{"id":46538,"date":"2023-10-30T00:53:24","date_gmt":"2022-11-29T19:23:35","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46538-2\/"},"modified":"2024-05-04T06:38:56","modified_gmt":"2024-05-03T22:38:56","slug":"46538-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46538-2\/","title":{"rendered":""},"content":{"rendered":"

\u672c\u8a18\u4e8b\u306f\u30b3\u30cd\u30d2\u30c8 Advent Calendar 2019 24\u65e5\u76ee\u306e\u8a18\u4e8b\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u306f\u3058\u3081\u306b<\/h2>\n

Jupyter Notebook\u306f\u30d7\u30ed\u30b0\u30e9\u30e0\u30b3\u30fc\u30c9\u3084\u6570\u5f0f\u3001\u56f3\u3001\u8aac\u660e\u6587\u306a\u3069\u3092\u542b\u3080\u6587\u66f8\u3092\u4f5c\u6210\u3057\u3001\u5171\u6709\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3001\u30c7\u30fc\u30bf\u89e3\u6790\u7528\u306eWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u3059\u3002\u4e00\u898b\u3059\u308b\u3068Jupyter Notebook\u3068Kotlin\u306f\u3042\u307e\u308a\u95a2\u9023\u6027\u304c\u306a\u3055\u305d\u3046\u306b\u898b\u3048\u307e\u3059\u304c\u3001Jupyter Notebook\u3067\u3082Kotlin\u304c\u4f7f\u3048\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u306e\u3067\u3001\u89e6\u3063\u3066\u307f\u305f\u5185\u5bb9\u3092\u5171\u6709\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

Jupyter Notebook\u3067Kotlin\u304c\u5229\u7528\u3067\u304d\u308b\u3053\u3068\u3092\u77e5\u3063\u305f<\/h2>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n

Jupyter Notebook\u3067Kotlin\u3092\u5229\u7528\u3059\u308b\u306b\u306f\uff1f<\/h2>\n

Jupyter Notebook\u3067Kotlin\u3092\u4f7f\u3046\u306b\u306f\u3001Kernel\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002Kernel\u3068\u306f\u3001\u5165\u529b\u3055\u308c\u305f\u30b3\u30fc\u30c9\u3092\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u51e6\u7406\u3057\u3066\u7d50\u679c\u3092\u8fd4\u3059\u30d7\u30ed\u30bb\u30b9\u306e\u3053\u3068\u3092\u8868\u3057\u307e\u3059\u3002\u3059\u3067\u306b\u69d8\u3005\u306aKernel\u304c\u3042\u308a\u3001Kotlin\u306eKernel\u306fkotlin-jupyter-kernel\u306b\u306a\u308a\u307e\u3059\u3002Jupyter Notebook\u81ea\u4f53\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u5272\u611b\u3055\u305b\u3066\u3044\u305f\u3060\u304d\u307e\u3059\u304c\u3001kotlin-jupyter-kernel\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306bConda\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3063\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002kotlin-jupyter-kernel\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u306bJupyter Notebook\u3092\u8d77\u52d5\u3057\u3001\u300cNew -> Notebooks -> Kotlin\u300d\u3068Kotlin\u306eNotebook\u3092\u4f5c\u6210\u3067\u304d\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\n

$ conda install kotlin-jupyter-kernel -c jetbrains\r\n$ jupyter notebook\r\n<\/code><\/pre>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Notebook\u3092\u65b0\u898f\u4f5c\u6210\u3057\u3066\u3001Hello World\u3092\u8a66\u3057\u305f\u4f8b\u3067\u3059\u3002\u307e\u305f\u3001\u30ed\u30fc\u30ab\u30eb\u74b0\u5883\u3060\u3051\u3067\u306a\u304fBinder\u3068\u3044\u3046\u30b5\u30fc\u30d3\u30b9\u304b\u3089Jupyter Notebook\u3092Web\u4e0a\u3067\u7c21\u5358\u306b\u8a66\u3059\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3064\u3044\u3066<\/h2>\n
\u3053\u3053\u307e\u3067Jupyter Notebook\u3067Kotlin\u3092\u4f7f\u3046\u90e8\u5206\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002\u3067\u306f\u3001\u5b9f\u969b\u306b\u30c7\u30fc\u30bf\u5206\u6790\u3092\u3059\u308b\u306b\u306f\u3069\u3046\u3059\u308b\u306e\u3067\u3057\u3087\u3046\u304b\u3002Kotlin\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3059\u3067\u306b\u591a\u304f\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u5b58\u5728\u3057\u307e\u3059\u3002\u4e0b\u56f3\u306e\u9752\u3044\u9805\u76ee\u304cKotlin\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
lets-plot\u30e9\u30a4\u30d6\u30e9\u30ea<\/h3>\n
\u3044\u304f\u3064\u304bKotlin\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\u304c\u3001\u3053\u3053\u304b\u3089\u306flets-plot\u3068krangl\u306e\u30c7\u30fc\u30bf\u64cd\u4f5c\u3068\u30c1\u30e3\u30fc\u30c8\u306b\u95a2\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u7d5e\u3063\u3066\u7d39\u4ecb\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002\u307e\u305a\u306flets-plot\u3067\u3001\u3053\u308c\u306f\u30c1\u30e3\u30fc\u30c8\u3092\u7c21\u5358\u306b\u63cf\u753b\u3067\u304d\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u4ee5\u4e0b\u306e\u30c1\u30e3\u30fc\u30c8\u304c\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u304a\u308a\u3001\u63cf\u753b\u30b5\u30f3\u30d7\u30eb\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n
\n
\u30c1\u30e3\u30fc\u30c8\u30e1\u30bd\u30c3\u30c9\u540dArea chartgeom_area()Bar chartgeom_bar()Boxplot chartgeom_boxplot()Contour chartgeom_contour(), geom_contourf()Density chartgeom_density() and geom_density2d()Error bar chartgeom_errorbar()Historgamgeom_histogram()Line chartgeom_line()Scatter chartgeom_point()Polygon chartgeom_polygon()Rectangle chart, Tile chartgeom_rect(), geom_tile()Image plotgeom_image()<\/div>\n<\/div>\n
Boxplot chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Historgam chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Line chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Bar chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Scatter chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Tile chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Density chart<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
krangl\u30e9\u30a4\u30d6\u30e9\u30ea<\/h3>\n
\u6b21\u306bkrangl\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u3092\u884c\u5217\u306e\u30c7\u30fc\u30bf\u5f62\u5f0f\u306b\u5909\u63db\u3001\u96c6\u8a08\u3001\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u306a\u3069\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u57fa\u672c\u7684\u306a\u64cd\u4f5c\u304c\u884c\u3048\u307e\u3059\u3002krangl\u306b\u306firisData\u304c\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u305d\u308c\u3089\u3082\u7528\u3044\u3066\u30b5\u30f3\u30d7\u30eb\u3092\u4f5c\u3063\u3066\u307f\u307e\u3059\u3002<\/p>\n
irisData\u306e\u8868\u793a<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u4f5c\u6210\u3068\u8868\u793a<\/h4>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Slack\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u5206\u6790<\/h2>\n
\u3053\u3053\u307e\u3067\u3001Jupyter Notebook\u3068Kotlin Kernel\u3068\u30c1\u30e3\u30fc\u30c8\u3068\u30c7\u30fc\u30bf\u64cd\u4f5c\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3057\u305f\u3002\u3067\u306f\u3001Slack\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u7c21\u5358\u306a\u30c7\u30fc\u30bf\u5206\u6790\u3092\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002Slack\u30c7\u30fc\u30bf\u306b\u95a2\u3057\u3066\u306f\u3001\u6a29\u9650\u304c\u3042\u308c\u3070\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u304b\u3089\u30c7\u30fc\u30bf\u3092\u7c21\u5358\u306b\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3067\u304d\u307e\u3059\u3002\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u306e\u30c7\u30fc\u30bf\u3092\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3059\u308b\u3068\u3001\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u5c65\u6b74\u3084\u30d5\u30a1\u30a4\u30eb\u3078\u306e\u30ea\u30f3\u30af\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b .zip \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059\u3002 \u30c7\u30fc\u30bf\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u306b\u306f\u4ee5\u4e0b2\u7a2e\u985e\u3042\u308a\u3001\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u306e\u30aa\u30fc\u30ca\u30fc\u3068\u7ba1\u7406\u8005\u306b\u3088\u3063\u3066\u306e\u307f\u5b9f\u884c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n
\n
\n\u516c\u958b\u30c7\u30fc\u30bf\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u306e\u5168\u30c7\u30fc\u30bfchannels.json\ue301\ue301dms.json
\n\ue301groups.json
\n\ue301integration_logs.json\ue301\ue301mpims.json
\n\ue301users.json\ue301\ue301\u5168\u30c1\u30e3\u30f3\u30cd\u30eb\u306e\u30d5\u30a9\u30eb\u30c0\ue301\ue301<\/div>\n<\/div>\n
\u3044\u304f\u3064\u304b\u30b5\u30f3\u30d7\u30eb\u3092\u7d39\u4ecb\u3057\u307e\u3059\u304c\u3001\u30b3\u30cd\u30d2\u30c8\u306eSlack\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u30c7\u30fc\u30bf\u62bd\u51fa\u3092\u884c\u3044\u307e\u3057\u305f\u306e\u3067\u3001\u4e00\u90e8\u30e2\u30b6\u30a4\u30af\u3092\u304b\u3051\u3066\u3044\u307e\u3059\u3002<\/p>\n
channels.json\u304b\u3089\u53c2\u52a0\u8005\u306e\u591a\u3044\u4e0a\u4f4d\u306e\u30c1\u30e3\u30f3\u30cd\u30eb\u3092\u62bd\u51fa\u3059\u308b<\/h3>\n
\/\/ krangl, lets-plot\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/span>\r\n%<\/span>use<\/span> krangl<\/span>,<\/span> lets-plot<\/span>\r\n\r\n\/\/ Json\u914d\u5217\u304b\u3089List\u578b\u306b\u5909\u63db<\/span>\r\nfun<\/span> readFromJsonString<\/span>(<\/span>s<\/span>:<\/span> String<\/span>)<\/span> =<\/span>\r\n    s<\/span>.<\/span>removePrefix<\/span>(<\/span>\"JsonArray(value=[\"<\/span>)<\/span>\r\n    .<\/span>removeSuffix<\/span>(<\/span>\"])\"<\/span>)<\/span>\r\n    .<\/span>split<\/span>(<\/span>\",\"<\/span>)<\/span>\r\n    .<\/span>dropLastWhile<\/span> {<\/span> it<\/span>.<\/span>isEmpty<\/span>()<\/span> }<\/span>\r\n    .<\/span>toList<\/span>()<\/span>\r\n\r\n\/\/ \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u751f\u6210<\/span>\r\nval<\/span> channels<\/span> =<\/span> DataFrame<\/span>.<\/span>fromJson<\/span>(<\/span>\"channels.json\"<\/span>)<\/span>\r\n    .<\/span>addColumn<\/span>(<\/span>\"channle_members\"<\/span>)<\/span> {<\/span> it<\/span>[<\/span>\"members\"<\/span>].<\/span>map<\/span><<\/span>String<\/span>><\/span> {<\/span> value<\/span> -><\/span> readFromJsonString<\/span>(<\/span>value<\/span>)<\/span> }<\/span> }<\/span>\r\n    .<\/span>addColumn<\/span>(<\/span>\"count\"<\/span>)<\/span> {<\/span> it<\/span>[<\/span>\"channle_members\"<\/span>].<\/span>map<\/span><<\/span>List<\/span><<\/span>String<\/span>>><\/span> {<\/span> it<\/span>.<\/span>count<\/span>()<\/span> }<\/span> }<\/span>\r\n    .<\/span>filter<\/span> {<\/span> it<\/span>[<\/span>\"is_archived\"<\/span>]<\/span> eq<\/span> false<\/span> }<\/span>\r\n    .<\/span>select<\/span>(<\/span>\"id\"<\/span>,<\/span> \"name\"<\/span>,<\/span> \"channle_members\"<\/span>,<\/span> \"count\"<\/span>)<\/span>\r\n    .<\/span>sortedByDescending<\/span>(<\/span>\"count\"<\/span>)<\/span>\r\n\r\n\/\/ \u51fa\u529b\u7528\u306b\u30c7\u30fc\u30bf\u306e\u6574\u5f62<\/span>\r\nval<\/span> data<\/span> =<\/span> mapOf<\/span>(<\/span>\r\n    \"name\"<\/span> to<\/span> channels<\/span>[<\/span>\"name\"<\/span>].<\/span>asStrings<\/span>().<\/span>toList<\/span>(),<\/span>\r\n    \"count\"<\/span> to<\/span> channels<\/span>[<\/span>\"count\"<\/span>].<\/span>asInts<\/span>().<\/span>toList<\/span>()<\/span>\r\n)<\/span>\r\n\r\n\/\/ \u30b0\u30e9\u30d5\u306e\u63cf\u753b<\/span>\r\nlets_plot<\/span>(<\/span>data<\/span>)<\/span> +<\/span> \r\n    geom_bar<\/span>(<\/span>stat<\/span> =<\/span> Stat<\/span>.<\/span>identity<\/span>)<\/span> {<\/span>\r\n        x<\/span> =<\/span> \"name\"<\/span>\r\n        y<\/span> =<\/span> \"count\"<\/span>\r\n    }<\/span>\r\n<\/code><\/pre>\n
\"plots1.png\"<\/div>\n
users.json\u304b\u3089TimeZone\u5225\u306b\u30e6\u30fc\u30b6\u3092\u62bd\u51fa\u3059\u308b<\/h3>\n
\/\/ krangl, lets-plot\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/span>\r\n%<\/span>use<\/span> krangl<\/span>,<\/span> lets-plot<\/span>\r\n\r\n\/\/ \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u751f\u6210<\/span>\r\nval<\/span> channels<\/span> =<\/span> DataFrame<\/span>.<\/span>fromJson<\/span>(<\/span>\"users.json\"<\/span>)<\/span>\r\n    .<\/span>filterByRow<\/span> {<\/span> (<\/span>it<\/span>[<\/span>\"tz\"<\/span>]<\/span> as<\/span>?<\/span> String<\/span>)<\/span>?.<\/span>isNotEmpty<\/span>()<\/span> ==<\/span> true<\/span> }<\/span>\r\n    .<\/span>filterByRow<\/span> {<\/span> (<\/span>it<\/span>[<\/span>\"deleted\"<\/span>]<\/span> as<\/span> Boolean<\/span>)<\/span> ==<\/span> false<\/span> }<\/span>\r\n    .<\/span>select<\/span>(<\/span>\"id\"<\/span>,<\/span> \"name\"<\/span>,<\/span> \"tz\"<\/span>)<\/span>\r\n    .<\/span>sortedByDescending<\/span>(<\/span>\"id\"<\/span>)<\/span>\r\n\r\n\/\/ tz\u6bce\u306b\u30b0\u30eb\u30fc\u30d4\u30f3\u30b0<\/span>\r\nval<\/span> groupData<\/span> =<\/span> channels<\/span>.<\/span>groupBy<\/span>(<\/span>\"tz\"<\/span>).<\/span>count<\/span>()<\/span>\r\n\r\n\/\/ \u51fa\u529b\u7528\u306b\u30c7\u30fc\u30bf\u306e\u6574\u5f62<\/span>\r\nval<\/span> data<\/span> =<\/span> mapOf<\/span>(<\/span>\r\n    \"name\"<\/span> to<\/span> groupData<\/span>[<\/span>\"tz\"<\/span>].<\/span>asStrings<\/span>().<\/span>toList<\/span>(),<\/span>\r\n    \"count\"<\/span> to<\/span> groupData<\/span>[<\/span>\"n\"<\/span>].<\/span>asInts<\/span>().<\/span>toList<\/span>()<\/span>\r\n)<\/span>\r\n\r\n\/\/ \u30b0\u30e9\u30d5\u306e\u63cf\u753b<\/span>\r\nlets_plot<\/span>(<\/span>data<\/span>)<\/span> +<\/span> \r\n    geom_bar<\/span>(<\/span>stat<\/span> =<\/span> Stat<\/span>.<\/span>identity<\/span>)<\/span> {<\/span>\r\n        x<\/span> =<\/span> \"name\"<\/span>\r\n        y<\/span> =<\/span> \"count\"<\/span>\r\n    }<\/span>\r\n\r\n<\/code><\/pre>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
integration_logs.json\u304b\u3089Slack\u306e\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u30bf\u30a4\u30d7\u5225\u306b\u62bd\u51fa\u3059\u308b<\/h3>\n
\/\/ krangl, lets-plot\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/span>\r\n%<\/span>use<\/span> krangl<\/span>,<\/span> lets-plot<\/span>\r\n\r\n\/\/ \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u751f\u6210<\/span>\r\nval<\/span> channels<\/span> =<\/span> DataFrame<\/span>.<\/span>fromJson<\/span>(<\/span>\"integration_logs.json\"<\/span>)<\/span>\r\n    .<\/span>filterByRow<\/span> {<\/span> (<\/span>it<\/span>[<\/span>\"service_type\"<\/span>]<\/span> as<\/span>?<\/span> String<\/span>)<\/span>?.<\/span>isNotEmpty<\/span>()<\/span> ==<\/span> true<\/span> }<\/span>\r\n    .<\/span>select<\/span>(<\/span>\"service_type\"<\/span>)<\/span>\r\n\r\n\/\/ service_type\u6bce\u306b\u30b0\u30eb\u30fc\u30d4\u30f3\u30b0<\/span>\r\nval<\/span> groupData<\/span> =<\/span> channels<\/span>.<\/span>groupBy<\/span>(<\/span>\"service_type\"<\/span>).<\/span>count<\/span>()<\/span>\r\n\r\n\/\/ \u51fa\u529b\u7528\u306b\u30c7\u30fc\u30bf\u306e\u6574\u5f62<\/span>\r\nval<\/span> data<\/span> =<\/span> mapOf<\/span>(<\/span>\r\n    \"name\"<\/span> to<\/span> groupData<\/span>[<\/span>\"service_type\"<\/span>].<\/span>asStrings<\/span>().<\/span>toList<\/span>(),<\/span>\r\n    \"count\"<\/span> to<\/span> groupData<\/span>[<\/span>\"n\"<\/span>].<\/span>asInts<\/span>().<\/span>toList<\/span>()<\/span>\r\n)<\/span>\r\n\r\n\/\/ \u30b0\u30e9\u30d5\u306e\u63cf\u753b<\/span>\r\nlets_plot<\/span>(<\/span>data<\/span>)<\/span> +<\/span> \r\n    geom_bar<\/span>(<\/span>stat<\/span> =<\/span> Stat<\/span>.<\/span>identity<\/span>)<\/span> {<\/span>\r\n        x<\/span> =<\/span> \"name\"<\/span>\r\n        y<\/span> =<\/span> \"count\"<\/span>\r\n    }<\/span>\r\n<\/code><\/pre>\n
\"plots2.png\"<\/div>\n
\u6700\u5f8c\u306b<\/h2>\n
Kotlin\u3067Jupyter Notebook\u3092\u89e6\u3063\u3066\u307f\u307e\u3057\u305f\u3002Kotlin\u306fAndroid\u3084\u30b5\u30fc\u30d0\u30b5\u30a4\u30c9\u3067\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u4e8b\u4f8b\u306f\u5897\u3048\u3066\u3044\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u4e8b\u4f8b\u304c\u3068\u3066\u3082\u5c11\u306a\u304b\u3063\u305f\u306e\u3067\u8208\u5473\u6df1\u304b\u3063\u305f\u3067\u3059\u3002\u3059\u3067\u306b\u591a\u304f\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u958b\u767a\u3055\u308c\u3066\u304a\u308a\u3001\u4f55\u304b\u3057\u3089\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u306b\u8ca2\u732e\u3067\u304d\u308c\u3070\u3068\u8003\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n
PR<\/h2>\n
\"Connehito<\/div>\n","protected":false},"excerpt":{"rendered":"
\u672c\u8a18\u4e8b\u306f\u30b3\u30cd\u30d2\u30c8 Advent Calendar 2019 24\u65e5\u76ee\u306e\u8a18\u4e8b\u306b\u306a\u308a\u307e\u3059\u3002 \u306f\u3058\u3081\u306b Jupyte […]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46538","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n- Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/46538-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u672c\u8a18\u4e8b\u306f\u30b3\u30cd\u30d2\u30c8 Advent Calendar 2019 24\u65e5\u76ee\u306e\u8a18\u4e8b\u306b\u306a\u308a\u307e\u3059\u3002 \u306f\u3058\u3081\u306b Jupyte […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46538-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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