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August 2, 2017 05:59
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| { | |
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| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "import pandas as pd" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# 2次元データ" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([[0, 1, 2],\n", | |
| " [3, 4, 5],\n", | |
| " [6, 7, 8]])" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "data2 = np.arange(9).reshape((3,3))\n", | |
| "data2" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style>\n", | |
| " .dataframe thead tr:only-child th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: left;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
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| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>0</th>\n", | |
| " <th>1</th>\n", | |
| " <th>2</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>3</td>\n", | |
| " <td>4</td>\n", | |
| " <td>5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>6</td>\n", | |
| " <td>7</td>\n", | |
| " <td>8</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 0 1 2\n", | |
| "0 0 1 2\n", | |
| "1 3 4 5\n", | |
| "2 6 7 8" | |
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| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df2 = pd.DataFrame(data2)\n", | |
| "df2" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# 3次元データ" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([[[ 0, 1, 2],\n", | |
| " [ 3, 4, 5],\n", | |
| " [ 6, 7, 8]],\n", | |
| "\n", | |
| " [[ 9, 10, 11],\n", | |
| " [12, 13, 14],\n", | |
| " [15, 16, 17]],\n", | |
| "\n", | |
| " [[18, 19, 20],\n", | |
| " [21, 22, 23],\n", | |
| " [24, 25, 26]]])" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "data3 = np.arange(27).reshape((3,3,3))\n", | |
| "data3" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
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| " <td>[0, 1, 2]</td>\n", | |
| " <td>[9, 10, 11]</td>\n", | |
| " <td>[18, 19, 20]</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>[3, 4, 5]</td>\n", | |
| " <td>[12, 13, 14]</td>\n", | |
| " <td>[21, 22, 23]</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>[6, 7, 8]</td>\n", | |
| " <td>[15, 16, 17]</td>\n", | |
| " <td>[24, 25, 26]</td>\n", | |
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| "text/plain": [ | |
| " 0 1 2\n", | |
| "0 [0, 1, 2] [9, 10, 11] [18, 19, 20]\n", | |
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| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df3 = pd.DataFrame(list(zip(*data3)))\n", | |
| "df3" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
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| " <td>24</td>\n", | |
| " <td>25</td>\n", | |
| " <td>26</td>\n", | |
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| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "idx = pd.MultiIndex.from_product([range(3), range(3)])\n", | |
| "df3 = pd.DataFrame(data3.reshape((9, 3)), index=idx)\n", | |
| "df3" | |
| ] | |
| } | |
| ], | |
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