{"id":4548,"date":"2024-01-26T10:37:54","date_gmt":"2024-01-26T01:37:54","guid":{"rendered":"https:\/\/jfs.or.jp\/jfs-cs\/?p=4548"},"modified":"2024-02-17T15:34:31","modified_gmt":"2024-02-17T06:34:31","slug":"python-polars-02","status":"publish","type":"post","link":"https:\/\/jfs.or.jp\/jfs-cs\/python-polars-02\/","title":{"rendered":"Python\u3067\u4f7f\u3046polars\uff08\u767d\u304f\u307e\uff09\u3000\u30a4\u30e1\u30fc\u30b8\u7de8"},"content":{"rendered":"

python\u3067\u5229\u7528\u3059\u308bpolars\u3067\u4f55\u304c\u826f\u3044\u306e\uff1f\u3000\u65e2\u306bpandas\u304c\u3042\u308b\u306e\u306b\uff1f<\/p>\n

\u63a8\u85a6\u7406\u7531\u304c\u3001\u7d39\u4ecb\u30b5\u30a4\u30c8\u306e\u6700\u5f8c\u306b\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n

\u300c\u307e\u3068\u3081\u300d\u306b\u3082\u66f8\u3044\u3066\u3044\u308b\u3068\u304a\u308a\u3001Polars\u306f\u6163\u308c\u308b\u3068\u53ef\u8aad\u6027\u304c\u3068\u3066\u3082\u9ad8\u3044<\/span>\u3068\u611f\u3058\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3082\u51e6\u7406\u901f\u5ea6\u304c\u65e9\u3044<\/span>\u306e\u3067\u3001\u591a\u5c11\u96d1\u306b\u66f8\u3044\u3066\u3082\u901f\u5ea6\u304c\u5168\u304f\u6c17\u306b\u306a\u308a\u307e\u305b\u3093\u3002<\/strong><\/span><\/p>\n

\u305d\u306e\u305f\u3081\u3001\u50d5\u500b\u4eba\u306e\u8a71\u3067\u3059\u304c\u3001\u4eca\u307e\u3067Pandas\u3092\u4f7f\u7528\u3057\u3066\u3044\u305f\u3068\u3053\u308d\u3092Polars\u306b\u5909\u3048\u305f\u3089\u3001\u751f\u7523\u6027\u304c\u3060\u3044\u3076\u4e0a\u304c\u308a\u307e\u3057\u305f<\/span>\u3002\u307b\u3093\u3068\u3059\u3054\u3044\u3002<\/strong><\/span><\/p>\n

\u30a4\u30e1\u30fc\u30b8\u306e\u305f\u3081\u306b\u3001\u3088\u304f\u3042\u308a\u305d\u3046\u306a\u7c21\u5358\u306a\u5229\u7528\u4f8b\u306e\u3054\u7d39\u4ecb
\n\u203b\u7406\u89e3\u3057\u3084\u3059\u3044\u3088\u3046\u306b\u4e00\u90e8\u5909\u3048\u3066\u3044\u308b\u3068\u3053\u308d\u304c\u3042\u308a\u307e\u3059\u3002\u30df\u30b9\u3082\u4fee\u6b63\u3002<\/p>\n

 <\/p>\n

\u672c\u5f53\u306b\u6700\u4f4e\u9650\u3060\u3051\u899a\u3048\u3066\u4e00\u77ac\u3067\u4f7f\u3044\u59cb\u3081\u308bPolars\u5165\u9580<\/span><\/h2>\n

https:\/\/qiita.com\/yknoguchi\/items\/be49932d7f9061333954<\/a><\/p>\n

Polars\u306e\u57fa\u672c\u7684\u306a\u4f7f\u7528\u30d5\u30a9\u30fc\u30de\u30c3\u30c8<\/strong><\/span><\/p>\n

Polars\u3067\u306f\u57fa\u672c\u7684\u306bselect\u3068filter\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3044\u304d\u307e\u3059\u3002
\n\u305d\u3057\u3066\u305d\u308c\u305e\u308c\u304c\u3001\u5217\u306e\u30c7\u30fc\u30bf\u9078\u629e\uff08\uff0b\u51e6\u7406\uff09\u3001\u884c\u306e\u30c7\u30fc\u30bf\u9078\u629e\u3092\u62c5\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u307e\u305f\u3001\u305d\u308c\u305e\u308c\u306e\u30e1\u30bd\u30c3\u30c9\u306e\u4e2d\u3067\u64cd\u4f5c\u3092\u884c\u3044\u305f\u3044\u3068\u304d\u306f\u3001pl.Expr\u30af\u30e9\u30b9\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002
\n\u7279\u306bpl.col\u306f\u5217\u306e\u64cd\u4f5c\u3092\u884c\u3046\u3068\u304d\u306b\u305f\u304f\u3055\u3093\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n

\u7279\u306bselect\u3067\u306f\u3001\u7279\u5b9a\u306e\u5217\u306b\u5bfe\u3057\u3066\u51e6\u7406\u3092\u52a0\u3048\u3066\u65b0\u3057\u3044\u5217\u3068\u3057\u3066\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u306a\u306e\u3067\u3001\u57fa\u672c\u7684\u306a\u51e6\u7406\u624b\u9806\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

import polars as pl\u3000\u3000\u3000\u3000\u3000\u3000\u3000#polars\u3000\u5229\u7528\u3059\u308b\u305e\u3000pl\u3000\u3068\u3059\u308b
\ndf = pl.read_csv(“data.csv”)\u3000#data.csv\u8aad\u307f\u8fbc\u307fdf\u3068\u3059\u308b\uff08DataFile\uff09
\nprint(df)<\/p>\n

\u8aad\u307f\u8fbc\u3093\u3060CSV\u30d5\u30a1\u30a4\u30eb\u306e\u5185\u5bb9\u3092polars\u3067print\u3057\u305f\u3082\u306e
\nshape: (3, 2)\u3000\u3000\u3000#\u30c7\u30fc\u30bf\u304c\uff13\u884c2\u5217\u3002\u5148\u982d\uff13\u884c\u306f\u5217\u540d\u3068\u5217\u306e\u5b9a\u7fa9\u90e8
\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n\u2502 name \u2506 age \u2502
\n\u2502 — \u2506 — \u2502
\n\u2502 str \u2506 i64 \u2502
\n\u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2561
\n\u2502 one \u2506 10 \u2502
\n\u2502 one \u2506 20 \u2502
\n\u2502 two \u2506 30 \u2502
\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

\u5217\u540d\u306e\u30ea\u30b9\u30c8\u306f<\/strong>
\nprint(df.columns)
\n#[‘name’,\u00a0 ‘age’]\u3000\u3000\u3000#\u5217\u540d\u30b3\u30d4\u30da\u3067\u304d\u4fbf\u5229<\/p>\n

\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6d41\u308c<\/h4>\n

df.select(
\n\u3000\u3000# \u3053\u3053\u3067\u4f7f\u7528\u3059\u308b\u5217\u306e\u9078\u629e
\n\u3000\u3000# \u307e\u305f\u306f\u7279\u5b9a\u306e\u5217\u306b\u5bfe\u3057\u3066\u51e6\u7406\u3092\u884c\u3046
\n\u3000\u3000# \u5834\u5408\u306b\u5fdc\u3058\u3066\u306f\u51e6\u7406\u5f8c\u3001\u5225\u306e\u30ab\u30e9\u30e0\u3068\u3057\u3066\u30c7\u30fc\u30bf\u3092\u8ffd\u52a0
\n).filter(
\n\u3000\u3000# \u3053\u3053\u3067\u30c7\u30fc\u30bf\u306e\u4e2d\u304b\u3089\u4f7f\u7528\u3059\u308b\u884c\u3092\u62bd\u51fa
\n).select(
\n).filter… # \u3053\u308c\u3092\u7e70\u308a\u8fd4\u3059<\/p>\n

\u5217\u306e\u9078\u629e\u30fb\u64cd\u4f5c select<\/strong><\/span><\/p>\n

select\u3067\u7279\u5b9a\u306e\u5217\u3092\u53d6\u308a\u51fa\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5177\u4f53\u7684\u306a\u4f7f\u3044\u65b9\u3068\u3057\u3066\u306f\u4ee5\u4e0b\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n

df.select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”,
\n)<\/p>\n

# \u51fa\u529b
\n# shape: (3, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 — \u2506 — \u2502
\n# \u2502 str \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one \u2506 10 \u2502
\n# \u2502 one \u2506 20 \u2502
\n# \u2502 two \u2506 30 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

\u4e0a\u306e\u30b5\u30f3\u30d7\u30eb\u3067\u306f”name”\u3068”age”\u3068\u3044\u3046\u540d\u524d\u306e\u5217\u3092\u53d6\u308a\u51fa\u3057\u3066\u3044\u307e\u3059\u3002\u76f4\u611f\u7684\u3067\u7c21\u5358\u3067\u3059\u306d\u3002
\n\u3057\u304b\u3082\u3001Polars\u3067\u306f\u53d6\u308a\u51fa\u3059\u5217\u306e\u540d\u524d\u3092\u914d\u5217\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u305b\u3093\u3002\uff08\u914d\u5217\u306b\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u3060\u3051\u3067\u3001\u914d\u5217\u3067\u6307\u5b9a\u3057\u3066\u3082\u540c\u69d8\u306e\u7d50\u679c\u304c\u8fd4\u3063\u3066\u304d\u307e\u3059\u3002\uff09<\/p>\n

# \u914d\u5217\u3067\u5217\u540d\u3092\u6307\u5b9a\u3057\u3066\u3082OK
\ndf.select(
\n\u3000\u3000[“name”, “age”]\n)<\/p>\n

# \u51fa\u529b
\n# shape: (3, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 —\u00a0 \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 10\u00a0 \u2502
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2502
\n# \u2502 two\u00a0 \u2506 30\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

\u5217\u306e\u64cd\u4f5c pl.col()<\/strong><\/span>
\nselect\u3067\u5217\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3089\u3001\u6b21\u306f\u5217\u306e\u64cd\u4f5c\u3092\u3057\u305f\u304f\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u6642\u306fselect\u306e\u4e2d\u306bpl.col()\u3092\u4f7f\u7528\u3057\u307e\u3057\u3087\u3046\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000”name”,
\n\u3000\u3000pl.col(“age”)*2
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (3, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 —\u00a0 \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2502
\n# \u2502 one\u00a0 \u2506 40\u00a0 \u2502
\n# \u2502 two\u00a0 \u2506 60\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518
\n\u3053\u3046\u3059\u308b\u3053\u3068\u3067\u3001age\u306e\u5217\u304c2\u500d\u306b\u306a\u3063\u3066\u7d50\u679c\u304c\u8fd4\u3055\u308c\u307e\u3059\u3002
\n\u3082\u3057\u3082\u3053\u306e\u51e6\u7406\u7d50\u679c\u3092\u5225\u306e\u30ab\u30e9\u30e0\u306b\u3057\u305f\u3044\u3068\u304d\u306f\u3001.alias\u3092\u4f7f\u7528\u3057\u307e\u3057\u3087\u3046\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”,
\n\u3000\u3000(pl.col(“age”)*2).alias(“*2”)
\n\u3000\u3000# \u2191\u30b3\u30fc\u30c9\u304c `*2` \u3067\u7d42\u308f\u3063\u3066\u308b\u3068\u30e1\u30bd\u30c3\u30c9\u30c1\u30a7\u30fc\u30f3\u304c\u3067\u304d\u306a\u3044\u306e\u3067\u62ec\u5f27\u3067\u56f2\u3063\u3066\u3044\u308b
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (3, 3)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2506 *2\u00a0 \u2502
\n# \u2502 —\u00a0 \u2506 — \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 10\u00a0 \u2506 20\u00a0 \u2502
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2506 40\u00a0 \u2502
\n# \u2502 two\u00a0 \u2506 30\u00a0 \u2506 60\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518
\n\u00a0
\n\u5834\u5408\u308f\u3051\u3092\u4f7f\u7528\u3057\u305f\u5217\u306e\u64cd\u4f5c pl.when<\/strong><\/span>
\n\u5c11\u3057\u7d30\u304b\u3044\u51e6\u7406\u3092\u66f8\u3053\u3046\u3068\u3057\u305f\u3089\u3001\u5834\u5408\u5206\u3051\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u6642\u306fpl.when\u3092\u4f7f\u7528\u3057\u307e\u3057\u3087\u3046\u3002
\npl.when\u306fwhen\u3001then\u3001otherwise\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”,
\n\u3000\u3000pl.when(pl.col(“age”)>18)
\n\u3000\u3000\u3000\u3000.then(“\u6210\u4eba”)
\n\u3000\u3000\u3000\u3000.otherwise(“\u672a\u6210\u5e74”)
\n\u3000\u3000\u3000\u3000.alias(“\u6210\u4eba\u6e08\u307f\u304b\uff1f”) # when\u306b\u3082alias\u304c\u4f7f\u7528\u53ef\u80fd
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (3, 3)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2506 \u6210\u4eba\u6e08\u307f\u304b\uff1f\u3000\u3000\u2502
\n# \u2502 —\u00a0 \u2506 — \u2506 —\u3000\u3000\u3000\u3000\u00a0 \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2506 bool\u3000\u3000\u3000\u3000 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 10\u00a0 \u2506 false\u3000\u3000\u3000\u3000\u2502
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2506 true\u3000\u3000\u3000\u3000 \u2502
\n# \u2502 two\u00a0 \u2506 30\u00a0 \u2506 true\u3000\u3000\u3000\u3000 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518
\n\u00a0
\n\u884c\u306e\u9078\u629e filter<\/strong><\/span>
\nfilter\u3067\u884c\u306e\u7d5e\u308a\u8fbc\u307f\u304c\u884c\u3048\u307e\u3059\u3002\u57fa\u672c\u7684\u306b\u306f\u884c\u3054\u3068\u306b\u7d5e\u308a\u8fbc\u307f\u3092\u884c\u3046\u306e\u3067\u3001
\n\u4e0a\u306b\u3082\u767b\u5834\u3057\u305fpl.col\u3092\u4f7f\u3044\u307e\u3059\u3002
\n\u6761\u4ef6\u6307\u5b9a\u3000\u5927\u3000\u3000\u3000>\u00a0 \u00a0 >=\u00a0 \u00a0 ==\u00a0 \u00a0=<\u00a0 \u00a0 <\u00a0 \u00a0 \u5c0f
\n\u3000\u3000\u3000\u3000\u3000\u4e0d\u4e00\u81f4\u00a0 \u3000\u3000\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 !=\u3000
\n\u4f8b
\ndf.filter(
\n\u3000\u3000pl.col(“age”) > 10
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (2, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 —\u00a0 \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2502
\n# \u2502 two\u00a0 \u2506 30\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518
\n\u00a0
\n\u8907\u6570\u6761\u4ef6\u3082\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/strong><\/span>
\n\u00a0
\ndf.filter(
\n\u3000\u3000(pl.col(“age”) > 10)
\n\u3000\u3000& (pl.col(“age”) < 30)
\n\u3000\u3000# python\u3067\u306f&\u3084|\u306e\u6f14\u7b97\u512a\u5148\u9806\u4f4d\u304c\u9ad8\u3044\u305f\u3081\u3001\u62ec\u5f27\u3067\u56f2\u3046
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (2, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 —\u00a0 \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518
\n\u3082\u3061\u308d\u3093\u3001\u9055\u3046\u5217\u3067\u6761\u4ef6\u6307\u5b9a\u3057\u305f\u308a\u3001select\u3067\u8ffd\u52a0\u3057\u305f\u65b0\u3057\u3044\u5217\u306b\u5bfe\u3057\u3066\u3082\u64cd\u4f5c\u53ef\u80fd\u3067\u3059\u3002
\n\u00a0
\n\u307e\u3068\u3081<\/strong><\/span>
\n\u3055\u3066\u3001\u3053\u308c\u307e\u3067select\u3068filter\u3092\u4f7f\u7528\u3057\u305fPolars\u306e\u4f7f\u7528\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002
\n\u00a0
\n\u3067\u306f\u3001\u305d\u308c\u3092\u8e0f\u307e\u3048\u3066\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u8aad\u3093\u3067\u307f\u307e\u3057\u3087\u3046\u3002\uff08\u203b\u53c2\u8003\u306e\u305f\u3081\u306e\u30b3\u30fc\u30c9\u306a\u306e\u3067\u3001\u5197\u9577\u306a\u90e8\u5206\u304c\u3042\u308a\u307e\u3059\u3002\uff09
\n\u00a0
\ndf.select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”,
\n\u3000\u3000pl.when(pl.col(“age”)>18)
\n\u3000\u3000\u3000\u3000.then(True)
\n\u3000\u3000\u3000\u3000.otherwise(False)
\n\u3000\u3000\u3000\u3000.alias(“\u6210\u4eba\u6e08\u307f\u304b\uff1f”)
\n).filter(
\n\u3000\u3000pl.col(“\u6210\u4eba\u6e08\u307f\u304b\uff1f”)
\n).select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”
\n)
\n\u00a0
\n\u306f\u3044\u3002\u3053\u308c\u3092\u4e0a\u304b\u3089\u8aad\u3093\u3067\u3044\u304f\u3068\u3001\u3053\u306e\u3088\u3046\u306b\u89e3\u91c8\u3067\u304d\u307e\u3059\u3002<\/strong><\/span>
\n\u00a0
\n\u4f7f\u7528\u3059\u308b\u5217\u3092\u9078\u629e\u3059\u308b
\nname\u3068age\u3092\u305d\u306e\u307e\u307e\u4f7f\u7528
\nage\u304c18\u4ee5\u4e0a\u304b\u3092bool\u3067\u8868\u3059\u6210\u4eba\u6e08\u307f\u304b\uff1f\u306e\u5217\u3092\u8ffd\u52a0
\n\u4f7f\u7528\u3059\u308b\u884c\u3092\u9078\u629e\u3059\u308b
\n\u6210\u4eba\u6e08\u307f\u304b\uff1f\u306e\u5217\u304cTrue\u3067\u3042\u308b\u3082\u306e\u306e\u307f\u3092\u8868\u793a
\n\u4f7f\u7528\u3059\u308b\u5217\u3092\u9078\u629e\u3059\u308b
\nname\u3068age\u3092\u305d\u306e\u307e\u307e\u4f7f\u7528\uff08\u6210\u4eba\u6e08\u307f\u304b\uff1f\u306e\u5217\u306f\u8868\u793a\u3057\u306a\u3044\uff09
\n\u00a0
\n\u3088\u3063\u3066\u30d7\u30ed\u30b0\u30e9\u30e0code\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”,
\n\u3000\u3000pl.when(pl.col(“age”)>18)
\n\u3000\u3000\u3000\u3000.then(True)
\n\u3000\u3000\u3000\u3000.otherwise(False)
\n\u3000\u3000\u3000\u3000.alias(“\u6210\u4eba\u6e08\u307f\u304b\uff1f”)
\n).filter(
\n\u3000\u3000pl.col(“\u6210\u4eba\u6e08\u307f\u304b\uff1f”)
\n).select(
\n\u3000\u3000”name”,
\n\u3000\u3000”age”
\n)
\n\u00a0
\n# \u51fa\u529b
\n# shape: (2, 2)
\n# \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2510
\n# \u2502 name \u2506 age \u2502
\n# \u2502 —\u00a0 \u2506 — \u2502
\n# \u2502 str\u00a0 \u2506 i64 \u2502
\n# \u255e\u2550\u2550\u2550\u2550\u2550\u2550\u256a\u2550\u2550\u2550\u2550\u2550\u2561
\n# \u2502 one\u00a0 \u2506 20\u00a0 \u2502
\n# \u2502 two\u00a0 \u2506 30\u00a0 \u2502
\n# \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2518
\n\u00a0
\n\u3068\u3001\u3053\u306e\u3088\u3046\u306bselect\u3068filter\u3092\u4ea4\u4e92\u306b\u4f7f\u7528\u3057\u3066\u3044\u304f\u3060\u3051<\/strong><\/span>\u3067\u3001\u7c21\u5358\u306b\u3001\u308f\u304b\u308a\u3084\u3059\u304f\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u64cd\u4f5c\u304c\u3067\u304d\u307e\u3057\u305f\u3002
\n\u00a0
\n\u500b\u4eba\u7684\u306b\u3001\u81ea\u5206\u306e\u982d\u306e\u4e2d\u3067\u601d\u3063\u305f\u3053\u3068\u3092\u305d\u306e\u307e\u307e\u305d\u306e\u9806\u756a\u3067\u66f8\u304d\u9023\u306d\u3089\u308c\u308b<\/strong><\/span>\u3068\u3053\u308d\u304c\u3001Polars\u306e\u826f\u3055\u3060\u306a\u3041\u3068\u601d\u3063\u3066\u3044\u307e\u3059\u3002
\n\u00a0
\n\u899a\u3048\u3066\u3044\u305f\u3089\u3088\u308a\u4fbf\u5229\u306a\u30e1\u30bd\u30c3\u30c9\u305f\u3061<\/strong><\/span>
\n\u5217\u3092\u3059\u3079\u3066\u9078\u629e pl.all()<\/strong>
\n\u3000select\u3059\u308b\u3068\u304d\u306b\u3001\u3059\u3079\u3066\u306e\u5217\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000pl.all()
\n)
\n\u00a0
\n\u6307\u5b9a\u3057\u305f\u5217\u4ee5\u5916\u3092\u9078\u629e pl.exclude()<\/strong>
\n\u3000select\u3059\u308b\u3068\u304d\u306b\u3001\u6307\u5b9a\u3057\u305f\u5217\u4ee5\u5916\u3092\u9078\u629e\u3057\u307e\u3059\u3002
\n\u3000\u6307\u5b9a\u3057\u305f\u3044\u5217\u304c\u591a\u3044\u3068\u304d\u306b\u4fbf\u5229\u3002\u8907\u6570\u6307\u5b9a\u3082\u53ef\u80fd\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000pl.exclude(“name”)
\n)
\n\u00a0
\n\u5024\u304cnull\u304b\u3092\u5224\u5225 .is_null()<\/strong>
\n\u3000Pandas\u3067\u3044\u3046isna()\u306e\u3088\u3046\u306a\u3082\u306e\u3002
\n\u3000\u6b20\u640d\u5024\u304c\u3042\u308b\u884c\u3092\u4f7f\u7528\u3057\u306a\u3044\u3068\u304d\u306a\u3069\u306b\u4f7f\u3046\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000pl.col(“name”).is_null() # name\u304c\u6b20\u640d\u3057\u3066\u3044\u308b\u884c\u306e\u307f\u8868\u793a
\n)
\n\u00a0
\n\u5024\u304cnull\u3067\u306f\u306a\u3044\u3053\u3068\u3092\u5224\u5225 .is_not_null()<\/strong>
\n\u3000.is_null()\u306e\u9006\u3002
\n\u3000\u30c7\u30fc\u30bf\u304c\u5165\u3063\u3066\u3044\u305f\u3089True\u3002
\n\u00a0
\ndf.select(
\n\u3000\u3000pl.col(“name”).is_not_null() # name\u306e\u30c7\u30fc\u30bf\u304c\u5165\u3063\u3066\u3044\u308b\u884c\u306e\u307f\u8868\u793a
\n)
\n\u00a0
\n\u7d42\u308f\u308a\u306b<\/strong><\/span>
\n\u3053\u3053\u307e\u3067\u3067\u3001Polars\u306e\u57fa\u672c\u306e\u4f7f\u3044\u65b9\u3092\u7d39\u4ecb\u3057\u3066\u304d\u307e\u3057\u305f\u3002
\n\u00a0
\n\u300c\u307e\u3068\u3081\u300d\u306b\u3082\u66f8\u3044\u3066\u3044\u308b\u3068\u304a\u308a\u3001Polars\u306f\u6163\u308c\u308b\u3068\u53ef\u8aad\u6027\u304c\u3068\u3066\u3082\u9ad8\u3044<\/strong><\/span>\u3068\u611f\u3058\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3082\u51e6\u7406\u901f\u5ea6\u304c\u65e9\u3044<\/strong><\/span>\u306e\u3067\u3001\u591a\u5c11\u96d1\u306b\u66f8\u3044\u3066\u3082\u901f\u5ea6\u304c\u5168\u304f\u6c17\u306b\u306a\u308a\u307e\u305b\u3093\u3002
\n\u00a0
\n\u305d\u306e\u305f\u3081\u3001\u50d5\u500b\u4eba\u306e\u8a71\u3067\u3059\u304c\u3001\u4eca\u307e\u3067Pandas\u3092\u4f7f\u7528\u3057\u3066\u3044\u305f\u3068\u3053\u308d\u3092Polars\u306b\u5909\u3048\u305f\u3089\u3001\u751f\u7523\u6027\u304c\u3060\u3044\u3076\u4e0a\u304c\u308a\u307e\u3057\u305f\u3002<\/strong><\/span>\u307b\u3093\u3068\u3059\u3054\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"python\u3067\u5229\u7528\u3059\u308bpolars\u3067\u4f55\u304c\u826f\u3044\u306e\uff1f\u3000\u65e2\u306bpandas\u304c\u3042\u308b\u306e\u306b\uff1f \u63a8\u85a6\u7406\u7531\u304c\u3001\u7d39\u4ecb\u30b5\u30a4\u30c8\u306e\u6700\u5f8c\u306b\u3042\u308a\u307e\u3057\u305f\u3002 \u300c\u307e\u3068\u3081\u300d\u306b\u3082\u66f8\u3044\u3066\u3044\u308b\u3068\u304a\u308a\u3001Polars\u306f\u6163\u308c\u308b\u3068\u53ef\u8aad\u6027\u304c\u3068\u3066\u3082\u9ad8\u3044\u3068\u611f\u3058\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3082\u51e6 …","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"vk-ltc-link":"","vk-ltc-target":"0","footnotes":""},"categories":[24],"tags":[],"class_list":["post-4548","post","type-post","status-publish","format-standard","hentry","category-iot-it"],"_links":{"self":[{"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts\/4548","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/comments?post=4548"}],"version-history":[{"count":17,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts\/4548\/revisions"}],"predecessor-version":[{"id":4648,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts\/4548\/revisions\/4648"}],"wp:attachment":[{"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/media?parent=4548"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/categories?post=4548"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/tags?post=4548"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}