Repository: zeppelin Updated Branches: refs/heads/master 125a42ca1 -> 6808bdc69
http://git-wip-us.apache.org/repos/asf/zeppelin/blob/6808bdc6/notebook/2C2AUG798/note.json ---------------------------------------------------------------------- diff --git a/notebook/2C2AUG798/note.json b/notebook/2C2AUG798/note.json index ad1c98a..7e0a1b7 100644 --- a/notebook/2C2AUG798/note.json +++ b/notebook/2C2AUG798/note.json @@ -2,22 +2,31 @@ "paragraphs": [ { "text": "%md\n## Introduction\nIn this tutorial we will go through some of the basic features of Zeppelin\u0027s built-in matplotlib integration. \n\n### Prerequisites\n`matplotlib` must be installed to your local python installation. (use `pip install matplotlib` or `conda install matplotlib` if you have `conda`). Additionally, you will need Zeppelin\u0027s matplotlib backend files which are usually found in `$ZEPPELIN_HOME/lib/python`. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your `PYTHONPATH` just in case. \n\n### Interpreters\nMost of the examples shown in this tutorial can be used interchangeably with either the `python` or `pyspark` interpreters. Iterative plotting using the Angular Display System is currently only available for `pyspark`, but this functionality will eventually be added to the base `python` interpreter. \n\n### macOS\nMake sure locale is set, to avoid `ValueError: unknown locale: UTF-8`\n\n### virtu alenv\nIn case you want to use virtualenv or conda env:\n - configure python interpreter property -\u003e `absolute/path/to/venv/bin/python`\n - see *Working with Matplotlib in Virtual environments* in the [Matplotlib FAQ](http://matplotlib.org/faq/virtualenv_faq.html)\n \n### A simple example\nLet\u0027s start by making a very simple line plot:", - "dateUpdated": "Nov 2, 2016 2:53:47 PM", + "user": "anonymous", + "dateUpdated": "Dec 17, 2016 3:33:25 PM", "config": { "tableHide": false, "colWidth": 12.0, - "editorMode": "ace/mode/markdown", + "editorMode": "ace/mode/text", "editorHide": true, - "graph": { - "mode": "table", - "height": 300.0, - "optionOpen": false, - "keys": [], - "values": [], - "groups": [], - "scatter": {} - }, - "enabled": true + "enabled": true, + "results": [ + { + "graph": { + "mode": "table", + "height": 300.0, + "optionOpen": false, + "keys": [], + "values": [], + "groups": [], + "scatter": {} + } + } + ], + "editorSetting": { + "language": "text", + "editOnDblClick": false + } }, "settings": { "params": {}, @@ -26,14 +35,19 @@ "apps": [], "jobName": "paragraph_1478123627954_-1473548609", "id": "20160614-174657_1772993700", - "result": { + "results": { "code": "SUCCESS", - "type": "HTML", - "msg": "\u003ch2\u003eIntroduction\u003c/h2\u003e\n\u003cp\u003eIn this tutorial we will go through some of the basic features of Zeppelin\u0027s built-in matplotlib integration.\u003c/p\u003e\n\u003ch3\u003ePrerequisites\u003c/h3\u003e\n\u003cp\u003e\u003ccode\u003ematplotlib\u003c/code\u003e must be installed to your local python installation. (use \u003ccode\u003epip install matplotlib\u003c/code\u003e or \u003ccode\u003econda install matplotlib\u003c/code\u003e if you have \u003ccode\u003econda\u003c/code\u003e). Additionally, you will need Zeppelin\u0027s matplotlib backend files which are usually found in \u003ccode\u003e$ZEPPELIN_HOME/lib/python\u003c/code\u003e. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your \u003ccode\u003ePYTHONPATH\u003c/code\u003e just in case.\u003c/p\u003e\n\u003ch3\u003eInterpreters\u003c/h3\u003e\n\u003cp\u003eMost of the examples shown in this tutorial can be used interchangeably with ei ther the \u003ccode\u003epython\u003c/code\u003e or \u003ccode\u003epyspark\u003c/code\u003e interpreters. Iterative plotting using the Angular Display System is currently only available for \u003ccode\u003epyspark\u003c/code\u003e, but this functionality will eventually be added to the base \u003ccode\u003epython\u003c/code\u003e interpreter.\u003c/p\u003e\n\u003ch3\u003emacOS\u003c/h3\u003e\n\u003cp\u003eMake sure locale is set, to avoid \u003ccode\u003eValueError: unknown locale: UTF-8\u003c/code\u003e\u003c/p\u003e\n\u003ch3\u003evirtualenv\u003c/h3\u003e\n\u003cp\u003eIn case you want to use virtualenv or conda env:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003econfigure python interpreter property -\u003e \u003ccode\u003eabsolute/path/to/venv/bin/python\u003c/code\u003e\u003c/li\u003e\n\u003cli\u003esee \u003cem\u003eWorking with Matplotlib in Virtual environments\u003c/em\u003e in the \u003ca href\u003d\"http://matplotlib.org/faq/virtualenv_faq.html\"\u003eMatplotlib FAQ\u003c /a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3\u003eA simple example\u003c/h3\u003e\n\u003cp\u003eLet\u0027s start by making a very simple line plot:\u003c/p\u003e\n" + "msg": [ + { + "type": "HTML", + "data": "\u003cdiv class\u003d\"markdown-body\"\u003e\n\u003ch2\u003eIntroduction\u003c/h2\u003e\n\u003cp\u003eIn this tutorial we will go through some of the basic features of Zeppelin\u0026rsquo;s built-in matplotlib integration. \u003c/p\u003e\n\u003ch3\u003ePrerequisites\u003c/h3\u003e\n\u003cp\u003e\u003ccode\u003ematplotlib\u003c/code\u003e must be installed to your local python installation. (use \u003ccode\u003epip install matplotlib\u003c/code\u003e or \u003ccode\u003econda install matplotlib\u003c/code\u003e if you have \u003ccode\u003econda\u003c/code\u003e). Additionally, you will need Zeppelin\u0026rsquo;s matplotlib backend files which are usually found in \u003ccode\u003e$ZEPPELIN_HOME/lib/python\u003c/code\u003e. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your \u003ccode\u003ePYTHONPATH\u003c/code\u003e just in case. \u003c/p\u003e\n\u003ch3\u003eInterpreters\u003c/h3\u003e\n\u003cp\u003eMost of the ex amples shown in this tutorial can be used interchangeably with either the \u003ccode\u003epython\u003c/code\u003e or \u003ccode\u003epyspark\u003c/code\u003e interpreters. Iterative plotting using the Angular Display System is currently only available for \u003ccode\u003epyspark\u003c/code\u003e, but this functionality will eventually be added to the base \u003ccode\u003epython\u003c/code\u003e interpreter. \u003c/p\u003e\n\u003ch3\u003emacOS\u003c/h3\u003e\n\u003cp\u003eMake sure locale is set, to avoid \u003ccode\u003eValueError: unknown locale: UTF-8\u003c/code\u003e\u003c/p\u003e\n\u003ch3\u003evirtualenv\u003c/h3\u003e\n\u003cp\u003eIn case you want to use virtualenv or conda env:\u003cbr/\u003e - configure python interpreter property -\u0026gt; \u003ccode\u003eabsolute/path/to/venv/bin/python\u003c/code\u003e\u003cbr/\u003e - see \u003cem\u003eWorking with Matplotlib in Virtual environments\u003c/em\u003e in the \u003ca href\u003d\"http://matplotlib.org/faq/virtualenv_faq.html \"\u003eMatplotlib FAQ\u003c/a\u003e\u003c/p\u003e\n\u003ch3\u003eA simple example\u003c/h3\u003e\n\u003cp\u003eLet\u0026rsquo;s start by making a very simple line plot:\u003c/p\u003e\n\u003c/div\u003e" + } + ] }, "dateCreated": "Nov 2, 2016 2:53:47 PM", - "status": "READY", - "errorMessage": "", + "dateStarted": "Dec 17, 2016 3:33:25 PM", + "dateFinished": "Dec 17, 2016 3:33:25 PM", + "status": "FINISHED", "progressUpdateIntervalMs": 500 }, { @@ -42,16 +56,20 @@ "config": { "colWidth": 12.0, "editorMode": "ace/mode/python", - "graph": { - "mode": "table", - "height": 300.0, - "optionOpen": false, - "keys": [], - "values": [], - "groups": [], - "scatter": {} - }, - "enabled": true + "enabled": true, + "results": [ + { + "graph": { + "mode": "table", + "height": 300.0, + "optionOpen": false, + "keys": [], + "values": [], + "groups": [], + "scatter": {} + } + } + ] }, "settings": { "params": {}, @@ -60,10 +78,14 @@ "apps": [], "jobName": "paragraph_1478123627958_-1475087605", "id": "20161101-192232_289486976", - "result": { + "results": { "code": "SUCCESS", - "type": "HTML", - "msg": "\u003cdiv 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