擅长:python、mysql、java
<pre><code>df = pd.read_csv(filename, delim_whitespace=True)
In [22]: df[df.select_dtypes(['number']).gt(0).sum(axis=1).ge(3)]
Out[22]:
Gene_name A B C D E F
0 Gene1 1 0 5 2 0 0
1 Gene2 4 45 0 0 32 1
2 Gene3 0 23 0 4 0 54
3 Gene4 12 0 6 8 7 4
4 Gene5 4 0 0 6 0 7
5 Gene6 0 6 8 0 0 5
6 Gene7 13 45 64 234 0 6
7 Gene8 11 6 0 7 7 9
8 Gene9 6 0 12 34 0 11
9 Gene10 23 4 6 7 89 0
</code></pre>
<p>一些解释:</p>
^{pr2}$