I have a matrix with several columns and rows. I need to find the average of particular rows in one column depending on if the value in the row for another column is 1 or 2. So for example, in the following matrix: 1 1 2 1 ...
并将MATLAB代码转换为PythonEN一、对文件操作流程 1.打开文件，得到文件句柄并赋值给一个变量 2.通过文...
Average or mean value of array collapse all in page Description M = mean(A)returns themeanof the elements ofAalong the first array dimension whose size does not equal 1. IfAis a vector, thenmean(A)returns the mean of the elements. ...
Average or mean value of array collapse all in page Description M = mean(A)returns themeanof the elements ofAalong the first array dimension whose size does not equal 1. IfAis a vector, thenmean(A)returns the mean of the elements. ...
Mean:Average or mean value of array(数组的平均值) Median:Median value of array(数组中值) Mode:Most frequent values in array(数组中最常见的值) prctile:Percentiles of a data set(每一个百分数的数值,若求四分位数,则q1为25%,q3为75%) Quartile:四分位数 Quartile:四分位数,通常指q1和q3 Inter...
function [sumArray, averageArray, minArray] = arraystuff(inputArray) sumArray = sum(sum(inputArray)); averageArray = mean(mean(inputArray)); minArray = min(min(inputArray)); end 1. 2. 3. 4. 5. [Asum, Aavg, Amin] = cellfun(@arraystuff,A) ...
function[sumArray,averageArray,minArray]=arraystuff(inputArray)sumArray=sum(sum(inputArray));averageArray=mean(mean(inputArray));minArray=min(min(inputArray));end 代码语言:javascript 代码运行次数:0 运行 AI代码解释 [Asum,Aavg,Amin]=cellfun(@arraystuff,A)Asum=45.00003.00007.3668Aavg=5.00000.33330.613...
If the input X is a matrix, Y=fft(X) returns the Fourier transform of each column of the matrix. If the input X is a multidimensional array, fft operates on the first nonsingleton dimension. Y = fft(X,n)returns the n-point DFT. fft(X) is equivalent to fft(X, n) where n is ...
This MATLAB function returns a vector with the local maxima (peaks) of the input signal vector, y.
(A1, 3)the movmean returns an array of local 3 points mean values, where every mean was calculated over a sliding window of length 3 across neighboring elements of A1. But if NaN is taking for calculating the mean then the output is also NaN. So now we recalculate the average but ...