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I'm new to signal processing. I have a dataset comprised of vibrational data I collected using an accelerometer as can be seen in this picture

enter image description here

I have been trying to apply fourrier transform to this dataset to determine the dominant frequencies and get a plot like this one

enter image description here

Cindy Meister
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MOHAMED KOUBAA
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    You can use Numpy https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fft.html#numpy.fft.fft Example with plot: https://plot.ly/matplotlib/fft/ – DarrylG Sep 19 '19 at 13:36
  • Welcome @MOHAMED KOUBAA! Please provide in your question what you have tried so far and why the results are not at expected. – jeannej Sep 19 '19 at 13:48
  • Hello , Thank you Actually , all the exemples provided , including this one , are applied on sine waves , I want to apply it to the dataset shown in the image i attached – MOHAMED KOUBAA Sep 19 '19 at 14:41
  • Which column of your dataset? – Joe Sep 20 '19 at 12:58
  • Could please post your data set online, and provide a link to it? In your question, your sample data set is too short, and it is not text, it seems to be an image. – DrM Sep 23 '19 at 14:28
  • Also, take a look at this and see if it helps you get started. It shows how to do fft of data from a csv file, and from generated numpy arrays. If you want something specific to your data, please post as per my previous note. https://stackoverflow.com/questions/52690632/analyzing-seasonality-of-google-trend-time-series-using-fft/52691914 – DrM Sep 23 '19 at 14:33

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