data : array, shape (n_epochs, n_channels, n_times)
 sfreq
: floatSampling rate
 frequencies
: arraylikeThe frequencies
 use_fft
: boolUse the FFT for convolutions or not.
 n_cycles
: float  array of floatNumber of cycles in the Morlet wavelet. Fixed number
or one per frequency.
 baseline
: None (default) or tuple of length 2The time interval to apply baseline correction.
If None do not apply it. If baseline is (a, b)
the interval is between “a (s)” and “b (s)”.
If a is None the beginning of the data is used
and if b is None then b is set to the end of the interval.
If baseline is equal ot (None, None) all the time
interval is used.
 baseline_mode
: None  ‘ratio’  ‘zscore’  ‘mean’  ‘percent’  ‘logratio’  ‘zlogratio’Do baseline correction with ratio (power is divided by mean
power during baseline) or zscore (power is divided by standard
deviation of power during baseline after subtracting the mean,
power = [power  mean(power_baseline)] / std(power_baseline)),
mean simply subtracts the mean power, percent is the same as
applying ratio then mean, logratio is the same as mean but then
rendered in logscale, zlogratio is the same as zscore but data
is rendered in logscale first.
If None no baseline correction is applied.
 times
: arrayRequired to define baseline
 decim
: int  sliceTo reduce memory usage, decimation factor after timefrequency
decomposition.
If int, returns tfr[..., ::decim].
If slice, returns tfr[..., decim].
Note
Decimation may create aliasing artifacts.
Defaults to 1.
 n_jobs
: intThe number of epochs to process at the same time
 zero_mean
: boolMake sure the wavelets have a mean of zero.
 verbose
: bool, str, int, or NoneIf not None, override default verbose level (see mne.verbose).
