{"id":12414,"date":"2024-11-07T07:26:52","date_gmt":"2024-11-06T22:26:52","guid":{"rendered":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/?p=12414"},"modified":"2024-11-07T07:26:52","modified_gmt":"2024-11-06T22:26:52","slug":"py-pandas-date","status":"publish","type":"post","link":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/2024\/11\/07\/py-pandas-date\/","title":{"rendered":"\u3010Python\u3011Pandas\u3067csv\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3060\u3089\u6642\u9593\u8a08\u7b97\u3067\u30cf\u30de\u3063\u305f\u306e\u3067\u5bfe\u51e6\u6cd5\u3092\u66f8\u304f"},"content":{"rendered":"

\u30c7\u30fc\u30bf\u5206\u6790\u3067CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3068\u304d\u3001Python\u306ePandas\u306f\u975e\u5e38\u306b\u4fbf\u5229\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u304c\u65e5\u6642\u30c7\u30fc\u30bf\u306e\u8a08\u7b97\u3067\u4e88\u671f\u305b\u306c\u30a8\u30e9\u30fc\u3084\u601d\u308f\u306c\u6319\u52d5\u306b\u60a9\u307e\u3055\u308c\u308b\u3053\u3068\u3082\u5c11\u306a\u304f\u3042\u308a\u307e\u305b\u3093\u3002\u5b9f\u969b\u306b\u6642\u9593\u8a08\u7b97\u3067\u30cf\u30de\u3063\u305f\u306e\u3067\u5099\u5fd8\u9332\u306e\u305f\u3081\u306b\u66f8\u304d\u7559\u3081\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n

\u5bfe\u8c61\u306eCSV\u30d5\u30a1\u30a4\u30eb\u3068\u6700\u521d\u306e\u30d7\u30ed\u30b0\u30e9\u30e0<\/h2>\n

\u307e\u305a\u7528\u610f\u3057\u305f\u306e\u304c\u3053\u3061\u3089\u306eCSV\u30d5\u30a1\u30a4\u30eb\u3002\u65e5\u8db3\u306e\u30c9\u30eb\u5186\u30c7\u30fc\u30bf\u3067\u3059\u3002\u5de6\u5217\u306b\u65e5\u6642\u304c\u5165\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"\"<\/a><\/p>\n

 <\/p>\n

\u3053\u3061\u3089\u304c\u6700\u521d\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3002CSV\u3092\u547c\u3073\u51fa\u3057\u305f\u3042\u3068\u306b\u6642\u9593\u8a08\u7b97\u3057\u3066\u3044\u308b\u306e\u304c\u308f\u304b\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\r\nimport pandas as pd\r\n\r\ndf = pd.read_csv('usd_jpy_data.csv')\r\ndf = df[['Date', 'Open', 'High', 'Low', 'Close']]\r\n\r\ndf['weeks'] = (df['Date'] - df['Date'][0])\r\nprint(df)\r\n \r\n<\/pre>\n
 <\/p>\n
TypeError: unsupported operand type(s) for -: ‘str’ and ‘str’<\/h2>\n
\u3053\u306e\u30a8\u30e9\u30fc TypeError: unsupported operand type(s) for -: ‘str’ and ‘str’<\/strong> \u306f\u3001\u300c\u6587\u5b57\u5217\u540c\u58eb\u306e\u5f15\u304d\u7b97\u306f\u3067\u304d\u306a\u3044\u300d\u3068\u3044\u3046\u610f\u5473\u3067\u3059\u3002Python\u3067\u306f\u6587\u5b57\u5217\uff08str\u578b\uff09\u306b\u5bfe\u3057\u3066\u76f4\u63a5\u6570\u5024\u6f14\u7b97\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u3053\u306e\u30a8\u30e9\u30fc\u304c\u51fa\u307e\u3059\u3002<\/p>\n
\u89e3\u6c7a\u6cd5<\/h5>\n
#New!<\/strong>\u306e\u884c\u304c\u793a\u3059\u3088\u3046\u306b\u3001pandas<\/strong>\u306eto_datetime<\/strong>\u95a2\u6570\u3067\u6587\u5b57\u5217\u304b\u3089\u65e5\u6642\u578b\u306b\u5909\u63db\u3059\u308c\u3070OK\u3067\u3059\u3002\u307e\u3042\u3001\u3053\u3053\u306f\u30cf\u30de\u3063\u305f\u3068\u3044\u3046\u307b\u3069\u306e\u3082\u306e\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n
\r\nimport pandas as pd\r\n\r\ndf = pd.read_csv('usd_jpy_data.csv')\r\ndf = df[['Date', 'Open', 'High', 'Low', 'Close']]\r\ndf['Date'] = pd.to_datetime(df['Date']) #New!\r\n\r\ndf['weeks'] = (df['Date'] - df['Date'][0])\r\nprint(df)\r\n \r\n<\/pre>\n
 <\/p>\n
 <\/p>\n
\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5217\u304c\u65e5\u4ed8\u3067\u306a\u3044<\/h2>\n
\u4e0a\u8a18\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3059\u308b\u3068\u30a8\u30e9\u30fc\u306f\u51fa\u306a\u304f\u306a\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u5de6\u7aef\u306b\u9023\u756a\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u884c\u304c\u73fe\u308c\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\n
\r\n                         Date        Open        High         Low       Close    weeks\r\n0   2023-11-06 00:00:00+00:00  149.449005  149.830002  149.382004  149.449005   0 days\r\n1   2023-11-07 00:00:00+00:00  149.988998  150.686996  149.968994  149.988998   1 days\r\n2   2023-11-08 00:00:00+00:00  150.395996  150.981995  150.345993  150.395996   2 days\r\n3   2023-11-09 00:00:00+00:00  150.863998  151.175995  150.798004  150.863998   3 days\r\n4   2023-11-10 00:00:00+00:00  151.348999  151.559006  151.225006  151.348999   4 days\r\n \r\n<\/pre>\n
 <\/p>\n
\u305d\u3053\u3067\u3001\u6642\u9593\u5217\uff08Date\u5217\uff09\u3092\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5217\u3068\u3057\u3066\u8a8d\u8b58\u3055\u305b\u307e\u3057\u3087\u3046\u3002#New!<\/strong>\u306e\u884c\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n
\r\nimport pandas as pd\r\n\r\ndf = pd.read_csv('usd_jpy_data.csv')\r\ndf = df[['Date', 'Open', 'High', 'Low', 'Close']]\r\ndf['Date'] = pd.to_datetime(df['Date'])\r\ndf.set_index('Date', inplace = True) #New\r\n\r\ndf['weeks'] = (df['Date'] - df['Date'][0])\r\nprint(df)\r\n \r\n<\/pre>\n
 <\/p>\n
 <\/p>\n
KeyError: ‘Date’<\/h2>\n
\u3067\u3001\u6700\u5f8c\u306b\u3053\u306e\u30a8\u30e9\u30fc\u304c\u51fa\u307e\u3057\u305f\u3002Date\u5217\u3092\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u5217\u3068\u3057\u3066\u8a2d\u5b9a\u3057\u3066\u3057\u307e\u3063\u305f\u305f\u3081\u3001df[‘Date’]\u3067\u5024\u3092\u53d6\u308a\u51fa\u305b\u306a\u304f\u306a\u3063\u305f\u308f\u3051\u3067\u3059\u3002<\/p>\n
\u3053\u308c\u306b\u3064\u3044\u3066\u306f\u304b\u306a\u308a\u60a9\u307f\u307e\u3057\u305f\u304c\u3001\u82e6\u8089\u306e\u7b56\u3067\u30c7\u30fc\u30bf\u5217\u3092\u30b3\u30d4\u30fc\u3059\u308b\u3053\u3068\u306b\u3057\u307e\u3057\u305f\u3002#New!<\/strong>\u306e\u884c\u306e\u3068\u3053\u308d\u3067\u3059\u3002<\/p>\n
\r\nimport pandas as pd\r\n\r\ndf = pd.read_csv('usd_jpy_data.csv')\r\ndf = df[['Date', 'Open', 'High', 'Low', 'Close']]\r\ndf['Date'] = pd.to_datetime(df['Date'])\r\ndf['Date2'] = df['Date'] #New\r\ndf.set_index('Date', inplace = True)\r\n\r\ndf['weeks'] = (df['Date2'] - df['Date2'][0])\r\nprint(df)\r\n \r\n<\/pre>\n
 <\/p>\n
\u3053\u306e\u7d50\u679c\u3001\u30a8\u30e9\u30fc\u306f\u767a\u751f\u305b\u305a\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u51fa\u529b\u3092\u3059\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002Date2\u304c\u4f59\u8a08\u3067\u3059\u304c\u65e5\u4ed8\u8a08\u7b97\u3092\u3055\u305b\u308b\u4ee5\u4e0a\u306f\u81f4\u3057\u65b9\u306a\u3057\u304b\u306a\u3068\u3002<\/p>\n
\r\n                                 Open        High         Low       Close                     Date2    weeks\r\nDate                                                                                                        \r\n2023-11-06 00:00:00+00:00  149.449005  149.830002  149.382004  149.449005 2023-11-06 00:00:00+00:00   0 days\r\n2023-11-07 00:00:00+00:00  149.988998  150.686996  149.968994  149.988998 2023-11-07 00:00:00+00:00   1 days\r\n2023-11-08 00:00:00+00:00  150.395996  150.981995  150.345993  150.395996 2023-11-08 00:00:00+00:00   2 days\r\n2023-11-09 00:00:00+00:00  150.863998  151.175995  150.798004  150.863998 2023-11-09 00:00:00+00:00   3 days\r\n2023-11-10 00:00:00+00:00  151.348999  151.559006  151.225006  151.348999 2023-11-10 00:00:00+00:00   4 days\r\n \r\n<\/pre>\n
 <\/p>\n
 <\/p>\n","protected":false},"excerpt":{"rendered":"
\u30c7\u30fc\u30bf\u5206\u6790\u3067CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3068\u304d\u3001Python\u306ePandas\u306f\u975e\u5e38\u306b\u4fbf\u5229 … <\/p>\n","protected":false},"author":1,"featured_media":12090,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[],"class_list":["post-12414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python"],"aioseo_notices":[],"_links":{"self":[{"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/posts\/12414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/comments?post=12414"}],"version-history":[{"count":3,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/posts\/12414\/revisions"}],"predecessor-version":[{"id":12418,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/posts\/12414\/revisions\/12418"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/media\/12090"}],"wp:attachment":[{"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/media?parent=12414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/categories?post=12414"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/pineplanter.moo.jp\/non-it-salaryman\/wp-json\/wp\/v2\/tags?post=12414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}