Pandas: sep in read_csv doesn't work
<p>I try to <code>read_csv</code> </p>

<pre><code>e29bea24f74b7fb26cb9c14ef8c3b10b,ozon.ru/context/detail/id/33849562,2016-03-27 01:08:43,16,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
e29bea24f74b7fb26cb9c14ef8c3b10b,ozon.ru/context/detail/id/24744347,2016-03-27 01:08:59,44,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
e29bea24f74b7fb26cb9c14ef8c3b10b,ozon.ru/context/detail/id/135168438,2016-03-27 01:11:39,6,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
e29bea24f74b7fb26cb9c14ef8c3b10b,ozon.ru/context/detail/id/33290689,2016-03-27 01:12:37,8,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
e29bea24f74b7fb26cb9c14ef8c3b10b,ozon.ru/context/detail/id/31642544,2016-03-27 01:13:07,14,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
1cf378e0ba824651d9d80b076514bfe7,citilink.ru,2016-03-27 01:54:22,12,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
1cf378e0ba824651d9d80b076514bfe7,citilink.ru/catalog/computers_and_notebooks/net_equipment/netcards/90520,2016-03-27 01:55:26,20,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
1cf378e0ba824651d9d80b076514bfe7,citilink.ru/catalog/computers_and_notebooks/net_equipment/netcards/896835,2016-03-27 01:55:58,10,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
1cf378e0ba824651d9d80b076514bfe7,citilink.ru/catalog/computers_and_notebooks/net_equipment/netcards/896840,2016-03-27 01:57:48,52,,Ð Â Ð¡âºÐ Â Ð â¦Ð Â ÐÂ»Ð Â ÐÂ°Ð Â Ð²ââÐ Â Ð â¦-Ð Â Ð¡Ð Â ÐÂ°Ð Â Ð¡âÐ Â ÐÂ°Ð Â ÐÂ·Ð Â Ð¡âÐ Â Ð â¦
</code></pre>

<p>I use</p>

<pre><code>names = ['ID', 'url', 'date', 'duration', 'request', 'category']
df = pd.read_csv('pv-lena11.csv', sep=",", header=None, names=names)
</code></pre>

<p>but it doesn't separate that.</p>

<p>It works on my laptop.</p>

<p>What's your pandas version? Is your file encoded as UTF-8? Can you try if this work?</p>

<pre><code>df = pd.read_csv(
    'pv-lena11.csv', sep=',', header=None, names=names, 
    quoting=0, encoding='utf8')
</code></pre>

python pandas