SQLite, Pandas

README.md

@@ -1918,7 +1918,7 @@ with <conn>:                                   # Exits the block with commit() o
 <conn>.execute('<query>', <dict/namedtuple>)   # Replaces ':<key>'s with values.
 <conn>.executemany('<query>', <coll_of_coll>)  # Runs execute() multiple times.
 ```
-* **Passed values can be of type str, int, float, bytes, None, or bool (stored as 0 or 1).**
+* **Passed values can be of type str, int, float, bytes, None, or bool (stored as 1 or 0).**
 
 ### Example
 **Values are not actually saved in this example because `'conn.commit()'` is omitted!**
@@ -3182,7 +3182,7 @@ Name: a, dtype: int64
 ```
 
 ```python
-<S>  = <S> > <el/S>                            # Returns a Series of bools.
+<S>  = <S> > <el/S>                            # Returns S of bools. Pairs items by keys.
 <S>  = <S> + <el/S>                            # Items with non-matching keys get value NaN.
 ```
 

index.html

@@ -1587,7 +1587,7 @@ CompletedProcess(args=[<span class="hljs-string">'bc'</span>, <span class="hljs-
 </code></pre></div>
 
 <ul>
-<li><strong>Passed values can be of type str, int, float, bytes, None, or bool (stored as 0 or 1).</strong></li>
+<li><strong>Passed values can be of type str, int, float, bytes, None, or bool (stored as 1 or 0).</strong></li>
 </ul>
 <div><h3 id="example-1">Example</h3><p><strong>Values are not actually saved in this example because <code class="python hljs"><span class="hljs-string">'conn.commit()'</span></code> is omitted!</strong></p><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>conn = sqlite3.connect(<span class="hljs-string">'test.db'</span>)
 <span class="hljs-meta">&gt;&gt;&gt; </span>conn.execute(<span class="hljs-string">'CREATE TABLE person (person_id INTEGER PRIMARY KEY, name, height)'</span>)
@@ -2592,7 +2592,7 @@ Name: a, dtype: int64
 &lt;S&gt;  = &lt;S&gt;[coll_of_keys/coll_of_i]             <span class="hljs-comment"># Or: &lt;S&gt;[key/i : key/i]</span>
 &lt;S&gt;  = &lt;S&gt;[bools]                              <span class="hljs-comment"># Or: &lt;S&gt;.loc/iloc[bools]</span>
 </code></pre>
-<pre><code class="python language-python hljs">&lt;S&gt;  = &lt;S&gt; &gt; &lt;el/S&gt;                            <span class="hljs-comment"># Returns a Series of bools.</span>
+<pre><code class="python language-python hljs">&lt;S&gt;  = &lt;S&gt; &gt; &lt;el/S&gt;                            <span class="hljs-comment"># Returns S of bools. Pairs items by keys.</span>
 &lt;S&gt;  = &lt;S&gt; + &lt;el/S&gt;                            <span class="hljs-comment"># Items with non-matching keys get value NaN.</span>
 </code></pre>
 <pre><code class="python language-python hljs">&lt;S&gt; = pd.concat(&lt;coll_of_S&gt;)                   <span class="hljs-comment"># Concats multiple series into one long Series.</span>