擅长:python、mysql、java
<p>在多维数组中不可能使用建议的<a href="https://numpy.org/doc/stable/reference/generated/numpy.genfromtxt.html" rel="nofollow noreferrer">^{<cd1>}</a><a href="https://stackoverflow.com/questions/16223483/forced-conversion-of-non-numeric-numpy-arrays-with-nan-replacement">here</a>。另一方面,您可以使用<a href="https://numpy.org/doc/stable/reference/generated/numpy.apply_along_axis.html" rel="nofollow noreferrer">^{<cd3>}</a>将<code>genfromtext</code>应用于2D数组的每一行,如<a href="https://stackoverflow.com/questions/45604688/apply-function-on-each-row-row-wise-of-a-numpy-array">here</a>所述:</p>
<pre class="lang-py prettyprint-override"><code>import numpy as np
x = np.array([[1, 2, 'tom'], [4, 'Manu', 6]])
print(np.apply_along_axis(np.genfromtxt, 1 ,x))
</code></pre>
<p>这将提供:</p>
<pre><code>[[ 1. 2. nan]
[ 4. nan 6.]]
</code></pre>