Display values that does not end with ".0" Python Pandas
<p>I have a float column that contains <code>NaN</code> values and float values. How do i filter out those values that does not end with <code>.0</code>?</p>

<p>For example:</p>

<pre><code>Col1
0.7
1.0
1.1
9.0
9.5
NaN
</code></pre>

<p>Desire result will be:</p>

<pre><code>Col1
0.7
1.1 
9.2
</code></pre>

<p>use <code>//</code> division</p>

<pre><code>df[df.Col1 // 1 != df.Col1].dropna()
</code></pre>

<p><a href="http://i.stack.imgur.com/ZhlRy.png" rel="nofollow"><img src="http://i.stack.imgur.com/ZhlRy.png" alt="enter image description here"></a></p>

python pandas indexing condition