{"id":6063,"date":"2022-03-04T10:36:44","date_gmt":"2022-03-04T01:36:44","guid":{"rendered":"https:\/\/www.sambuichi.jp\/?p=6063"},"modified":"2022-08-11T08:08:23","modified_gmt":"2022-08-10T23:08:23","slug":"excel%e5%86%8d%e7%99%ba%e8%a6%8b%ef%bc%88python%e3%81%a8%e7%b5%84%e3%81%bf%e5%90%88%e3%82%8f%e3%81%9b%e3%81%a6pivot%e6%b4%bb%e7%94%a8-windows-10%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.sambuichi.jp\/?p=6063","title":{"rendered":"Excel\u518d\u767a\u898b\uff08Python\u3068\u7d44\u307f\u5408\u308f\u305b\u3066Pivot\u6d3b\u7528: Windows 10\uff09"},"content":{"rendered":"

Views: 46<\/p>

\u4e45\u3057\u3076\u308a\u306bExcel\u3067\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u8a66\u4f5c\u3002
\n15\u5e74\u304f\u3089\u3044\u524d\u306fVBA\u3057\u304b\u958b\u767a\u74b0\u5883\u304c\u306a\u304f\u3001\u30de\u30af\u30ed\u3067\u958b\u767a\u3059\u308b\u3068\u81ea\u5206\u3067\u3082\u7dad\u6301\u7ba1\u7406\u3067\u304d\u306a\u304f\u306a\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u9060\u3056\u304b\u3063\u3066\u3044\u305f\u304c\u3001Python\u3067\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u51e6\u7406\u306b\u3082\u4f7f\u3048\u308b\u3068\u3044\u3046\u3053\u3068\u306a\u306e\u3067\u518d\u5ea6\u8a66\u884c\u3057\u3066\u307f\u308b\u3002
\n\u4eca\u56de\u306f\u3001\u74b0\u5883\u8a2d\u5b9a\u3068\u78ba\u8a8d\u3002\u3053\u308c\u304b\u3089\u5927\u91cf\u306e\u5e33\u7c3f\u3084\u4f1d\u7968\u30c7\u30fc\u30bf\u51e6\u7406\u3092\u8a66\u884c\u4e88\u5b9a\u3002<\/p>\n

Excel PowerPivoy Addin\u6709\u52b9\u5316<\/h2>\n

Power Pivot\u3092\u521d\u3081\u3066\u4f7f\u3046\u5834\u5408\u306e\u624b\u9806 \u30a2\u30c9\u30a4\u30f3\uff08\u8ffd\u52a0\uff09\u3059\u308b\u65b9\u6cd5\uff08\u521d\u671f\u8a2d\u5b9a\uff09<\/a>\u3092\u53c2\u8003\u306b\u6709\u52b9\u5316\u3002
\n\u30d5\u30a1\u30a4\u30eb\u3000\u30aa\u30d7\u30b7\u30e7\u30f3\u3000\u30a2\u30c9\u30a4\u30f3\u3000\u3067\u8868\u793a\u3055\u308c\u308b\u753b\u9762\u304b\u3089\u5148\u306e\u64cd\u4f5c\u3067\u6238\u60d1\u3063\u3066\u3057\u307e\u3063\u305f\u3002
\n\u753b\u9762\u306e\u4e0b\u306b\u3042\u308b
\n\"\"<\/a>
\n\u7ba1\u7406(A):\u3067COM\u30a2\u30c9\u30a4\u30f3\u3092\u9078\u629e\u3057\u3066\u8a2d\u5b9a\u30dc\u30bf\u30f3\u3092\u62bc\u3059\u3068\u8ffd\u52a0\u9078\u629e\u53ef\u80fd\u306b\u306a\u3063\u305f\u3002<\/p>\n

Python3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n

NumPy\u3001pandas\u3001Matplotlib \u3092pip\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5<\/a>\u3092\u53c2\u8003\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002Anaconda\u3067\u74b0\u5883\u69cb\u7bc9\u3059\u308b\u4f8b\u304c\u591a\u3044\u304c\u3067\u304d\u308b\u3060\u3051\u5358\u7d14\u306b\u3057\u305f\u3044\u306e\u3067py\u3068pip\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002python-3.10.2-amd64.exe\u3092Python 3.10.2\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u30da\u30fc\u30b8<\/a>\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3002py\u304c\u6a19\u6e96\u3067\u306f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u306a\u3044\u306e\u3067python-3.10.2-amd64.exe\u3092\u518d\u5b9f\u884c\u3057\u3066Modify\u3059\u308b\u969b\u306b\u7d44\u307f\u8fbc\u307f\u6307\u5b9a\u3057\u305f\u3002<\/p>\n

pip\u66f4\u65b0<\/h3>\n
PS C:\\Users\\xxx> py -m pip install -U pip\r\nRequirement already satisfied: pip in c:\\users\\xxx\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (21.2.4)\r\nCollecting pip\r\n  Downloading pip-22.0.3-py3-none-any.whl (2.1 MB)\r\n     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.1 MB 6.4 MB\/s\r\nInstalling collected packages: pip\r\n  Attempting uninstall: pip\r\n    Found existing installation: pip 21.2.4\r\n    Uninstalling pip-21.2.4:\r\n      Successfully uninstalled pip-21.2.4\r\nSuccessfully installed pip-22.0.3<\/pre>\n
numpy\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
PS C:\\Users\\xxx> py -m pip install numpy\r\nCollecting numpy\r\n  Downloading numpy-1.22.2-cp310-cp310-win_amd64.whl (14.7 MB)\r\n     ---------------------------------------- 14.7\/14.7 MB 7.4 MB\/s eta 0:00:00\r\nInstalling collected packages: numpy\r\nSuccessfully installed numpy-1.22.2<\/pre>\n
pandas\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
PS C:\\Users\\xxx> py -m pip install pandas\r\nCollecting pandas\r\n  Downloading pandas-1.4.1-cp310-cp310-win_amd64.whl (10.6 MB)\r\n     ---------------------------------------- 10.6\/10.6 MB 8.5 MB\/s eta 0:00:00\r\nCollecting python-dateutil>=2.8.1\r\n  Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)\r\n     ---------------------------------------- 247.7\/247.7 KB 7.4 MB\/s eta 0:00:00\r\nRequirement already satisfied: numpy>=1.21.0 in c:\\users\\xxx\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from pandas) (1.22.2)\r\nCollecting pytz>=2020.1\r\n  Downloading pytz-2021.3-py2.py3-none-any.whl (503 kB)\r\n     ---------------------------------------- 503.5\/503.5 KB 6.2 MB\/s eta 0:00:00\r\nCollecting six>=1.5\r\n  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)\r\nInstalling collected packages: pytz, six, python-dateutil, pandas\r\nSuccessfully installed pandas-1.4.1 python-dateutil-2.8.2 pytz-2021.3 six-1.16.0<\/pre>\n
matplotlib\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
PS C:\\Users\\xxx>  py -m pip install matplotlib\r\nCollecting matplotlib\r\n  Downloading matplotlib-3.5.1-cp310-cp310-win_amd64.whl (7.2 MB)\r\n     ---------------------------------------- 7.2\/7.2 MB 8.5 MB\/s eta 0:00:00\r\nCollecting fonttools>=4.22.0\r\n  Downloading fonttools-4.29.1-py3-none-any.whl (895 kB)\r\n     ---------------------------------------- 895.5\/895.5 KB 8.1 MB\/s eta 0:00:00\r\nCollecting pyparsing>=2.2.1\r\n  Downloading pyparsing-3.0.7-py3-none-any.whl (98 kB)\r\n     ---------------------------------------- 98.0\/98.0 KB 5.5 MB\/s eta 0:00:00\r\nCollecting packaging>=20.0\r\n  Downloading packaging-21.3-py3-none-any.whl (40 kB)\r\n     ---------------------------------------- 40.8\/40.8 KB 1.9 MB\/s eta 0:00:00\r\nCollecting kiwisolver>=1.0.1\r\n  Downloading kiwisolver-1.3.2-cp310-cp310-win_amd64.whl (52 kB)\r\n     ---------------------------------------- 52.1\/52.1 KB 2.8 MB\/s eta 0:00:00\r\nRequirement already satisfied: python-dateutil>=2.7 in c:\\users\\xxx\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib) (2.8.2)\r\nCollecting cycler>=0.10\r\n  Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)\r\nCollecting pillow>=6.2.0\r\n  Downloading Pillow-9.0.1-cp310-cp310-win_amd64.whl (3.2 MB)\r\n     ---------------------------------------- 3.2\/3.2 MB 8.3 MB\/s eta 0:00:00\r\nRequirement already satisfied: numpy>=1.17 in c:\\users\\xxx\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from matplotlib) (1.22.2)\r\nRequirement already satisfied: six>=1.5 in c:\\users\\xxx\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\r\nInstalling collected packages: pyparsing, pillow, kiwisolver, fonttools, cycler, packaging, matplotlib\r\nSuccessfully installed cycler-0.11.0 fonttools-4.29.1 kiwisolver-1.3.2 matplotlib-3.5.1 packaging-21.3 pillow-9.0.1 pyparsing-3.0.7<\/pre>\n
openpyxl\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
PS C:\\Users\\xxx> py -m pip install openpyxl\r\nCollecting openpyxl\r\n  Downloading openpyxl-3.0.9-py2.py3-none-any.whl (242 kB)\r\n     ---------------------------------------- 242.2\/242.2 KB 7.5 MB\/s eta 0:00:00\r\nCollecting et-xmlfile\r\n  Downloading et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)\r\nInstalling collected packages: et-xmlfile, openpyxl\r\nSuccessfully installed et-xmlfile-1.1.0 openpyxl-3.0.9\r\nPS C:\\Users\\nobuy> py -m pip install xlrd\r\nCollecting xlrd\r\n  Downloading xlrd-2.0.1-py2.py3-none-any.whl (96 kB)\r\n     ---------------------------------------- 96.5\/96.5 KB 2.7 MB\/s eta 0:00:00\r\nInstalling collected packages: xlrd\r\nSuccessfully installed xlrd-2.0.1\r\nPS C:\\Users\\xxx><\/pre>\n
Excel\u30d5\u30a1\u30a4\u30eb\u51fa\u529b\u3068\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u4f5c\u6210<\/h2>\n
Qiita\u306e\u8a18\u4e8b\u3092\u53c2\u8003\u306b\u3057\u305f\u3002
\nPython \u304b\u3089 Excel \u3092\u7de8\u96c6\u3057\uff64\u30d4\u30dc\u30c3\u30c8\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b<\/a><\/p>\n
PS C:\\Users\\xxx\\Labo> Python\r\nPython 3.10.2 (tags\/v3.10.2:a58ebcc, Jan 17 2022, 14:12:15) [MSC v.1929 64 bit (AMD64)] on win32\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import pandas as pd\r\n>>> import random\r\n>>> from datetime import datetime as dt\r\n>>>\r\n>>> record = []\r\n>>> for y in range(2015, 2020):\r\n...     for m in range(1, 13):\r\n...         for shop in ['A', 'B', 'C']:\r\n...             date = dt(year=y, month=m, day=1).strftime('%Y-%m-%d')\r\n...             price = 200 + random.randint(0,100)\r\n...             record.append([date, shop, price])\r\n...\r\n>>> df_record = pd.DataFrame(record)\r\n>>> df_record.columns = ['date', 'shop', 'price']\r\n>>> df_record['date'] = pd.to_datetime(df_record['date'])\r\n>>> df_record.to_excel('testdata.xlsx', index=None)<\/pre>\n
\u8a18\u4e8b\u306e\u8a18\u8ff0\u306b\u5f93\u3063\u3066\u30b3\u30de\u30f3\u30c9\u3092\u6295\u5165\u3057\u3066\u3086\u304f\u3068win32\u304c\u306a\u3044\u3068\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u3002\u6e96\u5099\u3057\u3066\u306a\u3044\u306e\u3067\u5f53\u7136\u306a\u306e\u3067\u8abf\u67fb\u3002<\/p>\n
>>> import win32com.client as win32\r\nTraceback (most recent call last):\r\n  File \"<stdin>\", line 1, in <module>\r\nModuleNotFoundError: No module named 'win32com'\r\n>>> import os\r\n>>> win32c = win32.constants\r\nTraceback (most recent call last):\r\n  File \"<stdin>\", line 1, in <module>\r\nNameError: name 'win32' is not defined\r\n>>><\/pre>\n
win32\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h3>\n
https:\/\/www.kkaneko.jp\/data\/gen\/excelimport.html<\/a>\u3092\u53c2\u8003\u306b\u3057\u305f\u3002<\/p>\n
PS C:\\Users\\xxx\\Labo> pip install -U wheel pywin32\r\nCollecting wheel\r\n  Downloading wheel-0.37.1-py2.py3-none-any.whl (35 kB)\r\nCollecting pywin32\r\n  Downloading pywin32-303-cp310-cp310-win_amd64.whl (9.2 MB)\r\n     ---------------------------------------- 9.2\/9.2 MB 7.2 MB\/s eta 0:00:00\r\nInstalling collected packages: pywin32, wheel\r\nSuccessfully installed pywin32-303 wheel-0.37.1\r\nPS C:\\Users\\xxx\\Labo><\/pre>\n
\u518d\u5ea6\u5b9f\u884c<\/h3>\n
excel = win32.gencache.EnsureDispatch('testdata.xlsx') <\/code>\u3067\u30a8\u30e9\u30fc\u3002<\/p>\n
PS C:\\Users\\xxx\\Labo> Python\r\nPython 3.10.2 (tags\/v3.10.2:a58ebcc, Jan 17 2022, 14:12:15) [MSC v.1929 64 bit (AMD64)] on win32\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import win32com.client as win32\r\n>>> import os\r\n>>> win32c = win32.constants\r\n>>>\r\n>>> excel = win32.gencache.EnsureDispatch('testdata.xlsx')\r\nTraceback (most recent call last):\r\n  File \"C:\\Users\\nobuy\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\win32com\\client\\dynamic.py\", line 86, in _GetGoodDispatch\r\n    IDispatch = pythoncom.connect(IDispatch)\r\npywintypes.com_error: (-2147221005, '\u30af\u30e9\u30b9\u6587\u5b57\u5217\u304c\u7121\u52b9\u3067\u3059', None, None)\r\n\r\nDuring handling of the above exception, another exception occurred:\r\n\r\nTraceback (most recent call last):\r\n  File \"<stdin>\", line 1, in <module>\r\n  File \"C:\\Users\\nobuy\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\win32com\\client\\gencache.py\", line 618, in EnsureDispatch\r\n    disp = win32com.client.Dispatch(prog_id)\r\n  File \"C:\\Users\\nobuy\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\win32com\\client\\__init__.py\", line 117, in Dispatch\r\n    dispatch, userName = dynamic._GetGoodDispatchAndUserName(dispatch, userName, clsctx)\r\n  File \"C:\\Users\\nobuy\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\win32com\\client\\dynamic.py\", line 106, in _GetGoodDispatchAndUserName\r\n    return (_GetGoodDispatch(IDispatch, clsctx), userName)\r\n  File \"C:\\Users\\nobuy\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\win32com\\client\\dynamic.py\", line 88, in _GetGoodDispatch\r\n    IDispatch = pythoncom.CoCreateInstance(\r\npywintypes.com_error: (-2147221005, '\u30af\u30e9\u30b9\u6587\u5b57\u5217\u304c\u7121\u52b9\u3067\u3059', None, None)\r\n>>><\/pre>\n
PowerShell\u3067Python\u3092\u5bfe\u8a71\u5b9f\u884c\u3057\u3066\u3044\u305f\u3053\u3068\u304c\u539f\u56e0\u306e\u3088\u3046\u306a\u306e\u3067\u3001Visual Studio Code\u3067python\u30d7\u30ed\u30b0\u30e9\u30e0\u30d5\u30a1\u30a4\u30eb\u3092\u30c7\u30d0\u30c3\u30b0\u5b9f\u884c\u3057\u305f\u3068\u3053\u308d\u3001Sheet1\u306e\u30c7\u30fc\u30bf\u304b\u3089pivot\u30b7\u30fc\u30c8\u304c\u4f5c\u6210\u3055\u308c\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
Views: 46\u4e45\u3057\u3076\u308a\u306bExcel\u3067\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u8a66\u4f5c\u3002 15\u5e74\u304f\u3089\u3044\u524d\u306fVBA\u3057\u304b\u958b\u767a\u74b0\u5883\u304c\u306a\u304f\u3001\u30de\u30af\u30ed\u3067\u958b\u767a\u3059\u308b\u3068\u81ea\u5206\u3067\u3082\u7dad\u6301\u7ba1\u7406\u3067\u304d\u306a\u304f\u306a\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u9060\u3056\u304b\u3063\u3066\u3044\u305f\u304c\u3001Python\u3067\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u51e6\u7406\u306b\u3082\u4f7f\u3048\u308b\u3068 […]<\/p>\n","protected":false},"author":2,"featured_media":6075,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[21,50],"tags":[],"_links":{"self":[{"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/posts\/6063"}],"collection":[{"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6063"}],"version-history":[{"count":11,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/posts\/6063\/revisions"}],"predecessor-version":[{"id":6100,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/posts\/6063\/revisions\/6100"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=\/wp\/v2\/media\/6075"}],"wp:attachment":[{"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6063"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6063"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sambuichi.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6063"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}