Boolean_indexlash.ipynb

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      "metadata": {
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      "source": [
        "import numpy as np"
      ]
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      "source": [
        "names = np.array ([\"Otabek\", \"Muzaffar\", \"E'zoza\", \"Sunnat\", \"Alisher\", \"Feruza\"])\n",
        "names"
      ],
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            "text/plain": [
              "array(['Otabek', 'Muzaffar', \"E'zoza\", 'Sunnat', 'Alisher', 'Feruza'],\n",
              "      dtype='<U8')"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
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        "data = np.random.randn (6, 3)\n",
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              "array([[ 1.7063056 ,  1.60160628,  0.70915027],\n",
              "       [ 0.97163676, -0.73407266, -1.32651401],\n",
              "       [ 1.29641705, -0.88992591, -0.95061986],\n",
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              "       [-0.34634261,  0.03228203,  0.68366173]])"
            ]
          },
          "metadata": {},
          "execution_count": 15
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        "names == \"Muzaffar\""
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            "text/plain": [
              "array([False,  True, False, False, False, False])"
            ]
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              "array([[ 0.97163676, -0.73407266, -1.32651401]])"
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              "array([[ 0.97163676, -0.73407266, -1.32651401],\n",
              "       [ 1.29641705, -0.88992591, -0.95061986],\n",
              "       [-1.53420362, -0.97080281,  0.48052864],\n",
              "       [ 0.20226052,  0.72200158,  0.33973984],\n",
              "       [-0.34634261,  0.03228203,  0.68366173]])"
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          "metadata": {},
          "execution_count": 19
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      "source": [
        "data [ data < 0]"
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              "array([-0.73407266, -1.32651401, -0.88992591, -0.95061986, -1.53420362,\n",
              "       -0.97080281, -0.34634261])"
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          "execution_count": 21
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        "data [data > 0] = 0\n",
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              "array([[ 0.        ,  0.        ,  0.        ],\n",
              "       [ 0.        , -0.73407266, -1.32651401],\n",
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        "arr = (names == \"Otabek\") | (names == \"Muzaffar\")\n",
        "arr"
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              "array([ True,  True, False, False, False, False])"
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