<h4 dir="auto">Code Sample, a copy-pastable example if possible</h4>
<p dir="auto">des_table = df_final_S1415.describe(percentiles=[.05, .25, .5, .75, .95 ]).T</p>
<h4 dir="auto">Expected Output</h4>
<p dir="auto">In version 18.0 describe function will return percentiles when columns contain nan.</p>
<h4 dir="auto">output of <code class="notranslate">pd.show_versions()</code></h4>
<p dir="auto">But in version 18.1 describe function will not  return percentiles when columns contain nan.</p>
<h4 dir="auto">Code Sample, a copy-pastable example if possible</h4>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import pandas as pd
import numpy
s = pd.Series([1, 2, 3, 4, numpy.nan])
s.quantile(0.5)
nan"><pre class="notranslate"><span class="pl-k">import</span> <span class="pl-s1">pandas</span> <span class="pl-k">as</span> <span class="pl-s1">pd</span>
<span class="pl-k">import</span> <span class="pl-s1">numpy</span>
<span class="pl-s1">s</span> <span class="pl-c1">=</span> <span class="pl-s1">pd</span>.<span class="pl-v">Series</span>([<span class="pl-c1">1</span>, <span class="pl-c1">2</span>, <span class="pl-c1">3</span>, <span class="pl-c1">4</span>, <span class="pl-s1">numpy</span>.<span class="pl-s1">nan</span>])
<span class="pl-s1">s</span>.<span class="pl-en">quantile</span>(<span class="pl-c1">0.5</span>)
<span class="pl-s1">nan</span></pre></div>
<h4 dir="auto">Expected Output</h4>
<p dir="auto">I would expect 2.5 as output (as with version 0.17.1).</p>
<h4 dir="auto">output of <code class="notranslate">pd.show_versions()</code></h4>
<p dir="auto">commit: None<br>
python: 2.7.6.final.0<br>
python-bits: 64<br>
OS: Linux<br>
OS-release: 3.13.0-85-generic<br>
machine: x86_64<br>
processor: x86_64<br>
byteorder: little<br>
LC_ALL: None<br>
LANG: de_DE.UTF-8</p>
<p dir="auto">pandas: 0.18.1<br>
nose: None<br>
pip: 1.5.4<br>
setuptools: 2.2<br>
Cython: None<br>
numpy: 1.11.0<br>
scipy: 0.16.1<br>
statsmodels: None<br>
xarray: None<br>
IPython: None<br>
sphinx: None<br>
patsy: None<br>
dateutil: 2.5.3<br>
pytz: 2016.4<br>
blosc: None<br>
bottleneck: None<br>
tables: None<br>
numexpr: None<br>
matplotlib: 1.5.1<br>
openpyxl: 2.3.2<br>
xlrd: 0.9.4<br>
xlwt: None<br>
xlsxwriter: None<br>
lxml: None<br>
bs4: None<br>
html5lib: None<br>
httplib2: None<br>
apiclient: None<br>
sqlalchemy: None<br>
pymysql: None<br>
psycopg2: None<br>
jinja2: None<br>
boto: None<br>
pandas_datareader: None</p>