def plot_signal_sum_colorplot(ax, params, fname='<STR_LIT>', unit='<STR_LIT>', N=<NUM_LIT:1>, ylabels = True,<EOL>T=[<NUM_LIT>, <NUM_LIT:1000>], ylim=[-<NUM_LIT>, <NUM_LIT:0>], fancy=False, colorbar=True,<EOL>cmap='<STR_LIT>', absmax=None, transient=<NUM_LIT:200>, rasterized=True):
f = h5py.File(fname)<EOL>data = f['<STR_LIT:data>'].value<EOL>tvec = np.arange(data.shape[<NUM_LIT:1>]) * <NUM_LIT> / f['<STR_LIT>'].value<EOL>datameanaxis1 = f['<STR_LIT:data>'].value[:, tvec >= transient].mean(axis=<NUM_LIT:1>)<EOL>slica = (tvec <= T[<NUM_LIT:1>]) & (tvec >= T[<NUM_LIT:0>])<EOL>data = data[:,slica]<EOL>dataT = data.T - datameanaxis1<EOL>data = dataT.T<EOL>data = data/N<EOL>zvec = params.electrodeParams['<STR_LIT:z>']<EOL>if fancy:<EOL><INDENT>colors = phlp.get_colors(data.shape[<NUM_LIT:0>])<EOL><DEDENT>else:<EOL><INDENT>colors = ['<STR_LIT:k>']*data.shape[<NUM_LIT:0>]<EOL><DEDENT>if absmax == None:<EOL><INDENT>absmax=abs(np.array([data.max(), data.min()])).max()  <EOL><DEDENT>im = ax.pcolormesh(tvec[slica], np.r_[zvec, zvec[-<NUM_LIT:1>] + np.diff(zvec)[-<NUM_LIT:1>]] + <NUM_LIT:50>, data,<EOL>rasterized=rasterized, vmax=absmax, vmin=-absmax, cmap=cmap)<EOL>ax.set_yticks(params.electrodeParams['<STR_LIT:z>'])<EOL>if ylabels:<EOL><INDENT>yticklabels = ['<STR_LIT>' %(i+<NUM_LIT:1>) for i in np.arange(len(params.electrodeParams['<STR_LIT:z>']))]<EOL>ax.set_yticklabels(yticklabels)<EOL><DEDENT>else:<EOL><INDENT>ax.set_yticklabels([])<EOL><DEDENT>if colorbar:<EOL><INDENT>divider=make_axes_locatable(ax)<EOL>cax=divider.append_axes("<STR_LIT:right>", size="<STR_LIT>", pad=<NUM_LIT:0.1>)<EOL>cbar=plt.colorbar(im, cax=cax)<EOL>cbar.set_label(unit,labelpad=<NUM_LIT:0.1>)<EOL><DEDENT>plt.axis('<STR_LIT>')<EOL>ax.set_ylim(ylim)<EOL>f.close()<EOL>return im<EOL>
on colorplot and as background plot the summed CSD contributions

args:
::
    ax : matplotlib.axes.AxesSubplot object
    T : list, [tstart, tstop], which timeinterval
    ylims : list, set range of yaxis to scale with other plots
    fancy : bool, 
    N : integer, set to number of LFP generators in order to get the normalized signal