pandas 使用哪种方法进行百分位数显示? [英] Which method does pandas use for percentile?

问题描述

我试图了解熊猫的上下百分位数计算，并感到有些困惑.这是示例代码及其输出.

I was trying to understand lower/upper percentiles calculation in pandas and got a bit confused. Here is the sample code and output for it.

test = pd.Series([7, 15, 36, 39, 40, 41])
test.describe()

输出:

我只对25％，75％的百分位数感兴趣. 我想知道大熊猫使用哪种方法计算它们?

I am interested in only 25%, 75% percentiles. I wonder which method does pandas use to calculate them?

请参考 https://en.wikipedia.org/wiki/Quartile ，结果如下:

那么熊猫使用什么统计/数学方法来计算百分位数?

So what statistical/mathematical method does pandas uses to calculate percentile?

推荐答案

正如我在评论中提到的，我终于通过使用@cb>建议的quantile函数尝试from pandas.core.algorithms import quantile，弄清了它是如何工作的.

As I mentioned in the comments, I finally figured out how it works by trying from pandas.core.algorithms import quantile using quantile function as @Abdou suggested.

我不能仅通过键入来解释它，因此我只会在给定的示例中进行此操作，只有25％的示例和75％的示例进行此操作.这是简短的(也许很糟糕)解释:

I am not that good to explain it only by typing, therefore I will do it only on the given example for 25% and 75% for this example only. Here is the brief (maybe poor) explanation:

对于示例列表，[7, 15, 36, 39, 40, 41]分位数采用以下方式:

For the example list [7, 15, 36, 39, 40, 41] quantiles are following way:

7-> 0％

15-> 20％

36-> 40％

39-> 60％

40-> 80％

41-> 100％

由于我们要找到25％的百分位，所以它将在15到36之间，而且是20％+ 5％= 15 +(36-15)/4 = 15 + 5.25 = 20.25.

Since we want to find 25% percentile, it will be between 15 and 36, moreover, it is 20% + 5% = 15 + (36-15)/4 = 15 + 5.25 = 20.25.

(36-15)/4，因为15和36之间的距离为40％-20％= 20％，因此我们将其除以4得到5％.

(36-15)/4 is used, because the distance between 15 and 36 is 40% - 20% = 20%, so we divide it by 4 to get 5%.

我们找到75％的方法相同.

The same way we can find 75%.

60％+ 15％= 39 + 3 *(40-39)/4 = 39.75

60% + 15% = 39 + 3*(40-39)/4 = 39.75

就是这样.非常抱歉解释不清

That's it. I am really sorry for poor explanation

注意:感谢@shin评论中提到的更正.

NOTE: Thank you @shin for the correction mentioned in the comment.

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