擅长:python、mysql、java
<p><a href="https://pandas.pydata.org" rel="nofollow noreferrer">Pandas</a>数据结构为1D(<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html" rel="nofollow noreferrer">^{<cd1>}</a>)、2D(<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html" rel="nofollow noreferrer">^{<cd2>}</a>)和3D(<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Panel.html" rel="nofollow noreferrer">^{<cd3>}</a>)数据实现此功能:</p>
<pre><code>import numpy as np
import pandas as pd
s = pd.Series(data=['One', 'Two', 'Three'], index=[1, 2, 3])
a = np.array([1, 2, 3])
b = s[a]
print(b.values)
['One' 'Two' 'Three']
</code></pre>
<p>对于高维结构,有<a href="https://xarray.pydata.org/" rel="nofollow noreferrer">xarray</a>。在</p>