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you have set the sampling frequency to 2048 Hz but I am uncertain as to what i_ns is exactly. I think it is the number of samples but am uncertain why the number of samples are based on the sample frequency. Your presentation is excellent .

Thanks! I needed that. Excel and MS help didn't get me all the way to a frequency plot and the phase plot is great; I would need that eventually. My real data is ugly but it's a start. BTW, I just learned Excel's COUNT doesn't see the complex numbers.

Excellent. Thank you.

Thanks for the tips! Reading a little more about backends for matplotlib. Looks like the default backend is 'Agg'? Does this mean that after I change the backend to cairo matplotlib.use('cairo') then I can do matplotlib.use('Agg') to revert to the original, default behavior? More on the topic of interfacing with Illustrator, I've noticed that whenever I save a figure to a svg (or pdf), then open it in Illustrator, the first thing I end up doing is putting a good deal of manual labor into reorganizing the file in Illustrator into a layers/groups scheme more convenient for me to work with (for instance, having all the x-ticks in one group, the y-ticks in another group, and both x-ticks and y-ticks in a parent group together... and similar other examples for tick labels, errorbars, etc.) Is there any way to have my python code influence the grouping/layering of elements of the exported vector graphic so that I can essentially automate the process of organizing all the elements into more convenient groups/layers? Thanks!

excelente video

Very easy to understand explanation, thank you!

Very helpful, thanks!

Is there any off the shelf solution that can open a csv file and the user can select which series to plot, and it will autoscale? For example, there's csv-plot (both an online version, and a python version Manu NALEPA nalepae/csv-plot ).. Or plotjuggler / matplotlib ? YMT-Lab csv-graph-viewer uses pyqtgraph which seems perfect, but for such a common application I'm hoping to find something that already exists for what I need.

I'd like to plot a csv file using pyqtgraph! I've seen a couple examples (Manu NALEPA nalepae/csv-plot and YMT-Lab csv-graph-viewer) but I'm having trouble building. I know matplotlib can be used*.. but I think the PyQtGraph has better graphics! * import matplotlib.pyplot as plt import csv x = [] y = [] with open('filename.csv','r') as csvfile: #where file contains rows of 2 columns name/data plots = csv.reader(csvfile, delimiter = ',') for row in plots: x.append(row[0]) y.append(int(row[1])) plt.bar(x, y, color = 'g', width = 0.72, label = "Y-Name") plt.xlabel('X-Label') plt.ylabel('Y-Label') plt.title('Title') plt.legend() plt.show()

Impressive ! I wasn’t however, not able to run the notebook file from the github.

perfect

Hey would you be able to help me on applying this algorithm to my dataset. I think I have it right but I wanted to see If I have done it right, Thanks!