用Python计算,代码如下: importnumpyasnpdefstd(data):"""Compute standard deviation of sample:param data: array_like data:return: standard deviation of sample"""returnnp.std(data,ddof=1)defmain():d1=[177,193,195,209,226]
Function Name NaN-safe Version Description np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.min np.nanmin Find minimum value np...
size(): Compute group sizes count(): Compute count of group std(): Standard deviation of groups var(): Compute variance of groups sem(): Standard error of the mean of groups first(): Compute first of group values last(): Compute last of...
Function Name NaN-safe Version Description np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.min np.nanmin Find minimum value np...
def ComputeVolatility (contractData): //包含多少天的标的合约价格 nDays=contractData.length //获取每日收盘价(或者结算价)并存入数组 priceArray=contractData.close //对价格取自然对数 lnPriceArray=[ln(x) for x in priceArray] //以下表示取对数价格的差,并存在diffPriceArray数组中, //我们忽略了边界条...
np.prodnp.nanprodCompute product of elements np.meannp.nanmeanCompute mean of elements np.stdnp.nanstdCompute standard deviation np.varnp.nanvarCompute variance np.minnp.nanminFind minimum value np.maxnp.nanmaxFind maximum value np.argminnp.nanargminFind index of minimum value ...
np.sumnp.nansum Computesumof elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation np.var np.nanvar Compute variance np.minnp.nanmin Find minimum value ...
# Compute the cell coordinates of a generic local structure# 计算mcc_radius = 70mcc_size = 16g = 2*mcc_radius/mcc_sizex = np.arange(mcc_size)*g- (mcc_size/2)*g+g/2y = x[..., np.newaxis]iy, ix = np.nonzero(x**2+y**2<= mcc_radius**2)ref_cell_coords = np.column_...
自主地解决问题是人工智能和机器学习的中心目标。 遗传算法(GA)是一种进化计算技术,可自动解决问题,而无需用户事先知道或指定解决方案的形式或结构。 从最抽象的层次上讲,GA 是计算机自动解决问题的一种系统的,与领域无关的方法,它从需要做什么的高级说明开始。 进化算法的基本步骤如下: “步骤 1” 随机生成数据...
You can use an initial value to compute the maximum of an empty slice, or to initialize it to a different value: >>> np.amax([[-50], [10]], axis=-1, initial=0) array([ 0, 10]) Notice that the initial value is used as one of the elements for which the ...