擅长:python、mysql、java
<p>尝试:</p>
<p>您可以找到有关dropna<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html" rel="nofollow noreferrer">here</a>的更多信息</p>
<pre><code>This drops NaN rows.
dataset = dataset.dropna(how=any)
# And you can filter and drop unwanted data as below
dataset = dataset.loc[abs(dataset['x0']) > 30]
dataset = dataset.loc[abs(dataset['y0']) > 30]
</code></pre>