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jshirius/pandas_test.ipynb

Created October 26, 2019 01:14
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pandasのサンプル！データの抽出(iloc,loc)、データの更新、データの追加、時間比較(データの抽出)
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pandas_test.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"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>id</th>\n",
" <th>date</th>\n",
" <th>数値</th>\n",
" <th>コメント</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2017-10-01</td>\n",
" <td>600</td>\n",
" <td>cash</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>2017-10-02</td>\n",
" <td>1000</td>\n",
" <td>card1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>2017-10-02</td>\n",
" <td>2000</td>\n",
" <td>card1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>2017-10-03</td>\n",
" <td>2400</td>\n",
" <td>card2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>2017-10-04</td>\n",
" <td>900</td>\n",
" <td>card3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>2017-10-05</td>\n",
" <td>2200</td>\n",
" <td>card3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id date 数値 コメント\n",
"0 1 2017-10-01 600 cash\n",
"1 2 2017-10-02 1000 card1\n",
"2 3 2017-10-02 2000 card1\n",
"3 4 2017-10-03 2400 card2\n",
"4 5 2017-10-04 900 card3\n",
"5 6 2017-10-05 2200 card3"
]
},
"metadata": {},
"output_type": "display_data"
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"data": {
"text/plain": [
"id int64\n",
"date object\n",
"数値 int64\n",
"コメント object\n",
"dtype: object"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import datetime as dt\n",
"\n",
"#csvデータを読み込む\n",
"df = pd.read_csv('pandas_test' + '.csv', header=0) \n",
"display(df)\n",
"\n",
"#データ・タイプの確認\n",
"display(df.dtypes)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"id 2\n",
"date 2017-10-02\n",
"数値 1000\n",
"コメント card1\n",
"Name: 1, dtype: object"
]
},
"metadata": {},
"output_type": "display_data"
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{
"data": {
"text/plain": [
"1000"
]
},
"metadata": {},
"output_type": "display_data"
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],
"source": [
"#########################\n",
"#データ取り出す操作 ilocにて\n",
"#ilocは数値を選択して取り出すもの。先頭のiはint型の意味か\n",
"#########################\n",
"\n",
"#２行目のデータ取り出す\n",
"a = df.iloc[1]\n",
"display(a)\n",
"\n",
"#２行目３列目のデータ取得\n",
"a = df.iloc[1,2]\n",
"display(a)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 2017-10-01\n",
"1 2017-10-02\n",
"2 2017-10-02\n",
"3 2017-10-03\n",
"4 2017-10-04\n",
"5 2017-10-05\n",
"Name: date, dtype: object"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'card1'"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#########################\n",
"#データ取り出す操作 locにて\n",
"#iocは名前を選択して取り出すもの。\n",
"#ただし、行については数値で指定しても大丈夫だ\n",
"#########################\n",
"\n",
"#dateの列だけ取得する\n",
"a = df.loc[:,\"date\"]\n",
"display(a)\n",
"\n",
"#２行目の「コメント」列の情報を取りたい場合の指定方法\n",
"a = df.loc[1,\"コメント\"]\n",
"display(a)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
" <th>id</th>\n",
" <th>date</th>\n",
" <th>数値</th>\n",
" <th>コメント</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2017-10-01</td>\n",
" <td>600</td>\n",
" <td>cash</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>2017-10-02</td>\n",
" <td>1000</td>\n",
" <td>コメントの更新してみる</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>2017-10-02</td>\n",
" <td>2000</td>\n",
" <td>card1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>2017-10-03</td>\n",
" <td>2400</td>\n",
" <td>card2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>2017-10-04</td>\n",
" <td>900</td>\n",
" <td>card3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>2017-10-05</td>\n",
" <td>2200</td>\n",
" <td>card3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id date 数値 コメント\n",
"0 1 2017-10-01 600 cash\n",
"1 2 2017-10-02 1000 コメントの更新してみる\n",
"2 3 2017-10-02 2000 card1\n",
"3 4 2017-10-03 2400 card2\n",
"4 5 2017-10-04 900 card3\n",
"5 6 2017-10-05 2200 card3"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#########################\n",
"#データの更新\n",
"#########################\n",
"\n",
"#２行目４列目(コメント)のデータを更新する\n",
"df.loc[1,\"コメント\"] = \"コメントの更新してみる\"\n",
"display(df)\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>id</th>\n",
" <th>date</th>\n",
" <th>数値</th>\n",
" <th>コメント</th>\n",
" <th>コメント2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2017-10-01</td>\n",
" <td>600</td>\n",
" <td>cash</td>\n",
" <td>コメントカラム追加</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>2017-10-02</td>\n",
" <td>1000</td>\n",
" <td>コメントの更新してみる</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>2017-10-02</td>\n",
" <td>2000</td>\n",
" <td>card1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>2017-10-03</td>\n",
" <td>2400</td>\n",
" <td>card2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>2017-10-04</td>\n",
" <td>900</td>\n",
" <td>card3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>2017-10-05</td>\n",
" <td>2200</td>\n",
" <td>card3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id date 数値 コメント コメント2\n",
"0 1 2017-10-01 600 cash コメントカラム追加\n",
"1 2 2017-10-02 1000 コメントの更新してみる NaN\n",
"2 3 2017-10-02 2000 card1 NaN\n",
"3 4 2017-10-03 2400 card2 NaN\n",
"4 5 2017-10-04 900 card3 NaN\n",
"5 6 2017-10-05 2200 card3 NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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"<div>\n",
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" <th>id</th>\n",
" <th>date</th>\n",
" <th>数値</th>\n",
" <th>コメント</th>\n",
" <th>コメント2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2017-10-01</td>\n",
" <td>600</td>\n",
" <td>cash</td>\n",
" <td>コメントカラム追加</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>2017-10-02</td>\n",
" <td>1000</td>\n",
" <td>コメントの更新してみる</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>2017-10-02</td>\n",
" <td>2000</td>\n",
" <td>card1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>2017-10-03</td>\n",
" <td>2400</td>\n",
" <td>card2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>2017-10-04</td>\n",
" <td>900</td>\n",
" <td>card3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>2017-10-05</td>\n",
" <td>2200</td>\n",
" <td>card3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>2017-10-06</td>\n",
" <td>3000</td>\n",
" <td>card4</td>\n",
" <td>なにか</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id date 数値 コメント コメント2\n",
"0 1 2017-10-01 600 cash コメントカラム追加\n",
"1 2 2017-10-02 1000 コメントの更新してみる NaN\n",
"2 3 2017-10-02 2000 card1 NaN\n",
"3 4 2017-10-03 2400 card2 NaN\n",
"4 5 2017-10-04 900 card3 NaN\n",
"5 6 2017-10-05 2200 card3 NaN\n",
"6 7 2017-10-06 3000 card4 なにか"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#########################\n",
"#データの追加\n",
"#########################\n",
"\n",
"#とりあえずカラムを追加する\n",
"#この動きとしては、「コメント2」カラムが追加されて、１行目にデータが代入される。データが無いところはNullになる\n",
"df.loc[0,\"コメント2\"] = \"コメントカラム追加\"\n",
"display(df)\n",
"\n",
"#行を追加してみるよ。\n",
"#行を追加するためSeriesを作る。\n",
"#変数 = pd.Series(データの配列, index = 横行の名前の配列)\n",
"tmp_se = pd.Series( [ 7 , \"2017-10-06\", 3000, \"card4\", \"なにか\" ], index=df.columns )\n",
"#df.append( tmp_se ) NG\n",
"#「ignore_index=True」がないと「TypeError: Can only append a Series if ignore_index=True or if the Series has a name」というエラーが出る\n",
"#原因はindexの指定が無いから\n",
"df = df.append( tmp_se ,ignore_index=True)\n",
"display(df)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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" <th>数値</th>\n",
" <th>コメント</th>\n",
" <th>コメント2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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"</table>\n",
"</div>"
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"text/plain": [
"Empty DataFrame\n",
"Columns: [id, date, 数値, コメント, コメント2]\n",
"Index: []"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"id int64\n",
"date datetime64[ns]\n",
"数値 int64\n",
"コメント object\n",
"コメント2 object\n",
"dtype: object\n"
]
},
{
"data": {
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" <th>数値</th>\n",
" <th>コメント</th>\n",
" <th>コメント2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>2017-10-05</td>\n",
" <td>2200</td>\n",
" <td>card3</td>\n",
" <td>NaN</td>\n",
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"</div>"
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"text/plain": [
" id date 数値 コメント コメント2\n",
"5 6 2017-10-05 2200 card3 NaN"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#########################\n",
"#時間の比較\n",
"#データの抽出\n",
"#########################\n",
"\n",
"#まず失敗するケース\n",
"#「2017-10-05」同じ日付の行だけ抽出したケース\n",
"#結果は、１件もデータ取得できない\n",
"a = df[ df[\"date\"] == dt.datetime(2017, 10, 5)]\n",
"display(a)\n",
"\n",
"#原因はdateが日付型(datetime64)になっていないため\n",
"#この結果、カラム「date」は、datetime64[ns]型の変数に変化する\n",
"df['date'] = pd.to_datetime(df['date'], format='%Y-%m-%d')\n",
"print(df.dtypes)\n",
"\n",
"#「date」カラムをdatetime64にした状態で2017年10月5日の行を取得してみるよ\n",
"#その結果、正しく2017年10月5日の行のデータを取得できたことを確認できた。\n",
"a = df[ df[\"date\"] == dt.datetime(2017, 10, 5)]\n",
"display(a)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
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"cell_type": "code",
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"file_extension": ".py",
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