擅长:python、mysql、java
<p>查看的文档数据帧.corr()</p>
<pre><code>Parameters
method : {'pearson', 'kendall', 'spearman'} or callable
* pearson : standard correlation coefficient
* kendall : Kendall Tau correlation coefficient
* spearman : Spearman rank correlation
* callable: callable with input two 1d ndarrays
and returning a float. Note that the returned matrix from corr
will have 1 along the diagonals and will be symmetric
regardless of the callable's behavior
.. versionadded:: 0.24.0
</code></pre>
<p>也可以查看数据帧.corrwith()</p>
<p><strong>警告</strong>:此方法计算对称相关矩阵,如CramrsV,但此方法不适用于TheilsU和其他非对称corr矩阵。在</p>