擅长:python、mysql、java
<p><a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html" rel="nofollow">^{<cd1>}</a>有许多参数,学习正确的咒语来读取任何给定的文件可能需要一段时间。在</p>
<p>下面是如何使用你的文件。<code>genfromtxt</code>返回的数组<code>data</code>是一个一维的<a href="http://docs.scipy.org/doc/numpy/user/basics.rec.html" rel="nofollow">structured array</a>,有两个字段,分别称为<code>count</code>和{<cd5>}:</p>
<pre><code>In [11]: data = np.genfromtxt("counts_strings.csv", delimiter=',', names=['count', 'string'], dtype=None)
In [12]: data['count']
Out[12]:
array([159028, 86832, 74720, 71701, 69360, 52458, 51406, 50305,
38745, 32565])
In [13]: data['string']
Out[13]:
array([b'CASSVDGSYEQYFGPG', b'CASSLQLYFGEG', b'CASSQDQDTQYFGPG',
b'CASSRVGSDYTFGSG', b'CARNVTPPKSYAVFFGKG', b'CAAEQFFGPG',
b'CASSSGDQDTQYFGPG', b'CASQLYFGEG', b'CAYFGPG', b'CASSPDWGENTLYFGAG'],
dtype='|S18')
In [14]: data[0]
Out[14]: (159028, b'CASSVDGSYEQYFGPG')
</code></pre>