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Usage Instructions

Welcome to our Discrete Fourier Transform (DFT) page! Here, you can perform DFT calculations on your data to analyze its frequency components. To get started, follow these simple instructions:
1-)Input Data: Begin by entering your data into the provided input box. You can either type in the values directly or copy and paste them from a file or another source. Ensure that your data is in a discrete time-series format.
2-)Select Parameters: Choose the desired parameters for your DFT calculation. Specify the sampling rate, which represents the number of samples taken per unit of time. Additionally, set the length of the DFT, which determines the number of frequency components you want to analyze.
3-)Calculate DFT: Once you've entered the data and set the parameters, click the 'Calculate DFT' button. Our algorithm will process the input and generate the DFT results.

 - numpy import numpy as np from numpy.fft import fft def fftjs(*args, **kwargs): text = Element('test-input').element.value console.log(text) array=np.array(text.replace("i", "j").split(",")) console.log(array) dftarray=fft(array) b=document.querySelector("#out-table") i=0 b.innerHTML ="" for x in dftarray: child = document.createElement("tr") childchild1 = document.createElement("th") childchild1.setAttribute('scope','row') childchild1.innerText=i; childchild2 = document.createElement("td") childchild2.innerText = array[i] childchild3 = document.createElement("td") childchild3.innerText = x child.appendChild(childchild1) child.appendChild(childchild2) child.appendChild(childchild3) b.appendChild(child) i+=1