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Fix wrong Python lib path in tutorial note
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@ -40,7 +40,7 @@
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"msg": [
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"type": "HTML",
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"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 examples 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"
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"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/interpreter/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 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"
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}
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]
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},
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