擅长:python、mysql、java
<p>您可能对<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.cut.html" rel="nofollow">^{<cd1>}</a>感兴趣:</p>
<pre><code>>>> df = pd.DataFrame({"income": np.random.uniform(0, 10**6, 10)})
>>> df["incomebracket"] = pd.cut(df.income, np.linspace(0, 10**6, 11))
>>> df
income incomebracket
0 474229.041695 (400000, 500000]
1 128577.241314 (100000, 200000]
2 254345.417166 (200000, 300000]
3 622104.725105 (600000, 700000]
4 93779.964789 (0, 100000]
5 865556.464985 (800000, 900000]
6 304711.799685 (300000, 400000]
7 601910.710932 (600000, 700000]
8 229606.880350 (200000, 300000]
9 49889.911661 (0, 100000]
[10 rows x 2 columns]
</code></pre>
<p>另请参见<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.qcut.html" rel="nofollow">^{<cd2>}</a>。在</p>