Plotter

plot_h5

your.utils.plotter.plot_h5(
    h5_file, save=True, detrend_ft=True, publication=False, mad_filter=False, outdir=None
)

Plot the h5 candidates

Args:

mad_filter (int): use MAD filter to clip data
h5_file (str): Name of the h5 file
save (bool): Save the file as a png
detrend_ft (bool): detrend the frequency time plot
publication (bool): make publication quality plot
outdir (str): Path to the save the files into.

Returns:

None

[source]

save_bandpass

your.utils.plotter.save_bandpass(
    your_object, bandpass, chan_nos=None, mask=None, outdir=None, outname=None
)

Plots and saves the bandpass

Args:

your_object: Your object
bandpass (np.ndarray): Bandpass of the data
chan_nos (np.ndarray): Array of channel numbers
mask (np.ndarray): Boolean Array of channel mask
outdir (str): Output directory to save the plot
outname (str): Name of the bandpass file