fitgrid.epochs module
Data structure for validating and efficiently slicing fixed-length segments of typically multichannel time-series data.
- class fitgrid.epochs.Epochs(epochs_table, time, epoch_id, channels)[source]
Bases:
objectContainer class used for storing epochs tables and exposing statsmodels.
- Parameters
epochs_table (pandas DataFrame) – long form dataframe containing epochs with equal indices
time (str) – time column name
epoch_id (str) – epoch identifier column name
channels (list of str) – list of channel names to serve as dependent variables
- Returns
epochs – epochs object
- Return type
- distances()[source]
Return scaled Euclidean distances of epochs from the “mean” epoch.
- Returns
distances – Series or DataFrame with epoch distances
- Return type
pandas Series or DataFrame
Notes
Distances are scaled by dividing by the max.
- plot_averages(channels=None, negative_up=True)[source]
Plot grand mean averages for each channel, negative up by default.
- Parameters
channels (list of str, optional, defaults to all channels) – list of channel names to plot the averages
negative_up (bool, optional, default True) – by convention, ERPs are plotted negative voltage up
- Returns
fig (matplotlib.figure.Figure) – figure containing plots
axes (numpy.ndarray of matplotlib.axes.Axes) – axes objects