numpy 库中含有很多统计学函数。
在numpy - ref - 1.14.pdf 文件的3.27 statistics 章节 中
1 排序统计 order statistics
1.1 最小值 amin()
numpy.amin(a, axis=None, out=None, keepdims=<class ’numpy._globals._NoValue’>)
参数
a - 输入的数据 array_like
axis -
Return the minimum of an array or minimum along an axis.
返回一个数组的最小值或最小值沿一个轴。
语法:
amin(a[, axis, out, keepdims]) Return the minimum of an array or minimum along an axis
amin(a[, axis, out, keepdims]) Return the minimum of an array or minimum along an axis. amax(a[, axis, out, keepdims]) Return the maximum of an array or maximum along an axis. nanmin(a[, axis, out, keepdims]) Return minimum of an array or minimum along an axis, ignoring any NaNs. nanmax(a[, axis, out, keepdims]) Return the maximum of an array or maximum along an axis, ignoring any NaNs. Continued on next page 1162 Chapter 3. RoutinesNumPy Reference, Release 1.14.5 Table 166 – continued from previous page ptp(a[, axis, out]) Range of values (maximum - minimum) along an axis. percentile(a, q[, axis, out, . . . ]) Compute the qth percentile of the data along the specified axis. nanpercentile(a, q[, axis, out, . . . ]) Compute the qth percentile of the data along the specified axis, while ignoring nan values.
用于从数组中给定的元素中查找最小,最大,百分标准差和方差等。 函数说明如下: