[Mne_analysis] cwt and visualization

[Nico Adelhöfer]

Hello,

I'm new to this mailing list and to MNE. I think so far it is really great!

I have a few questions concerning the usage of the cwt_morlet  
function; I want to plot a continuous wavelet transform from a single  
EEG channel. I have a raw multi-channel .fif file, approximately 300s  
long with a sampling frequency of 512 Hz. I'm interested in a  
frequency range of approximately 0-45 Hz. How can I achieve this in  
the simplest way possible? Specifically,

1. what datatype is the first parameter (X)? I tried the variable from  
read_raw_fif, but that gives me "'tuple' object has no attribute  
'shape'". I also tried raw[4][0], which seems to work. But is this  
really the correct approach?
2. is freqs simply a list of integers with the frequencies of  
interest? If the length is > 1, I get a Value Error ("Maximum allowed  
size exceeded"). Does this mean I have to resample my raw data until  
it works?
3. when it worked, it created an np.ndarray with numbers with complex  
parts. Do I see it correctly that the complex parts show the phase  
while the real part shows the power value?
4. how can I visualize the result?

Sorry for these basic questions. Help would be much appreciated!

Nico