Section 5 Python for Data Analysis - NumPy and Selection.ipynb

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    "# NumPy Indexing and Selection"
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    "arr[:6] # the same as saying 0:6"
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    "arr[0:5] = 100 # broadcast in all 0:5"
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    "## 2D Array"
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    "arr_2d = np.array([[5, 10, 15], [20, 25, 30], [35, 40, 45]])"
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       "<pre>array([[ 5, 10, 15],\n",
       "       [20, 25, 30],\n",
       "       [35, 40, 45]])<\/pre>"
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    "# grabbing values in 2d array - double bracket and single bracket format (recommended)\n",
    "\n",
    "# grab '5'\n",
    "arr_2d[0][0]"
   ],
   "execution_count":31,
   "outputs":[
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     "data":{
      "text\/plain":[
       "5"
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       "<pre>array([ 5, 10, 15])<\/pre>"
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   "execution_count":33,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "25"
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    "arr_2d[2][1]"
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   "execution_count":34,
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    {
     "data":{
      "text\/plain":[
       "40"
      ]
     },
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   "source":[
    "arr_2d[2, 1] # row comma column number"
   ],
   "execution_count":35,
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       "40"
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    "arr_2d[1, 2]"
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   "execution_count":37,
   "outputs":[
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     "data":{
      "text\/plain":[
       "30"
      ]
     },
     "metadata":{
      
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   "execution_count":38,
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     "data":{
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       "30"
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   "source":[
    "arr_2d[:2,1:] # slice notation - grab anything starting from row 2 and from column 1 onwards"
   ],
   "execution_count":39,
   "outputs":[
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       "<pre>array([[10, 15],\n",
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    "arr_2d[:2]"
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   "source":[
    "## Conditional Selections"
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    "arr = np.arange(1, 11)"
   ],
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   ],
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   "source":[
    "arr > 5"
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   "execution_count":43,
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    "bool_arr = arr > 5"
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   "execution_count":45,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([False, False, False, False, False,  True,  True,  True,  True,\n",
       "        True])<\/pre>"
      ]
     },
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     },
     "output_type":"display_data"
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     "hide_output_from_viewers":true
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  {
   "cell_type":"code",
   "source":[
    "arr[bool_arr] # only returns instances where that boolean array is true"
   ],
   "execution_count":46,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([ 6,  7,  8,  9, 10])<\/pre>"
      ]
     },
     "metadata":{
      
     },
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   ],
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     "hide_output_from_viewers":true
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  {
   "cell_type":"code",
   "source":[
    "arr[arr > 5] "
   ],
   "execution_count":47,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([ 6,  7,  8,  9, 10])<\/pre>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
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   ],
   "metadata":{
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     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "arr[arr < 3]"
   ],
   "execution_count":48,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([1, 2])<\/pre>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
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     "node_id":"0g9WuiGXHNjJudTFzBq8eX",
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     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
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  {
   "cell_type":"code",
   "source":[
    "arr_2d = np.arange(50).reshape(5, 10)"
   ],
   "execution_count":49,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"HX1d3upX3m3yunVFr8ZUSE",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
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  {
   "cell_type":"code",
   "source":[
    "arr_2d"
   ],
   "execution_count":50,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],\n",
       "       [10, 11, 12, 13, 14, 15, 16, 17, 18, 19],\n",
       "       [20, 21, 22, 23, 24, 25, 26, 27, 28, 29],\n",
       "       [30, 31, 32, 33, 34, 35, 36, 37, 38, 39],\n",
       "       [40, 41, 42, 43, 44, 45, 46, 47, 48, 49]])<\/pre>"
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     "hide_output_from_viewers":true
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  {
   "cell_type":"code",
   "source":[
    "arr_2d[1:3,]"
   ],
   "execution_count":51,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],\n",
       "       [20, 21, 22, 23, 24, 25, 26, 27, 28, 29]])<\/pre>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
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     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
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   }
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  {
   "cell_type":"code",
   "source":[
    "arr_2d[1:3,3:5]"
   ],
   "execution_count":52,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<pre>array([[13, 14],\n",
       "       [23, 24]])<\/pre>"
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     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
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     "hide_output_from_viewers":true
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