The filledcurves plotting style cannot handle such gradient filling, but you can modify your data file to use it with pm3d. You must add a second data block to your file, which has the same values in the first column, and the minimum of all values of the second column...

plot,gnuplot,spectrum,infrared,chemistry

andyras' answer is a nice one, this is an arguably simpler (more elegant :-P) solution in terms of layout options. This should also be a more universal solution. If there are not too many tics (read below the figure if there are too many), then this could be done scaling...

javascript,jquery,color-picker,spectrum

Try something like this: HTML <!-- Color Picker --> <div class="colorpicker-container"> <input class="full" /> <a class="add" href="#">+ Add</a> </div> <!-- /Color Picker --> JQuery $(document).on("click", ".add", function(){ $(this).before("<input class='full' />"); $('.full:empty').spectrum({ showPaletteOnly: true, // if you want to only have the palette showPalette:true, palette: [ // here the colors you...

the outcome of the dft (magI) is a float Mat, but you can only save uchar images with imwrite. since you normalized the image to [0..1] , the resulting uchar - grayscale img only has 0 and 1 values, which will look pretty black indeed. also, applying cv::cvtColor(magI, gs_bgr, CV_RGB2GRAY);...

I have been using this code, which was given to me by Rick White. However, the specutils package is probably the better way to do it: from specutils.io import read_fits spectra_list = read_fits.read_fits_spectrum1d('mymultispec.fits') print spectra_list[0] Spectrum1D([ 338.06109619, 395.59234619, 326.0012207 , ..., 660.0098877 , 686.54498291, 689.58374023]) print spectra_list[1].dispersion <Quantity [ 8293.44875263,...

Use numpy. As an example, let me show how I analysed the frequencies in a stereo WAV file; First I read the data and separated it in the left and right channels; import wave import numpy as np wr = wave.open('input.wav', 'r') sz = 44100 # Read and process 1...

I found an answer myself: I calculate the difference between the two peaks with the lowest frequency values and with energy values above a certain threshold. Then, I check if that difference is (within a certain range) in the list of frequencies.

audio,numpy,fft,spectrum,nyquist

What you are asking for is not possible. As you mentioned in a comment you require a short time window. I assume this is because you're trying to detect when a signal arrives at a certain frequency (as I've answered your earlier question on the subject) and you want the...

matlab,plot,spectrum,spectrogram

A simple plot(f) tries to plot frequency vector, isn' t it? Check the code below: X_mags = abs(fft(signal)); bin_vals = [0 : N-1]; fax_Hz = bin_vals*fs/N; N_2 = ceil(N/2); [a, g] = lpc(signal,N); [h, f] = freqz(b, a, N, fs); figure, hold on, plot(f, 20*log10(abs(h)), 'r'); plot(fax_Hz(1:N_2), 20*log10(X_mags(1:N_2))); title('Frequency Spectrum');...

matlab,matlab-figure,frequency,spectrum

Ok I think I've figure it out, you need to pass in more than one data to the same step call like so: Fs = 12e6; hss = dsp.SpectrumAnalyzer('SampleRate', Fs); data = randi([0 1],2000,1);%I had to increase the # of points %% OQPSK Modulate data hMod = comm.OQPSKModulator('BitInput',true); tx =...

matlab,fft,noise,spectrum,mathcad

The main reason why it doesn't work is due to the scaling factor of the FFT between MathCad and MATLAB. With MathCad, there is an extra scaling factor of 1/sqrt(N) whereas MATLAB does not include this said scaling factor. As such, you'll need to multiply your FFT results by this...

Let's try using ggplot2 directly, as that will give us the most flexibility: library(ggplot2) library(reshape2) # For melt function # Turn rownames into a data column dataTable$x = as.numeric(rownames(dataTable)) # melt using x (the former rownames) as the ID variable dataTable.m = melt(dataTable, id.var="x") ggplot(dataTable.m, aes(x, value, colour=variable, group=variable)) +...