgFflR2HJEkYKgjEPeWv1x/uwSaZx4DI4nx9ktBLIHbnakk0K0vx9JTBuG5gF4fb6hubHBp9wL0gTK/nRUQbbKlP3sr9ouPI7tER+eMyHfKSFk28BANTOyD/mnO3Q7wwrHofrnJ3KmobhAGWw2sAMP75QhScC1JcBS/qekdpCbFOQ3laRoGh8n4rj/ekIdF7HOB+LSkj/k6UDUaAEuxcHle0PcMSWoZvffW+++v1h0qwScHFgCgE+PIk4SqB2AxRIUOgpVEamt5BuL1TECaZzyXSez4AuOXSNPx7i+OMKyVA2fjtUaeeLO1+1D0XBR855goBLQ3AE2tbgiFJAu66ogde2LBft9fE1Yk3xRbjFHiph9AUsipXyWiIU2/o0ihA0OslfHlTGZZt+sEpwBjdKxHbDlSj+VyBSTN8VUtKj78SZbU9Tv5qoM30bFmtJo+oZ1hGS5AbCgnKVg82vWW170soYh2iMKQkECtktAzTmK3PkWJrWUleXVJFm9Sr3X7xxP4ONVia5ZZcIjO1RlJsMVgwLtPp9ggAV2Qm6q5cbzSsp2yn7rnQbpv/zi6nWkAvbvgB+eMyDeu2pNj069Gs3FpuD4YkAHdd3gOzLssQ1hgyymEqO3bSMIlbry4QIK6HEwHYgyHt4zd+exRzV3yNuSu2B7yWlB5/rBwfqDpAZp4nGDWJXNHrGVbKPVDwWPH7EorYQxSGRI1JM4CXN5Xhgdw+pvZhJqlXy+k5TVzVK1c91w/qAkiwBxPKMc96rViYh1Lf2CQ8ecsAnpkyGB3bRhv2XOgdc5MsY0DX9ti0YIzb3e9OxRYBPLdhP4CW4EjUeyXKYVJ611wNJeoNS4qGtGaOSsdLmvIJerWkFr6zC3HRF9jzR8xemboagnPnCtfdRFlX+w7U1GwzzxPIchvuvud6PcNWTFAOlx4TlhXwHQZEYUjvxLZs0w/22WFmmE3qVX6wIka5RKIckXfv/oVTgrYoD2XHwWrh86mH9ZSijnrLS4goja4n3e9GAYyMloBIOQ4lWBiY2sF5pt653rX8azINj9soQNAOaQHAMk2BzUhJEtaSakZL2QAlKXrVtkP243eVT6I3pOhuPpA7+U1m9h2oqdlmnidQ5TYmDO6Kd78+5PC+aMs/qCk9w0blHqwinAoxsqyA7zAgCkMpthjMuizDqUegWQaKy6o9nrmkxygQ0Lu61LvqeerGQcIEbXUeinIy1FJO3qIKxNq8KhEJ8Gp2iqvAS9R7Bahm6p2r6Ay07GPJ2n3IH5eJgjUlTu+J0QKj2hwZhSjAOFx7Svf1NMvAO9sOORz/gndc55Non9fTK1wzibJm9x2oqdlmnidQ5TbUn51R+Qc1T3qGAy3cekxYVsB3GBCFqemjMpx6BADgf974GvWNZ316NWUUCMiyOKFb76oHMoQ//tioCBTuP4a4qEinKfoSgD+O74er+iQBAEYWrHc6WW5aMAbv5f3CIejQkiTYZ2IpzAzF6M3a0oqUJPvSGFqiIUBl+K5wwZXYdqAasgykJsTozthyddUs6jUaWbBe590QkwF8urcKPTq3NT1U4c0VrqueOrP7Vj6bhe/sss8mNBv8ujM0o02q18tBC0S5DS1t+Qe9IMKbcg+BoLeUUGvtMWktZQWsMMTJgChMaRsAhT+upowCARnuXbGnJsRg5qgM/PPcSS9SkjB+cBdMeL6wJVFZglNviQygR2I7w5lOyrT5gkn6AYuSPKoe5lF6lUTDRdoAZOaoDMwYlWHPP9p5qAZL1uwzdRLbdajW6Tb1VWCHuCjhiURd3dvMVbM6wDDKrTLy8Pt7nHoZjE52/rrCrahtwPH6Rt2ZhULKxq5W0j3H3aEZbVL9/Gt6C7cPRLkNV0IxiDBaSqg195iEelkBqwxxMiAKY5Oz0hAXfQHmLP/a4XZ/nAiVH6zeAp96V+zqqx6HwAfA7NEZyO2fYr8NcA6GAMcGMC4q0rCBVA8J/M8bX+s20topyNrhIlG3/dIvSrH0i1I8cS5wyu7REdcP7OLyJFZR24An1pQ43T7/mt6GC5CqTzKinDFXn7OoEZUkQJKhW5NJeS+U17xw1S7UnDxjX2pFdLLzxxWu9rUrr99oKNHdYRZ3HyNKql+ydh+uH9RFd3amdmjR0ytovd+TMhlBVP4hFIdd9GbC3T7qopALEtwVqmUFrDTEyYAozA3t7jyLyV8nwhRbjHCBT73nU1/1xEZFOAY+AJZtLMWFbSKFV71KY62eWv+n1Xvxz02lTid90ZDFdQNjUN94VreR/qrsuHPtIJzPwTIaoshXBU5mTmJ6+4qLjsSCVbucqmZnJrdD+fGTTo2vlqvPWS9QUV+JagMy0UzCxapgTjRLDfDtFa4o8IiQWvKz9IYkPRm2c/cx3gwN+uIKWvQe35fT2+GzDPVhF73Cs9NHpQfrkMgFKyWFMyCysECMqeo1egCclorw5/PpTQFWAgbR8E0zgKfXfe/0HJGS5DDrbOO3R/GLxeuF04VX3Z2NganOxSQB40ZaqXytpdzsaojimXXfY9HE/uI74fjZ6/XUPPjeHqfHNcmyYR6Udhabq89W7z0QBTLaoFWPepaaumH31RWusKyEDHRsG+1Wb5irgFGv8dUrOOrp0KAvr6C177H6375aENjX5yx3c7RaQz5NOLFSUjgDIosK5Jiq9kS48duj9sTjQC2J4Or1upMDMbJnR3SOv9Bh6Er0sGYZ+LG6wSkgUufd6C2DMbS7cxAloWXWDSCuCK72xtZyzL2qp+lp4tpV4kVDgwq9u7SBovLcrhoc0dCNdi0r5f6ZozKEORwi6oYdgKlGT+9YXQWQnvaGuZot587ixZ421oG8gvYmKPXHOcuTfYZ6Pk24sVIQK8my0amVFHV1dbDZbKitrUV8fLxfn6uitsFhJhTQckLftGCM378k7jy3r64GzT7nyq3lugnPWsrJMzUhFlOXbtHdTpsMrT4Bq7dZMC4Td1zew+GYtb1OEoDChVc6HPO6byox89Vi4XOvmDXCackKvfdi1d3ZKD9+EhHnagNpF4gFxAnl6n0smniJU2PiSVKw0VpWFbUNyF7s3sy02aMzsOyLUpfHoHesotsBOJ1gzTTOFbUN9t4uV2vCKXYcrHaojQUY/2aKD1QDMnSH70THFKzzgVm+OEZR0Uirv27yHeW3548g1mz7zR4iCwrmmKrZ5/bl1eBXZcdNPady5ffp3io89L7zcJGa0vuw6u5sw0BBhmMvhTYYUrZZvKYEkIA7RrcERaLkTSWHKKFty0ldya/RIxpa0Xv/lWGwCAnIH+dckDECwNJbh2LWa8VOtz8zdbCwXownScGu1rJKscVg4bhMh7whIxESsHRjqUMitqjXCHBeGFbJl1Ifk1JPp3DBlR5VE0+xxRgmqouYXbxYm+itDbKNjilQV9BmL3K023l7zhKdT1ITYi2TW0L+Z4WkcAZEFqS3GOqxn0+horbB4y+NmZOdmeEGX+Y06BZRBPD9kRNOjVmKLQY9Orc1te8mWca6b6qQd0UPPPvZfsPtyo6dhAznqsxqT6wpwfUDuwAAPtxZITxmZWaa3qKtaicbnedo6Q0Nqhv8gjUlWHBNJpasdZyyf1WfZGHDmTugi/D5zTZiyvfmp59P6w49PrPuOyyaOOD8G2HS5KxUrPjyoNMxaBeanTkqQ3is60uOCBfG3XagGrkDxLO3jJhdWkP9O/LkNyMKso2IhoF8na9j9iJHtN3oXoke54Hoveer7s62TG4JhQcGRBakvSJUejjmrtjucW+M2ZOdmatRX/VgaU+EajKAh97fg4ff3+NU30dv6RGRp9fvhwRg3CXJWLu7UnexV+Uka5Sn1CwDL28udejREG2j/n89eid2p88ezq9TloFuHWKEPSCu8idc5dpEAPip/rQ98NZ+b/Qs//IguneKw/UDu6DAZO8QAIzq2Qkrtx50OgbtQrP/3OSclyQB6Ng2SrhfTxMBXH239X5HnvxmgPNBtqvfjTb48XW+jtmLHL3tNi0Y43Evlt57frKx2TK5JVZlhWKGrQkDIotSGrZtB6oxZ/nXwiEFd8bm3enRcdWoigIST67cTFXPheOQDNBS2dodMoCPd1fisV/3xcPv73W6f0pWGkqP1WPXj7WGDal2eEf0PGa4OrGr3//i8uP488ffOm1zvL5R2MW842A1viw7juHpCU73iQpJaotzyjg/A0xdURlo+d4YDT8+saYEXdvHmA5GIiUJQ7p3cGr0RAvNKsNM2uG6ru1jnG6XcH69OncZ9fYY/Y5c9eDoBfHN8vmV4vUaNm3wk39Npr2uk/Y4PG0UzV7kGG3naTKz0Xue3aNjwBKkPR0uDBarFDNsTRgQWViKLQYd4pxzVdztjfGkR8doPFcbkEjwbI0vszPHlEbD1ayxCAmYkpWK5ZohGKBl9k/HuGjn6etomfG1/Mty4XOrp6nPGJWuO4NKQkuwoJ0arxQxjJQkzB/XG11tMYAknqWmpryXhfvFwV9CnHPPyP++ud1hfapJQ7riL78dBEC/kOSCazMdIg114K0OhhSyDDw+vp9wyn+z3LIDUcM/dXgauneKFVbmNrPQrF4RyNtfK8bEIV3x7rZD9mKRiyf1dwpIANez2JRg8q7Le+DFz39wOk6jKufK70XZt6ixWiDIrYqUJOz8sQY3LfuvsGETBWFPrClxei+8za0xOzPP1Xae5IG46pV2tU9fBCjeDBcGIwixUjHD1oQBkcX5okaDmX2oexb06vIAEAYkyhpf7jZA2hOhXnCkHtISrVOkkGWgQ2yUsEGW0DLMdPuoczOa0NJ4yjAOyJ5WLbYKwL5kiMiEwV3tlX/1ihiqc4yMTqai2W7q1zJEE1DtOFjtEAwBLYt33prdHQNTO+CTvc7DhTKAgo9KDIf/RD2BV/VJQv3pJmHjHiNIFJcAe4kBvcrc2kZP20DOv6a3Q6+I/TXIwHtfH8bSaUNReuwkstI7YGBqB6cEZuX16r3v2mDy2v7JuGVEusNxxkVFOvWQiX6LRsNKkOCwjtn8cb2deuHUDZuwphKce+q8za0xm7jtrwRvT3uXfBGgeDtcGIwgxErFDFuToAdEGzduxJNPPoni4mJUVFTg3Xffxfjx4+33y7KMRx55BEuXLkVNTQ1GjhyJF154ARdffLF9m+PHj2Pu3Ln4z3/+g4iICEyaNAlPPfUU2rY9n3y7c+dO5OXlYevWrUhMTMTcuXMxf/78QL5Uj/jiBORqH6KehftyegsDGr2idy9vLrVPnXbVAKkDJ1ENJIdp3ecer1zxG9W4kQE8t0GcPC0DDjO1Zo+6CANSbU7Llqgpa6fVNzY5vI+i2kIygHe3HcJj4/shITbKYVaXumfLTLKuaIFarSN1pxw+ny/Ljgu3+6qsGiWVJ/CIYKhQOW6j1z//mt725O0ItCwXAgD9u9kwZ0wPPL9hv71xHz+4C25/tVj43oh6UYyIGsj2sW2c1t4DWhoC5XlFQ33q4xG976Jg8qNdlbhj9PnlHpSGVxuEiH6LRo3VHaN7OASFrho2vYuZ+eN6m14Hz4jRb9HMkK4vh7Hc7V3yRYBSUduAD3ce9nq40FfvgdneLisVM2xNgh4Q1dfXY+DAgZgxYwYmTpzodP+SJUvw9NNP49VXX0VGRgYeeugh5OTkYO/evbjwwgsBADfddBMqKirwySef4MyZM5g+fTpmz56N5cuXA2ipQXD11Vdj7NixePHFF7Fr1y7MmDED7du3x+zZswP6ej0hGlJwt4q03klMr2dBuU0b0IiukrW5NUYNkNEVXemxeozulYjChVeiuKwakgSHwEJvnSKz1MNB/9xUKpzFotCunaaeTaOXR9MM4KH39giDQHeSdY3ydJTXoQ7uFk/sj+HpCcJt0zvFYtZrzkGKQi853aF2j9Qys02Z4VawpuR88HFNJgZ0a2+vUq23L09O1NoGcnJWGjKT2znV/AFcD/WpaRsxo2ByYGoHYfJ/BPSrnBvNEt1xsNqpvpFTDpSqR1TvYmZyVhpGZCRga1m1vVfMXXq/RTPnFCtMkXY3QDFKTNfyZLjQW+70dvmrpy7cBT0gGjduHMaNGye8T5Zl/P3vf8eDDz6IX//61wCA1157DUlJSXjvvfcwZcoUfPPNN1i7di22bt2KYcOGAQCeeeYZXHvttfjzn/+MLl264PXXX0djYyP+9a9/ISoqCv369cP27dvx17/+NSQCIuD8CcibLmLRSUyvMVCoAxqlPov2KtkotwY4f5ICxLVkahrO2Bsxvdekt3K5p5RZLBMGd3UKCGdfdhFyByQ7LEOhHOvfpww0lfOkvVJ1J1nXTFKyOgBQhmMmDenq1NMXE3WB7rDbgmszUfBRidPtz6rqFikLyyrHpA12l6zdh00LxugmyEdInuWX6RmY2gELxmW2BGWy/vpprr4n6hpQesHksHOJ2XrDVqKyCYDxLFGFOsB2onkuTyq7u2Kl4R9PuROgOCWma3oR1QI9XAh49nmwIrfviRfdsYjS0lJUVlZi7Nix9ttsNhsuvfRSFBUVAQCKiorQvn17ezAEAGPHjkVERAS2bNli32b06NGIijqfiJqTk4N9+/ahurpa+NynT59GXV2dw1+w6f1oKmobPN6nXmOg1iTLKC6r1r1KnjEqw3BKtjKVW68AY4Emh2Lhql2oqG1ARW0DCvcfwz8+34+RBevtw1tulLnRFSlJiI2KwCpNMAS0TPk+WN0gPNby4ydN7V8dBALnT6aR5xY7U59Mzcy2M/Ncf/ntILyf9ws8lNsH7+f9An/57SB7o6EWIQHv5f0C/bvahMNbCXHRDr1yZnpbhM8D4N27f+HTpNOVW8tb8p5U3xft9yFSkrBgXKb9vRZRBzMDUztg0pCuDvdPGtLV3uuizBBTkwDDnoHRvRLx9ykD8fj4foAsnl32wKrduosEq787QMv3J7tHR8PhV3fOA0a9K76i/H7Vv2VvzlVaRr8p7XEIE9MF3+uHcvtg04Ixut/ZyVlp2LRgDFbMGmG4nbs8/TzU3wvyXtB7iIxUVlYCAJKSkhxuT0pKst9XWVmJzp07O9x/wQUXICEhwWGbjIwMp30o93Xo4NzdvHjxYjz22GO+eSE+4o8xbKUx0PaSqEVKEiC6EkdLwyK6IlYaAeVKXZnKLZoire0RaZaB/Ld3YtP3zrN6lKGaG4en4o0tB+3J0bePzkDHttEOeRXjB3exJzlL555Mls+fOOsbm3QLDUKn9+FJwRR4EVGDqXdF505dJcA4oXZgagf7MI8yrCq6qlW2cXWF7WomoLK93tWzJ0M5ekSVshXq2YDzx/VG/642rLo7Gz9WNziUrRC9RgD4y28H4dbs7viqrBrDzAxBGUTlTsOfOts1yTK2lde4XcLCVeNphRwUd5Patczm0pjpJdHLexS979cOSHF5LvXHcCFzgqzB0gFRMC1cuBDz5s2z/7uurg6pqalBPCL//Wjuy+mNQantcezEaVzZpzNKKk84NWxDu3cwHPJJTYh1WDgUaFnGQplVBZyvYyPJgqBIc0wbvzume7zNMvCrAV0x98qLHfKqSo/VOy1eel9Ob4dttHViRM8dIbXUsckfl4nFH5kvMuhAp8EUnUz16irpBUl5V/TACxucp4UrRMMpq+7Odso3MTME4BTsnjswdWCpbD+6VyKeunGQW+t0Kcw0gHo5ZDKAZ87NBtz5Y43T8GvBJHPDHEowaeZ5ZRnCCxF3hz9f3lwG4PxnbWYYRu88sPOQ/vR9rUAO/2iHWV0NBbk7HOgqQNFNTFdNGAh2Dg5zgqzB0gFRcnIyAKCqqgopKSn226uqqjBo0CD7NkeOHHF43NmzZ3H8+HH745OTk1FVVeWwjfJvZRut6OhoREdH++R1+Io/fjTak0+XDjG6DZvoudXrPkloWZ9JWbA0oa3zlZmsGeJQepHcoe6VEOVT5I/LhHzuNKw9WWr/u2BSf91Zbf272tw8MtXr0mkwtYx6PfS0j40Srlqv7E87PLBg1S57j522gTFzhS1K6tdu701Oi9nH7jpUK3y8EsACwNSl/xXmV3myrpnCnQsR3VwqiOsoqT1742BTgaToPDD/GuPp+yJKkro6UPZFTR+zw6x6ic++zm0ySky/fpC4DEQwMCco+CwdEGVkZCA5ORnr1q2zB0B1dXXYsmUL7rrrLgBAdnY2ampqUFxcjKFDhwIA1q9fj+bmZlx66aX2bX7/+9/jzJkzaNOmDQDgk08+Qe/evYXDZVbmyx+NsPF8p2VdMVeNZ2xUBMqPn8Tv3tjucCWoXp9Jb2kIbcPgbvrM+MHnlzoQvQalV8dMw6y8puKyatQ0NMIW0wbDzuVVmS0cKaLuPTNqYP61ybjytWjG2eOrv7G/NiX4VIgaI/XjRQ2M0RW2+viV56qobbAHnMq/PW3E3KkB84TOkiBKAPun1Xt1i5h6mmehvP78cZmmprnrfeffzfsFTjY24/sjJ4QLE8sAOraNNn2M2vOAJ8Pp2kB0wuCuePfrQx4naivMDrOK+Gtqu9550+zwV6CqU1th9l44C3pA9PPPP+P777+3/7u0tBTbt29HQkIC0tLScM899+Dxxx/HxRdfbJ9236VLF3utoj59+uCaa67BrFmz8OKLL+LMmTOYM2cOpkyZgi5dWha1nDp1Kh577DHMnDkT+fn52L17N5566in87W9/C8ZL9pqvfjTCxlP13+rGSdk+o1Mcyo/XG9bJUa/PpC28ODkr1XntKs3tERKQld4BW0qrhft/7+vDuC+nt8uEZG3jqndSS7HFoL7xKB5+f49TY6Bd2sIMUe+ZelaRunilaI0u9X7U9Wa0r23BO7tw+mwTftk32XA2m5bZBkbUc1PTcMY+w0uSWnoE+3e1edyIebNkBAA8N3Uwcgd0QUVtg/C9jIBx8rMR0ZIZA7q1N7wQUb7z2qrgJZUnMDkrDemdYvHIB3ucXosnx6k9D7gznC4KRNV5hN70zBjlFLrq1fZnLo2n502rVKcm/wt6QPTVV19hzJgx9n8reTvTpk3DK6+8gvnz56O+vh6zZ89GTU0NRo0ahbVr19prEAHA66+/jjlz5uCqq66yF2Z8+umn7ffbbDb83//9H/Ly8jB06FB06tQJDz/8cMhMuffX1YnZxlNddNHMKu7NquEi5cpMWRR1xZcH7ctcKI2qLMN+++iLO+GL747pBkPKMRkVrhNtKwpO1MsjqBuwZhlY+M4uhzWq1KuviyhB3aienTCkewccqTvlUC9HNHR1u2AFd/X+1PVm3vrqR/y/LY7Li8gAHn5/Lx55f699AVxREKp9DlczpJT3RNtg5p/rPbQ//7neuLwrenjciOn1qJitAaNU7NYLmG4fnWH6N6OttK59/UqJAVf709aqkuEYXCye2B8LVOUrJJxfbkTveDwZRjMKPMzMbPSmZ8bMMKsvXoe/tYbyBGSeJMuergsdXurq6mCz2VBbW4v4+PiAPa+/r05Wbi23n3xEzARAWpIEFC640mFYa2TBeqdG7w/j++Gh9/a4PWQWKUkODZPRa4iUJKy6O9teyFB0jH9avVdYR2n2ZRfhgdw+9n9X1DY4LbarpQw9rNp2yOXrigCEs/fO3YyCSf0BwLA3Tr2vzQuvtPeEfVV2HBGShG4dYvDr5wqd9l248ErdE7pSvfdPqz1LKJckoEDTG2bUeKgXnVWOTwnwlONRFt/VJsGqt3H6jknA5gX6r1N7DOrf2cxRGcLvxIpZI5yGKbUK9x/D1KVbDB+rfJdkWZyA7unvvqK2wVTgIXq/tNx5/3zN7OvwNzOfJVmf2fY76D1EpM/V1YknPUfaxyhXcnoN/ZThaVi+RbzwqS7NTvQK25060+xRkcXJwx1n+6mvRnf+WOPUaK7celA4S2jbgWp063BKt6jk0i9+wIBUG4aeK1KYYhMvtuvwujRDD0aaAdw0PA2vC95fGY75XGb2JeoJmzLceWakjJbXnjvA+Tvzj8/32ytRe0qSgZqTZ+wNrqsG3ahHRft68sdlYkBX52Erb3oWRL+zf24qdXs6vLKvn34+7bLHLMUWI3z/9Y7HbK+E2WEh7fslMqpnp6DOurJCDwynw4cXBkQWZpRfYTQEpMeoVH/ugBj8fPrs+aEWtDQ+1w/qgje+LHcrsViG4wwrvWGRrHTnqfxmLN9Sjje+LHd4zcpzyZCdpv9rh3oUm7//SXeVe+V1KPWTlOfyNNFa1NMWKUkYcVGCMCBSnt/0/tFSfVnbkK7YclC8b8HO/7Fxv9OCrQp36iQ1Aw5BlatAXu97ri0G2iwDS9boD1t5OuFAr07N7NEZ+OcXZaYDLHUwqR4WdnfYJ1ALd7q6GNr0XUshRSsEJnr8nezsTqAdqMRr8h8GRBamd3UiavhcXUGauerUa1D0FjTVI7oa1ks01Z5sBqbasK28xuVzaI9fNOQxY1QGvjJYmuSNreZ6vtTPdaTuFK69JBkf7qo09VjgfMVmUX2nYekJbgVYSqCqDjiUHJT6xibDJHk1ZZq6oqK2AQU6wdBDuX2Q3ikWM18tNneQguc1CuRH90oUfs9Fw4muAgOlZ0FdmNJV46T3O5s+MgPTR2aYCrC0waQMIEJ2XAbFrED2SigXQ5v3/+TUE6z0OgLmij0GWqCSnc0E2u4cCwMn62JAZGF6Vyeihs9VQ2H2qlPUVW20oKlWBMRrV9WcPOPQSCrDIuoaMScbz+D21xwbXaWQo2iWV5MsY/XOCmSld3AK9pZ+UYqlX5Qa1jhyp5enSZZxx2tfYech95ZwUVdsHpjawenEWlHbgNtHZbQkrZvYnwzg26oTDrctGJeJyVlpwkKTEef+rc2f0io9Vi/8fCUAZ2UZs14zHwwpj9P2hukF8psWjHGuqzOuNzZ/71ycU5KAk41nDJ/bk8J+Rr0AZkoHiILJZjgug2KWPxKLjRrhlVvLsULQSxkpSdj5o/lij66ex5dEF3jKRAh/9RR5c7Gp4Iw1a2NAZHGiqxMzSy5oeXPV6c5aW8+cmwatptdgqGvEbPz2qLAXSpaBP47vh/YxUQ5VrxWPr/7GcDjH6LDNBnkKd4KhCAl4eopzoT31iVV7cpw9qmVR2YPHG4SvFWh5PdocpSVr9+H6QV2w8dujTq935LlZew77kJ2LRuotHyIDLWuHmX7l56bjX5PplMtlFMhr88D0nlOWgZmvFmPSkK74y28HOd3vaf6N3u/MTOOuF0x6M+Xfl/XGjBph5f3SHn6EBMwf516xx0A29np5iS9vKnOYCOEv6u+G2YtNf89YY8+T9yy9uCud/5Jri4mZXdRQWVDR1WNEiy8qt8VFRQoXCNV2NKinQavpLbkQIcFhtXe9Rveh9/agvvGsw/GreZoAfPcVPez7M+pJ8kSzDBw6916KFrXUS+TtHH8hrhvYBYsn9hf25Iio8220tMGQIjYqwuEz11s+BBC/vzePMGjoZOD6QV2cFsEULQCrDspTbDFI7xSLJ9a6DsDe2XYIOw5WO93uzaKlKbbzC2Wu3FqOkQXrMXXpFowsWI+VBsOrotcFtAxtetMwqY/HU64WgtW72Hl6ymDD+lJaOw5WY8E7vl142ohowV2gZWFmfz2nQvvd2PVjreH3WuGPBXXtC2Bv3G/6++rJ/v39nloFe4gszOiKy9UVpN5jtbVBCvcfw64fa/HEWsf1nwA4PH7C4K72hVKVYAqAqW59vd4HpcEo3O+8iKuadnht9c4KPL76G4/eU7VRPRNx84ju9srbE54vdDtZ2sjij0rsPR3az0/v5Lh6ZwVyB6S0FMM0eSx6+TZGVu+qsNeWUs7l7uSI/WZoNyzfIk62lwFhdWgzQ0Hu9EZ+VVbttPaYL/Jv3L2SF9V+yh+XiTtG9zD9nL7kTu+F3vul5JiZeS9Xbi1vqaukOQ5/JIIrUmwxmHVZBl7SzBBtFvR++pLou7Fk7T5Tlcx9nRumPserNcst5+7YqEgMS0/w+L0Ix+E9BkQWZeakrDeu7eqx2iRkNWUsXt3ANsst1aFF62d5061//cCWCsP7j/zsclt1sJA7IAWLPvrGVMOpN5ymXQ8NcD95fNKQrhiekWBYyVrZl/Yz0AsSH1/9DRZ99A1mjsrQ7VVTB6cRAOZf01u4+K4eCcBLG883JO7GgOMHd8HA1A66VbyNTvKuAnm99cpEhmkSw4GWhXLVw1eSJM5pM2IURBypO4Uvy45jeHqCQzBmlXWoROv6GTXCroJUVwGsvXdX8CXy9/T06aMysGxTaUCnxOt9NwZ0be9yvTxf5oZpz/FazTIwd8V2jwOZcC1IyYDIoryZeuvqsS5/TIBTK9kkyzjZ2IzsHh2dZvCYOR7RU+W/vRNffHdMmL8gKgapBAuLJ/ZH/jWZulPEgfPLSlw/sGXxxp2Hahyu4OaP643SY/UAzifNKotdagsZikRIsC8foqyFNneFfsFGwPzn1ywDywS1kZTZagNTO6BXcjsUnMvveGJtCdrHtnGqgKzHrXwgwWPe+/owru2fjB+rT2Le1b1wuOYU3tja0lukPslrcxpE66KpGa1XJlJSecIhKBENvUoykJncztSMM+X4lCFibUP7WlEZ1uw+P7tQm8fk69o57uaECHsv1uxDviCfS70/o2DOVaBntJitvytM+yP53BWjXh4zn7+vAmezPameBjKBKv1gNQyILMqb7lVXj3X1YxJVUFYe76obtaK2AcUHqiHLsr27Vq83ZKMgv0XC+SnqovpBSg/W01MHGx7/0luHIiaq5eud3aMjsnt0PB8c/VhjTxYVrTE2Z0wPPPvZfv036NxxrPumCjePSEeKLQZD04EbL03Fcp26P0BLkKb+DIzOZ8IA8tpM+4rkT5xbT0w5FmVIsXDBldh2oBrVJxvx4HvOi4i6QwLwh1/3c1qMtEmWnabgL7zWsWCimYVDtZWs9b6Xer182hO9XqKtsoSK0dWy6HjVQ8R3XXGR03finW2HcG3/ZFzVJ9nFO+k+T4YrdHsvupnrvTAqZaDsX/1vQKfGmHQ+cPe3QPfM+SII80Xg7E49NE8CmXAtSMmAyKK8+eG5eqzRj8koPwhwXt9JWwtIO+S0cFwm7ri8h3C8X0QGcLKxGTUN+lOrmwG8sEEcsEgAJgzpilmvFTs1Jsrrn7r0vw5DWfnv7LK/H+4kVz/43h58XV7TMmxmYnkNyMCRulO6vRCuDOjaHoB+w7ftQDWGdO+ADnFR6NbBvROuBGDcJcn4SNUDIgOorD1l6jgLPiqxLwdiZuFQ7bpuiyf2R2ZyO+G+7x7TAy9s2O/yilXve60NHLVXy6Lj1Q4Rf7jzsPDYZr5ajCcm+Ta3wtPhCm97L/QYBWd655pABEMKX/fMuWKF4VHR+z7/mt7o1iHGqcimOpAx2+sYjN43K2BAZGHe/PCMHiv8MY3r7bQkgvbxouRnpSFulo8L828WrykBJPF4v4hScbngI+Ohkz2HxVPgZcBhHTFtgmHxgWphb4NyXO7m07yz7ZCpdcuUfStrqkkArrkkGR/vqTQVFKmncOs1/HnLv3arorT22NbucS42+dyG/bi2fzLW7jY+Thnnk1nNdOerh/WUBv/vUwYKtx3VMxFX901yWo8OAHYeqrEPvzklN8O5fpXoalkvwFSGiAFgeHqC7mvxdW6Fq4R7o54cf9Qv8rSga2sW6CBMRO99V684oP4OuNvrGI6fKwMii/P0h+fqSkDvy26UH6SX8Jq3/GvDY3liTQmuPzeV3GjtJACYeVkGFn30jVdraWkfq04wnJLlvLaXt9w5Vln1/2t2V2LOmB5obGrGso3GhRnvuqKHQzL9hMFdhWumuToWJWASBQt6QcyaXZWm9usqYDPSMjvLuX9O3cOxYJxz3tiSNftw/cAuwsZZNHNQ1O1vZnhgYGoHTBoifs99nVuh9/6pc+j0GjJfN2LeFHQl/xO973o1tTzpdQy3z5V1iFohszVUUmyOdU6MHuduwquaMhV2clYaVt2dbTgstfSLUmwprfboecwcxxtfHvR5zSFvPL9hP6aPzMDmhVdixawReFYnN2rUxYn2/66obcC7X5tbQFYhAci7ogcKzz3Pu3m/cKqdolf3yExcUzCpv8OJ8/ZRGfaTS6QkYdKQrsIaUooIAKt3Vjjdru7h6N/N5nS/qI6L8r1WZsK5qtel9Ky42u4vvx2Ef04b6nQMRrkVntRx0R6Pmpn6PtrftTdc1Y4ia9J+B/xRA6k1Yg9RK6N3JZCZ3A71jU26PUauriDcqQ+jpe49qG9s8qr3x1vNAGZfdhGWfvGDfehq4pCuWPX1IbeqVqvlXdEDz+nkNLk8HtmxZo+ZKuSefBYygBc+34+0jrH23gVtj507r//+nF44faYZneOjcVWfJPt3Sr3AqVJ9e/qolsTz+3J669aQun5QCt7b7hwQNTY12wuLxkVFCo8lNkr/us5sj4nZ7a7qk4wnJpkblvKmjotyPKL3K5CzfUIpl4SVmvX5Kkm6tb/HDIhamZcFeTpNsuxypo0nBdw84av9eOPHmpMOQ1fRF0R4HAxJAG7O7g5IwHMuZqaJ6C2Ea9QAefoeKsnMndpG4ao+yRjdKxGP/rovHtLMRpPO/Y8s6y9v0j0hDtcNdFyiRbvAabPcUn17+qh0+2vLHZCCP612HBKVAKQmiE/MD723B4+8vweLJ/bX3eZko/EqcHrd/hW1Dfiq7DgkScLQcwuwmjnJGw03K40FIJ6A4OrCRHvcoppbvuqhMdu4hUIuSTgWEXSHLwLbcHiPGRC1IhW1DViqM5NLb6aNclIULaRpVMBNr1aQ8LlxPuFWux9v9U1ph70VJ1xvqPKRZqX65V/qT5V3RQZQXFaNkT07YUPJEexx41gktAwJHak7hQ93HrYX+xvdKxFP3TgIkOG0Fppi5qgM/PNc8BshAbef64l5/b8H8NyG/fbgVzTjauarxRiS1h7bD9YIgyrZ/j8QfsAtAUyMQ66Zq/XqXJ14B6W2171P+c6uujvbZ1OBtTMiJbQM+6nX+DIKFrTBk7axmDkqw6MLE9Hz+KOHRq9x03vdVs4lES70usr9hV5be++HN4FtuBRqZEDUiriqbaNQGqmN3x41nC4+f1xvhy+79ge18dujhlWaFdpGa3JWGmoazrQMrZzrhRh3STI+3l1lP+nfeflFOHC8Hh/udJ75pFZiEIA8lNsHUW0inHpAfEkCdBdideW+nF74svS4Q72lizu3xf6jP+s2VLsO1dprKEkAZo/OwPSRGfZZJM+fC4YkAHdd3gMvfO48XR0AtpXXmDpGGedyi+TzydgThnS1Jysrx5iaECvsSZIAHPv5lH3YS/QdlQFsKT2um7QMnJ/15YvgoKK2wWlGpIzzjaj6dxEhAfnXZKJ/N5tbw83/3FQqXizXxYWJ6Dm87aERFcgUNW41J884LeHjKmCzQhAhrD8lAy9vLsUD1/Y1tY9w6P0APA9sw6VQIwOiVkQ0lCKhpUHTfpk3fX9UWNtFTal7o6b+QSkn6pc3lWHZph/QLLcEP1f3S8LHuyvRDHHl4rioSIfCgrIMfLy7Srg0yO9zG/Dp3io8/P4e8XR5nWOPAJBkuxDVJxv1X6APyHAv90YtM7kdnvz4W4fbvlMtYyJqqLTP/c8vyjB9ZIZTIyejpVbTLdnd8WrRAc8OUHkeGXhu6mAkxEU7zdwy6r1RjkO9hIBeraGlG0tRuPBK3JrdHeu+OYJn1n8vrKWS3aOjwyyy+sYme7Bllt6FQ7MMbDtQ7RQsKMOA7gw3N8stweo/vyhDkywLgyPRhYle0UpPGzJRQ5+aECts3JTcL+X4XfUAWCWI0BtCXrax1H6xYCRcej+8ES6FGhkQWYQvrrT0utdrGs5gsaauj6tgyOyXPcUWgwdy+2D6qHSnaZ7qf6tPnnqNg7rui3r/PTq3dTsRuxnAnHN1eaxGGZ7Z8aPrdbu0DZXo/rJjJ3Hs51POjTJgOhgyykmKlCQMOZdjo1eL6mRjM/LHZTpUAFdvpzQyk4d3Ez6HMqyqzA7r2iFG2BMk6inTCyL0KDk+4vdA1n0f9BpKvcZi+sgMdGwbbe8J1YqUJMRGRTg1xqKilZ4EGnoNvSh4FX3+Rj0Ayur27gRQ/pJii8HMURlO6QLNMLfQa7j0fngjlJLrvcGAyAJ8eaUl6l4v3O+cH6QXmAD6046NqKd3Kv9WbttxsNphjS2959QLwLxJxPY+S8n3FozLxOSsNLxWVOpyW1eFFiMlCTt/rBHm75gVKUmYMSpdmH8mAZic1Q3FB6oxtLt+47/zxxp7L1bLY1KxQpOb1STLukubqAtPAuLvsdGCxO4GEaL3NX9cJoalJxh+10QFEvUaCwAOPaHa51808RLUNzYJ87zUr83TQMOo4KSoMKsSYCr0fpNmVrdX9wabTSL3xoxRGVj2RaluhWYj/uj9sMJQoq8or2V0r0SXS8CEOgZEQeZtd63oh6ftXtf7wc+/prfDoo/zr+mNAd3a208EZhbEVOgFdaLlPLQiJDgstgrA6TVNGZ6GFV+W2/NjrBjomPXEmhJcP6gLftk3GQ+/v9fl9nqvNwLA5OHdDBe5NRIB4JmpgzGke8syC//UzFBUnnf5lwex/Fz9poJJ/V02pjKAlVsPOh23qBik8jyLNXWMAMfvsasFid0JIvSGzAZ0bW8q6V9UIHF0r0T8fcpARLjoTbO/ZqnlMYBx7xxgrrdCdB4waujVQ49K49Y+po3LHgAzq9uLAld/D6ml2GJQYLIcguixvuz98OYC12qBlFWGRQOFAVGQedNda/bLqveDn5yVhusHdXEa6vrXplKHGUyi/bqaYrzwnZbp3drVx0WmDE9FwUfnh4Xs1ZSllkU2tUtj+CMY6p4QiwPHA1OkrBmw9zIsFFRfVpMBjL64k8NCuGN6JyIu6gKs3lVhuJisK/njMpE74PzUeVfLXsho+Zw3L7jS4UrRTA6NEnBrc6EkAO/luV4I1N3aS6LeCqWRcdUjMDkrDZnJ7bC1rGWR3Bc3/OAUHKmDLlEO0OSsNMOezWb5/HfA1exNV70VeucBp5mhAGaeK4EAOF84mUnedrW6PQDdXjx/D6m5On5/Jq6rn8PTC1yrBR/hmFvFgCjIPO2udffLqveDV58URb05ov2qt5MA3H6Z8xTjZgC3v1psaskHbaOuzkvQm3Xka2aDIfUisN4EZkovg5mlRL74znHI87N9R7145vMiIySHhGR1IBB9QYTTKveAcyFJhfb9UHJopo/McOyFiHXuhVAHQ3qNllFwoeSJaXujYqMidBsZox4B7WPyx2UiUpKEBRJFSdjq38viif11e7bUPU2r7s7G1rJqZKV3QEnlCdO9Fa7OA9qJDy99UYplm0oNL55c5V8ZrW5v1CtmdKHnq54RveM3E2yIhv3d5ekFrhWDj3DMrWJAFGSedtd68mU1OtnZu8IF9ykn/g5xLTkB6qBJBrDsC50pxoavwPw2ZhgFKBES0COxrcMMLk8oJ35lJtyRulNYurEUq3dVCJ9bkoBfD+yC97cf1p3VZKYGkr+GB7VDP9rEdxF11XHFxm+POm2j/g6b7YXQPv+CcZm44/Ie9n3oBRcSWoIWZfgXaAnIxz9XCMAxwFYaGaPiitqGacmafbo1kERJ2OrfoT0g2VwqXK+uWQYWvLPLPhNUaazN5mqYPQ8os0C174O7DZv2c1BqLnWOvxCAceBqlJPkz54Rs8GGL47D0wtcKwYforUrW+PMMjWuZWYBk7PSsGnBGKyYNQKbFowx9SP09RpDRkMSktQyY2vq0i3CFcdlADdemmr6y3R/Ti+fzv4anGozDBqaZXgdDAEtxQ8Hpnaw9450jr8QH+0WB0MAkN4xDh/sEAdD7vDnTDmlQX7sgz3If8dx2r6Z5xUF0ur8GJEUm/NaW6KyAYvXlOAfG89X/56clYanpgxyfg0ABnRr37JOnuqgZehPddc7DleJyNr1zpQkbDXld6isYwYAD1zbF5sXXokHc/s4Hb8MODXWAEytR2bmPOCPdazU9ZSWflFqX/tQCZi067C5yknSvn531n5zxczr99VxaF+/9nXrrW3n7vnckzXy3KG3duX8a3q32t4hgD1EluFunZEUm/OK5+MHdzG9DzN5FYBzwqde4z6yRydMHpZqr8SrRwKcau946+uDrqev+0LHdlEO/3aV16JOEveUmaE5CcCCazPx5Q8/YV2J+8NpMoCXC8uEt4tuU8+y0ssfMrqyFQ2P6L2XT6wpcVjNXjQLTGk4vio77rImlKuLBncTkQEIe3j18opES3FoudMzYKaH2ZezqPR6kvV632KjIpxqi6kFomfEzOv35XHo9T4a9UC5M1IQiFwjvd/jgG7tffo8VsOAKESJVjx/7+vDuDW7u8tprqIfFOBcYHD26AykJsS6rPQsSbDPrCnQJIg6TSl272V6zFUg4UkO0JI1+xwaZ1GXsq/k9E3CJ99UOSUgA47HLQF47Nd9MbBbexR8JE7OviqzM9aVHHH7GCIg7mVRD7XVnDzj9DijxlbvZJ7RKU74mWiDK72GY+O3R7FAVfFbRJLgcjjaVcMkunDRNoAAMLJgvWFekTrRWfQe7/yxxqkmlx5XCcG+nEVldBGgDiDMXuAFouBfoING5TmNekBFw3ZmErsDlWsULoUYtRgQhSi9KxpXayXprfujndkSAWD6yAx8VXZc+PzqmWCLJ/YX/qj/9sk+fFlWbfo1+Xo6vd7CpJGShMlZ3dxew0ypQZOV3gHlx08Ku5R95ZO9VcJZXrMvu8ieD6IESA+/v7flters67N97gdDynR6vSBL/b3R0i75onB1Ml8gmHEnOgmLApBfLF7vuidNNh7K09u/2Z4aZTu94pXavCJl/x/sOOxUOHXJ2n24fpD5Hl9XAYivZlF5kiOkpu0d9PWUdz2BDBpFzPZAufocA5VrFKjPxWoYEIUovROT3lpJCr0hDi2lyuuw9ARhoHL3mB4Y1TPRqWYRAHxVdhzlP510KxgCHPNWzAZGekGUrLOTCAlYdXc2Osdf6NGirtqZRq54WlBSb0mSxrPnC/mpd2s0VKRMgX9pY6mp5/7jr/thbN8kl2vj6b0u0ZIvgP7JXBmCax/bxuHzNOrR0QYgZt5is5WLtft3l5mra/X++3e1Oe3DX42ct/vTNpQKMw2mXu+gr4I1M8ceiKBRxFc9LoHsuQnU52IlDIhClKjrXduIik6qeuudaRsU5Uemd+X+wmf7cfOI7g65EmZ6eC7qFIsfDJI5laDIzL60xSXNaJaBk43N2PjtUb8WeFSKGI7ulYhtB6qRt/xr3W1FtWf0AqlXPFyX7NKMBCzdWOry9U4a0hW3ZKe7PA7lPndq5ugF8coQnHZfZnt04qIiXW6j2HnI/FCUGXqFUd25ug614Ql1eYaMTrGIjWrjssF01Tvoi2DNF/x1HL7qcQl0z41VPpdAYUAUwrTJi+pFNwHxSVUvh0FLPZugfzfnK9hmAM+u/x4rviwX9ljo+X1uH8x6rdiw10Tvruv6p+Cj3RVols9fkSrFJYvLqk2tOi8B9vWjvO2FMpI3pod9uDJ3QAyWfvEDtuskfys5XAvf2YVmtAxXXnNJMj7aVenWc0ZKEh65vo+w+nXpsZPGOVUSsOzWobiqT7L9NvsU63PHpZU/LtNUdWPt/kRVoI16KV2dkOsbm4S3Zya3RUml4+xCbR6YN4ySW925uhY1cvOv6e1VPRx/Er1uV0GmFaeVB5qvelzCsecmUBgQhTh1BG/2ykH9g/qp/jTmCHov1LMJ9BJel59bSsOsSUO64qo+yVg8sT/yXSXAwrnH5PfX9cHvr+sjLC553cAY1DeeNVxyQVF+/KTpYawIAPnXZjqt8+TKCxt+wE0juiPF1lIpeYdOMPTPaS1ByMqt5fYXLUvAGg+CoUUTL9FdTf5Hg8KTEWj57qiDIYW2sF+zfO49GZeJO0a31Ahy5+Ss7G/1zgqXw4/erEUFwCkYAnzXCJtJbnXn6lr9m9x5qMZp4VqrLJdQUdvg0aKuodYL5i++6nEJt56bQGFA1Iq4e1WqNNZm8h1mXZaBlzSLf5pZVyxCAuaO6Ykr+3S2VyQe3SvR9HRyZRtZbikAqCxJIKK8fqPeopZEcMlUbs/oizvhiRsGIMXmuM6TGeqG1ygX5/ZXi7FgXKbDkhbuBJlzxvTAyHO5XCk28UK+gItV710UHEqxxeCB3D6YPipd+N1y9+ScYosRTj+XpJZhsma4t8CwUc+Tlq8aYX/0eCiPu2nZf/0+i8hT/9rkPOxq5nX7YqjHaut8UevDgKiV8aRxMlPPaPqoDCzTLP6pzeHRBjmSztWtq2RdwDlYkmGuYVD3FomGeiLPLb5pNBSk2Pz9T/b/VoKtbQeqseHbI3jrK+MlRdQNr14Pm/K6CtaUmBqSU3KrlGG1fFUlZ6Clwfhwx2Gnx7kK/sw2ur64KlU3aqIG0tOhADM9T77Mt/BXj4eVh5Yqahvwz03OifkRcK5eLuLNUI/V1vmi1okBUZjTq2d0X05vp14AMwvEAkBxWbVDbSIto6m7CrNJ4npEQz3qBlF0v5b2+dQJ5CJK0COqXSNKTFfIMJenJAN4dupgJMRFC5e90K5Dp7jrih54YcN+nxUDNEt7RS9q1ERLVHjTwyLqeYoA8MzUwbrfR1fHLbLx26MOPXlmahyZYZWhJXeKZ94+OsP06/YkqLbiOl++wB4v62FAFObcuSI1s0AsAFw30PjH7WqIQ29ldHcbBjNDPQ/k9kHugGSs++YInln/ve6MKe1JWUQvWAHQ0pMjwTAXyVWQqPRuafdttA4dAIzqmYi0hFivVlR3lzb4mTI8DSu2lDvlnmxaMMans770AvfcAV08Om6jWl6ezIjz9PgD2WAaFc8ULew6fWSGX4/Hyr1mnmKPlzUxIApz7l6R+iqZT1TeX1vmv31sG4eThqcNg9ExaxcU1evlcbVMh16wonbH6B64fmAXPP7hXqzWJE3LAJ6ZMti+bpz2qYxev9Gx6S07sfHbo35rdEVX9Mu3lDttZ7ZRc/dK2tOhGbM9EcJaXjBf48hfx+8Lrt6DYARrVuk185XW2uPVGjAgCnPBvCI1E1wpHUjuJBqbJVpQNEJqCUyGpjsGN64q9LqTAPzgdX3x0a5Kpx4a5Tl/Pn3WoSzC7aMzMH2k/rCE0Tp0estO+LPRdRU8Ksw0ap5eSXsSuJvtiQjUchPBaBxdvQfBCNas0GvmS62xx6u1YEBElqxroR2WMJtU7Q69qt0d20Y7PYdyUlbn6UgAZl12EaaPSnc7kb1gkv4J3t3PQ9tgmAmilMf547M2kyNmplEL9JW02UCntTXQau5W2Q4UK56jPNXaerxaEwZEBMB6dS2ssgq22uheiQ7ro8kA/rmpFNNHpbv93GbWVvJklpUVGgwlYBDlXEVIwNOCHjiRQF9JuxPoWOn99iUrB3tWO0d5ysrvcbhjQESWZJVVsNV83UD7+gRvpQbDPotvcymWbSx1qC103UBzCc7BuJL2pJZXa9Nagz0r4XtsTZIs+yM7o/Wpq6uDzWZDbW0t4uPjg304YWHl1nLhNH9fq6htMHViqqhtwMiC9U4N9KYFY3hCM2D2/RUJ1HeAiFovs+03AyKTGBAFhzeNqT+wgQ48q30HiCi0MCASeO655/Dkk0+isrISAwcOxDPPPIPhw4ebeiwDIlKwgSYiCh1m2++IAB5TUK1cuRLz5s3DI488gm3btmHgwIHIycnBkSNHgn1oFGJSbDHI7tGRwRARUSsSNgHRX//6V8yaNQvTp09H37598eKLLyI2Nhb/+te/gn1oREREFGRhERA1NjaiuLgYY8eOtd8WERGBsWPHoqioKIhHRkRERFYQFtPujx07hqamJiQlJTncnpSUhJIS8YKbp0+fxunTp+3/rqur8+sxEhERUfCERQ+RJxYvXgybzWb/S01NDfYhERERkZ+ERUDUqVMnREZGoqqqyuH2qqoqJCcnCx+zcOFC1NbW2v8OHjwYiEMlIiKiIAiLgCgqKgpDhw7FunXr7Lc1Nzdj3bp1yM7OFj4mOjoa8fHxDn9ERETUOoVFDhEAzJs3D9OmTcOwYcMwfPhw/P3vf0d9fT2mT58e7EMjIiKiIAubgGjy5Mk4evQoHn74YVRWVmLQoEFYu3atU6I1ERERhZ+wqlTtDVaqJiIiCj2sVE1ERERkEgMiIiIiCnthk0PkLWVkkQUaiYiIQofSbrvKEGJAZNKJEycAgAUaiYiIQtCJEydgs9l072dStUnNzc04fPgw2rVrB0mSfLrvrKwsbN26NeD7MbO9q2307nfndvVtdXV1SE1NxcGDBwOevO6Lz8FKn4HefWZuC9bnYNXPwMx2reW3wPNR8D8DvWPz9z5a6/lIlmWcOHECXbp0QUSEfqYQe4hMioiIQLdu3fyy78jISJ/82Nzdj5ntXW2jd787t4tuC0YxTF98Dlb6DPTuM3sbEPjPwaqfgZntWstvgeej4H8Gesfh73205vORUc+QgknVFpCXlxeU/ZjZ3tU2eve7c7uvXr+3fHEcVvoM9O7jZ+DZ9uHyW+D5KPifAWDd30JrPh9xyIwshfWerIGfQ/DxMwg+fgbWEKjPgT1EZCnR0dF45JFHEB0dHexDCWv8HIKPn0Hw8TOwhkB9DuwhIiIiorDHHiIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIgopEyZMQIcOHXDDDTcE+1DC0sGDB3HFFVegb9++GDBgAN56661gH1JYqqmpwbBhwzBo0CBccsklWLp0abAPKWydPHkS3bt3x3333RfsQwlL6enpGDBgAAYNGoQxY8Z4tS/OMqOQsmHDBpw4cQKvvvoq3n777WAfTtipqKhAVVUVBg0ahMrKSgwdOhTffvst4uLign1oYaWpqQmnT59GbGws6uvrcckll+Crr75Cx44dg31oYef3v/89vv/+e6SmpuLPf/5zsA8n7KSnp2P37t1o27at1/tiDxGFlCuuuALt2rUL9mGErZSUFAwaNAgAkJycjE6dOuH48ePBPagwFBkZidjYWADA6dOnIcuyy5W8yfe+++47lJSUYNy4ccE+FPIBBkQUMBs3bsSvfvUrdOnSBZIk4b333nPa5rnnnkN6ejouvPBCXHrppfjyyy8Df6CtmC8/g+LiYjQ1NSE1NdXPR936+OJzqKmpwcCBA9GtWzfcf//96NSpU4COvnXwxWdw3333YfHixQE64tbHF5+BJEm4/PLLkZWVhddff92r42FARAFTX1+PgQMH4rnnnhPev3LlSsybNw+PPPIItm3bhoEDByInJwdHjhwJ8JG2Xr76DI4fP45bb70VL730UiAOu9XxxefQvn177NixA6WlpVi+fDmqqqoCdfitgrefwfvvv49evXqhV69egTzsVsUXv4NNmzahuLgYH3zwARYtWoSdO3d6fkAyURAAkN99912H24YPHy7n5eXZ/93U1CR36dJFXrx4scN2n332mTxp0qRAHGar5ulncOrUKfmyyy6TX3vttUAdaqvmzW9Bcdddd8lvvfWWPw+zVfPkM1iwYIHcrVs3uXv37nLHjh3l+Ph4+bHHHgvkYbcqvvgd3HffffLLL7/s8TGwh4gsobGxEcXFxRg7dqz9toiICIwdOxZFRUVBPLLwYeYzkGUZt912G6688krccsstwTrUVs3M51BVVYUTJ04AAGpra7Fx40b07t07KMfbGpn5DBYvXoyDBw+irKwMf/7znzFr1iw8/PDDwTrkVsfMZ1BfX2//Hfz8889Yv349+vXr5/FzXuDdIRP5xrFjx9DU1ISkpCSH25OSklBSUmL/99ixY7Fjxw7U19ejW7dueOutt5CdnR3ow22VzHwGmzdvxsqVKzFgwAD7eP+///1v9O/fP9CH22qZ+RwOHDiA2bNn25Op586dy8/Ah8yej8h/zHwGVVVVmDBhAoCWmZezZs1CVlaWx8/JgIhCyqeffhrsQwhro0aNQnNzc7API+wNHz4c27dvD/Zh0Dm33XZbsA8hLF100UXYsWOHz/bHITOyhE6dOiEyMtIpMbSqqgrJyclBOqrwws/AGvg5BB8/g+ALxmfAgIgsISoqCkOHDsW6devstzU3N2PdunUcEgsQfgbWwM8h+PgZBF8wPgMOmVHA/Pzzz/j+++/t/y4tLcX27duRkJCAtLQ0zJs3D9OmTcOwYcMwfPhw/P3vf0d9fT2mT58exKNuXfgZWAM/h+DjZxB8lvsMPJ6fRuSmzz77TAbg9Ddt2jT7Ns8884yclpYmR0VFycOHD5f/+9//Bu+AWyF+BtbAzyH4+BkEn9U+A65lRkRERGGPOUREREQU9hgQERERUdhjQERERERhjwERERERhT0GRERERBT2GBARERFR2GNARERERGGPARERERGFPQZEREREFPYYEBEREVHYY0BERGGjrKwMkiQ5/V1xxRXBPjQiCjKudk9EYSM1NRUVFRX2f1dWVmLs2LEYPXp0EI+KiKyAi7sSUVg6deoUrrjiCiQmJuL9999HREQEJkyYgA0bNuCqq67C22+/HexDJKIA4pAZEYWlGTNm4MSJE1i+fDkiIlpOhb/73e/w2muvBfnIiCgYGBARUdh5/PHH8fHHH+ODDz5Au3bt7LdfccUVDv8movDBHCIiCivvvPMO/vCHP2DNmjXo0aNHsA+HiCyCARERhY3du3fj1ltvRX5+Pvr164fKykoAQFRUFBISEoJ8dEQUTBwyI6Kw8dVXX+HkyZN4/PHHkZKSYv+bOHFisA+NiIKMARERhY3bbrsNsiw7/W3YsCHYh0ZEQcZp90RE54wdOxY7duxAfX09EhIS8NZbbyE7OzvYh0VEAcCAiIiIiMIeh8yIiIgo7DEgIiIiorDHgIiIiIjCHgMiIiIiCnsMiIiIiCjsMSAiIiKisMeAiIiIiMIeAyIiIiIKewyIiIiIKOwxICIiIqKwx4CIiIiIwh4DIiIiIgp7/x/9ljYyT3BUTAAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rng = np.random.default_rng(1273)\n", "\n", "# I've never used the Wald distribution before, so let's see how it looks...\n", "#\n", "z1 = rng.wald(1000, 20, size=1000)\n", "z2 = rng.wald(1000, 2000, size=1000)\n", "\n", "# We take advantage of matplotlib functionality in labelling the axes and title.\n", "#\n", "splot = plot.ScatterPlot()\n", "splot.prepare(z1, z2, xlabel='z$_1$', ylabel='z$_2$', name='(z$_1$, z$_2$)')\n", "splot.plot(xlog=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and cumulative plots:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cplot = plot.CDFPlot()\n", "\n", "cplot.prepare(z1, xlabel='z', name='z')\n", "cplot.plot(xlog=True)\n", "\n", "cplot.prepare(z2)\n", "cplot.overplot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that this is a small sampling of the available plot types (although most are variants of plotting either the data or a model)." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 4 }