擅长:python、mysql、java
<p>只需像访问字典一样访问数据帧:</p>
<pre><code>import numpy as np # for np.NaN (or use NaN = float('nan'))
df = pd.DataFrame({ ... }) # your dataframe possibly from a CSV
df['nextResult'] = [np.NaN, 0, 1, np.NaN, 0]
</code></pre>
<p>有关熊猫的介绍,请参见<a href="https://pandas.pydata.org/pandas-docs/stable/10min.html" rel="nofollow noreferrer">https://pandas.pydata.org/pandas-docs/stable/10min.html</a></p>