Pandas

gto76 · gto76 · commit 6d85e2b3c1f3 · 2024-12-06T20:51:50.000+01:00
diff --git a/README.md b/README.md
@@ -3164,8 +3164,8 @@ Name: a, dtype: int64
 ```
 
 ```python
-<S>  = pd.Series(<list>)                       # Creates index from list's indices.
-<S>  = pd.Series(<dict>)                       # Creates index from dictionary's keys.
+<S>  = pd.Series(<list>)                       # Uses list's indices for 'index'.
+<S>  = pd.Series(<dict>)                       # Uses dictionary's keys for 'index'.
 ```
 
 ```python
@@ -3365,7 +3365,7 @@ c  6  7
 <DF>.to_pickle/excel(<path>)                   # Run `$ pip3 install "pandas[excel]" odfpy`.
 <DF>.to_sql('<table_name>', <connection>)      # Also `if_exists='fail/replace/append'`.
 ```
-* **Read\_csv() only parses dates of columns that were specified by 'parse\_dates' argument. It automatically tries to detect the format, but it can be helped with 'date\_format' or 'datefirst' arguments. Both dates and datetimes get stored as pd.Timestamp objects.**
+* **Read\_csv() only parses dates of columns that were specified by 'parse\_dates' argument. It automatically tries to detect the format, but it can be helped with 'date\_format' or 'datefirst' arguments. Both dates and datetimes get stored as pd.Timestamp objects.**
 * **If there's a single invalid date then it returns the whole column as a series of strings, unlike `'<S> = pd.to_datetime(<S>, errors="coerce")'`, which uses pd.NaT.**
 * **To get specific attributes from a series of Timestamps use `'<S>.dt.year/date/…'`.**
 
diff --git a/index.html b/index.html
@@ -55,7 +55,7 @@
 
 <body>
   <header>
-    <aside>December 5, 2024</aside>
+    <aside>December 6, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </header>
 
@@ -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"># 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>
+<pre><code class="python language-python hljs">&lt;S&gt;  = pd.Series(&lt;list&gt;)                       <span class="hljs-comment"># Uses list's indices for 'index'.</span>
+&lt;S&gt;  = pd.Series(&lt;dict&gt;)                       <span class="hljs-comment"># Uses dictionary's keys for '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>
 &lt;S&gt;  = &lt;S&gt;.loc[coll_of_keys]                   <span class="hljs-comment"># Or: &lt;S&gt;.iloc[coll_of_i]</span>
@@ -2741,7 +2741,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
 &lt;DF&gt;.to_sql(<span class="hljs-string">'&lt;table_name&gt;'</span>, &lt;connection&gt;)      <span class="hljs-comment"># Also `if_exists='fail/replace/append'`.</span>
 </code></pre>
 <ul>
-<li><strong>Read_csv() only parses dates of columns that were specified by 'parse_dates' argument. It automatically tries to detect the format, but it can be helped with 'date_format' or 'datefirst' arguments. Both dates and datetimes get stored as pd.Timestamp objects.</strong></li>
+<li><strong>Read_csv() only parses dates of columns that were specified by 'parse_dates' argument. It&nbsp;automatically tries to detect the format, but it can be helped with 'date_format' or 'datefirst' arguments. Both dates and datetimes get stored as pd.Timestamp objects.</strong></li>
 <li><strong>If there's a single invalid date then it returns the whole column as a series of strings, unlike <code class="python hljs"><span class="hljs-string">'&lt;S&gt; = pd.to_datetime(&lt;S&gt;, errors="coerce")'</span></code>, which uses pd.NaT.</strong></li>
 <li><strong>To get specific attributes from a series of Timestamps use <code class="python hljs"><span class="hljs-string">'&lt;S&gt;.dt.year/date/…'</span></code>.</strong></li>
 </ul>
@@ -2924,7 +2924,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
  
 
   <footer>
-    <aside>December 5, 2024</aside>
+    <aside>December 6, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </footer>
 
