{"id":4312,"date":"2024-01-17T18:48:12","date_gmt":"2024-01-17T09:48:12","guid":{"rendered":"https:\/\/blog.since2020.jp\/?p=4312"},"modified":"2024-01-17T18:48:12","modified_gmt":"2024-01-17T09:48:12","slug":"datedata","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/datedata\/","title":{"rendered":"\u65e5\u4ed8\u30c7\u30fc\u30bf\u306e\u5468\u671f\u6027\u62bd\u51fa\u65b9\u6cd5"},"content":{"rendered":"\n

\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u7279\u5fb4\u91cf\u3068\u3057\u3066\u65e5\u4ed8\u3084\u6642\u523b\u306a\u3069\u306e\u60c5\u5831\u3092\u6271\u3046\u969b\u306b\u3001\u5468\u671f\u6027\u30fb\u5faa\u74b0\u6027\u3092\u8003\u616e\u3059\u308b\u305f\u3081\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n

\u65e5\u4ed8\u3084\u6642\u9593\u306e\u30c7\u30fc\u30bf\u306f\u3001\u5b9f\u969b\u306b\u306f\u9023\u7d9a\u7684\u3067\u3042\u3063\u3066\u3082\u3001\u30c7\u30fc\u30bf\u4e0a\u3067\u306f\u975e\u9023\u7d9a\u7684\u306b\u8868\u73fe\u3055\u308c\u308b\u3053\u3068\u304c\u3088\u304f\u898b\u3089\u308c\u307e\u3059\u3002\u305d\u3053\u3067\u672c\u8a18\u4e8b\u3067\u306f\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u4f7f\u7528\u3057\u3066\u5468\u671f\u6027\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u7126\u70b9\u3092\u5f53\u3066\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n

\u306a\u305c\u4e09\u89d2\u95a2\u6570\u306b\u3088\u308b\u5909\u63db\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\uff1f<\/h2>\n

\u65e5\u4ed8\u3092\u4f8b\u306b\u8003\u3048\u3066\u307f\u308b\u3068\u30012023-12-31\uff0812\u670831\u65e5\uff09\u306e\u6b21\u306f\u30012024-01-01\uff081\u67081\u65e5\uff09\u3067\u3059\u304c\u3001\u30c7\u30fc\u30bf\u4e0a\u3067\u306f\u3053\u306e\u9593\u306b\u306f\u6570\u5024\u7684\u306a\u7e4b\u304c\u308a\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u305d\u306e\u305f\u3081\u3001\u65e5\u4ed8\u306e\u307f\u3092\u7279\u5fb4\u3068\u3057\u3066\u4f7f\u7528\u3057\u305f\u969b\u3001\u65e5\u4ed8\u3084\u6642\u9593\u306e\u6301\u3064\u5468\u671f\u6027\u3084\u5faa\u74b0\u6027\u306a\u3069\u306e\u6642\u9593\u7684\u306a\u7e4b\u304c\u308a\u304c\u9014\u7d76\u3048\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\r\n

\u3053\u306e\u554f\u984c\u306b\u3064\u3044\u3066\u3001\u4e09\u89d2\u95a2\u6570\u3092\u7528\u3044\u3066\u89e3\u6c7a\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\r\n

\u4eca\u56de\u306f\u4f8b\u3068\u3057\u3066\u30011\u5e74\u5468\u671f\u30841\u30f6\u6708\u5468\u671f\u30011\u9031\u9593\u5468\u671f\u3067\u5468\u671f\u6027\u3092\u8003\u616e\u3057\u305f\u7279\u5fb4\u306e\u4f5c\u6210\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\r\n

<\/p>\n\n

\u5b9f\u969b\u306b\u3084\u3063\u3066\u307f\u308b<\/h2>\n\u65e5\u4ed8\u30c7\u30fc\u30bf\u306e\u751f\u6210<\/b>\r\n

\u4eca\u56de\u306f\u30012023-01-01\u304b\u30892023-03-31\u307e\u3067\u306e\u65e5\u4ed8\u306e\u30c7\u30fc\u30bf\u3092\u7528\u610f\u3057\u3066\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u884c\u3063\u3066\u307f\u307e\u3059\u3002<\/p>\r\n

\u307e\u305a\u306f\u3001\u65e5\u4ed8\u30c7\u30fc\u30bf\u306e\u751f\u6210\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\r\n

<\/code><\/pre>\r\n
\r\n
import pandas as pd\r\nimport numpy as np\r\n\r\n# 2023\u5e741\u67081\u65e5\u304b\u30892023\u5e7412\u670831\u65e5\u307e\u3067\u306e\u65e5\u4ed8\u30c7\u30fc\u30bf\u3092\u751f\u6210\uff08\u6642\u523b\u30c7\u30fc\u30bf\u306f\u542b\u307e\u306a\u3044\uff09\r\ndates = pd.date_range(start='2023-01-01', end='2023-12-31', freq='D')\r\ndf = pd.DataFrame({'dates': dates})\r\n<\/code><\/pre>\r\n<\/div>\r\n
<\/code><\/pre>\r\n
 <\/p>\r\n\"\"<\/b>\r\n\u4e09\u89d2\u95a2\u6570\u5909\u63db\u306b\u3088\u308b1\u30f6\u6708\u5468\u671f\u306e\u5468\u671f\u6027\u306e\u62bd\u51fa<\/b>\r\n
\u3053\u3053\u3067\u30011\u6708\u304b\u30893\u6708\u307e\u3067\u306e\u65e5\u4ed8\u306e\u30c7\u30fc\u30bf\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u3066\u3001\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\r\n
\"\"<\/p>\r\n
 <\/p>\r\n
 <\/p>\r\n
\u3053\u306e\u3088\u3046\u306b\u306a\u3063\u3066\u304a\u308a\u3001\u6708\u304c\u5207\u308a\u66ff\u308f\u308b\u3068\u65e5\u4ed8\u306e\u9023\u7d9a\u6027\u304c\u5931\u308f\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002\u3053\u306e\u307e\u307e\u65e5\u4ed8\u30c7\u30fc\u30bf\u3092\u7279\u5fb4\u91cf\u3068\u3057\u3066\u6271\u3046\u3068\u30011\u670831\u65e5\u30682\u67081\u65e5\u306e\u3088\u3046\u306a\u90e8\u5206\u3067\u3001\u5b9f\u969b\u306b\u306f\u30011\u670831\u65e5\u306e\u6b21\u306e\u65e5\u304c2\u67081\u65e5\u3067\u3042\u308b\u306e\u306b\u3001\u30c7\u30fc\u30bf\u4e0a\u3001\u7e4b\u304c\u308a\u304c\u306a\u3044\u3082\u306e\u3068\u3057\u3066\u6271\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\r\n
\u305d\u3053\u3067\u6b21\u306f\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u7528\u3044\u3066\u3001\u5b9f\u969b\u306b\u5468\u671f\u6027\u304c\u8003\u616e\u3067\u304d\u308b\u306e\u304b\u3001\u5b9f\u969b\u306b\u78ba\u304b\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\r\n
\u65e5\u4ed8\u30c7\u30fc\u30bf\u3092\u30011\u30f6\u67081\u5468\u671f\u3068\u3057\u3066\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3059\u308b\u30b3\u30fc\u30c9\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\r\n
<\/code><\/pre>\r\n
\r\n
def create_monthly_daily_trigonometric_data(df):\r\n    df['days_in_month'] = df['dates'].dt.days_in_month\r\n    df['day_of_month'] = df['dates'].dt.day\r\n\r\n    # \u6708\u306e\u65e5\u6570\u306b\u57fa\u3065\u3044\u3066\u4e09\u89d2\u95a2\u6570\u306e\u5024\u3092\u8a08\u7b97\r\n    df['sin_month'] = np.sin(2 * np.pi * (df['day_of_month'] - 1) \/ df['days_in_month'])\r\n    df['cos_month'] = np.cos(2 * np.pi * (df['day_of_month'] - 1) \/ df['days_in_month'])\r\n\r\n    return df\r\n\r\n# \u6708\u5468\u671f\u306e\u4e09\u89d2\u95a2\u6570\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\r\ndf = create_monthly_daily_trigonometric_data(df)\r\n<\/code><\/pre>\r\n<\/div>\r\n
<\/code><\/pre>\r\n
\u3053\u3053\u3067\u30011\u6708\u304b\u30893\u6708\u307e\u3067\u306e\u4e09\u89d2\u95a2\u6570\u306b\u5909\u63db\u3057\u305f\u65e5\u4ed8\u306e\u5024\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\r\n
\"\"<\/p>\r\n
\u9ad8\u6821\u6570\u5b66\u3067\u5b66\u7fd2\u3057\u305f\u4e09\u89d2\u95a2\u6570\u306esin, cos\u306e\u6ce2\u5f62\u304c\u898b\u3089\u308c\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u65e5\u4ed8\u30c7\u30fc\u30bf\u304c\u3001\uff11\u30f6\u6708\u306e\u5468\u671f\u6027\u3092\u3082\u3063\u3066\u6271\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\r\n
1\u670831\u65e5\u30682\u67081\u65e5\u3092\u4f8b\u306b\u898b\u308b\u3068\u3001\u4e09\u89d2\u95a2\u6570\u3092\u7528\u3044\u306a\u3044\u5834\u5408\u306f\u3001\u30c7\u30fc\u30bf\u306b\u9023\u7d9a\u6027\u304c\u3042\u308a\u307e\u305b\u3093\u3067\u3057\u305f\u304c\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u3057\u305f\u5834\u5408\u306b\u306f\u3001\u30c7\u30fc\u30bf\u306b\u9023\u7d9a\u6027\u30fb\u5faa\u74b0\u6027\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\r\n\u9031\u5358\u4f4d\u3067\u306e\u5468\u671f\u6027\u306e\u62bd\u51fa<\/b>\r\n
\u6b21\u306f\u540c\u69d8\u306b\u3001\u65e5\u4ed8\u306e\u60c5\u5831\u3092\u3001\u9031\u5358\u4f4d\u30671\u9031\u9593\uff087\u65e5\u9593\uff09\u30921\u5468\u671f\u3068\u3057\u3066\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3059\u308b\u30b3\u30fc\u30c9\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\r\n
<\/code><\/pre>\r\n
\r\n
def create_weekly_trigonometric_data(df):\r\n    df['day_of_week'] = df['dates'].dt.dayofweek\r\n\r\n    # \u9031\u306e\u5468\u671f\uff08\u6708\u66dc\u65e5\u3092\u5468\u671f\u306e\u59cb\u70b9\u3068\u3059\u308b\uff09\r\n    df['sin_week'] = np.sin(2 * np.pi * df['day_of_week'] \/ 7)\r\n    df['cos_week'] = np.cos(2 * np.pi * df['day_of_week'] \/ 7)\r\n\r\n    return df\r\n\r\n# \u6708\u5468\u671f\u306e\u4e09\u89d2\u95a2\u6570\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\r\ndf = create_weekly_trigonometric_data(df)\r\n<\/code><\/pre>\r\n<\/div>\r\n
<\/code><\/pre>\r\n
2023\u5e741\u6708\u306b\u304a\u3051\u308b\u3001\u66dc\u65e5\u306e\u5024\uff08day_of_week\u306b\u3088\u308a\u65e5\u4ed8\u304b\u3089\u66dc\u65e5\u30920~6\u306e\u5024\u306b\u5909\u63db\u3057\u305f\u3082\u306e\uff09\u3068\u3001day_of_week\u306e\u5024\u306b\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u9069\u7528\u3057\u305f\u3082\u306e\u3092\u6bd4\u8f03\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\r\n
2023\u5e741\u6708\u306b\u304a\u3051\u308bday_of_week\u306e\u5024\u3092\u30d7\u30ed\u30c3\u30c8<\/strong><\/p>\r\n
\"\"<\/p>\r\n
2023\u5e741\u6708\u306b\u304a\u3051\u308bday_of_week\u306e\u5024\u3092\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3057\u305f\u5024\u3092\u30d7\u30ed\u30c3\u30c8<\/strong><\/p>\r\n
\"\"<\/p>\r\n
\u4ee5\u4e0a\u306e\u4e8c\u3064\u3092\u6bd4\u8f03\u3059\u308b\u3068\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3057\u306a\u3044\u5834\u5408\u306f\u3001\u65e5\u66dc\u65e5\uff08day_of_week = 6 \uff09\u3068\u6708\u66dc\u65e5\uff08day_of_week = 0 \uff09\u304c\u7e4b\u304c\u308a\u304c\u306a\u304f\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u304c\u3001\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3092\u7528\u3044\u305f\u5834\u5408\u306f\u3001\u5468\u671f\u6027\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\r\n\u5e74\u5358\u4f4d\u3067\u306e\u5468\u671f\u6027\u306e\u62bd\u51fa<\/b>\r\n
\u6700\u5f8c\u306b\u3001\u5e74\u5358\u4f4d\u3067\u306e\u5468\u671f\u6027\u306b\u3064\u3044\u3066\u3001\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\r\n
\u5e74\u5358\u4f4d\u3067\u30011\u5e74\uff08365\u65e5\uff09\u30921\u5468\u671f\u3068\u3057\u3066\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3059\u308b\u30b3\u30fc\u30c9\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\r\n
<\/code><\/pre>\r\n
\r\n
def create_yearly_trigonometric_data(df):\r\n    df['days_in_year'] = 365\r\n    df['day_of_year'] = df['dates'].dt.dayofyear\r\n\r\n    # \u5e74\u5468\u671f\u306e\u4e09\u89d2\u95a2\u6570\r\n    df['sin_year'] = np.sin(2 * np.pi * (df['day_of_year'] - 1) \/ df['days_in_year'])\r\n    df['cos_year'] = np.cos(2 * np.pi * (df['day_of_year'] - 1) \/ df['days_in_year'])\r\n\r\n    return df\r\n\r\n# \u5e74\u5468\u671f\u3068\u6708\u5468\u671f\u306e\u4e09\u89d2\u95a2\u6570\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\r\ndf = create_yearly_trigonometric_data(df)\r\n<\/code><\/pre>\r\n<\/div>\r\n
<\/code><\/pre>\r\n
2023\u5e74\u306b\u304a\u3051\u308b\u65e5\u4ed8\u306e\u5024\u3092\u30d7\u30ed\u30c3\u30c8<\/strong><\/p>\r\n
\"\"<\/p>\r\n
2023\u5e74\u306b\u304a\u3051\u308b\u65e5\u4ed8\u306e\u5024\u30921\u5e74\u30921\u5468\u671f\u3067\u4e09\u89d2\u95a2\u6570\u5909\u63db\u3057\u305f\u5024\u3092\u30d7\u30ed\u30c3\u30c8<\/strong><\/p>\r\n
\"\"<\/p>\r\n
\u3053\u306e\u3088\u3046\u306b\u30011\u5e74\u30921\u5468\u671f\u3068\u3057\u305f\u969b\u3082\u540c\u69d8\u306b\u3001\u4e09\u89d2\u95a2\u6570\u3092\u7528\u3044\u3066\u5909\u63db\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u4e0a\u3067\u306f\u7e4b\u304c\u308a\u304c\u306a\u3044\u3088\u3046\u306a12\u670831\u65e5\u30681\u67081\u65e5\u304c\u9023\u7d9a\u7684\u306b\u6271\u3046\u3053\u3068\u304c\u53ef\u80fd\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\r\n
<\/p>\n\n
\u304a\u308f\u308a\u306b<\/h2>\n
\u4eca\u56de\u306f\u3001\u65e5\u4ed8\u30c7\u30fc\u30bf\u306e\u5468\u671f\u6027\u3068\u5faa\u74b0\u6027\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u3068\u3057\u3066\u3001\u4e09\u89d2\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3057\u305f\u3002<\/p>\r\n
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