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ubuntuversion html2ipynb

Convert an HTML notebook to ipynb

Just change url= '', rest will be the same
In [10]:
from bs4 import BeautifulSoup
import json
import urllib.request

url = 'https://bahargk.github.io/array.html'
response = urllib.request.urlopen(url)

#  for local html file : remove url and change response equals directory of html file
# response = open("/home/bahar/Pandas/array.html")

text = response.read()

soup = BeautifulSoup(text, 'lxml')
# see some of the html
print(soup.div)
dictionary = {'nbformat': 4, 'nbformat_minor': 1, 'cells': [], 'metadata': {}}
for d in soup.findAll("div"):
    if 'class' in d.attrs.keys():
        for clas in d.attrs["class"]:
            if clas in ["text_cell_render", "input_area"]:
                # code cell
                if clas == "input_area":
                    cell = {}
                    cell['metadata'] = {}
                    cell['outputs'] = []
                    cell['source'] = [d.get_text()]
                    cell['execution_count'] = None
                    cell['cell_type'] = 'code'
                    dictionary['cells'].append(cell)

                else:
                    cell = {}
                    cell['metadata'] = {}

                    cell['source'] = [d.decode_contents()]
                    cell['cell_type'] = 'markdown'
                    dictionary['cells'].append(cell)
open('notebook.ipynb', 'w').write(json.dumps(dictionary))

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<h1 id="array()-function-:-Creating-N-dimensional-array-(ndarray-object)">array() function : Creating N-dimensional array (ndarray object)<a class="anchor-link" href="#array()-function-:-Creating-N-dimensional-array-(ndarray-object)">¶</a></h1>
<pre><code>by using array() functione, you can create array object in NumPy known as ndarray object

</code></pre>
<h2 id="--ndim()-:">- ndim() :<a class="anchor-link" href="#--ndim()-:">¶</a></h2>
<pre><code>Returning the number of dimensions of an array

</code></pre>
<h2 id="--shape()-:">- shape() :<a class="anchor-link" href="#--shape()-:">¶</a></h2>
<pre><code>size of each dimension

</code></pre>
<h2 id="--size()-:">- size() :<a class="anchor-link" href="#--size()-:">¶</a></h2>
<pre><code>number of all elements

</code></pre>
<h2 id="--len()-:">- len() :<a class="anchor-link" href="#--len()-:">¶</a></h2>
<pre><code>returns the size of the first dimension</code></pre>
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<h1 id="Let's-Start-creating-N-dimensional-array-with-array()-function-:">Let's Start creating N-dimensional array with array() function :<a class="anchor-link" href="#Let's-Start-creating-N-dimensional-array-with-array()-function-:">¶</a></h1>
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<h2 id="Example-:-One-Element">Example : One Element<a class="anchor-link" href="#Example-:-One-Element">¶</a></h2>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Just one element</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="c1"># Creating an array with one element</span>
<span class="n">arr1</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">42</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">"Show array :"</span> <span class="p">,</span> <span class="n">arr1</span><span class="p">)</span>
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<pre>Show array : 42
</pre>
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<h2 id="Example-:-1-dimensional-array">Example : 1-dimensional array<a class="anchor-link" href="#Example-:-1-dimensional-array">¶</a></h2>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># One arraye</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="c1"># Creating 1-dimensional array </span>
<span class="n">arr2</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">4</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="mi">400</span><span class="p">,</span> <span class="mi">4000</span><span class="p">,</span> <span class="mi">40000</span><span class="p">])</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">"Array :"</span><span class="p">,</span> <span class="n">arr2</span><span class="p">)</span>
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<pre>Array : [    4    40   400  4000 40000]
</pre>
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<h2 id="Example-:-2-dimensional-array">Example : 2-dimensional array<a class="anchor-link" href="#Example-:-2-dimensional-array">¶</a></h2>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># 2 arrays</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="c1"># Creating 2-dimensional array </span>
<span class="n">arr3</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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="mi">400</span><span class="p">],</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">500</span><span class="p">,</span> <span class="mi">5000</span><span class="p">]</span> <span class="p">])</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">"Array :"</span><span class="p">,</span> <span class="n">arr3</span><span class="p">)</span>
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<pre>Array : [[   4   40  400]
 [   5  500 5000]]
</pre>
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<h2 id="Example-:-3-dimensional-array">Example : 3-dimensional array<a class="anchor-link" href="#Example-:-3-dimensional-array">¶</a></h2>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># 3 arrays</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="n">arr4</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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="mi">400</span><span class="p">],</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">500</span><span class="p">],</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">60</span><span class="p">,</span> <span class="mi">600</span><span class="p">]</span> <span class="p">])</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">"Array :"</span><span class="p">,</span> <span class="n">arr4</span><span class="p">)</span>
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<pre>Array : [[  4  40 400]
 [  5  50 500]
 [  6  60 600]]
</pre>
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<h2 id="Example-:-Checking-the-number-of-dimensions-of-an-array-with-ndim()">Example : Checking the number of dimensions of an array with ndim()<a class="anchor-link" href="#Example-:-Checking-the-number-of-dimensions-of-an-array-with-ndim()">¶</a></h2>
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<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="n">arr5</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="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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</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="mi">9</span><span class="p">]</span> <span class="p">])</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">"Arrays :"</span><span class="p">,</span> <span class="n">arr5</span><span class="p">)</span>

<span class="c1"># ndim() function : Returning the number of dimensions of an array</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"the number of dimensions of this array is:"</span><span class="p">,</span> <span class="n">arr5</span><span class="o">.</span><span class="n">ndim</span><span class="p">)</span>
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<pre>Arrays : [[1 2 3]
 [4 5 6]
 [7 8 9]]
the number of dimensions of this array is: 2
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<h2 id="Example-:-Checking-the-size-of-each-dimension-with-shape()">Example : Checking the size of each dimension with shape()<a class="anchor-link" href="#Example-:-Checking-the-size-of-each-dimension-with-shape()">¶</a></h2>
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<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="n">arr5</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="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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</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="mi">9</span><span class="p">]</span> <span class="p">])</span>

<span class="c1"># shape() : size of each dimension</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"the size of dimension 0 is:"</span><span class="p">,</span> <span class="n">arr5</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
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<pre>the size of dimension 0 is: 3
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<h2 id="Example-:-Checking-the-number-of-all-elements-with-size()">Example : Checking the number of all elements with size()<a class="anchor-link" href="#Example-:-Checking-the-number-of-all-elements-with-size()">¶</a></h2>
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<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="n">arr5</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="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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</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="mi">9</span><span class="p">]</span> <span class="p">])</span>

<span class="c1"># size() : number of all elements</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Number of all elements"</span><span class="p">,</span> <span class="n">arr5</span><span class="o">.</span><span class="n">size</span><span class="p">)</span>
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<pre>Number of all elements 9
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<h2 id="Example-:--Checking-the-size-of-the-first-dimensionlen()">Example :  Checking the size of the first dimensionlen()<a class="anchor-link" href="#Example-:--Checking-the-size-of-the-first-dimensionlen()">¶</a></h2>
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<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="n">arr5</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="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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</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="mi">9</span><span class="p">]</span> <span class="p">])</span>

<span class="c1"># len() : returns the size of the first dimension</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"The size of the first dimension is"</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr5</span><span class="p">))</span>
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<pre>The size of the first dimension is 3
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Out[10]:
5591

Source: https://stackoverflow.com/questions/28972614/ipython-notebook-convert-an-html-notebook-to-ipynb