221121_Tamoghna Kumar_matplotlib.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** * NOTE: ALL THE COMMANDS FOR PLOTTING A FIGURE SHOULD ALL GO IN THE SAME CELL. SEPARATING THEM OUT INTO MULTIPLE CELLS MAY CAUSE NOTHING TO SHOW UP. * **\n",
    "\n",
    "# Exercises\n",
    "\n",
    "Follow the instructions to recreate the plots using this data:\n",
    "\n",
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "x = np.arange(0,100)\n",
    "y = x*2\n",
    "z = x**2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Import matplotlib.pyplot as plt and set %matplotlib inline if you are using the jupyter notebook. What command do you use if you aren't using the jupyter notebook?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1\n",
    "\n",
    "** Follow along with these steps: **\n",
    "* ** Create a figure object called fig using plt.figure() **\n",
    "* ** Use add_axes to add an axis to the figure canvas at [0,0,1,1]. Call this new axis ax. **\n",
    "* ** Plot (x,y) on that axes and set the labels and titles to match the plot below:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'title')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "ax=fig.add_axes([0,0,1,1])\n",
    "ax.set_xlabel('x')\n",
    "ax.set_ylabel('y')\n",
    "ax.set_title('title')\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2\n",
    "** Create a figure object and put two axes on it, ax1 and ax2. Located at [0,0,1,1] and [0.2,0.5,.2,.2] respectively.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LFhy9q2DE5Lv/d955Z/z85z+PnTt3xvbt2+Pv//7v4+WXX4758+eP1iUAAInK660OERH19fWxd+/eWLJkSbS3t8ekSZNi48aN/d/w1NbWFoWFf+3pysrKeOKJJ2LhwoXxmc98JiZMmBA33HBD3HzzzUfvKhgx+e7/n//857j22mujvb09xowZE1OmTIktW7bEBRdcMFqXAAAkqiDLsmy0h/ggXV1dUVZWFp2dnVFaWjra4zDC7H/a7D9Amobj9/9h/1QHAAA4FghfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhfAACSIHwBAEiC8AUAIAnCFwCAJAhf8rZ8+fKYOHFilJSURHV1dWzduvV91z/yyCNx3nnnRUlJSVx00UWxYcOGEZoUAOCvhC95Wbt2bTQ0NERjY2Ns3749qqqqoq6uLvbs2TPo+i1btsSVV14Z11xzTezYsSNmz54ds2fPjmeffXaEJwcAUleQZVk22kN8kK6urigrK4vOzs4oLS0d7XGSVl1dHZdcckncd999ERHR19cXlZWVcf3118eiRYsOWl9fXx/d3d3x+OOP9x+79NJLY9KkSbFixYrDek37nzb7D5Cm4fj9/4Sj8iwkoaenJ7Zt2xaLFy/uP1ZYWBi1tbXR0tIy6DktLS3R0NAw4FhdXV2sW7fukK9z4MCBOHDgQP/XnZ2dEfHOLwDS8+6+Hwd/RgfgGCd8OWz79u2L3t7eKC8vH3C8vLw8nn/++UHPaW9vH3R9e3v7IV+nqakp7rjjjoOOV1ZWDmFqPiz+9Kc/RVlZ2WiPAcBxTPhyzFm8ePGAu8T79++PM844I9ra2pIMn66urqisrIzdu3cn+Vf9nZ2dcfrpp8epp5462qMAcJwTvhy2sWPHRlFRUXR0dAw43tHRERUVFYOeU1FRkdf6iIhcLhe5XO6g42VlZUmG37tKS0uTvv7CQt+LC8CR8X8SDltxcXFMmTIlmpub+4/19fVFc3Nz1NTUDHpOTU3NgPUREZs2bTrkegCA4eKOL3lpaGiIuXPnxtSpU2PatGmxbNmy6O7ujnnz5kVExJw5c2LChAnR1NQUERE33HBDzJgxI5YuXRozZ86MNWvWxNNPPx0PPPDAaF4GAJAg4Ute6uvrY+/evbFkyZJob2+PSZMmxcaNG/u/ga2trW3AX0lPnz49HnroobjtttvilltuiU9+8pOxbt26uPDCCw/7NXO5XDQ2Ng769ocUuP60rx+Ao8fn+AIAcMwZjv7zHl8AAJIgfAEASILwBQAgCcIXAIAkCF+OCcuXL4+JEydGSUlJVFdXx9atW993/SOPPBLnnXdelJSUxEUXXRQbNmwYoUmHRz7Xv3r16igoKBjwKCkpGcFpj54nn3wyZs2aFePHj4+CgoJYt27dB56zefPmuPjiiyOXy8U555wTq1evHvY5AfhwEL6MurVr10ZDQ0M0NjbG9u3bo6qqKurq6mLPnj2Drt+yZUtceeWVcc0118SOHTti9uzZMXv27Hj22WdHePKjI9/rj3jnp7i98sor/Y+XX355BCc+erq7u6OqqiqWL19+WOt37doVM2fOjCuuuCJaW1vjxhtvjPnz58cTTzwxzJMC8GHg48wYddXV1XHJJZfEfffdFxHv/DS4ysrKuP7662PRokUHra+vr4/u7u54/PHH+49deumlMWnSpFixYsWIzX205Hv9q1evjhtvvDH2798/wpMOr4KCgnjsscdi9uzZh1xz8803x/r16wf8IecrX/lK7N+/PzZu3DgCUwIwUnycGR86PT09sW3btqitre0/VlhYGLW1tdHS0jLoOS0tLQPWR0TU1dUdcv2xbCjXHxHx+uuvxxlnnBGVlZXxpS99KX7zm9+MxLij7sO09wCMPOHLqNq3b1/09vb2/+S3d5WXl0d7e/ug57S3t+e1/lg2lOs/99xzY9WqVfHTn/40fvSjH0VfX19Mnz49/vCHP4zEyKPqUHvf1dUVb7755ihNBcDxwo8shuNMTU1N1NTU9H89ffr0OP/88+P73/9+3HXXXaM4GQAc29zxZVSNHTs2ioqKoqOjY8Dxjo6OqKioGPScioqKvNYfy4Zy/e914oknxuTJk+PFF18cjhGPKYfa+9LS0jjppJNGaSoAjhfCl1FVXFwcU6ZMiebm5v5jfX190dzcPOCu5v+vpqZmwPqIiE2bNh1y/bFsKNf/Xr29vfHMM8/EuHHjhmvMY8aHae8BGHne6sCoa2hoiLlz58bUqVNj2rRpsWzZsuju7o558+ZFRMScOXNiwoQJ0dTUFBERN9xwQ8yYMSOWLl0aM2fOjDVr1sTTTz8dDzzwwGhexpDle/133nlnXHrppXHOOefE/v374z/+4z/i5Zdfjvnz54/mZQzJ66+/PuBO9a5du6K1tTVOPfXUOP3002Px4sXxxz/+Mf7nf/4nIiKuu+66uO++++Kmm26Kf/zHf4xf/vKX8fDDD8f69etH6xIAOI4IX0ZdfX197N27N5YsWRLt7e0xadKk2LhxY/83MbW1tUVh4V//cmL69Onx0EMPxW233Ra33HJLfPKTn4x169bFhRdeOFqXcETyvf4///nPce2110Z7e3uMGTMmpkyZElu2bIkLLrhgtC5hyJ5++um44oor+r9uaGiIiIi5c+fG6tWr45VXXom2trb+f37mmWfG+vXrY+HChfFf//Vf8YlPfCIefPDBqKurG/HZATj++BxfAACOOT7HFwAAhkj4AgCQBOELAEAShC8AAEkQvgAAJEH4AgCQBOELAEAShC8AAEkQvgAAJEH4AgCQBOELAEAShC8AAEkQvgAAJEH4AgCQBOELAEAShC8AAEkQvgAAJEH4AgCQBOELAEAShC8AAEkQvgAAJEH4AgCQhCGF7/Lly2PixIlRUlIS1dXVsXXr1sM6b82aNVFQUBCzZ88eyssCAMCQ5R2+a9eujYaGhmhsbIzt27dHVVVV1NXVxZ49e973vJdeein+5V/+JS6//PIhDwsAAEOVd/jee++9ce2118a8efPiggsuiBUrVsTJJ58cq1atOuQ5vb298dWvfjXuuOOOOOuss45oYAAAGIq8wrenpye2bdsWtbW1f32CwsKora2NlpaWQ5535513xmmnnRbXXHPNYb3OgQMHoqura8ADAACORF7hu2/fvujt7Y3y8vIBx8vLy6O9vX3Qc5566qn4wQ9+ECtXrjzs12lqaoqysrL+R2VlZT5jAgDAQYb1Ux1ee+21uPrqq2PlypUxduzYwz5v8eLF0dnZ2f/YvXv3ME4JAEAKTshn8dixY6OoqCg6OjoGHO/o6IiKioqD1v/+97+Pl156KWbNmtV/rK+v750XPuGEeOGFF+Lss88+6LxcLhe5XC6f0QAA4H3ldce3uLg4pkyZEs3Nzf3H+vr6orm5OWpqag5af95558UzzzwTra2t/Y8vfvGLccUVV0Rra6u3MAAAMGLyuuMbEdHQ0BBz586NqVOnxrRp02LZsmXR3d0d8+bNi4iIOXPmxIQJE6KpqSlKSkriwgsvHHD+Rz/60YiIg44DAMBwyjt86+vrY+/evbFkyZJob2+PSZMmxcaNG/u/4a2trS0KC/1AOAAAji0FWZZloz3EB+nq6oqysrLo7OyM0tLS0R4HAIBhNhz959YsAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJGFL4Ll++PCZOnBglJSVRXV0dW7duPeTalStXxuWXXx5jxoyJMWPGRG1t7fuuBwCA4ZB3+K5duzYaGhqisbExtm/fHlVVVVFXVxd79uwZdP3mzZvjyiuvjF/96lfR0tISlZWV8bnPfS7++Mc/HvHwAABwuAqyLMvyOaG6ujouueSSuO+++yIioq+vLyorK+P666+PRYsWfeD5vb29MWbMmLjvvvtizpw5h/WaXV1dUVZWFp2dnVFaWprPuAAAHIeGo//yuuPb09MT27Zti9ra2r8+QWFh1NbWRktLy2E9xxtvvBFvvfVWnHrqqYdcc+DAgejq6hrwAACAI5FX+O7bty96e3ujvLx8wPHy8vJob28/rOe4+eabY/z48QPi+b2ampqirKys/1FZWZnPmAAAcJAR/VSHe+65J9asWROPPfZYlJSUHHLd4sWLo7Ozs/+xe/fuEZwSAIAPoxPyWTx27NgoKiqKjo6OAcc7OjqioqLifc/9zne+E/fcc0/84he/iM985jPvuzaXy0Uul8tnNAAAeF953fEtLi6OKVOmRHNzc/+xvr6+aG5ujpqamkOe9+1vfzvuuuuu2LhxY0ydOnXo0wIAwBDldcc3IqKhoSHmzp0bU6dOjWnTpsWyZcuiu7s75s2bFxERc+bMiQkTJkRTU1NERPz7v/97LFmyJB566KGYOHFi/3uBP/KRj8RHPvKRo3gpAABwaHmHb319fezduzeWLFkS7e3tMWnSpNi4cWP/N7y1tbVFYeFfbyR/73vfi56envi7v/u7Ac/T2NgY3/zmN49segAAOEx5f47vaPA5vgAAaRn1z/EFAIDjlfAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIgvAFACAJwhcAgCQIXwAAkiB8AQBIwpDCd/ny5TFx4sQoKSmJ6urq2Lp16/uuf+SRR+K8886LkpKSuOiii2LDhg1DGhYAAIYq7/Bdu3ZtNDQ0RGNjY2zfvj2qqqqirq4u9uzZM+j6LVu2xJVXXhnXXHNN7NixI2bPnh2zZ8+OZ5999oiHBwCAw1WQZVmWzwnV1dVxySWXxH333RcREX19fVFZWRnXX399LFq06KD19fX10d3dHY8//nj/sUsvvTQmTZoUK1asOKzX7OrqirKysujs7IzS0tJ8xgUA4Dg0HP13Qj6Le3p6Ytu2bbF48eL+Y4WFhVFbWxstLS2DntPS0hINDQ0DjtXV1cW6desO+ToHDhyIAwcO9H/d2dkZEe/8CwAA4MPv3e7L8x7t+8orfPft2xe9vb1RXl4+4Hh5eXk8//zzg57T3t4+6Pr29vZDvk5TU1PccccdBx2vrKzMZ1wAAI5zf/rTn6KsrOyoPFde4TtSFi9ePOAu8f79++OMM86Itra2o3bhHD+6urqisrIydu/e7a0uCbL/abP/abP/aevs7IzTTz89Tj311KP2nHmF79ixY6OoqCg6OjoGHO/o6IiKiopBz6moqMhrfURELpeLXC530PGysjL/4SestLTU/ifM/qfN/qfN/qetsPDoffpuXs9UXFwcU6ZMiebm5v5jfX190dzcHDU1NYOeU1NTM2B9RMSmTZsOuR4AAIZD3m91aGhoiLlz58bUqVNj2rRpsWzZsuju7o558+ZFRMScOXNiwoQJ0dTUFBERN9xwQ8yYMSOWLl0aM2fOjDVr1sTTTz8dDzzwwNG9EgAAeB95h299fX3s3bs3lixZEu3t7TFp0qTYuHFj/zewtbW1DbglPX369HjooYfitttui1tuuSU++clPxrp16+LCCy887NfM5XLR2Ng46Nsf+PCz/2mz/2mz/2mz/2kbjv3P+3N8AQDgeHT03i0MAADHMOELAEAShC8AAEkQvgAAJOGYCd/ly5fHxIkTo6SkJKqrq2Pr1q3vu/6RRx6J8847L0pKSuKiiy6KDRs2jNCkDId89n/lypVx+eWXx5gxY2LMmDFRW1v7gf+9cGzL99f/u9asWRMFBQUxe/bs4R2QYZXv/u/fvz8WLFgQ48aNi1wuF5/61Kf8P+A4lu/+L1u2LM4999w46aSTorKyMhYuXBh/+ctfRmhajpYnn3wyZs2aFePHj4+CgoJYt27dB56zefPmuPjiiyOXy8U555wTq1evzv+Fs2PAmjVrsuLi4mzVqlXZb37zm+zaa6/NPvrRj2YdHR2Drv/1r3+dFRUVZd/+9rez3/72t9ltt92WnXjiidkzzzwzwpNzNOS7/1dddVW2fPnybMeOHdlzzz2X/cM//ENWVlaW/eEPfxjhyTka8t3/d+3atSubMGFCdvnll2df+tKXRmZYjrp89//AgQPZ1KlTsy984QvZU089le3atSvbvHlz1traOsKTczTku/8//vGPs1wul/34xz/Odu3alT3xxBPZuHHjsoULF47w5BypDRs2ZLfeemv26KOPZhGRPfbYY++7fufOndnJJ5+cNTQ0ZL/97W+z7373u1lRUVG2cePGvF73mAjfadOmZQsWLOj/ure3Nxs/fnzW1NQ06Povf/nL2cyZMwccq66uzv7pn/5pWOdkeOS7/+/19ttvZ6ecckr2wx/+cLhGZBgNZf/ffvvtbPr06dmDDz6YzZ07V/gex/Ld/+9973vZWWedlfX09IzUiAyjfPd/wYIF2d/8zd8MONbQ0JBddtllwzonw+twwvemm27KPv3pTw84Vl9fn9XV1eX1WqP+Voeenp7Ytm1b1NbW9h8rLCyM2traaGlpGfSclpaWAesjIurq6g65nmPXUPb/vd54441466234tRTTx2uMRkmQ93/O++8M0477bS45pprRmJMhslQ9v9nP/tZ1NTUxIIFC6K8vDwuvPDCuPvuu6O3t3ekxuYoGcr+T58+PbZt29b/doidO3fGhg0b4gtf+MKIzMzoOVrtl/dPbjva9u3bF729vf0/+e1d5eXl8fzzzw96Tnt7+6Dr29vbh21OhsdQ9v+9br755hg/fvxBvyA49g1l/5966qn4wQ9+EK2trSMwIcNpKPu/c+fO+OUvfxlf/epXY8OGDfHiiy/GN77xjXjrrbeisbFxJMbmKBnK/l911VWxb9+++OxnPxtZlsXbb78d1113Xdxyyy0jMTKj6FDt19XVFW+++WacdNJJh/U8o37HF47EPffcE2vWrInHHnssSkpKRnschtlrr70WV199daxcuTLGjh072uMwCvr6+uK0006LBx54IKZMmRL19fVx6623xooVK0Z7NEbA5s2b4+677477778/tm/fHo8++misX78+7rrrrtEejePEqN/xHTt2bBQVFUVHR8eA4x0dHVFRUTHoORUVFXmt59g1lP1/13e+852455574he/+EV85jOfGc4xGSb57v/vf//7eOmll2LWrFn9x/r6+iIi4oQTTogXXnghzj777OEdmqNmKL/+x40bFyeeeGIUFRX1Hzv//POjvb09enp6ori4eFhn5ugZyv7ffvvtcfXVV8f8+fMjIuKiiy6K7u7u+NrXvha33nprFBa6n/dhdaj2Ky0tPey7vRHHwB3f4uLimDJlSjQ3N/cf6+vri+bm5qipqRn0nJqamgHrIyI2bdp0yPUcu4ay/xER3/72t+Ouu+6KjRs3xtSpU0diVIZBvvt/3nnnxTPPPBOtra39jy9+8YtxxRVXRGtra1RWVo7k+Byhofz6v+yyy+LFF1/s/wNPRMTvfve7GDdunOg9zgxl/994442D4vbdPwS98z1SfFgdtfbL7/vuhseaNWuyXC6XrV69Ovvtb3+bfe1rX8s++tGPZu3t7VmWZdnVV1+dLVq0qH/9r3/96+yEE07IvvOd72TPPfdc1tjY6OPMjmP57v8999yTFRcXZz/5yU+yV155pf/x2muvjdYlcATy3f/38qkOx7d897+trS075ZRTsn/+53/OXnjhhezxxx/PTjvttOxb3/rWaF0CRyDf/W9sbMxOOeWU7H//93+znTt3Zj//+c+zs88+O/vyl788WpfAEL322mvZjh07sh07dmQRkd17773Zjh07spdffjnLsixbtGhRdvXVV/evf/fjzP71X/81e+6557Lly5cfvx9nlmVZ9t3vfjc7/fTTs+Li4mzatGnZ//3f//X/sxkzZmRz584dsP7hhx/OPvWpT2XFxcXZpz/96Wz9+vUjPDFHUz77f8YZZ2QRcdCjsbFx5AfnqMj31///T/ge//Ld/y1btmTV1dVZLpfLzjrrrOzf/u3fsrfffnuEp+ZoyWf/33rrreyb3/xmdvbZZ2clJSVZZWVl9o1vfCP785//PPKDc0R+9atfDfr/8nf3e+7cudmMGTMOOmfSpElZcXFxdtZZZ2X//d//nffrFmSZvxsAAODDb9Tf4wsAACNB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJEL4AACRB+AIAkAThCwBAEoQvAABJ+H/ttOlYyUtz1QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "ax1=fig.add_axes([0,0,1,1])\n",
    "ax2=fig.add_axes([0.2,0.5,.2,.2])\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now plot (x,y) on both axes. And call your figure object to show it.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1.plot(x,y,'r')\n",
    "ax2.plot(x,y,'r')\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('y')\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('y')\n",
    "\n",
    "fig"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3\n",
    "\n",
    "** Create the plot below by adding two axes to a figure object at [0,0,1,1] and [0.2,0.5,.4,.4]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1=fig.add_axes([0,0,1,1])\n",
    "ax2=fig.add_axes([0.2,0.5,.4,.4])\n",
    "fig"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now use x,y, and z arrays to recreate the plot below. Notice the xlimits and y limits on the inserted plot:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1.plot(x,z,'b')\n",
    "ax2.plot(x,y,'b')\n",
    "ax1.set_xlabel('X')\n",
    "ax1.set_ylabel('Z')\n",
    "ax2.set_xlabel('X')\n",
    "ax2.set_ylabel('Y')\n",
    "ax2.set_xlim(20,22)\n",
    "ax2.set_ylim(30,50)\n",
    "ax2.set_title('zoom')\n",
    "fig"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 4\n",
    "\n",
    "** Use plt.subplots(nrows=1, ncols=2) to create the plot below.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(nrows=1,ncols=2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now plot (x,y) and (x,z) on the axes. Play around with the linewidth and style**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x253dc222c10>]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1,2,1)\n",
    "plt.plot(x,y,'b--')\n",
    "plt.subplot(1,2,2)\n",
    "plt.plot(x,z,'r')\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** See if you can resize the plot by adding the figsize() argument in plt.subplots() are copying and pasting your previous code.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tamog\\AppData\\Local\\Temp\\ipykernel_22564\\2530205493.py:3: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
      "  plt.subplot(1,2,1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x253dd25b850>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(figsize=(20,3))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.plot(x,y,'b')\n",
    "plt.subplot(1,2,2)\n",
    "plt.plot(x,z,'r--')\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Great Job!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}