{"id":7974,"date":"2026-07-11T16:30:13","date_gmt":"2026-07-11T07:30:13","guid":{"rendered":"https:\/\/jfs.or.jp\/jfs-cs\/?p=7974"},"modified":"2026-07-19T20:31:33","modified_gmt":"2026-07-19T11:31:33","slug":"iot-python-polars-01","status":"publish","type":"post","link":"https:\/\/jfs.or.jp\/jfs-cs\/iot-python-polars-01\/","title":{"rendered":"IoT\u3067\u306fAI\u306b\u6e21\u3059\u30c7\u30fc\u30bf\u524d\u51e6\u7406\u306bPython\uff08Polars\uff09\u304c\u5f79\u306b\u7acb\u3064"},"content":{"rendered":"

AI\u3092IoT\u306b\u5b9f\u88c5\u3059\u308b\u3068\u304d\u3001Python\u304c\u3088\u304f\u5229\u7528\u3055\u308c\u308b\u3068\u3044\u3046\u3002\u3000
\n\u307e\u305f\u3001\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u969b\u306b\u306fPolars\u304c\u9ad8\u901f\u3067\u4f7f\u3044\u3084\u3059\u3044\u3068\u3044\u3046\u3002
\nGemini\u3055\u3093\u3001IoT\u3067\u306e\u5177\u4f53\u7684\u306a\u5229\u7528\u4f8b\u304c\u5831\u544a\u3055\u308c\u3066\u3044\u305f\u3089\u7d39\u4ecb\u3057\u3066\u3002<\/p>\n

Gemini\u306e\u56de\u7b54\uff1a<\/p>\n

AI\u3092IoT\uff08\u30e2\u30ce\u306e\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\uff09\u30c7\u30d0\u30a4\u30b9\u3084\u30a8\u30c3\u30b8\u74b0\u5883\u306b\u5b9f\u88c5\u3059\u308b\u969b\u3001Python\u3068\u9ad8\u901f\u30c7\u30fc\u30bf\u51e6\u7406\u30e9\u30a4\u30d6\u30e9\u30eaPolars\u306e\u7d44\u307f\u5408\u308f\u305b\u306f\u3001\u8fd1\u5e74\u306e\u30c8\u30ec\u30f3\u30c9\u3068\u3057\u3066\u975e\u5e38\u306b\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/strong><\/p>\n

\u3053\u308c\u307e\u3067\u30c7\u30fc\u30bf\u51e6\u7406\u3068\u3044\u3048\u3070\u300cPandas\u300d\u304c\u738b\u9053\u3067\u3057\u305f\u304c\u3001\u306a\u305cIoT\u74b0\u5883\u3067\u300cPolars\u300d\u304c\u9078\u3070\u308c\u3001\u5177\u4f53\u7684\u306b\u3069\u306e\u3088\u3046\u306b\u6d3b\u7528\u3055\u308c\u3066\u3044\u308b\u306e\u304b\u3001\u80cc\u666f\u3068\u306a\u308b\u4ed5\u7d44\u307f\u3068\u5177\u4f53\u7684\u306a\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u3092\u8a73\u3057\u304f\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n

1. \u306a\u305c\u300cPython \u00d7 Polars\u300d\u304cIoT\u3067\u5f37\u529b\u306a\u306e\u304b\uff1f<\/h3>\n

\nIoT\u30c7\u30d0\u30a4\u30b9\uff08\u30a8\u30c3\u30b8\uff09\u306f\u3001\u30af\u30e9\u30a6\u30c9\u306b\u6bd4\u3079\u3066CPU\u306e\u30b3\u30a2\u6570\u304c\u9650\u3089\u308c\u3001\u30e1\u30e2\u30ea\uff08RAM\uff09\u5bb9\u91cf\u304c\u5c11\u306a\u3044\u3068\u3044\u3046\u7279\u9577\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u5236\u9650\u4e0b\u3067\u3001\u79d2\u5358\u4f4d\u3067\u9001\u3089\u308c\u3066\u304f\u308b\u5927\u91cf\u306e\u30bb\u30f3\u30b5\u30fc\u30c7\u30fc\u30bf\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u51e6\u7406\uff08AI\u30e2\u30c7\u30eb\u3078\u306e\u5165\u529b\u6e96\u5099\u306a\u3069\uff09\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u5727\u5012\u7684\u306a\u8efd\u3055\u3068\u901f\u3055\uff08Rust\u88fd\uff09<\/h4>\n

\nPolars\u306f\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u304cRust\u8a00\u8a9e\u3067\u66f8\u304b\u308c\u3066\u304a\u308a\u3001C\u8a00\u8a9e\u4e26\u307f\u306e\u901f\u5ea6\u3092\u8a87\u308a\u307e\u3059\u3002\u30e1\u30e2\u30ea\u306e\u7121\u99c4\u306a\u30b3\u30d4\u30fc\u3092\u884c\u308f\u306a\u3044\u305f\u3081\u3001\u30e1\u30e2\u30ea\u6d88\u8cbb\u91cf\u304c\u6975\u3081\u3066\u5c11\u306a\u304f\u3001\u4f4e\u30b9\u30da\u30c3\u30af\u306aIoT\u6a5f\u5668\u3067\u3082\u52d5\u4f5c\u3057\u3084\u3059\u3044\u306e\u304c\u7279\u5fb4\u3067\u3059\u3002<\/p>\n

\u30de\u30eb\u30c1\u30b9\u30ec\u30c3\u30c9\u306e\u81ea\u52d5\u6700\u9069\u5316<\/strong>
\nRaspberry Pi\u306a\u3069\u306e\u5c0f\u578b\u30dc\u30fc\u30c9\u3067\u3082\u3001\u8fd1\u5e74\u306eCPU\u306f\u30de\u30eb\u30c1\u30b3\u30a2\uff084\u30b3\u30a2\u306a\u3069\uff09\u304c\u4e3b\u6d41\u3067\u3059\u3002Pandas\u306f\u539f\u52471\u30b3\u30a2\u3057\u304b\u4f7f\u3048\u307e\u305b\u3093\u304c\u3001Polars\u306f\u6a19\u6e96\u3067\u5168\u30b3\u30a2\u3092\u4f7f\u3044\u5207\u308b\u4e26\u5217\u51e6\u7406\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n

Lazy Evaluation\uff08\u9045\u5ef6\u8a55\u4fa1\uff09\u306b\u3088\u308b\u7701\u30e1\u30e2\u30ea<\/strong>
\n\u300c\u30c7\u30fc\u30bf\u3092\u5168\u3066\u8aad\u307f\u8fbc\u3093\u3067\u304b\u3089\u51e6\u7406\u3059\u308b\u300d\u306e\u3067\u306f\u306a\u304f\u3001\u300c\u3069\u3046\u51e6\u7406\u3059\u308b\u304b\u300d\u3068\u3044\u3046\u8a08\u753b\u3092\u7acb\u3066\u3001\u6700\u5c0f\u9650\u306e\u30e1\u30e2\u30ea\u6d88\u8cbb\u3067\u52b9\u7387\u3088\u304f\u30c7\u30fc\u30bf\u3092\u9593\u5f15\u3044\u305f\u308a\u96c6\u8a08\u3057\u305f\u308a\u3057\u307e\u3059\u3002<\/p>\n

2. \u5177\u4f53\u7684\u306a\u5229\u7528\u4f8b\uff08\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\uff09<\/h3>\n

\u88fd\u9020\u696d\u306e\u30b9\u30de\u30fc\u30c8\u30d5\u30a1\u30af\u30c8\u30ea\u30fc\u3084\u3001\u81ea\u52d5\u8eca\u306e\u8eca\u8f09\u30c7\u30d0\u30a4\u30b9\uff08\u30b3\u30cd\u30af\u30c6\u30c3\u30c9\u30ab\u30fc\uff09\u3001\u30b9\u30de\u30fc\u30c8\u8fb2\u696d\u306a\u3069\u306e\u73fe\u5834\u3067\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5f62\u3067\u300cPython + Polars + AI\u300d\u306e\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u304c\u69cb\u7bc9\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u2460 \u5de5\u5834\u6a5f\u68b0\u306e\u7570\u5e38\u691c\u77e5\uff08\u632f\u52d5\u30fb\u6e29\u5ea6\u30bb\u30f3\u30b5\u30fc\uff09<\/strong>
\n\u72b6\u6cc1\uff1a \u6a5f\u68b0\u306b\u53d6\u308a\u4ed8\u3051\u3089\u308c\u305f\u30bb\u30f3\u30b5\u30fc\u304b\u3089\u3001\u6bce\u79d2\u6570\u767e\u884c\u306e\u300c\u632f\u52d5\u30fb\u5468\u6ce2\u6570\u30fb\u6e29\u5ea6\u300d\u306e\u30c7\u30fc\u30bf\u304c\u6d41\u308c\u3066\u304f\u308b\u3002<\/p>\n

Polars\u306e\u5f79\u5272\uff08\u524d\u51e6\u7406\uff09\uff1a<\/strong>
\nAI\u30e2\u30c7\u30eb\uff08LightGBM\u3084Scikit-learn\u306a\u3069\uff09\u306b\u30c7\u30fc\u30bf\u3092\u6e21\u3059\u524d\u306b\u3001\u76f4\u8fd110\u79d2\u9593\u306e\u300c\u5e73\u5747\u5024\u300d\u300c\u6700\u5927\u5024\u300d\u300c\u6a19\u6e96\u504f\u5dee\u300d\u3068\u3044\u3063\u305f\u7279\u5fb4\u91cf\u3092\u8a08\u7b97\uff08\u30ed\u30fc\u30ea\u30f3\u30b0\u30a6\u30a3\u30f3\u30c9\u30a6\u51e6\u7406\uff09\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002Polars\u306f\u3053\u306e\u6642\u9593\u8ef8\u306e\u96c6\u8a08\u51e6\u7406\uff08rolling\u95a2\u6570\u306a\u3069\uff09\u304c\u8d85\u9ad8\u901f\u306a\u305f\u3081\u3001\u30a8\u30c3\u30b8\u5074\u3067\u30bf\u30a4\u30e0\u30e9\u30b0\u306a\u304f\u30c7\u30fc\u30bf\u3092\u52a0\u5de5\u3067\u304d\u307e\u3059\u3002<\/p>\n

AI\u306e\u5f79\u5272\uff1a<\/strong> \u52a0\u5de5\u3055\u308c\u305f\u7dba\u9e97\u306a\u30c7\u30fc\u30bf\u3092\u8efd\u91cf\u306a\u63a8\u8ad6\u30e2\u30c7\u30eb\u306b\u6295\u5165\u3057\u3001\u300c\u3044\u3064\u3082\u3068\u9055\u3046\u632f\u52d5\u300d\u3092\u691c\u77e5\u3057\u3066\u73fe\u5834\u306e\u30a2\u30e9\u30fc\u30c8\u3092\u9cf4\u3089\u3057\u307e\u3059\u3002<\/p>\n

\u2461 \u30c9\u30ed\u30fc\u30f3\u3084\u8eca\u8f09\u30ab\u30e1\u30e9\u306e\u30c9\u30e9\u30a4\u30d6\u30ec\u30b3\u30fc\u30c0\u30fc\uff08GPS\u00d7\u6620\u50cf\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/h3>\n

\u72b6\u6cc1\uff1a<\/strong> \u8d70\u884c\u4e2d\u306e\u8eca\u4e21\u304b\u3089\u3001\u4f4d\u7f6e\u60c5\u5831\uff08GPS\uff09\u3001\u52a0\u901f\u5ea6\u3001\u8eca\u8f09\u30ab\u30e1\u30e9\u306eAI\u304c\u691c\u77e5\u3057\u305f\u300c\u6b69\u884c\u8005\u6570\u300d\u306a\u3069\u306e\u30ed\u30b0\u304c\u540c\u6642\u4e26\u884c\u3067\u8a18\u9332\u3055\u308c\u308b\u3002<\/p>\n

Polars\u306e\u5f79\u5272\uff08\u524d\u51e6\u7406\uff09\uff1a<\/strong>
\nGPS\u306e\u30ed\u30b0\u3001\u52a0\u901f\u30bb\u30f3\u30b5\u30fc\u306e\u30ed\u30b0\u3001AI\u753b\u50cf\u8a8d\u8b58\u306e\u30ed\u30b0\u306f\u3001\u305d\u308c\u305e\u308c\u8a18\u9332\u3055\u308c\u308b\u30bf\u30a4\u30df\u30f3\u30b0\uff08\u30df\u30ea\u79d2\u5358\u4f4d\uff09\u304c\u5fae\u5999\u306b\u30ba\u30ec\u3066\u3044\u307e\u3059\u3002<\/p>\n

Polars\u306e\u6a5f\u80fd\u300cjoin_asof\uff08\u8fd1\u4f3c\u6642\u9593\u7d50\u5408\uff09\u300d\u3067\u3001\u6642\u523b\u304c\u5b8c\u5168\u306b\u4e00\u81f4\u3057\u3066\u3044\u306a\u3044\u5225\u3005\u306e\u30bb\u30f3\u30b5\u30fc\u30c7\u30fc\u30bf\u3092\u30011\u3064\u306e\u30c7\u30fc\u30bf\u884c\u306b\u7d71\u5408\u3002
\n\u30b3\u30fc\u30c9\u4f8b<\/p>\n

#join_asof \u306e\u5b9f\u884c\u3000\u5de6\u5074\u306e\u30c7\u30fc\u30bf\u3068\u53f3\u5074\u306e\u30c7\u30fc\u30bf\u3092\u8fd1\u63a5\u6642\u523b\u3067\u7d50\u5408<\/code>
\nresult = trades.join_asof(<\/code>
\n\u00a0 \u00a0 quotes,<\/code>
\n\u00a0 \u00a0 on=\"time\",<\/code>
\n\u00a0 \u00a0 strategy=\"backward\"<\/code>
\n)<\/code><\/p>\n

 <\/p>\n

AI\u306e\u5f79\u5272\uff1a \u7d71\u5408\u3055\u308c\u305f\u30c7\u30fc\u30bf\u304b\u3089\u300c\u6025\u30d6\u30ec\u30fc\u30ad\u6642\u306e\u5371\u967a\u5ea6\u30b9\u30b3\u30a2\u300d\u3092\u7b97\u51fa\u3059\u308bAI\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u30fb\u63a8\u8ad6\u306b\u56de\u3057\u307e\u3059\u3002<\/p>\n

\u2462 \u30b9\u30de\u30fc\u30c8\u30e1\u30fc\u30bf\u30fc\uff08\u96fb\u529b\u30fb\u6c34\u91cf\u306e\u901a\u4fe1\u7aef\u672b\uff09\u306e\u30c7\u30fc\u30bf\u9593\u5f15\u304d<\/h3>\n

\u72b6\u6cc1\uff1a<\/strong> \u5730\u57df\u4e00\u5e2f\u306e\u30b9\u30de\u30fc\u30c8\u30e1\u30fc\u30bf\u30fc\u304b\u3089\u9001\u3089\u308c\u3066\u304f\u308b\u5927\u91cf\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3002\u305d\u306e\u307e\u307e\u30af\u30e9\u30a6\u30c9\u306b\u9001\u4fe1\u3059\u308b\u3068\u901a\u4fe1\u901a\u4fe1\u8cbb\uff08LTE\u56de\u7dda\u4ee3\u306a\u3069\uff09\u304c\u8df3\u306d\u4e0a\u304c\u308b\u3002<\/p>\n

Polars\u306e\u5f79\u5272\uff1a<\/strong>
\n\u30a8\u30c3\u30b8\u5074\uff08\u4e2d\u7d99\u7aef\u672b\uff09\u3067Polars\u3092\u52d5\u304b\u3057\u30011\u5206\u5358\u4f4d\u306e\u7d30\u304b\u3044\u30c7\u30fc\u30bf\u3092\u300c15\u5206\u3054\u3068\u306e\u5e73\u5747\u5024\u300d\u306b1\/15\u306b\u5727\u7e2e\u30fb\u96c6\u8a08\uff08\u30c0\u30a6\u30f3\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\uff09\u3057\u307e\u3059\u3002<\/p>\n

AI\u306e\u5f79\u5272\uff1a<\/strong> \u5727\u7e2e\u3057\u3066\u30af\u30e9\u30a6\u30c9\u306b\u9001\u3089\u308c\u305f\u30c7\u30fc\u30bf\u304b\u3089\u3001AI\u304c\u300c\u5730\u57df\u306e\u5c06\u6765\u306e\u96fb\u529b\u9700\u8981\u4e88\u6e2c\u300d\u3084\u300c\u6f0f\u6c34\u30fb\u6f0f\u96fb\u306e\u691c\u77e5\u300d\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n

3. \u5b9f\u969b\u306e\u30b3\u30fc\u30c9\u306e\u30a4\u30e1\u30fc\u30b8<\/h3>\n

Python\u3067Polars\u3092\u4f7f\u3046\u3068\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u76f4\u611f\u7684\u304b\u3064\u9ad8\u901f\u306a\u51e6\u7406\u3092\u8a18\u8ff0\u3067\u304d\u307e\u3059\u3002<\/p>\n

Python\u3000\u3067\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u4f8b<\/p>\n

import polars as pl<\/code>
\n# 1. \u30bb\u30f3\u30b5\u30fc\u304c\u5410\u304d\u51fa\u3057\u305f\u81a8\u5927\u306aCSV\uff08\u307e\u305f\u306fParquet\uff09\u3092\u9ad8\u901f\u30fb\u7701\u30e1\u30e2\u30ea\u3067\u8aad\u307f\u8fbc\u3080<\/code>
\n# lazy\uff08\u9045\u5ef6\u8a55\u4fa1\uff09\u30e2\u30fc\u30c9\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u5fc5\u8981\u306a\u51e6\u7406\u304c\u78ba\u5b9a\u3059\u308b\u307e\u3067\u30e1\u30e2\u30ea\u3092\u4f7f\u3044\u307e\u305b\u3093<\/code>
\ndf_lazy = pl.scan_csv(\"sensor_data.csv\")<\/code>
\n# 2. 1\u79d2\u3054\u3068\u306b\u767a\u751f\u3059\u308b\u30c7\u30fc\u30bf\u3092\u300c5\u5206\u5358\u4f4d\u300d\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u3066\u5e73\u5747\u5024\u3092\u8a08\u7b97\uff08\u524d\u51e6\u7406\uff09<\/code>
\nsummary_df = (<\/code>
\n\u00a0 \u00a0 df_lazy<\/code>
\n\u00a0 \u00a0 .group_by_dynamic(\"timestamp\", every=\"5m\")<\/code>
\n\u00a0 \u00a0 .agg([<\/code>
\n\u00a0 \u00a0 \u00a0 \u00a0 pl.col(\"temperature\").mean().alias(\"temp_mean\"),<\/code>
\n\u00a0 \u00a0 \u00a0 \u00a0 pl.col(\"vibration\").max().alias(\"vibe_max\")<\/code>
\n\u00a0 \u00a0 ])<\/code>
\n\u00a0 \u00a0 .collect() # \u3053\u3053\u3067\u521d\u3081\u3066\u5b9f\u969b\u306e\u8a08\u7b97\u304c\u8d85\u9ad8\u901f\u3067\u5b9f\u884c\u3055\u308c\u308b<\/code>
\n)<\/code>
\n# 3. \u3053\u306e\u5f8c\u3001\u51fa\u6765\u4e0a\u304c\u3063\u305f\u30c7\u30fc\u30bf\u3092AI\u30e2\u30c7\u30eb\uff08model.predict\uff09\u306b\u6295\u5165\u3059\u308b<\/code><\/p>\n

 <\/p>\n

\u307e\u3068\u3081
\nIoT\u00d7AI\u306e\u73fe\u5834\u306b\u304a\u3044\u3066\u3001Python\u304c\u300cAI\u30e2\u30c7\u30eb\u306e\u6271\u3044\u3084\u3059\u3055\uff08\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u8c4a\u5bcc\u3055\uff09\u300d\u3092\u62c5\u4fdd\u3057\u3001Polars\u304c\u300c\u975e\u529b\u306a\u30a8\u30c3\u30b8\u30c7\u30d0\u30a4\u30b9\u3067\u306e\u8d85\u9ad8\u901f\u30c7\u30fc\u30bf\u51e6\u7406\uff08\u8db3\u56de\u308a\u306e\u5f37\u3055\uff09\u300d\u3092\u62c5\u4fdd\u3059\u308b\u3001\u3068\u3044\u3046\u5b8c\u74a7\u306a\u5f79\u5272\u5206\u62c5\u304c\u6210\u7acb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3082\u3057\u4eca\u5f8c\u3001\u30e9\u30ba\u30d1\u30a4\u306a\u3069\u306e\u5c0f\u578b\u6a5f\u5668\u3067\u30c7\u30fc\u30bf\u5206\u6790\u3084AI\u63a8\u8ad6\u3092\u8a66\u3055\u308c\u308b\u5834\u5408\u306f\u3001Pandas\u306e\u4ee3\u308f\u308a\u306bPolars\u3092\u5c0e\u5165\u3059\u308b\u3060\u3051\u3067\u3001\u51e6\u7406\u901f\u5ea6\u304c\u6570\u500d\u301c\u6570\u5341\u500d\u306b\u306a\u308a\u3001\u30e1\u30e2\u30ea\u4e0d\u8db3\u306b\u3088\u308b\u30a8\u30e9\u30fc\uff08OOM\uff09\u3092\u5287\u7684\u306b\u6e1b\u3089\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

 <\/p>\n

Excel\u306eShift\uff0dJIS\u56de\u907f\u65b9\u6cd5\u3000Python\u306fUTF-8\u3000Coding Error<\/h2>\n

\u65e5\u672c\u8a9e\u74b0\u5883\u3067\u306eExcel\u306f\u3001\u6a19\u6e96\u3068\u3057\u3066Shift-JIS\u3092\u5229\u7528\u3057CSV\u3082\u3002
\nPython\u3084Polars\u306f\u3000UTF-8\u304c\u6a19\u6e96\u3067\u305d\u306e\u307e\u307e\u8aad\u307f\u8fbc\u3082\u3046\u3068\u3059\u308b\u3068Code-error\u304c\u767a\u751f\u3002
\n\u56de\u907f\u3059\u308b\u65b9\u6cd5\u3068\u3057\u3066\u306f\u3001\u4e0b\u8a18\u304c\u6709\u52b9\u3002<\/p>\n

Python\u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570 open() <\/code> \u3067\u3042\u3089\u304b\u3058\u3081 encoding=\"cp932\" <\/code> \u3092\u6307\u5b9a\u3057\u3066\u30d5\u30a1\u30a4\u30eb\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u958b\u304d\u3001
\n\u305d\u308c\u3092Polars\u306b\u6e21\u3059\u306e\u304c\u6700\u3082\u30b7\u30f3\u30d7\u30eb\u3067\u3059\u3002<\/p>\n

Python<\/p>\n

\r\nimport polars as pl\r\n# open() \u3067\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3092\u660e\u793a\u3057\u3066\u8aad\u307f\u8fbc\u3080\r\nwith open(\"excel_output.csv\", mode=\"rb\") as f:\r\n    df = pl.read_csv(f.read(), encoding=\"cp932\")\r\nprint(df)\r\n<\/code><\/pre>\n
 <\/p>\n","protected":false},"excerpt":{"rendered":"AI\u3092IoT\u306b\u5b9f\u88c5\u3059\u308b\u3068\u304d\u3001Python\u304c\u3088\u304f\u5229\u7528\u3055\u308c\u308b\u3068\u3044\u3046\u3002\u3000 \u307e\u305f\u3001\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u969b\u306b\u306fPolars\u304c\u9ad8\u901f\u3067\u4f7f\u3044\u3084\u3059\u3044\u3068\u3044\u3046\u3002 Gemini\u3055\u3093\u3001IoT\u3067\u306e\u5177\u4f53\u7684\u306a\u5229\u7528\u4f8b\u304c\u5831\u544a\u3055\u308c\u3066\u3044\u305f\u3089\u7d39\u4ecb\u3057\u3066\u3002 Gemini …","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","vk-ltc-link":"","vk-ltc-target":"0"},"categories":[24],"tags":[],"class_list":["post-7974","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\/7974","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=7974"}],"version-history":[{"count":7,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts\/7974\/revisions"}],"predecessor-version":[{"id":8026,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/posts\/7974\/revisions\/8026"}],"wp:attachment":[{"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/media?parent=7974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/categories?post=7974"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jfs.or.jp\/jfs-cs\/wp-json\/wp\/v2\/tags?post=7974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}