LABS/LAB 10. 2D Numpy Arrays.ipynb

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      "<class 'numpy.ndarray'>\n",
      "(4, 2)\n"
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   "source": [
    "# Create baseball, a list of lists\n",
    "baseball = [[180, 78.4],\n",
    "            [215, 102.7],\n",
    "            [210, 98.5],\n",
    "            [188, 75.2]]\n",
    "\n",
    "# Import numpy\n",
    "import numpy as np\n",
    "\n",
    "# Create a 2D Numpy array from baseball: np_baseball\n",
    "np_baseball = np.array(baseball)\n",
    "\n",
    "# Print out the type of np_baseball\n",
    "print(type(np_baseball))\n",
    "\n",
    "# Print out the shape of np_baseball\n",
    "print(np_baseball.shape)"
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    "# baseball is available as a regular list of lists\n",
    "\n",
    "# Import numpy package\n",
    "import numpy as np\n",
    "\n",
    "# Create a 2D Numpy array from baseball: np_baseball\n",
    "np_baseball = np.array(baseball)\n",
    "\n",
    "# Print out the shape of np_baseball\n",
    "print(np_baseball.shape)"
   ]
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    "# baseball is available as a regular list of lists\n",
    "\n",
    "# Import numpy package\n",
    "import numpy as np\n",
    "\n",
    "# Create np_baseball (2 cols)\n",
    "np_baseball = np.array(baseball)\n",
    "\n",
    "# Print out the 50th row of np_baseball\n",
    "print(np_baseball[49,:])\n",
    "\n",
    "# Select the entire second column of np_baseball: np_weight\n",
    "np_weight = np_baseball[:, 1]\n",
    "\n",
    "# Print out height of 124th player\n",
    "print(np_baseball[123, 0])"
   ]
  },
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    "# baseball is available as a regular list of lists\n",
    "# update is available as 2D Numpy array\n",
    "\n",
    "# Import numpy package\n",
    "import numpy as np\n",
    "\n",
    "# Create np_baseball (3 cols)\n",
    "np_baseball = np.array(baseball)\n",
    "\n",
    "# Print out addition of np_baseball and update\n",
    "print(np_baseball+update)\n",
    "\n",
    "# Create Numpy array: conversion\n",
    "conversion = np.array([0.0254, 0.453592, 1])\n",
    "\n",
    "# Print out product of np_baseball and conversion\n",
    "print(np_baseball*conversion)"
   ]
  }
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