Pandas read_fwf ignores columns
<p>I have a .asc file where each line has 655 entries and looks somewhat like the following (note the leading whitespace)</p>

<pre><code> -999 -999 -999 -999 -999 -999 -999 -999 -999 ... -999 -999
</code></pre>

<p>When I read the file using pandas read_fwf </p>

<pre><code>data = pd.read_fwf('Users/.../file.asc', index_col=False, sep=' ', skiprows=6, header=None, na_values=[-999])
</code></pre>

<p>the first three columns are thrown into the 0 column such that I obtain the output </p>

<pre><code>                   0    1    2    3    4    5    6    7    8    9   ...   641  \
0  -999 -999 -999 -999  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN ...   NaN 
</code></pre>

<p>It seems like the function interprets my first 4 columns as an index. <code>index_col=False</code> didn't help fixing the problem. Also, I tried to let pandas create an index column but couldn't find this feature.</p>

<p>Looking forward to your solution. Thanks.</p>