Having trouble removing headers when using pd.read_csv
<p>I have a .csv that contains contains column headers and is displayed below. I need to suppress the column labeling when I ingest the file as a data frame.</p>

<pre><code>date,color,id,zip,weight,height,locale
11/25/2013,Blue,122468,1417464,3546600,254,7
</code></pre>

<p>When I issue the following command:</p>

<pre><code> df = pd.read_csv('c:/temp1/test_csv.csv', usecols=[4,5], names = ["zip","weight"], header = 0, nrows=10)
</code></pre>

<p>I get:</p>

<pre><code>zip               weight
0   1417464       3546600
</code></pre>

<p>I have tried various manipulations of header=True and header=0. If I don't use header=0, then the columns will all print out on top of the rows like so:</p>

<pre><code>    zip           weight
    height        locale
0   1417464       3546600
</code></pre>

<p>I have tried skiprows= 0 and 1 but neither removes the headers. However, the command works by skipping the line specified.</p>

<p>I could really use some additional insight or a solve. Thanks in advance for any assistance you could provide.</p>

<p>Tiberius</p>