排序统计
方法 | 描述 | amin(a[, axis, out, keepdims]) 返回最小值 amax(a[, axis, out, keepdims]) 返回最大值 nanmin(a[, axis, out, keepdims]) 返回最小值，忽略空值 nanmax(a[, axis, out, keepdims]) 返回最大值忽略空值 ptp(a[, axis, out]) max-min 数组的范围 percentile(a, q[, axis, out, …]) 百分比计算 nanpercentile(a, q[, axis, out, …]) 百分比计算，并忽略空值平均值和方差
方法 | 描述 | median(a[, axis, out, overwrite_input, keepdims]) 中位数 average(a[, axis, weights, returned]) 权重平均数 mean(a[, axis, dtype, out, keepdims]) 算数平均数 std(a[, axis, dtype, out, ddof, keepdims]) 标准差 var(a[, axis, dtype, out, ddof, keepdims]) 方差 nanmedian(a[, axis, out, overwrite_input, …]) 中位数，并忽略空值 nanmean(a[, axis, dtype, out, keepdims]) 算数平均数，忽略空值 nanstd(a[, axis, dtype, out, ddof, keepdims]) 标准差，忽略空值 nanvar(a[, axis, dtype, out, ddof, keepdims]) 方差，忽略空值相关性
方法 | 描述 | corrcoef(x[, y, rowvar, bias, ddof]) 返回Pearson product-moment correlation 系数 correlate(a, v[, mode]) Cross-correlation of two 1-dimensional sequences. cov(m[, y, rowvar, bias, ddof, fweights, …]) Estimate a covariance matrix, given data and weights.直方图
方法 | 描述 | histogram(a[, bins, range, normed, weights, …]) Compute the histogram of a set of data. histogram2d(x, y[, bins, range, normed, weights]) Compute the bi-dimensional histogram of two data samples. histogramdd(sample[, bins, range, normed, …]) Compute the multidimensional histogram of some data. bincount(x[, weights, minlength]) Count number of occurrences of each value in array of non-negative ints. digitize(x, bins[, right]) Return the indices of the bins to which each value in input array belongs. 0 0
