Pandas

Author: gto76

README.md

@@ -3164,8 +3164,8 @@ Name: a, dtype: int64
 ```
 
 ```python
-<S>  = pd.Series(<list>)                       # Assigns RangeIndex starting at 0.
-<S>  = pd.Series(<dict>)                       # Takes dictionary's keys for index.
+<S>  = pd.Series(<list>)                       # Creates index from list's indices.
+<S>  = pd.Series(<dict>)                       # Creates index from dictionary's keys.
 <S>  = pd.Series(<dict/Series>, index=<list>)  # Only keeps items with keys specified in index.
 ```
 
@@ -3193,7 +3193,7 @@ Name: a, dtype: int64
 ```
 
 ```python
-<S>.plot.line/area/bar/pie/hist()              # Generates a Matplotlib plot.
+<S>.plot.line/area/bar/pie/hist()              # Generates a plot. Accepts `title=<str>`.
 plt.show()                                     # Displays the plot. Also plt.savefig(<path>).
 ```
 * **Indexing objects can't be tuples because `'obj[x, y]'` is converted to `'obj[(x, y)]'`!**
@@ -3269,7 +3269,7 @@ b  3  4
 
 ```python
 <DF>   = <DF>.head/tail/sample(<int>)          # Returns first, last, or random n rows.
-<DF>   = <DF>.describe()                       # Describes columns. Also shape, info(), corr().
+<DF>   = <DF>.describe()                       # Describes columns. Also info(), corr(), shape.
 <DF>   = <DF>.query('<query>')                 # Filters rows with e.g. 'col_1 == val_1 and …'.
 ```
 

index.html

@@ -2580,8 +2580,8 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 </code></pre></div>
 
 
-<pre><code class="python language-python hljs">&lt;S&gt;  = pd.Series(&lt;list&gt;)                       <span class="hljs-comment"># Assigns RangeIndex starting at 0.</span>
-&lt;S&gt;  = pd.Series(&lt;dict&gt;)                       <span class="hljs-comment"># Takes dictionary's keys for index.</span>
+<pre><code class="python language-python hljs">&lt;S&gt;  = pd.Series(&lt;list&gt;)                       <span class="hljs-comment"># Creates index from list's indices.</span>
+&lt;S&gt;  = pd.Series(&lt;dict&gt;)                       <span class="hljs-comment"># Creates index from dictionary's keys.</span>
 &lt;S&gt;  = pd.Series(&lt;dict/Series&gt;, index=&lt;list&gt;)  <span class="hljs-comment"># Only keeps items with keys specified in index.</span>
 </code></pre>
 <pre><code class="python language-python hljs">&lt;el&gt; = &lt;S&gt;.loc[key]                            <span class="hljs-comment"># Or: &lt;S&gt;.iloc[i]</span>
@@ -2599,7 +2599,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 &lt;S&gt; = &lt;S&gt;.combine_first(&lt;S&gt;)                   <span class="hljs-comment"># Adds items that are not yet present.</span>
 &lt;S&gt;.update(&lt;S&gt;)                                <span class="hljs-comment"># Updates items that are already present.</span>
 </code></pre>
-<pre><code class="python language-python hljs">&lt;S&gt;.plot.line/area/bar/pie/hist()              <span class="hljs-comment"># Generates a Matplotlib plot.</span>
+<pre><code class="python language-python hljs">&lt;S&gt;.plot.line/area/bar/pie/hist()              <span class="hljs-comment"># Generates a plot. Accepts `title=&lt;str&gt;`.</span>
 plt.show()                                     <span class="hljs-comment"># Displays the plot. Also plt.savefig(&lt;path&gt;).</span>
 </code></pre>
 <ul>
@@ -2659,7 +2659,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 &lt;DF&gt;   = &lt;DF&gt;.sort_values(col_key/s)           <span class="hljs-comment"># Sorts rows by passed column/s. Also `axis=1`.</span>
 </code></pre>
 <pre><code class="python language-python hljs">&lt;DF&gt;   = &lt;DF&gt;.head/tail/sample(&lt;int&gt;)          <span class="hljs-comment"># Returns first, last, or random n rows.</span>
-&lt;DF&gt;   = &lt;DF&gt;.describe()                       <span class="hljs-comment"># Describes columns. Also shape, info(), corr().</span>
+&lt;DF&gt;   = &lt;DF&gt;.describe()                       <span class="hljs-comment"># Describes columns. Also info(), corr(), shape.</span>
 &lt;DF&gt;   = &lt;DF&gt;.query(<span class="hljs-string">'&lt;query&gt;'</span>)                 <span class="hljs-comment"># Filters rows with e.g. 'col_1 == val_1 and …'.</span>
 </code></pre>
 <pre><code class="python language-python hljs">&lt;DF&gt;.plot.line/area/bar/scatter(x=col_key, …)  <span class="hljs-comment"># `y=col_key/s`. Also hist/box(by=col_key).</span>