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shimizukawa/pandas+3-dimensions.ipynb

Created August 2, 2017 05:59
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pandas+3-dimensions.ipynb
{
"cells": [
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"cell_type": "code",
"execution_count": 1,
"metadata": {
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"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]])"
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],
"source": [
"data2 = np.arange(9).reshape((3,3))\n",
"data2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
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],
"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]]])"
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"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data3 = np.arange(27).reshape((3,3,3))\n",
"data3"
]
},
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"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
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"<div>\n",
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"metadata": {},
"output_type": "execute_result"
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"source": [
"df3 = pd.DataFrame(list(zip(*data3)))\n",
"df3"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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" <th rowspan=\"3\" valign=\"top\">2</th>\n",
" <th>0</th>\n",
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" 0 1 2\n",
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"metadata": {},
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"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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"display_name": "Python 3",
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