LABS/LAB 11. Basic Statistics with Numpy.ipynb

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    "# np_baseball is available\n",
    "\n",
    "# Import numpy\n",
    "import numpy as np\n",
    "\n",
    "# Create np_height from np_baseball\n",
    "np_height = np_baseball[:, 0]\n",
    "\n",
    "# Print out the mean of np_height\n",
    "print(np.mean(np_height))\n",
    "\n",
    "# Print out the median of np_height\n",
    "print(np.median(np_height))"
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    "# np_baseball is available\n",
    "\n",
    "# Import numpy\n",
    "import numpy as np\n",
    "\n",
    "# Print mean height (first column)\n",
    "avg = np.mean(np_baseball[:,0])\n",
    "print(\"Average: \" + str(avg))\n",
    "\n",
    "# Print median height. Replace 'None'\n",
    "med = np.median(np_baseball[:, 0])\n",
    "print(\"Median: \" + str(med))\n",
    "\n",
    "# Print out the standard deviation on height. Replace 'None'\n",
    "stddev = np.std(np_baseball[:, 0])\n",
    "print(\"Standard Deviation: \" + str(stddev))\n",
    "\n",
    "# Print out correlation between first and second column. Replace 'None'\n",
    "corr = np.corrcoef(np_baseball[:, 0], np_baseball[:, 1])\n",
    "print(\"Correlation: \" + str(corr))"
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    "# heights and positions are available as lists\n",
    "\n",
    "# Import numpy\n",
    "import numpy as np\n",
    "\n",
    "# Convert positions and heights to numpy arrays: np_positions, np_heights\n",
    "np_positions = np.array(positions)\n",
    "np_heights = np.array(heights)\n",
    "\n",
    "# Heights of the goalkeepers: gk_heights\n",
    "gk_heights = np_heights[np_positions == \"GK\"]\n",
    "\n",
    "# Heights of the other players: other_heights\n",
    "other_heights = np_heights[np_positions != \"GK\"]\n",
    "\n",
    "# Print out the median height of goalkeepers. Replace 'None'\n",
    "print(\"Median height of goalkeepers: \" + str(np.median(gk_heights)))\n",
    "\n",
    "# Print out the median height of other players. Replace 'None'\n",
    "print(\"Median height of other players: \" + str(np.median(other_heights)))"
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