For this example post, we'll create a fileaveraging.fthat contains a number of routines for computing different statsistical "averages," mean, median, and mode to be specific. A simple implementation of a mean routine in (fixed-format) Fortran would be: c c Computes the mean of array x...
The modern Fortran language has various types of arrays and an array sectioning feature that enables subsections of arrays to be passed as parameters to functions or be pointed by Fortran pointers. For loops that operate on arrays, the compiler can generate unit stride vector code, non-unit...
, fortran_array.flags['C_CONTIGUOUS']) # False 3)转换不同类型的数组 import numpy as np # 创建一个普通的 NumPy 数组 array = np.array([[1, 2, 3], [4, 5, 6]]) # 将其转换为 Fortran 列优先格式的数组 fortran_array = np.asfortranarray(array) # 创建一个列表并转换为 Fortran ...
float fpA[]={1.2f,3.f,44.f,2.5f,-1.3f,33.44f,5.f,0.3f,-3.6f,24.1f},fpMean; iSum=SUMIT(iA,&iN); cout << "The Sum of iA is:" << iSum << endl; fpMean=MEAN(fpA,&iN); cout << "The Mean of fpA is:" << fpMean << endl; return 0; } (2) The Fortran file: INT...
子例程 date_and_time 返回实时时钟和日期的相关数据。返回数据包括本地时间以及本地时间与通用协调时间 (Universal Coordinated Time, UTC) 之间的时差,通用协调时间也称为格林威治标准时间 (Greenwich Mean Time, GMT)。子例程 date_and_time() 的调用方式如下:...
子例程 date_and_time 返回实时时钟和日期的相关数据。返回数据包括本地时间以及本地时间与通用协调时间 (Universal Coordinated Time, UTC) 之间的时差,通用协调时间也称为格林威治标准时间 (Greenwich Mean Time, GMT)。子例程 date_and_time() 的调用方式如下:...
_array, n)implicit noneinteger, intent(in) :: nreal, dimension(n), intent(inout) :: data_arrayinteger :: ireal :: mean_value = 0.0do i = 1, nmean_value = mean_value + data_array(i)end domean_value = mean_value / ndo i = 1, ndata_array(i) = data_array(i) - mean_...
The thing is that an argument of type "double *" in a C function could mean two things (maybe even more): it is the starting address of an array of double-precision numbers or it is the address of a scalar and the function will change its value. In your case the C function ...
外部函数 real :: data_array(5), data_mean, data_std x = [1,2,3] y = [3,2,1] n_x = size(x) ! *** 内部*** print *, '内部函数:' call vector_product(n_x, x, y, dot_product, element_wise_product) print *, 'x· y = ', dot_product print *, 'element wise product...
Find size of array ... n = SIZE(arr, kind = INT64) ! Calculate the mean ... IF(PRESENT(dof))THEN ans = SUM(arr) / REAL(n - dof, kind = REAL64) ELSE ans = SUM(arr) / REAL(n, kind = REAL64) END IF END FUNCTION func_mean 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...