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	<title>nbconvert - MasaruのIT＆マーケティングBLOG | Info Tech &amp; Marketing BLOG by Masaru</title>
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		<title>Jupyter NotebookのセルをWordPressに貼り付ける</title>
		<link>/2021/04/10/jupyter-notebook%e3%81%ae%e3%82%bb%e3%83%ab%e3%82%92wordpress%e3%81%ab%e8%b2%bc%e3%82%8a%e4%bb%98%e3%81%91%e3%82%8b/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=jupyter-notebook%25e3%2581%25ae%25e3%2582%25bb%25e3%2583%25ab%25e3%2582%2592wordpress%25e3%2581%25ab%25e8%25b2%25bc%25e3%2582%258a%25e4%25bb%2598%25e3%2581%2591%25e3%2582%258b</link>
					<comments>/2021/04/10/jupyter-notebook%e3%81%ae%e3%82%bb%e3%83%ab%e3%82%92wordpress%e3%81%ab%e8%b2%bc%e3%82%8a%e4%bb%98%e3%81%91%e3%82%8b/#respond</comments>
		
		<dc:creator><![CDATA[masaru]]></dc:creator>
		<pubDate>Fri, 09 Apr 2021 15:21:30 +0000</pubDate>
				<category><![CDATA[IT]]></category>
		<category><![CDATA[Webデザイン]]></category>
		<category><![CDATA[データ分析]]></category>
		<category><![CDATA[Jupyter Notebook]]></category>
		<category><![CDATA[nbconvert]]></category>
		<category><![CDATA[WordPress]]></category>
		<guid isPermaLink="false">/?p=318</guid>

					<description><![CDATA[<p>手作業でJupyter NotebookをWordPressに転記するのはツライ…… 　ということでコピペする方法を探してみたところ、nbconvertを使う方法が良さそうです。 　生成されたHTMLから該当セルをWeb&#8230; <a class="more-link" href="/2021/04/10/jupyter-notebook%e3%81%ae%e3%82%bb%e3%83%ab%e3%82%92wordpress%e3%81%ab%e8%b2%bc%e3%82%8a%e4%bb%98%e3%81%91%e3%82%8b/">続きを読む <span class="screen-reader-text">Jupyter NotebookのセルをWordPressに貼り付ける</span></a></p>
<p>The post <a href="/2021/04/10/jupyter-notebook%e3%81%ae%e3%82%bb%e3%83%ab%e3%82%92wordpress%e3%81%ab%e8%b2%bc%e3%82%8a%e4%bb%98%e3%81%91%e3%82%8b/">Jupyter NotebookのセルをWordPressに貼り付ける</a> first appeared on <a href="/">MasaruのIT＆マーケティングBLOG  |  Info Tech & Marketing BLOG by Masaru</a>.</p>]]></description>
										<content:encoded><![CDATA[<h2>手作業でJupyter NotebookをWordPressに転記するのはツライ……</h2>



<p>　ということでコピペする方法を探してみたところ、<a href="https://datacoach.me/data/tips/jupyter-wordpress/" target="_blank" rel="noreferrer noopener">nbconvertを使う方法</a>が良さそうです。</p>



<div class="hcb_wrap"><pre class="prism line-numbers lang-bash" data-lang="Bash"><code>$ jupyter nbconvert --to html --template basic gstore-cust-revenue-prediction.ipynb</code></pre></div>



<p>　生成されたHTMLから該当セルをWebブラウザーのインスペクター(F12キーを押下)でコピーし、WordPressのカスタムHTMLブロックに貼り込みます。</p>



<div class="hcb_wrap"><pre class="prism line-numbers lang-html" data-lang="HTML"><code>&lt;div class=&quot;input&quot;&gt;
&lt;div class=&quot;prompt input_prompt&quot;&gt;In [7]:&lt;/div&gt;
&lt;div class=&quot;inner_cell&quot;&gt;
    &lt;div class=&quot;input_area&quot;&gt;
&lt;div class=&quot; highlight hl-ipython3&quot;&gt;&lt;pre&gt;&lt;span&gt;&lt;/span&gt;&lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;numpy&lt;/span&gt; &lt;span class=&quot;k&quot;&gt;as&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;np&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;pandas&lt;/span&gt; &lt;span class=&quot;k&quot;&gt;as&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;pd&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;os&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;matplotlib.pyplot&lt;/span&gt; &lt;span class=&quot;k&quot;&gt;as&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;plt&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;seaborn&lt;/span&gt; &lt;span class=&quot;k&quot;&gt;as&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;sns&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;json&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;re&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;gc&lt;/span&gt;                              &lt;span class=&quot;c1&quot;&gt;#garbage collector&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;sklearn.preprocessing&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;LabelEncoder&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;ast&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;literal_eval&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;sklearn.model_selection&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;KFold&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;sklearn.metrics&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;mean_squared_error&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;sklearn.model_selection&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;GridSearchCV&lt;/span&gt; &lt;span class=&quot;c1&quot;&gt;#Experimented hyperparams a bit with this&lt;/span&gt;

&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;catboost&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;CatBoostRegressor&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;from&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;xgboost&lt;/span&gt; &lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;XGBRegressor&lt;/span&gt;
&lt;span class=&quot;kn&quot;&gt;import&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;lightgbm&lt;/span&gt; &lt;span class=&quot;k&quot;&gt;as&lt;/span&gt; &lt;span class=&quot;nn&quot;&gt;lgb&lt;/span&gt;

&lt;span class=&quot;k&quot;&gt;for&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;dirname&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;_&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;filenames&lt;/span&gt; &lt;span class=&quot;ow&quot;&gt;in&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;os&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;walk&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;/home/masaru/data/kaggle_google_analytics&#39;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;):&lt;/span&gt;
    &lt;span class=&quot;k&quot;&gt;for&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;filename&lt;/span&gt; &lt;span class=&quot;ow&quot;&gt;in&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;filenames&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;:&lt;/span&gt;
        &lt;span class=&quot;nb&quot;&gt;print&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;os&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;path&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;join&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;dirname&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;n&quot;&gt;filename&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;))&lt;/span&gt;
        &lt;span class=&quot;k&quot;&gt;pass&lt;/span&gt;
&lt;span class=&quot;n&quot;&gt;gc&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;enable&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;()&lt;/span&gt;
&lt;span class=&quot;n&quot;&gt;sns&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;set&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;style&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;whitegrid&#39;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;palette&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;deep&#39;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;font_scale&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;mf&quot;&gt;1.1&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;rc&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;=&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;{&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;figure.figsize&#39;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;:[&lt;/span&gt;&lt;span class=&quot;mi&quot;&gt;8&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt;&lt;span class=&quot;mi&quot;&gt;6&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;]})&lt;/span&gt;
&lt;span class=&quot;n&quot;&gt;pd&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;set_option&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;(&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;float_format&#39;&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;,&lt;/span&gt; &lt;span class=&quot;s1&quot;&gt;&#39;&lt;/span&gt;&lt;span class=&quot;si&quot;&gt;{:f}&lt;/span&gt;&lt;span class=&quot;s1&quot;&gt;&#39;&lt;/span&gt;&lt;span class=&quot;o&quot;&gt;.&lt;/span&gt;&lt;span class=&quot;n&quot;&gt;format&lt;/span&gt;&lt;span class=&quot;p&quot;&gt;)&lt;/span&gt;     &lt;span class=&quot;c1&quot;&gt;#to display full numbers in dataframe and not just exponentiated form &lt;/span&gt;
&lt;/pre&gt;&lt;/div&gt;

    &lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;

&lt;div class=&quot;output_wrapper&quot;&gt;
&lt;div class=&quot;output&quot;&gt;


&lt;div class=&quot;output_area&quot;&gt;

    &lt;div class=&quot;prompt&quot;&gt;&lt;/div&gt;


&lt;div class=&quot;output_subarea output_stream output_stdout output_text&quot;&gt;
&lt;pre&gt;/home/masaru/data/kaggle_google_analytics/test_v2.csv
/home/masaru/data/kaggle_google_analytics/submission.csv
/home/masaru/data/kaggle_google_analytics/deep-learning-keras-ga-revenue-prediction.ipynb
/home/masaru/data/kaggle_google_analytics/gstore-cust-revenue-prediction.ipynb
/home/masaru/data/kaggle_google_analytics/ga-customer-revenue-prediction.zip
/home/masaru/data/kaggle_google_analytics/test.csv
/home/masaru/data/kaggle_google_analytics/sample_submission_v2.csv
/home/masaru/data/kaggle_google_analytics/GoogleAnalytics_Customer_Revenue_EDA_and_Prediction.ipynb
/home/masaru/data/kaggle_google_analytics/sample_submission.csv
/home/masaru/data/kaggle_google_analytics/train_v2.csv
/home/masaru/data/kaggle_google_analytics/train.csv
/home/masaru/data/kaggle_google_analytics/.ipynb_checkpoints/gstore-cust-revenue-prediction-checkpoint.ipynb
/home/masaru/data/kaggle_google_analytics/.ipynb_checkpoints/GoogleAnalytics_Customer_Revenue_EDA_and_Prediction-checkpoint.ipynb
&lt;/pre&gt;
&lt;/div&gt;
&lt;/div&gt;

&lt;/div&gt;
&lt;/div&gt;</code></pre></div>



<div style="height:100px" aria-hidden="true" class="wp-block-spacer"></div>



<h2>WordPressのテーマにNotebook用のCSSを追加する</h2>



<p>　続いて、WordPressの『外観⇒カスタマイズ⇒追加CSS』で<a href="https://estuarine.jp/2017/09/jupyter-wordpress/" target="_blank" rel="noreferrer noopener">Jupyter Notebookセル用のCSS</a>を追加します(リンク先ページのソースを参照のこと)。</p>



<div class="input">
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span><span class="o">,</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span><span class="o">,</span> <span class="nn">os</span><span class="o">,</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span><span class="o">,</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">json</span><span class="o">,</span> <span class="nn">re</span><span class="o">,</span> <span class="nn">gc</span>                              <span class="c1">#garbage collector</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">LabelEncoder</span>
<span class="kn">from</span> <span class="nn">ast</span> <span class="kn">import</span> <span class="n">literal_eval</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">KFold</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">mean_squared_error</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">GridSearchCV</span> <span class="c1">#Experimented hyperparams a bit with this</span>

<span class="kn">from</span> <span class="nn">catboost</span> <span class="kn">import</span> <span class="n">CatBoostRegressor</span>
<span class="kn">from</span> <span class="nn">xgboost</span> <span class="kn">import</span> <span class="n">XGBRegressor</span>
<span class="kn">import</span> <span class="nn">lightgbm</span> <span class="k">as</span> <span class="nn">lgb</span>

<span class="k">for</span> <span class="n">dirname</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">filenames</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">walk</span><span class="p">(</span><span class="s1">'/home/masaru/data/kaggle_google_analytics'</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">filename</span> <span class="ow">in</span> <span class="n">filenames</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirname</span><span class="p">,</span> <span class="n">filename</span><span class="p">))</span>
        <span class="k">pass</span>
<span class="n">gc</span><span class="o">.</span><span class="n">enable</span><span class="p">()</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="s1">'whitegrid'</span><span class="p">,</span><span class="n">palette</span><span class="o">=</span><span class="s1">'deep'</span><span class="p">,</span><span class="n">font_scale</span><span class="o">=</span><span class="mf">1.1</span><span class="p">,</span><span class="n">rc</span><span class="o">=</span><span class="p">{</span><span class="s1">'figure.figsize'</span><span class="p">:[</span><span class="mi">8</span><span class="p">,</span><span class="mi">6</span><span class="p">]})</span>
<span class="n">pd</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">'float_format'</span><span class="p">,</span> <span class="s1">'</span><span class="si">{:f}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">)</span>     <span class="c1">#to display full numbers in dataframe and not just exponentiated form </span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt"></div>


<div class="output_subarea output_stream output_stdout output_text">
<pre>/home/masaru/data/kaggle_google_analytics/test_v2.csv
/home/masaru/data/kaggle_google_analytics/submission.csv
/home/masaru/data/kaggle_google_analytics/deep-learning-keras-ga-revenue-prediction.ipynb
/home/masaru/data/kaggle_google_analytics/gstore-cust-revenue-prediction.ipynb
/home/masaru/data/kaggle_google_analytics/ga-customer-revenue-prediction.zip
/home/masaru/data/kaggle_google_analytics/test.csv
/home/masaru/data/kaggle_google_analytics/sample_submission_v2.csv
/home/masaru/data/kaggle_google_analytics/GoogleAnalytics_Customer_Revenue_EDA_and_Prediction.ipynb
/home/masaru/data/kaggle_google_analytics/sample_submission.csv
/home/masaru/data/kaggle_google_analytics/train_v2.csv
/home/masaru/data/kaggle_google_analytics/train.csv
/home/masaru/data/kaggle_google_analytics/.ipynb_checkpoints/gstore-cust-revenue-prediction-checkpoint.ipynb
/home/masaru/data/kaggle_google_analytics/.ipynb_checkpoints/GoogleAnalytics_Customer_Revenue_EDA_and_Prediction-checkpoint.ipynb
</pre>
</div>
</div>

</div>
</div>



<p>　無事、表示出来ました。</p>
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