擅长:python、mysql、java
<p>将<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html" rel="nofollow noreferrer">^{<cd1>}</a>与<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html" rel="nofollow noreferrer">^{<cd2>}</a>一起使用:</p>
<pre><code>need = df['Jobrol'].value_counts().index[:3]
df['Jobrol'] = np.where(df['Jobrol'].isin(need), df['Jobrol'], 'OTHER')
valCount = df['Jobrol'].value_counts()
print (valCount)
Research Scientist 7
Sales Executive 7
Laboratory Technician 5
OTHER 2
Name: Jobrol, dtype: int64
</code></pre>
<p>另一种解决方案:</p>
^{pr2}$