arr=np.array([5,2,8,1,9,3,7])max_index=np.argmax(arr)print("numpyarray.com: Index of maximum value:",max_index) Python Copy Output: np.argmax()返回数组中最大值的索引。 6. 查找满足条件的第一个值的索引 有时我们只需要找到满足条件的第一个值的索引。 importnumpyasnp arr=np.array(...
np.var np.nanvar Compute variance np.min np.nanmin Find minimum value np.max np.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile...
np.minnp.nanminFind minimum value np.maxnp.nanmaxFind maximum value np.argminnp.nanargminFind index of minimum value np.argmaxnp.nanargmaxFind index of maximum value np.mediannp.nanmedianCompute median of elements np.percentilenp.nanpercentileCompute rank-based statistics of elements np.anyN/...
np.min np.nanmin Find minimum value np.max np.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of ...
np.max np.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements ...
原文:numpy.org/doc/1.26/user/index.html 本指南是一个概述,解释了重要特性;细节请参阅 NumPy 参考文档。 开始入门 什么是 NumPy? 原文:numpy.org/doc/1.26/user/whatisnumpy.html NumPy 是 Python 中科学计算的基础包。 这是一个提供多维数组对象、各种派生对象(如掩码数组和矩阵)以及一系列用于数组快速操...
0]中找到非0元素的索引 nz = np.nonzero([...a 10x10 array with random values and find the minimum and maximum values (★☆☆) 创建一个10*10的随机值数组,并找到最大最小值...(★★☆) 如何在数组中找到最接近给定值的值 Z = np.arange(100) v = np.random.uniform(0,100) index = (...
x = np.arange(1,17).reshape(4,4) x Out[23]: array([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12], [13, 14, 15, 16]]) x.min() Out[24]: 1 x.max() Out[25]: 16 x.argmin() # index of minimum Out[26]: 0 x.argmax() # index of maximum Out[27...
Here, we’re going to identify the index of the maximum value of a 1-dimensional Numpy array. First, let’s just create the array: my_1d_array = np.array([1,2,3,100,5]) Next, let’s apply np.argmax. np.argmax(a = my_1d_array) ...
2、pv函数——计算现值(present value)是指资产在当前时刻的价值。 现值有以下4个参数决定——利率、期数、每期支付金额以及终值 语法格式如下: numpy.fv(rate, nper, pmt, fv,[ when='end’]) 参数: rate:每一期的利率(rate of interest)。