uhlig_plot_impresp_all.ipynb

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    "#  This is filename:  Uhlig_plot_impresp_all.ipynb\n",
    "#  It plots all the impulse responses from \n",
    "#  Uhlig_impulse_resp_all.ipynb\n",
    "\n",
    "#  Plot the simulation results for \n",
    "#  Uhlig_impulse_resp_all.ipynb\n",
    "\n",
    "import numpy as np\n",
    "import numpy.matlib as npm\n",
    "from numpy import hstack, vstack, zeros, dot, eye, kron\n",
    "\n",
    "import scipy as sp\n",
    "from scipy import linalg as la\n",
    "from scipy.linalg import null_space\n",
    "import scipy.optimize as opt\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pylab\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import statsmodels.api as sm\n",
    "\n",
    "np.set_printoptions(precision=4, suppress=True)\n",
    "\n",
    "\n",
    "x = range(0,(Resp_mat.shape[1]))\n",
    "var_x = np.array(x).reshape(Resp_mat.shape[1],1)\n",
    "#print(var_x)\n",
    "#print('  ')\n",
    "\n",
    "variable_counter = 0\n",
    "\n",
    "for variable_counter in range(0,Resp_mat.shape[0]):\n",
    "    y=Resp_mat[variable_counter,:]\n",
    "    var_y = y.reshape(Resp_mat.shape[1],1)\n",
    "    #print('  ')\n",
    "    #print(variable_counter)\n",
    "    #print('  ')\n",
    "    #print(var_y)\n",
    "    #print('  ')\n",
    "    \n",
    "    if Resp_mat_named[variable_counter,0] == 'Period':\n",
    "        print('Set of Impulse Responses')\n",
    "        print('x-axis: time periods,  y-axis:  %-deviation from steady state')\n",
    "        variable_counter  += 1\n",
    "    else:    \n",
    "        plt.plot(var_x, var_y, color='blue', linestyle='solid', linewidth = 0.5, marker='o', markerfacecolor='blue', markersize=0.5, label=Resp_mat_named[variable_counter,0])  \n",
    "        pylab.legend(loc='best')\n",
    "        pylab.show()\n",
    "        plt.show() \n",
    "        \n",
    "        \n",
    "#  or  df.plot(subplots=True, layout=(2,2), ...)\n",
    "#  matplotlib.pyplot.subplot(nrows, ncols, index, **kwargs)\n"
   ]
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