Data visualization ¶
Below we list all the functions available in the NURI software specifically designed to search for and extract data from a given period of time. More details about each function, with examples on how to execute them, can be found further down this page. A live example can be executed from this Google Colab tutorial .
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Plot multiplot figure with time series, PSD and spectrogram. |
Plot spectrogram ¶
- nuri. plot_spectrogram ( data , tmin = None , tmax = None , fmin = None , fmax = None , vmin = None , vmax = None , mmax = None , mmin = None , mode = 'wavelet' , omega0 = 6 , dj = 0.05 , fct = 'morlet' , stride = None , nfft = None , overlap = None , scale = 'log' , median = False , funit = 'Hz' , tunit = 'secs' , cmap = 'inferno' , zone = 'Local' , fname = None ) [source] ¶
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Plot multiplot figure with time series, PSD and spectrogram.
- Parameters :
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- data TimeSeries
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Magnetic field data
- tmin, tmax datetime
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First and last timestamps
- fmin, fmax float
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Minimum and maximum frequencies
- vmin, vmax float
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Minimum and maximum color values
- mode str
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Spectrogram mode, wavelet or Fourier. Default is Fourier
- omega0 int
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Wavelet function parameter
- dj float
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Scale resolution (smaller values of dj give finer resolution)
- fct str
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Wavelet function (morlet,paul,dog)
- stride float
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Length of segment
- nfft float
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Length of FFT
- overlap float
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Length of overlapping segment
- cmap str
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Colormap
- scale str
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Plotted frequency scale. Default is “log”.
- funit strg
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Frequency unit, Hz or mHz. Default is Hz.
- tunit str
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Time unit, secs, mins or hrs. Default is mins.
- fname str
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Output file name.
Notes
The matplotlib.pyplot.imshow module is used to plot the wavelet spectrogram. This module is usually used to plot raw images and assumes that the position of the cell in the input spectrogram array directly represents the position of the pixel in the raw image. That is, for an input Python array (in which rows are appended below previous ones), the first row in the array is assumed to represent the top line of pixel in the image. Therefore, in order to plot the spectrogram array using the imshow module, one needs to carefully check that the rows (which are representative of the frequency bands), are stored in descending order such that the lowest frequency is placed at the end (bottom) of the array.
Examples
>>> data = nuri.get_data('2016-3-14-10','2016-3-14-11','/content/drive/MyDrive/CityMagData/1Hz',station=2,sensor='biomed',scalar=True) >>> nuri.plot_spectrogram(data)