问题描述
我正在使用Python库scipy计算两个浮点数组的Pearson相关性.即使数组不同，系数的返回值也始终为1.0.例如:
I am using Python library scipy to calculate Pearson's correlation for two float arrays. The returned value for coefficient is always 1.0, even if the arrays are different. For example:
[-0.65499887 2.34644428]
[-1.46049758 3.86537321]
我以这种方式调用例程:
I am calling the routine in this way:
r_row, p_value = scipy.stats.pearsonr(array1, array2)
r_row 的值始终为1.0.我在做什么错了?
The value of r_row is always 1.0. What am I doing wrong?
推荐答案
皮尔逊相关系数为衡量线性回归对数据的拟合程度的方法.如果仅提供两个点，则一条直线正好穿过两个点，因此您的数据完全适合一条直线，因此相关系数恰好为1.
Pearson's correlation coefficient is a measure of how well your data would be fitted by a linear regression. If you only provide it with two points, then there is a line passing exactly through both points, hence your data perfectly fits a line, hence the correlation coefficient is exactly 1.
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