glmdenoise.report module¶

class glmdenoise.report.Report[source]¶

Bases: object

Html report and figures

add_image(figure, title)[source]¶

Add html for a figure

Parameters:	name (str) – Name of figure

add_toc()[source]¶: Add table of contents (list with links) to top of report

plot_hrf(hrf1, hrf2, tr=2.0, title='Hemodynamic Reponse Function')[source]¶

Line plot of initial and estimated HRF

Parameters:	hrf1 (ndarray) – hrf vector (1D) hrf2 (ndarray) – another hrf vector (1D) tr (float, optional) – Repetition time. Defaults to 2.0 title (str, optional) – Defaults to ‘Hemodynamic Reponse Function’.

plot_image(imgvector, title='no title', dtype='mask', drange=None)[source]¶

Plot slices of a 3D image in a grid.

Uses the spatial dimensions set on the report instance. (Report.spatialdims)

Parameters:	imgvector (ndarray) – Voxel values in a vector (1D) title (str, optional) – Name of the plot. Defaults to ‘no title’. dtype (str, optional) – How to scale the data. Defaults to ‘mask’.

plot_noise_regressors_cutoff(r2, n_noise_regressors, title)[source]¶

Line plot of model fit by number of noise regressors used

Parameters:	r2 (ndarray) – r-squared value for model fit for each number of regressors included(1D) n_noise_regressors (int) – The number of regressors chosen title (str) – Name of plot

plot_scatter_sparse(data, xlabel, ylabel, title, crosshairs=False)[source]¶

Scatter plot using max 1000 points for each series

Parameters:	data (list) – List of (x, y) tuple data series xlabel (str) – Label on x-axis ylabel (str) – Label on y-axis title (str) – Name of plot crosshairs (bool, optional) – Display horizontal and vertical lines through 0. Defaults to False.

glmdenoise