remove 'in Numpy' in headers and add append, arange, empty and meshgr…

…id to docs
jesusmcantero · Nov 7, 2016 · 3d2992a · 3d2992a
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diff --git a/_layouts/user-guide.html b/_layouts/user-guide.html
@@ -93,7 +93,7 @@
 							{% if page.language != "r" %}
 							{% unless page.ignore_header %}
 							<h1>
-								{{page.name}} in {% if page.language == "plotly_js" %}plotly.js{% elsif page.language == "ggplot2" %}ggplot2{% elsif page.language == "matlab" %}MATLAB{% elsif page.language == "matplotlib" %}matplotlib{% else %}{{page.language | capitalize}}{% endif %}
+								{% if page.language == "numpy" %} {% else %}{{page.name}} in {% if page.language == "plotly_js" %}plotly.js{% elsif page.language == "ggplot2" %}ggplot2{% elsif page.language == "matlab" %}MATLAB{% elsif page.language == "matplotlib" %}matplotlib{% else %}{{page.language | capitalize}}{% endif %}{% endif %}
 							</h1>
 							<p>{{page.description}} </p>
 

diff --git a/_posts/numpy/append/2015-06-30-Append.html b/_posts/numpy/append/2015-06-30-Append.html
@@ -0,0 +1,133 @@
+---
+permalink: numpy/append/
+description: How to append values to a NumPy array.
+name: Append | plotly
+has_thumbnail: true
+thumbnail: thumbnail/numpy_array.jpg
+layout: user-guide
+name: Append
+language: numpy
+title: Append | plotly
+display_as: modify-the-array
+has_thumbnail: true
+page_type: example_index
+order: 1
+---
+{% raw %}
+<div class="cell border-box-sizing text_cell rendered">
+<div class="prompt input_prompt">
+</div>
+<div class="inner_cell">
+<div class="text_cell_render border-box-sizing rendered_html">
+<h4 id="New-to-Plotly?">New to Plotly?<a class="anchor-link" href="#New-to-Plotly?">&#182;</a></h4><p>Plotly's Python library is free and open source! <a href="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <a href="https://plot.ly/python/getting-started/">reading the primer</a>.
+<br>You can set up Plotly to work in <a href="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <a href="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <a href="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
+<br>We also have a quick-reference <a href="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf">cheatsheet</a> (new!) to help you get started!</p>
+
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing text_cell rendered">
+<div class="prompt input_prompt">
+</div>
+<div class="inner_cell">
+<div class="text_cell_render border-box-sizing rendered_html">
+<h3 id="Imports">Imports<a class="anchor-link" href="#Imports">&#182;</a></h3><p>This tutorial imports <a href="http://www.numpy.org/">Numpy</a>.</p>
+
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[1]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
+<span class="n">np</span><span class="o">.</span><span class="n">__version__</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area"><div class="prompt output_prompt">Out[1]:</div>
+
+
+<div class="output_text output_subarea output_execute_result">
+<pre>&#39;1.11.2&#39;</pre>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>
+<div class="cell border-box-sizing text_cell rendered">
+<div class="prompt input_prompt">
+</div>
+<div class="inner_cell">
+<div class="text_cell_render border-box-sizing rendered_html">
+<h4 id="Append-Data">Append Data<a class="anchor-link" href="#Append-Data">&#182;</a></h4><p>Very similar in application to the core Python list method <code>.append()</code>, the <code>np.append()</code> function takes an <code>array</code> and some <code>values</code> in the form of an array and extends the length of the given array and adds the given item at the end.</p>
+
+</div>
+</div>
+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[2]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="kn">as</span> <span class="nn">py</span>
+<span class="kn">import</span> <span class="nn">plotly.graph_objs</span> <span class="kn">as</span> <span class="nn">go</span>
+<span class="kn">from</span> <span class="nn">plotly</span> <span class="kn">import</span> <span class="n">tools</span>
+<span class="kn">from</span> <span class="nn">plotly.tools</span> <span class="kn">import</span> <span class="n">FigureFactory</span> <span class="k">as</span> <span class="n">FF</span>
+
+<span class="n">array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">])</span>
+<span class="n">longer_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">])</span>
+
+<span class="n">trace1</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span>
+    <span class="n">x</span><span class="o">=</span><span class="n">array</span><span class="p">,</span>
+    <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">array</span><span class="p">],</span>
+    <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;markers&#39;</span><span class="p">,</span>
+    <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
+        <span class="n">size</span><span class="o">=</span><span class="p">[</span><span class="mi">5</span> <span class="o">+</span> <span class="mi">3</span><span class="o">*</span><span class="n">j</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">array</span><span class="p">]</span>
+    <span class="p">),</span>
+    <span class="n">name</span><span class="o">=</span><span class="s1">&#39;array&#39;</span>
+<span class="p">)</span>
+<span class="n">trace2</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span>
+    <span class="n">x</span><span class="o">=</span><span class="n">longer_array</span><span class="p">,</span>
+    <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="mi">2</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">longer_array</span><span class="p">],</span>
+    <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;markers&#39;</span><span class="p">,</span>
+    <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
+        <span class="n">size</span><span class="o">=</span><span class="p">[</span><span class="mi">5</span> <span class="o">+</span> <span class="mi">3</span><span class="o">*</span><span class="n">j</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">longer_array</span><span class="p">]</span>
+    <span class="p">),</span>
+    <span class="n">name</span><span class="o">=</span><span class="s1">&#39;longer_array&#39;</span>
+<span class="p">)</span>
+
+<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">([</span><span class="n">trace1</span><span class="p">,</span> <span class="n">trace2</span><span class="p">],</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;numpy-array&#39;</span><span class="p">)</span>
+</pre></div>
+
+</div>
+</div>
+</div>
+
+<div class="output_wrapper">
+<div class="output">
+
+
+<div class="output_area"><div class="prompt output_prompt">Out[2]:</div>
+
+<div class="output_html rendered_html output_subarea output_execute_result">
+<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~AdamKulidjian/1688.embed" height="525px" width="100%"></iframe>
+</div>
+
+</div>
+
+</div>
+</div>
+
+</div>{% endraw %}
diff --git a/_posts/numpy/append/Append.ipynb b/_posts/numpy/append/Append.ipynb
@@ -0,0 +1,216 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### New to Plotly?\n",
+    "Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).\n",
+    "<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).\n",
+    "<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Imports\n",
+    "This tutorial imports [Numpy](http://www.numpy.org/)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'1.11.2'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "np.__version__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Append Data\n",
+    "\n",
+    "Very similar in application to the core Python list method `.append()`, the `np.append()` function takes an `array` and some `values` in the form of an array and extends the length of the given array and adds the given item at the end."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/1688.embed\" height=\"525px\" width=\"100%\"></iframe>"
+      ],
+      "text/plain": [
+       "<plotly.tools.PlotlyDisplay object>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import plotly.plotly as py\n",
+    "import plotly.graph_objs as go\n",
+    "from plotly import tools\n",
+    "from plotly.tools import FigureFactory as FF\n",
+    "\n",
+    "array = np.array([1, 2, 3, 4, 5])\n",
+    "longer_array = np.append(array, [6, 7, 8])\n",
+    "\n",
+    "trace1 = go.Scatter(\n",
+    "    x=array,\n",
+    "    y=[1 for i in array],\n",
+    "    mode='markers',\n",
+    "    marker=dict(\n",
+    "        size=[5 + 3*j for j in array]\n",
+    "    ),\n",
+    "    name='array'\n",
+    ")\n",
+    "trace2 = go.Scatter(\n",
+    "    x=longer_array,\n",
+    "    y=[2 for j in longer_array],\n",
+    "    mode='markers',\n",
+    "    marker=dict(\n",
+    "        size=[5 + 3*j for j in longer_array]\n",
+    "    ),\n",
+    "    name='longer_array'\n",
+    ")\n",
+    "\n",
+    "py.iplot([trace1, trace2], filename='numpy-array')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting git+https://github.com/plotly/publisher.git\n",
+      "  Cloning https://github.com/plotly/publisher.git to /var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-uPqS8w-build\n",
+      "Installing collected packages: publisher\n",
+      "  Found existing installation: publisher 0.10\n",
+      "    Uninstalling publisher-0.10:\n",
+      "      Successfully uninstalled publisher-0.10\n",
+      "  Running setup.py install for publisher ... \u001b[?25l-\b \b\\\b \bdone\n",
+      "\u001b[?25hSuccessfully installed publisher-0.10\n",
+      "\u001b[33mYou are using pip version 8.1.2, however version 9.0.1 is available.\n",
+      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning:\n",
+      "\n",
+      "The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n",
+      "\n",
+      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning:\n",
+      "\n",
+      "Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from IPython.display import display, HTML\n",
+    "\n",
+    "display(HTML('<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />'))\n",
+    "display(HTML('<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
+    "\n",
+    "! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
+    "import publisher\n",
+    "publisher.publish(\n",
+    "    'Append.ipynb', 'numpy/append/', 'Append | plotly',\n",
+    "    'How to append values to a NumPy array.',\n",
+    "    title = 'Append | plotly',\n",
+    "    name = 'Append',\n",
+    "    has_thumbnail='true', thumbnail='thumbnail/numpy_array.jpg', \n",
+    "    language='numpy', page_type='example_index',\n",
+    "    display_as='modify-the-array', order=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}