{"id":2842,"date":"2019-10-29T15:56:21","date_gmt":"2019-10-29T06:56:21","guid":{"rendered":"https:\/\/www.dogrow.net\/python\/?p=2842"},"modified":"2019-10-29T16:23:27","modified_gmt":"2019-10-29T07:23:27","slug":"blog111","status":"publish","type":"post","link":"https:\/\/www.dogrow.net\/python\/blog111\/","title":{"rendered":"(111) pandas\u3067 CSV\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u66f8\u304d"},"content":{"rendered":"

1. \u3084\u308a\u305f\u3044\u3053\u3068<\/h1>\n

\u904e\u53bb\u8a18\u4e8b (35) numpy or CSV\u30d1\u30c3\u30b1\u30fc\u30b8\u3067CSV\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u66f8\u304d<\/a> \u3067\u306f\u3001NumPy, CSV\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u305f CSV\u30d5\u30a1\u30a4\u30eb\u306e\u30ea\u30fc\u30c9\u3001\u30e9\u30a4\u30c8\u306b\u3064\u3044\u3066\u66f8\u3044\u305f\u3002\u4eca\u56de\u306f pandas<\/span> \u3092\u4f7f\u3063\u3066\u3053\u308c\u3092\u3084\u3063\u3066\u307f\u305f\u3044\u3002<\/p>\n

2. \u3084\u3063\u3066\u307f\u308b<\/h1>\n

(1) CSV\u30d5\u30a1\u30a4\u30eb\u3092\u7528\u610f\u3059\u308b\u3002<\/h3>\n

\u4eca\u56de\u306f\u3001\u3053\u3093\u306a CSV\u30d5\u30a1\u30a4\u30eb book.csv<\/span> \u3092\u7528\u610f\u3057\u305f\u3002
\n\u30fb\u5404\u5217\u306b\u3001\u6587\u5b57\u5217\u3001\u6574\u6570\u3001\u5b9f\u6570\u3092\u7528\u610f\u3057\u305f\u3002
\n\u30fb\u5148\u982d\u884c\u306b\u306f\u3001\u5404\u5217\u306e\u30bf\u30a4\u30c8\u30eb\uff08\uff1d\u5217\u540d\uff09\u3092\u66f8\u3044\u305f\u3002
\n\u30fb\u5404\u30c7\u30fc\u30bf\u3092\u533a\u5207\u308b\u30bb\u30d1\u30ec\u30fc\u30bf\u6587\u5b57\u306f\u300c,\u300d\u306b\u3057\u305f\u3002<\/p>\n

\r\ndate,name,h,w\r\n2019-3-19,\u5c71\u7530,170,65.3\r\n2019-4-15,\u79cb\u5143,175,72.5\r\n2019-8-30,\u9234\u6728,183,78.1\r\n2019-10-15,\u7530\u5ddd,164,70.0\r\n<\/pre>\n
(2) pandas\u3067 CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u3080\u3002<\/h3>\n
pandas.read_csv<\/span> \u3092\u4f7f\u3063\u3066 CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3080\u3002<\/p>\n
\r\n>>> import pandas as pd\r\n>>> d = pd.read_csv('.\/book.csv', sep=',')\r\n<\/pre>\n
\u4e8c\u6b21\u5143\u30c7\u30fc\u30bf\u306a\u306e\u3067 DataFrame<\/span> \u578b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3068\u3057\u3066\u4fdd\u6301\u3055\u308c\u3066\u3044\u308b\u3002<\/p>\n
\r\n>>> d\r\n         date name    h     w\r\n0   2019-3-19   \u5c71\u7530  170  65.3\r\n1   2019-4-15   \u79cb\u5143  175  72.5\r\n2   2019-8-30   \u9234\u6728  183  78.1\r\n3  2019-10-15   \u7530\u5ddd  164  70.0\r\n>>>\r\n>>> type(d)\r\n<class 'pandas.core.frame.DataFrame'>\r\n<\/pre>\n
CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u3093\u3060\u6642\u306b\u3001\u5404\u5217\u306e\u30c7\u30fc\u30bf\u7a2e\u5225\u3092\u81ea\u52d5\u7684\u306b\u5224\u5225\u3057\u3066\u304f\u308c\u3066\u3044\u308b\u3002
\ndtypes<\/span> \u3067\u5404\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u7a2e\u5225\u3092\u898b\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3002<\/p>\n
\r\n>>> d.dtypes<\/span>\r\ndate     object\r\nname     object\r\nh         int64\r\nw       float64\r\ndtype: object\r\n<\/pre>\n
type<\/span> \u3067\u500b\u3005\u306b\u898b\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3002<\/p>\n
\r\n>>> type<\/span>(d.loc[0]['date'])\r\n<class 'str'>\r\n>>>\r\n>>> type<\/span>(d.loc[0]['name'])\r\n<class 'str'>\r\n>>>\r\n>>> type<\/span>(d.loc[0]['h'])\r\n<class 'numpy.int64'>\r\n>>>\r\n>>> type<\/span>(d.loc[0]['w'])\r\n<class 'numpy.float64'>\r\n<\/pre>\n
shape<\/span> \u3067\u8981\u7d20\u6570\u3092\u898b\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3002<\/p>\n
\r\n>>> d.shape<\/span>\r\n(4, 4)\r\n<\/pre>\n
index<\/span> \u3092\u898b\u308b\u3002<\/p>\n
\r\n>>> d.index<\/span>\r\nRangeIndex(start=0, stop=4, step=1)\r\n<\/pre>\n
columns<\/span> \u3092\u898b\u308b\u3002<\/p>\n
\r\n>>> d.columns<\/span>\r\nIndex(['date', 'name', 'h', 'w'], dtype='object')\r\n<\/pre>\n
(3) pandas\u3067 CSV\u30d5\u30a1\u30a4\u30eb\u3092\u66f8\u304f\u3002<\/h3>\n
pandas.to_csv<\/span> \u3092\u4f7f\u3063\u3066 CSV\u30d5\u30a1\u30a4\u30eb\u3092\u66f8\u304d\u51fa\u3059\u3002<\/p>\n
\u307e\u305a\u306f\u3001\u4f55\u3082\u8003\u3048\u305a\u306b\u3001\u5f15\u6570\u306b\u30d5\u30a1\u30a4\u30eb\u540d\u3060\u3051\u3092\u6307\u5b9a\u3057\u3066\u5b9f\u884c\u3057\u3066\u307f\u308b\u3002<\/p>\n
\r\n>>> d.to_csv('book2.csv')\r\n<\/pre>\n
\u3059\u308b\u3068\u3001index\u307e\u3067\u51fa\u529b\u3055\u308c\u3066\u3057\u307e\u3063\u305f\u3002<\/p>\n
\r\n,date,name,h,w\r\n0,2019-3-19,\u5c71\u7530,170,65.3\r\n1,2019-4-15,\u79cb\u5143,175,72.5\r\n2,2019-8-30,\u9234\u6728,183,78.1\r\n3,2019-10-15,\u7530\u5ddd,164,70.0\r\n<\/pre>\n
\u305d\u3053\u3067…
\nindex=False<\/span> \u3092\u6307\u5b9a\u3057\u3001index\u306a\u3057\u3067\u51fa\u529b\u3055\u305b\u308b\u3088\u3046\u306b\u3057\u305f\u3002<\/p>\n
\r\n>>> d.to_csv('book2.csv', index=False)\r\n<\/pre>\n
\u3059\u308b\u3068\u3001\u624b\u66f8\u304d\u306e CSV\u30d5\u30a1\u30a4\u30eb\u3068\u540c\u3058\u3082\u306e\u304c\u51fa\u529b\u3055\u308c\u305f\u3002<\/p>\n
\r\ndate,name,h,w\r\n2019-3-19,\u5c71\u7530,170,65.3\r\n2019-4-15,\u79cb\u5143,175,72.5\r\n2019-8-30,\u9234\u6728,183,78.1\r\n2019-10-15,\u7530\u5ddd,164,70.0\r\n<\/pre>\n
header=False<\/span> \u3092\u6307\u5b9a\u3059\u308b\u3068\u3001\u5217\u540d\u3092\u51fa\u529b\u3057\u306a\u3044\u3088\u3046\u306b\u3067\u304d\u308b\u3002<\/p>\n
\r\n>>> d.to_csv('book2.csv', index=False)\r\n<\/pre>\n
\u3059\u308b\u3068\u3001\u5148\u982d\u884c\u306b\u3042\u3063\u305f\u300c\u5217\u540d\u300d\u304c\u6d88\u3048\u305f\u3002<\/p>\n
\r\n2019-3-19,\u5c71\u7530,170,65.3\r\n2019-4-15,\u79cb\u5143,175,72.5\r\n2019-8-30,\u9234\u6728,183,78.1\r\n2019-10-15,\u7530\u5ddd,164,70.0\r\n<\/pre>\n
sep=’xxxxx’<\/span> \u3092\u6307\u5b9a\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u9593\u306e\u533a\u5207\u308a\u6587\u5b57\u3092\u6307\u5b9a\u3067\u304d\u308b\u3002
\n\u3053\u3053\u3067\u306f\u30bf\u30d6\u6587\u5b57\u300c\\t\u300d\u3092\u6307\u5b9a\u3057\u3066\u307f\u308b\u3002\u7121\u6307\u5b9a\u306e\u5834\u5408\u306f\u300c,\u300d\u304c\u4f7f\u308f\u308c\u308b\u3002<\/p>\n
\r\nd.to_csv('book2.csv', index=False, header=False, sep='\\t')\r\n<\/pre>\n
\u3059\u308b\u3068\u3001\u300c,\u300d\u304b\u3089\u30bf\u30d6\u6587\u5b57\u306b\u5909\u308f\u3063\u305f\u3002<\/p>\n
\r\n2019-3-19       \u5c71\u7530    170     65.3\r\n2019-4-15       \u79cb\u5143    175     72.5\r\n2019-8-30       \u9234\u6728    183     78.1\r\n2019-10-15      \u7530\u5ddd    164     70.0\r\n<\/pre>\n
3. \u5fdc\u7528<\/h1>\n
\u30fbread_csv, to_csv\u306b\u306f\u3001\u307e\u3060\u307e\u3060\u3044\u308d\u3044\u308d\u306a I\/F\u4ed5\u69d8\u304c\u3042\u308b\u3002
\n\u3000\u2192 \u8ffd\u3005\u8ffd\u8a18\u3057\u3066\u884c\u3053\u3046\u3002<\/p>\n
\u53c2\u8003<\/h1>\n
\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3059\u3002 m(_ _)m
\nhttps:\/\/qiita.com\/ysdyt\/items\/9ccca82fc5b504e7913a<\/a><\/p>\n
\n","protected":false},"excerpt":{"rendered":"
1. \u3084\u308a\u305f\u3044\u3053\u3068 \u904e\u53bb\u8a18\u4e8b (35) numpy or CSV\u30d1\u30c3\u30b1\u30fc\u30b8\u3067CSV\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u66f8\u304d \u3067\u306f\u3001NumPy, CSV\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u305f CSV\u30d5\u30a1\u30a4\u30eb\u306e\u30ea\u30fc\u30c9\u3001\u30e9\u30a4\u30c8\u306b\u3064\u3044\u3066\u66f8\u3044\u305f\u3002\u4eca\u56de\u306f pandas \u3092\u2026 \u7d9a\u304d\u3092\u8aad\u3080 »<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[42],"tags":[],"class_list":["post-2842","post","type-post","status-publish","format-standard","hentry","category-pandas"],"views":3298,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2842","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/comments?post=2842"}],"version-history":[{"count":11,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2842\/revisions"}],"predecessor-version":[{"id":2853,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/2842\/revisions\/2853"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=2842"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=2842"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=2842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}