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python-cheatsheet
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List, Pandas

pull/74/merge
Jure Šorn 2 years ago
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  1. 13
      README.md
  2. 13
      index.html

13
README.md
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@ -58,7 +58,7 @@ list_of_chars = list(<str>)
```python
<list>.insert(<int>, <el>) # Inserts item at index and moves the rest to the right.
<el> = <list>.pop([<int>]) # Returns and removes item at index or from the end.
<el> = <list>.pop([<int>]) # Removes and returns item at index or from the end.
<int> = <list>.count(<el>) # Returns number of occurrences. Also works on strings.
<int> = <list>.index(<el>) # Returns index of the first occurrence or raises ValueError.
<list>.remove(<el>) # Removes first occurrence of the item or raises ValueError.
@ -3141,6 +3141,11 @@ Name: a, dtype: int64
<Sr>.update(<Sr>) # Updates items that are already present.
```
```python
<Sr>.plot.line/area/bar/pie/hist() # Generates a Matplotlib plot.
matplotlib.pyplot.show() # Displays the plot. Also savefig(<path>).
```
#### Series — Aggregate, Transform, Map:
```python
<el> = <Sr>.sum/max/mean/idxmax/all() # Or: <Sr>.agg(lambda <Sr>: <el>)
@ -3172,12 +3177,6 @@ y 2
```
* **Last result has a hierarchical index. Use `'<Sr>[key_1, key_2]'` to get its values.**
#### Series — Plot:
```python
import matplotlib.pyplot as plt
<Sr>.plot.line/area/bar/pie/hist(); plt.show()
```
### DataFrame
**Table with labeled rows and columns.**

13
index.html
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@ -54,7 +54,7 @@
<body>
<header>
<aside>March 12, 2022</aside>
<aside>April 12, 2022</aside>
<a href="https://gto76.github.io" rel="author">Jure Šorn</a>
</header>
@ -124,7 +124,7 @@ list_of_chars = list(&lt;str&gt;)
<li><strong>Module <a href="#operator">operator</a> provides functions itemgetter() and mul() that offer the same functionality as <a href="#lambda">lambda</a> expressions above.</strong></li>
</ul>
<pre><code class="python language-python hljs">&lt;list&gt;.insert(&lt;int&gt;, &lt;el&gt;) <span class="hljs-comment"># Inserts item at index and moves the rest to the right.</span>
&lt;el&gt; = &lt;list&gt;.pop([&lt;int&gt;]) <span class="hljs-comment"># Returns and removes item at index or from the end.</span>
&lt;el&gt; = &lt;list&gt;.pop([&lt;int&gt;]) <span class="hljs-comment"># Removes and returns item at index or from the end.</span>
&lt;int&gt; = &lt;list&gt;.count(&lt;el&gt;) <span class="hljs-comment"># Returns number of occurrences. Also works on strings.</span>
&lt;int&gt; = &lt;list&gt;.index(&lt;el&gt;) <span class="hljs-comment"># Returns index of the first occurrence or raises ValueError.</span>
&lt;list&gt;.remove(&lt;el&gt;) <span class="hljs-comment"># Removes first occurrence of the item or raises ValueError.</span>
@ -2550,6 +2550,9 @@ Name: a, dtype: int64
&lt;Sr&gt; = &lt;Sr&gt;.combine_first(&lt;Sr&gt;) <span class="hljs-comment"># Adds items that are not yet present.</span>
&lt;Sr&gt;.update(&lt;Sr&gt;) <span class="hljs-comment"># Updates items that are already present.</span>
</code></pre>
<pre><code class="python language-python hljs">&lt;Sr&gt;.plot.line/area/bar/pie/hist() <span class="hljs-comment"># Generates a Matplotlib plot.</span>
matplotlib.pyplot.show() <span class="hljs-comment"># Displays the plot. Also savefig(&lt;path&gt;).</span>
</code></pre>
<div><h4 id="seriesaggregatetransformmap">Series — Aggregate, Transform, Map:</h4><pre><code class="python language-python hljs">&lt;el&gt; = &lt;Sr&gt;.sum/max/mean/idxmax/all() <span class="hljs-comment"># Or: &lt;Sr&gt;.agg(lambda &lt;Sr&gt;: &lt;el&gt;)</span>
&lt;Sr&gt; = &lt;Sr&gt;.rank/diff/cumsum/ffill/interpl() <span class="hljs-comment"># Or: &lt;Sr&gt;.agg/transform(lambda &lt;Sr&gt;: &lt;Sr&gt;)</span>
&lt;Sr&gt; = &lt;Sr&gt;.fillna(&lt;el&gt;) <span class="hljs-comment"># Or: &lt;Sr&gt;.agg/transform/map(lambda &lt;el&gt;: &lt;el&gt;)</span>
@ -2577,10 +2580,6 @@ y <span class="hljs-number">2</span>
<ul>
<li><strong>Last result has a hierarchical index. Use <code class="python hljs"><span class="hljs-string">'&lt;Sr&gt;[key_1, key_2]'</span></code> to get its values.</strong></li>
</ul>
<div><h4 id="seriesplot">Series — Plot:</h4><pre><code class="python language-python hljs"><span class="hljs-keyword">import</span> matplotlib.pyplot <span class="hljs-keyword">as</span> plt
&lt;Sr&gt;.plot.line/area/bar/pie/hist(); plt.show()
</code></pre></div>
<div><h3 id="dataframe">DataFrame</h3><p><strong>Table with labeled rows and columns.</strong></p><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>DataFrame([[<span class="hljs-number">1</span>, <span class="hljs-number">2</span>], [<span class="hljs-number">3</span>, <span class="hljs-number">4</span>]], index=[<span class="hljs-string">'a'</span>, <span class="hljs-string">'b'</span>], columns=[<span class="hljs-string">'x'</span>, <span class="hljs-string">'y'</span>])
x y
a <span class="hljs-number">1</span> <span class="hljs-number">2</span>
@ -2885,7 +2884,7 @@ $ pyinstaller script.py --add-data '&lt;path&gt;:.' <span class="hljs-comment">
<footer>
<aside>March 12, 2022</aside>
<aside>April 12, 2022</aside>
<a href="https://gto76.github.io" rel="author">Jure Šorn</a>
</footer>

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