擅长:python、mysql、java
<p>可以使用“替换为嵌套词典”:</p>
<pre><code>df.replace({'col_1':value2fixed}, inplace=True)
>>> df
col_1 col_2
0 dada 500
1 mel 650
2 hoodie 750
</code></pre>
<p>嵌套字典语法如下:</p>
<blockquote>
<p>Nested dictionaries, e.g., {‘a’: {‘b’: nan}}, are read as follows: look in column ‘a’ for the value ‘b’ and replace it with nan. </p>
</blockquote>
<p>从<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.replace.html" rel="nofollow noreferrer">docs</a></p>