DataFrame.quantile ()API介绍说明

最新推荐文章于 2025-03-23 09:00:56 发布

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最新推荐文章于 2025-03-23 09:00:56 发布

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本文详细介绍了Pandas库中DataFrame.quantile()函数的使用方法，包括参数解释：q值定义、轴方向选择、是否仅限数值型数据、插值方法等。并阐述了返回值类型，当q为数组时返回DataFrame，q为浮点数时返回Series。

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DataFrame.quantile(self, q=0.5, axis=0, numeric_only=True, interpolation=‘linear’)

Return values at the given quantile over requested axis.

Parameters:

q : float or array-like, default 0.5 (50% quantile)
Value between 0 <= q <= 1, the quantile(s) to compute.

axis : {0, 1, ‘index’, ‘columns’} (default 0)
Equals 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise.

numeric_only : bool, default True
If False, the quantile of datetime and timedelta data will be computed as well.

interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}
This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points i and j:

linear: i + (j - i) * fraction, where fraction is the fractional part of the index surrounded by i and j.
lower: i.
higher: j.
nearest: i or j whichever is nearest.
midpoint: (i + j) / 2.
New in version 0.18.0.

Returns:

Series or DataFrame
If q is an array, a DataFrame will be returned where the
index is q, the columns are the columns of self, and the values are the quantiles.

If q is a float, a Series will be returned where the
index is the columns of self and the values are the quantiles.