Skip to content

Instantly share code, notes, and snippets.

@kurozumi

kurozumi/カラム名でソート.ipynb

Created January 26, 2018 14:55
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save kurozumi/6e0f14fd3d55f2f1e508e6689525974c to your computer and use it in GitHub Desktop.
Save kurozumi/6e0f14fd3d55f2f1e508e6689525974c to your computer and use it in GitHub Desktop.
Download ZIP
カラム名でソート
Display the source blob
Display the rendered blob
Raw
カラム名でソート.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# index作成\n",
"dates = pd.date_range('20180101', periods=10)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# 行列のデータフレーム作成\n",
"df = pd.DataFrame(np.random.randn(10,4), index=dates, columns=list(\"1ACB\"))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>1</th>\n",
" <th>A</th>\n",
" <th>C</th>\n",
" <th>B</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2018-01-01</th>\n",
" <td>1.312163</td>\n",
" <td>1.005007</td>\n",
" <td>-0.809235</td>\n",
" <td>0.130603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-02</th>\n",
" <td>0.822625</td>\n",
" <td>0.622604</td>\n",
" <td>1.951516</td>\n",
" <td>-0.941157</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-03</th>\n",
" <td>-0.385865</td>\n",
" <td>0.362374</td>\n",
" <td>1.060811</td>\n",
" <td>-0.660205</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-04</th>\n",
" <td>-2.134609</td>\n",
" <td>-1.120589</td>\n",
" <td>-0.413001</td>\n",
" <td>-0.517769</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-05</th>\n",
" <td>0.721890</td>\n",
" <td>0.980838</td>\n",
" <td>-0.449469</td>\n",
" <td>2.000011</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-06</th>\n",
" <td>2.046184</td>\n",
" <td>0.041131</td>\n",
" <td>-0.405716</td>\n",
" <td>0.624973</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-07</th>\n",
" <td>1.287008</td>\n",
" <td>-0.746969</td>\n",
" <td>2.964660</td>\n",
" <td>-0.068059</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-08</th>\n",
" <td>0.679277</td>\n",
" <td>-0.489561</td>\n",
" <td>0.703974</td>\n",
" <td>0.483894</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-09</th>\n",
" <td>-1.227798</td>\n",
" <td>-0.139707</td>\n",
" <td>0.615293</td>\n",
" <td>-2.123351</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-10</th>\n",
" <td>-0.084955</td>\n",
" <td>0.527356</td>\n",
" <td>1.100032</td>\n",
" <td>1.527765</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 1 A C B\n",
"2018-01-01 1.312163 1.005007 -0.809235 0.130603\n",
"2018-01-02 0.822625 0.622604 1.951516 -0.941157\n",
"2018-01-03 -0.385865 0.362374 1.060811 -0.660205\n",
"2018-01-04 -2.134609 -1.120589 -0.413001 -0.517769\n",
"2018-01-05 0.721890 0.980838 -0.449469 2.000011\n",
"2018-01-06 2.046184 0.041131 -0.405716 0.624973\n",
"2018-01-07 1.287008 -0.746969 2.964660 -0.068059\n",
"2018-01-08 0.679277 -0.489561 0.703974 0.483894\n",
"2018-01-09 -1.227798 -0.139707 0.615293 -2.123351\n",
"2018-01-10 -0.084955 0.527356 1.100032 1.527765"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# データフレーム表示\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>C</th>\n",
" <th>B</th>\n",
" <th>A</th>\n",
" <th>1</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2018-01-01</th>\n",
" <td>-0.809235</td>\n",
" <td>0.130603</td>\n",
" <td>1.005007</td>\n",
" <td>1.312163</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-02</th>\n",
" <td>1.951516</td>\n",
" <td>-0.941157</td>\n",
" <td>0.622604</td>\n",
" <td>0.822625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-03</th>\n",
" <td>1.060811</td>\n",
" <td>-0.660205</td>\n",
" <td>0.362374</td>\n",
" <td>-0.385865</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-04</th>\n",
" <td>-0.413001</td>\n",
" <td>-0.517769</td>\n",
" <td>-1.120589</td>\n",
" <td>-2.134609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-05</th>\n",
" <td>-0.449469</td>\n",
" <td>2.000011</td>\n",
" <td>0.980838</td>\n",
" <td>0.721890</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-06</th>\n",
" <td>-0.405716</td>\n",
" <td>0.624973</td>\n",
" <td>0.041131</td>\n",
" <td>2.046184</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-07</th>\n",
" <td>2.964660</td>\n",
" <td>-0.068059</td>\n",
" <td>-0.746969</td>\n",
" <td>1.287008</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-08</th>\n",
" <td>0.703974</td>\n",
" <td>0.483894</td>\n",
" <td>-0.489561</td>\n",
" <td>0.679277</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-09</th>\n",
" <td>0.615293</td>\n",
" <td>-2.123351</td>\n",
" <td>-0.139707</td>\n",
" <td>-1.227798</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018-01-10</th>\n",
" <td>1.100032</td>\n",
" <td>1.527765</td>\n",
" <td>0.527356</td>\n",
" <td>-0.084955</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" C B A 1\n",
"2018-01-01 -0.809235 0.130603 1.005007 1.312163\n",
"2018-01-02 1.951516 -0.941157 0.622604 0.822625\n",
"2018-01-03 1.060811 -0.660205 0.362374 -0.385865\n",
"2018-01-04 -0.413001 -0.517769 -1.120589 -2.134609\n",
"2018-01-05 -0.449469 2.000011 0.980838 0.721890\n",
"2018-01-06 -0.405716 0.624973 0.041131 2.046184\n",
"2018-01-07 2.964660 -0.068059 -0.746969 1.287008\n",
"2018-01-08 0.703974 0.483894 -0.489561 0.679277\n",
"2018-01-09 0.615293 -2.123351 -0.139707 -1.227798\n",
"2018-01-10 1.100032 1.527765 0.527356 -0.084955"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# カラム名でソートする\n",
"df.sort_index(axis=1, ascending=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment