\u300c\u9031\u3054\u3068\u306e\u96c6\u8a08\u3092\u884c\u3044\u305f\u3044\u300d+\u300c\u305b\u3063\u304b\u304f\u306ePython\u3060\u304b\u3089pandas\u3067\u51e6\u7406\u3057\u305f\u3044\u300d\u3068\u3044\u3046\u4e8b\u3067\u683c\u95d8\u3057\u3066\u3044\u307e\u3057\u305f\u3002
\npython\u3067\u306f\u512a\u79c0\u306apandas\u306e\u304a\u9670\u3067SQL\u3067\u5927\u304d\u306a\u51e6\u7406\u305b\u305a\u306b\u7c21\u5358\u306b\u7d20\u65e9\u304f\u51e6\u7406\u3067\u304d\u308b\u3068\u306e\u4e8b\u3002
\n\u305d\u308c\u306f\u4f7f\u308f\u306a\u3044\u624b\u306f\u306a\u3044\u3068\u5b9f\u88c5\u3092\u8a66\u307f\u307e\u3057\u305f\u3002<\/p>\n
\u9031\u6b21\u96c6\u8a08\u306e\u3084\u308a\u65b9\u306f\u6ca2\u5c71\u3042\u308a\u307e\u3059\u3002<\/p>\n
Laravel\u306e\u6642\u306f [2] \u3067\u5b9f\u88c5\u3057\u3066\u307e\u3057\u305f\u3002
\n\u3061\u306a\u307f\u306b\u30011\u306findex\u306e\u8cbc\u308a\u65b9\u6b21\u7b2c\u3067\u901f\u5ea6\u304c\u5927\u304d\u304f\u5909\u308f\u308a\u30013\u306f\u4e00\u756a\u51e6\u7406\u306b\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002
\n\u306a\u306e\u3067\u3001\u6700\u5584\u7b56\u306f\u300c\u96c6\u8a08\u3092\u610f\u8b58\u3057\u305f\u30c6\u30fc\u30d6\u30eb\u8a2d\u8a08\u300d\u3092\u4f5c\u6210\u3057\u3066\u3057\u307e\u3046\u4e8b\u3067\u3059\u3002
\n\u5177\u4f53\u7684\u306b\u306f\u300cSQL\u5074\u306egroup_by \u3092\u5bb9\u6613\u306b\u3059\u308b\u305f\u3081\u306b\u3010\u5e74\/\u6708\/\u9031\u3011\u306e3\u3064\u306e\u5217\u3092\u7528\u610f\u3057\u3066\u30c7\u30fc\u30bf\u4fdd\u5b58\u6642\u306b\u683c\u7d0d\u3057\u3066\u3057\u307e\u3046\u300d\u306a\u3069\u3067\u3059\u3002<\/p>\n
pandas\u3067\u306e\u5b9f\u88c5\u306b\u623b\u308a\u307e\u3059\u3002
\n\u4eca\u56de\u3001\u5177\u4f53\u7684\u306b\u306f\u4e0b\u306e3\u3064\u306e\u30a8\u30e9\u30fc\u306b\u60a9\u307e\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n
\u7ffb\u8a33\u3059\u308b\u3068\u4e0b\u306e\u901a\u308a\u3002<\/p>\n
\u89e3\u6c7a\u306e\u30ab\u30ae\u3068\u306a\u308b\u306e\u306f\u3001index\u306e\u8cbc\u308a\u65b9\u3068DataFrame\u306e\u547c\u3073\u51fa\u3057\u65b9\u3067\u3059\u3002<\/p>\n
#views.py\r\nimport pandas as pd\r\n\r\ndef WheatherIndexView(request):\r\n \"\"\" MYSQL\u304b\u3089\u671f\u9593\u30ec\u30b3\u30fc\u30c9\u306e\u53d6\u308a\u51fa\u3057 \"\"\"\r\n data_01 = Weather.objects.filter(observation_date__range=['2020-02-23', '2020-11-29'])\r\n\r\n \"\"\" \u53d6\u308a\u51fa\u3057\u305f\u30ec\u30b3\u30fc\u30c9\u306e\u4e00\u90e8\u3060\u3051\u3092\u914d\u5217(List)\u306b\u683c\u7d0d \"\"\"\r\n list_pandas = []\r\n for dt in data_01:\r\n list_pandas.append([dt.observation_date, dt.max_temperature])\r\n\r\n \"\"\" \u30ea\u30b9\u30c8\u3092DataFrame\u306b\u3057\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ed8\u3051\u308b \"\"\"\r\n df = pd.DataFrame(list_pandas, columns=[\"date\", \"temp\"])\r\n df[\"date\"] = pd.to_datetime(df[\"date\"])\r\n mm = df.set_index([\"date\"])\r\n\r\n \"\"\" \u9031\u3067\u307e\u3068\u3081\u308b \"\"\"\r\n # \u4f8b:\u9031\u3054\u3068\u306b\u6700\u9ad8\u6e29\u5ea6\u3092\u5408\u8a08\u3059\u308b\r\n to = mm.resample(\"W\").sum()\r\n params = {\r\n 'title': '\u904e\u53bb\u306e\u5929\u6c17(\u9031\u6b21\u96c6\u8a08)',\r\n 'data': data_01,\r\n 'js': list_plots_01,\r\n 'to': to\r\n }\r\n return render(request, 'index.html', params)<\/pre>\n\u91cd\u8981\u30dd\u30a4\u30f3\u30c8\u306f\u3053\u306e\u4e2d\u306e14\uff5e16\u884c\u76ee\u3002
\n\u6bd4\u8f03\u7528\u306b14\uff5e16\u884c\u76ee\u306e\u300e\u30c0\u30e1Script\u300f\u3082\u8a18\u8f09\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n
df = pd.DataFrame(list_pandas)\r\n df[0] = pd.to_datetime(df[0])\r\n df.index([0])<\/pre>\n\u3053\u306e\u300e\u30c0\u30e1Script\u300f\u3092\u66f8\u304f\u3068 'RangeIndex' object is not callable \u3068\u6012\u3089\u308c\u307e\u3059\u3002<\/p>\n
\u65e5\u6b21\u96c6\u8a08\u3092\u884c\u3046\u969b\u306e3\u3064\u306e\u30dd\u30a4\u30f3\u30c8<\/h3>\n\n\n- \u65e5\u6642\u306e\u5165\u3063\u305f\u30ab\u30e9\u30e0\u3092\u3010pandas.to_datetime\u3011\u3067DateTime\u578b\u306b\u5909\u63db\u3059\u308b<\/li>\n
- \u65e5\u6642\u30ab\u30e9\u30e0\u306b\u3010pandas.set_index\u3011\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8cbc\u308b<\/li>\n
- 2\u306e\u969b\u306f\u3010\u5909\u6570\u540d = \u3011\u3092\u4ed8\u3051\u3066\u884c\u3046<\/li>\n<\/ol>\n<\/div>\n
\u3053\u308c\u3092\u899a\u3048\u3066\u304a\u304d\u306a\u304c\u3089\u3001\u767a\u751f\u3057\u305f\u30a8\u30e9\u30fc\u306e\u4e2d\u8eab\u3092\u898b\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n
Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'<\/h3>\n
DatetimeIndex\u3001TimedeltaIndex\u3001\u307e\u305f\u306f PeriodIndex \u3067\u306e\u307f\u6709\u52b9\u3067\u3059\u304c\u3001'RangeIndex' \u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u5f97\u3057\u3066\u3044\u307e\u3059<\/span>\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f55\u3082\u8cbc\u3063\u3066\u3044\u306a\u3044\u6642\u3001\u307e\u305f\u306f\u3010DateTime\u578b\/Timedeltagta\u578b\/Period\u578b\u3011\u306e\u5024\u306b\u5bfe\u3059\u308bindex\u3067\u306a\u3044\u6642\u306b\u767a\u751f\u3057\u307e\u3059\u3002
\nDataFrame\u3067\u306f\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f55\u3082\u8cbc\u3063\u3066\u3044\u306a\u3044\u3068\u3010RangeIndex(\u7bc4\u56f2index)\u3011\u3068\u3057\u3066\u6271\u308f\u308c\u308b\u305d\u3046\u3067\u3059\u3002<\/p>\n\u305d\u306e\u70ba\u3001\u3053\u306e\u4fee\u6b63\u306b\u306f\u4e0a\u8a183\u3064\u306e\u30dd\u30a4\u30f3\u30c8\u306e\u5185\u30012\u3064\u306e\u51e6\u7406\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\n\n- \u65e5\u6642\u306e\u5165\u3063\u305f\u30ab\u30e9\u30e0\u3092\u3010pandas.to_datetime\u3011\u3067DateTime\u578b\u306b\u5909\u63db\u3059\u308b<\/li>\n
- \u65e5\u6642\u30ab\u30e9\u30e0\u306b\u3010pandas.set_index\u3011\u3067\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u8cbc\u308b<\/li>\n<\/ol>\n<\/div>\n
\u3010pandas.to_datetime\u3011\u3067DateTime\u578b\u306b\u5909\u63db<\/h4>\n
\u79c1\u304c\u30cf\u30de\u3063\u305f\u30dd\u30a4\u30f3\u30c8\u306f\u601d\u3044\u8fbc\u307f\u3067\u3057\u305f\u3002
\n\u300cMySQL\u3067Datetime.date \u578b\u3067\u4fdd\u5b58\u3057\u3066\u3044\u308b\u304b\u3089\u6539\u3081\u3066\u5909\u63db\u3057\u306a\u304f\u3066\u3082\u5927\u4e08\u592b\u300d<\/strong>\u3068\u601d\u3063\u3066\u3044\u305f\u3093\u3067\u3059\u3002<\/p>\n\u5b9f\u969b\u306bMySQL\u304b\u3089\u62bd\u51fa\u3057\u305f\u5024\u306f[[datetime.date(2020,12 ,06), ...]]\u306e\u69d8\u306b\u51fa\u529b\u3055\u308c\u3066\u3044\u307e\u3057\u305f\u3002
\n\u306a\u306e\u3067 \u3001DataFrame\u306b\u9001\u3063\u305f\u5024\u306fDatetime\u578b\u306b\u306a\u3063\u3066\u3044\u308b\u3068\u601d\u3063\u3066\u3044\u305f\u3093\u3067\u3059\u3002<\/p>\n
\u3067\u3082\u300eDataFrame\u306b\u683c\u7d0d\u3057\u305f\u6642\u306b\u30c6\u30ad\u30b9\u30c8\u306b\u306a\u3063\u3066\u3057\u307e\u3063\u3066\u3044\u308b\u300f\u306e\u3067\u3010to_datetime\u3011\u3067\u306e\u5909\u63db\u304c\u5fc5\u8981\u3067\u3057\u305f\u3002<\/p>\n
'RangeIndex' object is not callable<\/h3>\n
RangeIndex' \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u547c\u3073\u51fa\u3057\u53ef\u80fd\u3067\u306f\u3042\u308a\u307e\u305b\u3093<\/span>\u3053\u306e\u30a8\u30e9\u30fc\u306findex\u304c\u5b58\u5728\u3057\u306a\u3044\u306e\u306b\u547c\u3073\u51fa\u305d\u3046\u3068\u3057\u3066\u3044\u308b\u3068\u304d\u306b\u767a\u751f\u3057\u307e\u3059\u3002
\n\u8981\u306f\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u4ed8\u3051\u65b9\u304c\u9593\u9055\u3048\u3066\u3044\u308b\u3068\u3002<\/p>\n\u300eDataFrame + index\u300f\u306b\u3064\u3044\u3066\u30cd\u30c3\u30c8\u4e0a\u3067\u8abf\u3079\u308b\u30682\u3064\u306e\u8a18\u8f09\u65b9\u6cd5\u3092\u898b\u3064\u3051\u307e\u3059\u3002<\/p>\n
\n\n- df.index([\"date\"])<\/li>\n
- df.set_index([\"date\"])<\/li>\n<\/ol>\n<\/div>\n
\u305f\u3060\u3001\u3053\u306e\u3046\u3061\u306e1\u756a\u306findex\u306e\u53d6\u308a\u51fa\u3057\u3067\u3042\u3063\u3066\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ed8\u3051\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002
\n\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u8a2d\u7f6e\u306f\u3010set_index\u3011\u3067\u884c\u3044\u307e\u3059\u3002<\/p>\n
'method' object is not subscriptable<\/h3>\n
\u30e1\u30bd\u30c3\u30c9' \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306f\u6dfb\u3048\u5b57\u304c\u3067\u304d\u307e\u305b\u3093<\/span>\u3053\u306e\u30a8\u30e9\u30fc\u306f\u3010set_index()\u3011\u306e\u66f8\u304d\u65b9\u3092\u9593\u9055\u3048\u3066\u3044\u305f\u6642\u306b\u767a\u751f\u3057\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\ndf.set_index[\"date\"]<\/pre>\n\u304a\u6c17\u3065\u304d\u306e\u901a\u308a\u3010 () \u3011\u304c\u629c\u3051\u3066\u307e\u3059\u3002
\n\u305d\u306e\u70ba [\"date\"] \u304c set_index \u306e\u6dfb\u3048\u5b57\u3068\u3057\u3066\u8a8d\u8b58\u3055\u308c\u3066\u3057\u307e\u3063\u3066\u3044\u3066\u300c\u305d\u306e\u547d\u4ee4\u306e\u4ed5\u65b9\u304a\u304b\u3057\u3044\u3067\u3059\u300d\u3068\u8a00\u308f\u308c\u3066\u308b\u72b6\u614b\u3002
\n\u79c1\u306f\u3053\u308c\u3092\u300c\u30ab\u30e9\u30e0\u540d\u304c\u3064\u3044\u3066\u3044\u306a\u3044\u304b\u3089\u6012\u3089\u308c\u3066\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u300d\u3068\u8aa4\u89e3\u3057\u3066\u30ab\u30e9\u30e0\u540d\u3092\u4ed8\u3051\u308b\u65b9\u6cd5\u3092\u63a2\u3057\u307e\u3057\u305f\u304c\u3001\u305d\u3093\u306a\u3053\u3068\u306f\u5168\u304f\u3042\u308a\u307e\u305b\u3093\u3002
\n\u4e0b\u306eScript\u3067\u3057\u3063\u304b\u308a\u6a5f\u80fd\u3057\u307e\u3059\u3002<\/p>\n
df = pd.DataFrame(list_pandas)\r\n df[0] = pd.to_datetime(df[0])\r\n mm = df.set_index[0]\r\n ma = mm.resample(\"W\").sum()<\/pre>\n\u3010\u8981\u6ce8\u610f\u3011\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u53d6\u308a\u4ed8\u3051\u306fto_dateime\u3067\u5909\u63db\u3057\u305f\u5f8c\u306b\u884c\u3046\u4e8b<\/h4>\n
\u3053\u3046\u3057\u305f\u5834\u5408\u3010KeyError 'date'\u3011\u3068\u8a00\u308f\u308c\u307e\u3059\u3002<\/p>\n
df = pd.DataFrame(list_pandas, columns=[\"date\", \"temp\"])\r\n mm = df.set_index([\"date\"])\r\n mm[\"date\"] = pd.to_datetime(mm[\"date\"])<\/pre>\nindex\u3082\u4ed8\u3051\u3066\u30a8\u30e9\u30fc\u3082\u767a\u751f\u3057\u3066\u3044\u306a\u3044\u306e\u306b\u96c6\u8a08\u7d50\u679c\u304c\u60f3\u5b9a\u3068\u9055\u3046\u5834\u5408<\/h3>\n
\u79c1\u306e\u5834\u5408\u306f\u65e5\u6b21\u96c6\u8a08\u3092\u884c\u3046\u969b\u306e3\u3064\u306e\u30dd\u30a4\u30f3\u30c8\u306e3\u756a\u76ee\u306b\u539f\u56e0\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n
\n\n- 2\u306e\u969b\u306f\u3010\u5909\u6570\u540d = \u3011\u3092\u4ed8\u3051\u3066\u884c\u3046<\/li>\n<\/ul>\n<\/div>\n
\u307e\u305a\u60aa\u3044\u4f8b\u304c\u3053\u3061\u3089\u3002\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306f\u30a8\u30e9\u30fc\u306f\u767a\u751f\u3057\u307e\u305b\u3093\u304c\u9031\u6b21\u96c6\u8a08\u3092\u884c\u3044\u307e\u305b\u3093\u3002<\/p>\n
df = pd.DataFrame(list_pandas, columns=[\"date\", \"temp\"])\r\n df[\"date\"] = pd.to_datetime(df[\"date\"])\r\n df.set_index([\"date\"])\r\n ma = df.resample(\"W\").sum()<\/pre>\nOnly valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex' \u306f\u767a\u751f\u3057\u306a\u3044\u306e\u3067\u30a4\u30f3\u30c7\u30af\u30b9\u306e\u53d6\u308a\u4ed8\u3051\u306f\u6210\u529f\u3057\u3066\u3044\u307e\u3059\u3002
\n\u3067\u3082\u306a\u305c\u304b\u9031\u6b21\u96c6\u8a08\u306e\u547d\u4ee4\u3092\u7121\u8996\u3057\u307e\u3059\u3002<\/p>\n
\u4e0b\u306e\u69d8\u306b\u3010\u5909\u6570\u540d = \u3011\u3067\u3057\u3063\u304b\u308a\u540d\u4ed8\u3051\u308b\u3068\u96c6\u8a08\u307e\u3067\u3057\u3063\u304b\u308a\u56de\u308a\u307e\u3059\u3002<\/p>\n
df = pd.DataFrame(list_pandas, columns=[\"date\", \"temp\"])\r\n df[\"date\"] = pd.to_datetime(df[\"date\"])\r\n #df.set_index([\"date\"])\r\n df = df.set_index([\"date\"])\r\n ma = df.resample(\"W\").sum()#\u3061\u3083\u3093\u3068\u540d\u4ed8\u3051\u308b<\/pre>\n\u307e\u3068\u3081<\/h3>\n
\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u6b63\u3057\u3044\u4ed8\u3051\u65b9\u306f\u4e0b\u306e\u901a\u308a\u3002<\/p>\n
\ndf = df.set_index([\"date\"])<\/p>\n<\/div>\n
\u305d\u3057\u3066\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4ed8\u3051\u306a\u3044\u9650\u308a\u65e5\u6642\u96c6\u8a08\u306f\u3057\u3066\u304f\u308c\u307e\u305b\u3093\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
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