问题

使用numpy计算百分位时，我看到一些作者使用以下方式：

Q1, Q3 = np.percentile(X, [25, 75])

这对我来说很清楚。然而，我也看到其他人使用以下方式：

loss = np.percentile(X, 4)

我认为这里的4表示将100分成4个百分位，但在这种情况下如何计算损失（即在第二种情况下）？

英文:

When calculating the percentile using numpy, I see some authors use:

Q1, Q3 = np.percentile(X, [25, 75])

which is clear to me. However, I also see others use:

loss = np.percentile(X, 4)

I presume 4 implies dividing the 100 into 4 percentiles but how the loss is calculated here (i.e., in the second case)?

答案1

得分: 4

np.percentile(X, 4) 只是计算第4百分位数。

英文:

I don't know where you found the second case but it's incorrect (or misinterpreted).

np.percentile(X, 4) simply calculates the 4th percentile.

X = np.arange(0, 101)

np.percentile(X, [25, 75])
# array([25., 75.])

np.percentile(X, 4)
# 4.0

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