Input, Pandas

gto76 · gto76 · commit 72673286e5e8 · 2024-12-25T14:22:04.000+01:00
diff --git a/README.md b/README.md
@@ -1531,7 +1531,7 @@ pprint(<collection>, width=80, depth=None, compact=False, sort_dicts=True)
 Input
 -----
 ```python
-<str> = input([<obj>])
+<str> = input()
 ```
 * **Reads a line from the user input or pipe if present (trailing newline gets stripped).**
 * **If argument is passed, it gets printed to the standard output before input is read.**
@@ -3193,9 +3193,9 @@ Name: a, dtype: int64
 ```python
 <S>.plot.line/area/bar/pie/hist()              # Generates a plot. `plt.show()` displays it.
 ```
-* **Indexing objects can't be tuples because `'obj[x, y]'` is converted to `'obj[(x, y)]'`!**
+* **Indexing objects can't be tuples because `'obj[x, y]'` is converted to `'obj[(x, y)]'`.**
 * **Pandas uses NumPy types like `'np.int64'`. Series is converted to `'float64'` if we assign np.nan to any item. Use `'<S>.astype(<str/type>)'` to get converted Series.**
-* **Series will silently overflow if we run `'pd.Series([100], dtype="int8") + 100'`.**
+* **Series will silently overflow if we run `'pd.Series([100], dtype="int8") + 100'`!**
 
 #### Series — Aggregate, Transform, Map:
 ```python
@@ -3407,7 +3407,7 @@ z
 
 ```python
 <RS/RDF/RGB> = <S/DF/GB>.rolling(win_size)     # Also: `min_periods=None, center=False`.
-<RS/RDF/RGB> = <RDF/RGB>[col_key/s]            # Or: <RDF/RGB>.col_key
+<RS/RDF/RGB> = <RDF/RGB>[col_key/s]            # Or: <RDF/RGB>.<col_key>
 <S/DF>       = <R>.mean/sum/max()              # Or: <R>.apply/agg(<agg_func/str>)
 ```
 
diff --git a/index.html b/index.html
@@ -55,7 +55,7 @@
 
 <body>
   <header>
-    <aside>December 24, 2024</aside>
+    <aside>December 25, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </header>
 
@@ -1294,7 +1294,7 @@
 <li><strong>Each item is printed on its own line if collection exceeds 'width' characters.</strong></li>
 <li><strong>Nested collections that are 'depth' levels deep get printed as '…'.</strong></li>
 </ul>
-<div><h2 id="input"><a href="#input" name="input">#</a>Input</h2><pre><code class="python language-python hljs">&lt;str&gt; = input([&lt;obj&gt;])
+<div><h2 id="input"><a href="#input" name="input">#</a>Input</h2><pre><code class="python language-python hljs">&lt;str&gt; = input()
 </code></pre></div>
 
 <ul>
@@ -2601,9 +2601,9 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 <pre><code class="python language-python hljs">&lt;S&gt;.plot.line/area/bar/pie/hist()              <span class="hljs-comment"># Generates a plot. `plt.show()` displays it.</span>
 </code></pre>
 <ul>
-<li><strong>Indexing objects can't be tuples because <code class="python hljs"><span class="hljs-string">'obj[x, y]'</span></code> is converted to <code class="python hljs"><span class="hljs-string">'obj[(x, y)]'</span></code>!</strong></li>
+<li><strong>Indexing objects can't be tuples because <code class="python hljs"><span class="hljs-string">'obj[x, y]'</span></code> is converted to <code class="python hljs"><span class="hljs-string">'obj[(x, y)]'</span></code>.</strong></li>
 <li><strong>Pandas uses NumPy types like <code class="python hljs"><span class="hljs-string">'np.int64'</span></code>. Series is converted to <code class="python hljs"><span class="hljs-string">'float64'</span></code> if we assign np.nan to any item. Use <code class="python hljs"><span class="hljs-string">'&lt;S&gt;.astype(&lt;str/type&gt;)'</span></code> to get converted Series.</strong></li>
-<li><strong>Series will silently overflow if we run <code class="python hljs"><span class="hljs-string">'pd.Series([100], dtype="int8") + 100'</span></code>.</strong></li>
+<li><strong>Series will silently overflow if we run <code class="python hljs"><span class="hljs-string">'pd.Series([100], dtype="int8") + 100'</span></code>!</strong></li>
 </ul>
 <div><h4 id="seriesaggregatetransformmap">Series — Aggregate, Transform, Map:</h4><pre><code class="python language-python hljs">&lt;el&gt; = &lt;S&gt;.sum/max/mean/idxmax/all()           <span class="hljs-comment"># Or: &lt;S&gt;.agg(lambda &lt;S&gt;: &lt;el&gt;)</span>
 &lt;S&gt;  = &lt;S&gt;.rank/diff/cumsum/ffill/interpol…()  <span class="hljs-comment"># Or: &lt;S&gt;.agg/transform(lambda &lt;S&gt;: &lt;S&gt;)</span>
@@ -2772,7 +2772,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 <span class="hljs-number">6</span>  <span class="hljs-number">11</span>  <span class="hljs-number">13</span></code></pre></div>
 
 <div><h3 id="rolling">Rolling</h3><p><strong>Object for rolling window calculations.</strong></p><pre><code class="python language-python hljs">&lt;RS/RDF/RGB&gt; = &lt;S/DF/GB&gt;.rolling(win_size)     <span class="hljs-comment"># Also: `min_periods=None, center=False`.</span>
-&lt;RS/RDF/RGB&gt; = &lt;RDF/RGB&gt;[col_key/s]            <span class="hljs-comment"># Or: &lt;RDF/RGB&gt;.col_key</span>
+&lt;RS/RDF/RGB&gt; = &lt;RDF/RGB&gt;[col_key/s]            <span class="hljs-comment"># Or: &lt;RDF/RGB&gt;.&lt;col_key&gt;</span>
 &lt;S/DF&gt;       = &lt;R&gt;.mean/sum/max()              <span class="hljs-comment"># Or: &lt;R&gt;.apply/agg(&lt;agg_func/str&gt;)</span>
 </code></pre></div>
 
@@ -2934,7 +2934,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
  
 
   <footer>
-    <aside>December 24, 2024</aside>
+    <aside>December 25, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </footer>
 
