Skip to content

Commit 8303553

Browse files
committed
Editing docstring directly
1 parent 3c4b1e5 commit 8303553

File tree

2 files changed

+6
-4
lines changed

2 files changed

+6
-4
lines changed

doc/build/html/reference/api/pandas.DataFrame.dropna.html

Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -313,8 +313,6 @@ <h1>pandas.DataFrame.dropna<a class="headerlink" href="#pandas-dataframe-dropna"
313313
</dd>
314314
</dl>
315315
</div>
316-
<p class="rubric">Notes</p>
317-
<dd><p>Setting dropna to true will elimate rows containing any missing data from the pivot_table.</p>
318316
<p class="rubric">Examples</p>
319317
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;Alfred&#39;</span><span class="p">,</span> <span class="s1">&#39;Batman&#39;</span><span class="p">,</span> <span class="s1">&#39;Catwoman&#39;</span><span class="p">],</span>
320318
<span class="gp">... </span> <span class="s2">&quot;toy&quot;</span><span class="p">:</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="s1">&#39;Batmobile&#39;</span><span class="p">,</span> <span class="s1">&#39;Bullwhip&#39;</span><span class="p">],</span>

pandas/core/frame.py

Lines changed: 6 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6455,7 +6455,7 @@ def dropna(
64556455
subset : column label or sequence of labels, optional
64566456
Labels along other axis to consider, e.g. if you are dropping rows
64576457
these would be a list of columns to include.
6458-
inplace : bool, default False
6458+
inplace : bool, default False
64596459
Whether to modify the DataFrame rather than creating a new one.
64606460
64616461
Returns
@@ -6470,7 +6470,11 @@ def dropna(
64706470
DataFrame.fillna : Replace missing values.
64716471
Series.dropna : Drop missing values.
64726472
Index.dropna : Drop missing indices.
6473-
6473+
6474+
Notes
6475+
--------
6476+
Setting dropna to true will elimate rows containing any missing data from the pivot_table.
6477+
64746478
Examples
64756479
--------
64766480
>>> df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],

0 commit comments

Comments
 (0)