changes.rst

Version History

.. currentmodule:: eelbrain

Known issues

Check for open issues, or report new ones on GitHub.

• Fixed in 0.38.3, Windows only (#52): due to unexpected data loss in :class:`multiprocessing.sharedctypes.RawArray` for large arrays, permutation tests on large datasets using multiprocessing could return spurious results in which p-values for all clusters were reported as exactly 0.

Major changes

New in 0.39

• :class:`testnd.LM` now supports permutation-based significance testing.

• New :class:`NDVar` functions for time series and an auditory model: :func:`pad`, :func:`gammatone_bank`, :func:`edge_detector`

• API:

  • The common ds parameter has been renamed to data to be more consistent with other packages.
  • The evaluation context for :class:`Dataset` does not include from numpy import * anymore, to avoid overwriting builtins like :func:`abs`; instead, NumPy is accessible as numpy.
  • :class:`testnd.LM`: The default number of permutations is now 10000 and the argument order has changed slightly to be consistent with other :mod:`testnd` tests. To use :class:`testnd.LM` for two-stage tests, set samples=0.
  • :class:`plot.Barplot` parameter c renamed to color.

New in 0.38

• :func:`boosting` optimized (as a consequence, the progress bar has been disabled).

New in 0.37

• ICA-GUI (:func:`gui.select_components`): Sort noisy epochs by dominant components - makes it easier to find components that capture specific artifacts.

• API: :func:`load.mne.events` now loads events from all stim-channels. To use a subset, use the stim_channel parameter.

• New plot: :class:`plot.SensorMap3d`.

• :func:`plot.styles_for_twoway` to quickly generate different color and line-style combinations.

• New function :func:`set_connectivity` to set the neighborhood structure of an :class:`NDVar`.

• :class:`pipeline.MneExperiment`:

  • :meth:`pipeline.MneExperiment.plot_evoked`: plot sensor data with corresponding source estimates
  • API: By default, events are now loaded from all stim-channels. To only use a subset of stim-channels, use the new :attr:`pipeline.MneExperiment.stim_channel` attribute.

New in 0.36

• Preview cross-validation data partitions with :func:`plot.preview_partitions`.
• :meth:`BoostingResult.partition_result_data` method to retrieve results from different partitions.

New in 0.35

• ICA GUI (:func:`gui.select_components`; :meth:`pipeline.MneExperiment.make_ica_selection`):

  • In the source time-course window, display the range of the data before and after cleaning in real-time.
  • New keyboard shortcut: alt + arrow keys to go to the beginning/end.
  • New context-menu commands: find top component for an epoch.

• Mark pairwise comparisons individually with :meth:`plot.Barplot.mark_pair` and :meth:`plot.Boxplot.mark_pair`.

• :meth:`NDVar.dot` generalized to multiple dimensions.

New in 0.34

• API:
  • :class:`plot.Correlation` renamed to :class:`plot.Scatter` with some parameter changes for improved functionality.
• New:
  • :func:`boosting`: Option to store TRFs for the different test partitions (partition_results parameter).
  • :func:`normalize_in_cells` (see :ref:`exa-compare-topographies`).
  • :class:`UTS` dimension: unit parameter to represent time in units other than seconds.
  • :mod:`report` submodule with shortcuts for data summary and visualization.
  • :func:`load.convert_pickle_protocol` for compatibility with older Python version.

New in 0.33

• API :func:`load.mne.events`: The merge parameter is now by default inferred based on the raw data.
• Boosting: plot data partitioning scheme (BoostingResult.splits.plot()).
• :class:`~pipeline.MneExperiment` pipeline:
  • New :attr:`pipeline.MneExperiment.merge_triggers` attribute.
  • Compatibility with Microsoft Windows.

New in 0.32

.. currentmodule:: eelbrain

• Requires at least Python 3.7
• API changes:
  • Consistent class names for tests in :mod:`test`, :mod:`testnd` and :mod:`pipeline`.
  • :class:`plot.Timeplot` argument order: second and third argument switched to facilitate plotting single category.
  • Significance markers for trends (.05 < p ≤ .1) are disabled by default.
• :func:`boosting`:
  • When using a basis, the function now considers the effect of the basis when normalizing predictors. This change leads to slightly different results, so TRFs should not be compared between this and previous versions. To facilitate keeping track of this change, it corresponds to a change in the :attr:`BoostingResult.algorithm_version` attribute from -1 to 0.
  • Different tstart/tstop for different predictors (contributed by Joshua Kulasingham)
  • Cross-validation of model fit (test parameter)
• :class:`plot.Style` to control advanced plotting options by category (see :ref:`exa-boxplot` example).
• New functions/methods:
  • :meth:`NDVar.quantile`
• :class:`~pipeline.MneExperiment` pipeline:
  • Methods with decim parameter now also have samplingrate parameter
  • More control over :ref:`MneExperiment-events`

New in 0.31

• API changes:
  • :class:`Var` and :class:`NDVar` argument order changed to be consistent with other data objects
  • :func:`combine`: Combining :class:`NDVar` with unequal dimensions will now raise an error; to combine them by taking the intersection of valid elements (previous behavior), use dim_intersection=True
  • :meth:`Dataset.save_txt`: delim parameter renamed to delimiter
  • :mod:`testnd` API: For permutation tests, the samples parameter now defaults to 10,000 (previously 0)
  • :func:`table.difference`: The by parameter is deprecated, use match instead
  • :meth:`NDVar.smooth` with a window with an even number of samples, and :attr:`BoostingResult.h` for :func:`boosting` with a basis with an even number of samples: the time axis is now consistent with :func:`scipy.signal.convolve` (was previously shifted by half a sample)
  • :meth:`testnd.LMGroup.coefficients_dataset` now returns a wide form table by default
  • :meth:`plot.Topomap.mark_sensors`, :meth:`plot.TopomapBins.mark_sensors` and :meth:`plot.SensorMap.mark_sensors`: The second argument now specifies axis to mark
• New functions:
  • :func:`gaussian`
  • :func:`powerlaw_noise`
  • :func:`set_time`
  • :func:`plot.two_step_colormap`
• :class:`plot.Boxplot`: Accepts additional arguments (label_fliers and :meth:`~matplotlib.axes.Axes.boxplot` parameters)
• :class:`plot.BarplotHorizontal`: Horizontal bar-plot
• Non-parametric univariate tests :class:`test.MannWhitneyU` and :class:`test.WilcoxonSignedRank`
• :class:`~pipeline.MneExperiment` pipeline:
  • :class:`pipeline.SubParc`: Simplified subset parcellation

New in 0.30

• Support for vector data (with many contributions from Proloy Das):
  • :class:`Space` dimension to represent physical space
  • :class:`VolumeSourceSpace` to represent volume source spaces
  • Statistical tests: :class:`testnd.Vector`, :class:`testnd.VectorDifferenceRelated`
  • Plotting with :class:`plot.GlassBrain`
• ICA-GUI: tool to find high amplitude signals
• Documentation: New :ref:`examples` section
• :meth:`Dataset.summary` method
• Element-wise :func:`maximum` and :func:`minimum` functions for :class:`NDVar` objects
• :class:`~pipeline.MneExperiment` pipeline:
  • :class:`~pipeline.RawApplyICA` preprocessing pipe to apply ICA estimated in a different branch of the pipeline.
  • :meth:`pipeline.MneExperiment.load_evoked_stc` API more closely matches :meth:`pipeline.MneExperiment.load_epochs_stc`
  • :meth:`pipeline.MneExperiment.load_neighbor_correlation`

New in 0.29

• API: Better default parameters for :func:`resample`
• Predictor-specific stopping for :func:`boosting`
• New :class:`NDVar` function :func:`correlation_coefficient`
• Plotting:
  • :ref:`general-layout-parameters` for plot size relative to screen size
  • Better plots for masked statistic maps
• :class:`~pipeline.MneExperiment` pipeline:
  • API: :meth:`pipeline.MneExperiment.make_rej` renamed to :meth:`pipeline.MneExperiment.make_epoch_selection`
  • Object-based definitions (see :ref:`experiment-class-guide`)
  • New method :meth:`pipeline.MneExperiment.plot_raw`

New in 0.28

• Transition to Python 3.6
• API changes:
  • :class:`testnd.ANOVA`: The match parameter is now determined automatically and does not need to be specified anymore in most cases.
  • :attr:`testnd.TTestOneSample.diff` renamed to :attr:`testnd.TTestOneSample.difference`.
  • :class:`plot.Histogram`: following :mod:`matplotlib`, the normed parameter was renamed to density.
  • Previously capitalized argument and attribute names Y, X and Xax are now lowercase.
  • Topomap-plot argument order changed to provide consistency between different plots.
• :class:`NDVar` and :class:`Var` support for round(x)
• :class:`~pipeline.MneExperiment` pipeline:
  • Independent measures t-test

New in 0.27

• API changes:
  • To change the parcellation of an :class:`NDVar` with source-space data, use the new function :func:`set_parc`. The :meth:`SourceSpace.set_parc` method has been removed because dimension objects should be treated as immutable, as they can be shared between different :class:`NDVar` instances. Analogously, :meth:`UTS.set_tmin` is now :func:`set_tmin`.
  • :func:`table.frequencies`: If the input y is a :class:`Var` object, the output will also be a :class:`Var` (was :class:`Factor`).
  • :meth:`NDVar.smooth`: window-based smoothing now uses a symmetric window, which can lead to slightly different results.
• :func:`concatenate`: concatenate multiple :class:`NDVar` objects to form a new dimension.
• :meth:`NDVar.ols`: regress on a dimension.
• :class:`plot.brain.SequencePlotter` to plot multiple anatomical images on one figure.
• New functions and objects:
  • :func:`complete_source_space`
  • :func:`psd_welch`
  • :func:`frequency_response`
  • :class:`test.Correlation`, :func:`test.pairwise_correlations`
  • :func:`xhemi`
• New methods:
  • :meth:`Dataset.zip`, :meth:`Dataset.tile`
  • :meth:`Factor.sort_cells`

New in 0.26

• API changes:
  • A new global :func:`configure` function replaces module-level configuration functions.
  • :class:`Dataset`: when a one-dimensional array is assigned to an unused key, the array is now automatically converted to a :class:`Var` object.
  • :attr:`SourceSpace.vertno` has been renamed to :attr:`SourceSpace.vertices`.
• Plotting:
  • The new name argument allows setting the window title without adding a title to the figure.
  • Plots that reresent time have a new method to synchronize the time axis on multiple plots: :meth:`~plot.Butterfly.link_time_axis`.
  • Plot source space time series: :func:`plot.brain.butterfly`
• ANOVAs now support mixed models with between- and within-subjects factors (see examples at :class:`test.ANOVA`).
• :mod:`load.mne`: when generating epochs from raw data, a new tstop argument allows specifying the time interval exclusive of the last sample.
• New functions:
  • :func:`table.cast_to_ndvar`
  • :func:`test.TTestIndependent`
• New methods:
  • :meth:`NDVar.log`
  • :meth:`NDVar.smooth`
• :class:`~pipeline.MneExperiment` pipeline:
  • :meth:`pipeline.MneExperiment.reset` (replacing :meth:`pipeline.MneExperiment.store_state` and :meth:`pipeline.MneExperiment.restore_state`)
  • New :attr:`pipeline.MneExperiment.auto_delete_results` attribute to control whether invalidated results are automatically deleted.
  • :attr:`pipeline.MneExperiment.screen_log_level`

New in 0.25

• Installation with conda (see :doc:`installing`) and $ eelbrain launch script (see :doc:`getting_started`).
• API:
  • :class:`NDVar` objects now inherit names through operations.
  • Assignment to a :class:`Dataset` overwrites variable .name attributes, unless the :class:`Dataset` key is a pythonified version of .name.
• GUI/plotting:
  • When using iPython 5 or later, GUI start and stop is now automatic. It is possible to revert to the old behavior with :func:`plot.configure`.
  • There are new hotkeys for most plots (see the individual plots' help for details).
  • Plots automatically rescale when the window is resized.
• :class:`MneExperiment`:
  • A new :attr:`pipeline.MneExperiment.sessions` attribute replaces defaults['experiment'], with support for multiple sessions in one experiment (see :ref:`MneExperiment-filestructure`).
  • The :attr:`pipeline.MneExperiment.epochs` parameter sel_epoch has been removed, use base instead.
  • The setting raw='clm' has been renamed to raw='raw'.
  • Custom preprocessing pipelines (see :attr:`pipeline.MneExperiment.raw`).
  • The model parameter for ANOVA tests is now optional (see :attr:`pipeline.MneExperiment.tests`).
• Deconvolution using :func:`boosting`.
• Loading and saving *.wav files (:func:`load.wav` and :func:`save.wav`).

New in 0.24

• API:
  • :class:`pipeline.MneExperiment`: For data from the NYU New York system converted with :mod:`mne` < 0.13, the :attr:`pipeline.MneExperiment.meg_system` attribute needs to be set to "KIT-157" to distinguish it from data collected with the KIT UMD system.
  • :meth:`~testnd.TTestRelated.masked_parameter_map` method of cluster-based test results: use of pmin=None is deprecated, use pmin=1 instead.
• New test: :class:`test.TTestRelated`.
• :meth:`pipeline.MneExperiment.make_report_rois` includes corrected p-values in reports for tests in more than one ROI
• :meth:`pipeline.MneExperiment.make_rej` now has a decim parameter to improve display performance.
• :class:`pipeline.MneExperiment`: BEM-solution files are now created dynamically with :mod:`mne` and are not cached any more. This can lead to small changes in results due to improved numerical precision. Delete old files to free up space with mne_experiment.rm('bem-sol-file', subject='*').
• New :meth:`pipeline.MneExperiment.make_report_coreg` method.
• New :class:`pipeline.MneExperiment`: analysis parameter :ref:`state-connectivity`
• :class:`plot.TopoButterfly`: press Shift-T for a large topo-map with sensor names.

New in 0.23

• API :func:`plot.colors_for_twoway` and :func:`plot.colors_for_categorial`: new color model, different options.
• :class:`testnd.TContrastRelated` contrasts can contain * to include the average of multiple cells.
• New :class:`NDVar` methods: :meth:`NDVar.envelope`, :meth:`NDVar.fft`.

New in 0.22

• Epoch Rejection GUI:
  • New "Tools" menu.
  • New "Info" tool to show summary info on the rejection.
  • New "Find Bad Channels" tool to automatically find bad channels.
  • Set marked channels by clicking on topo-map.
  • Faster page redraw.
• :class:`plot.Barplot` and :class:`plot.Boxplot`: new cells argument to customize the order of bars/boxes.
• :class:`pipeline.MneExperiment`: new method :meth:`pipeline.MneExperiment.show_rej_info`.
• :class:`NDVar`: new method :meth:`NDVar.label_clusters`.
• :func:`plot.configure`: option to revert to wxPython backend for :mod:`plot.brain`.

New in 0.21

• :class:`MneExperiment`:
  • New epoch parameters: trigger_shift and vars (see :attr:`pipeline.MneExperiment.epochs`).
  • :meth:`~pipeline.MneExperiment.load_selected_events`: new vardef parameter to load variables from a test definition.
  • Log files stored in the root directory.
  • Parcellations (:attr:`pipeline.MneExperiment.parcs`) based on combinations can also include split commands.
• New :class:`Factor` method: :meth:`Factor.floodfill`.
• :class:`Model` methods: :meth:`~Model.get_table` replaced with :meth:`~Model.as_table`, new :meth:`~Model.head` and :meth:`~Model.tail`.
• API: .sort_idx methods renamed to .sort_index.

New in 0.20

• :class:`pipeline.MneExperiment`: new analysis parameter select_clusters='all' to keep all clusters in cluster tests (see :ref:`state-select_clusters`).
• Use :func:`testnd.configure` to limit the number of CPUs that are used in permutation cluster tests.

New in 0.19

• Two-stage tests (see :attr:`pipeline.MneExperiment.tests`).
• Safer cache-handling. See note at :ref:`MneExperiment-intro-analysis`.
• :meth:`Dataset.head` and :meth:`Dataset.tail` methods for more efficiently inspecting partial Datasets.
• The default format for plots in reports is now SVG since they are displayed correctly in Safari 9.0. Use :func:`plot.configure` to change the default format.
• API: Improvements in :class:`plot.Topomap` with concomitant changes in the constructor signature. For examples see the meg/topographic plotting example.
• API: :class:`plot.ColorList` has a new argument called labels.
• API: :class:`testnd.ANOVA` attribute :attr:`~testnd.ANOVA.probability_maps` renamed to :attr:`~testnd.ANOVA.p` analogous to other :mod:`testnd` results.
• Rejection-GUI: The option to plot the data range only has been removed.

New in 0.18

• API: The first argument for :meth:`pipeline.MneExperiment.plot_annot` is now parc.
• API: the fill_in_missing parameter to :func:`combine` has been deprecated and replaced with a new parameter called incomplete.
• API: Several plotting functions have a new xticklabels parameter to suppress x-axis tick labels (e.g. :class:`plot.UTSStat`).
• The objects returned by :mod:`plot.brain` plotting functions now contain a :meth:`~plot._brain_object.Brain.plot_colorbar` method to create a corresponding :class:`plot.ColorBar` plot.
• New function :func:`choose` to combine data in different :class:`NDVars` on a case by case basis.
• Rejection-GUI (:func:`gui.select_epochs`): Press Shift-i when hovering over an epoch to enter channels for interpolation manually.
• :meth:`pipeline.MneExperiment.show_file_status` now shows the last modification date of each file.
• Under OS X 10.8 and newer running code under a notifier statement now automatically prevents the computer from going to sleep.

New in 0.17

• :attr:`pipeline.MneExperiment.brain_plot_defaults` can be used to customize PySurfer plots in movies and reports.
• :attr:`pipeline.MneExperiment.trigger_shift` can now also be a dictionary mapping subject name to shift value.
• The rejection GUI now allows selecting individual channels for interpolation using the 'i' key.
• Parcellations based on combinations of existing labels, as well as parcellations based on regions around points specified in MNI coordinates can now be defined in :attr:`pipeline.MneExperiment.parcs`.
• Source space :class:`NDVar` can be indexed with lists of region names, e.g., ndvar.sub(source=['cuneus-lh', 'lingual-lh']).
• API: :func:`plot.brain.bin_table` function signature changed slightly (more parameters, new hemi parameter inserted to match other functions' argument order).
• API: :func:`combine` now raises KeyError when trying to combine :class:`Dataset` objects with unequal keys; set fill_in_missing=True to reproduce previous behavior.
• API: Previously, :meth:`Var.as_factor` mapped unspecified values to str(value). Now they are mapped to ''. This also applies to :attr:`pipeline.MneExperiment.variables` entries with unspecified values.

New in 0.16

• New function for plotting a legend for annot-files: :func:`plot.brain.annot_legend` (automatically used in reports).
• Epoch definitions in :attr:`pipeline.MneExperiment.epochs` can now include a 'base' parameter, which will copy the given "base" epoch and modify it with the current definition.
• :meth:`pipeline.MneExperiment.make_mov_ttest` and :meth:`pipeline.MneExperiment.make_mov_ga_dspm` are fixed but require PySurfer 0.6.
• New function: :func:`table.melt_ndvar`.
• API: :mod:`plot.brain` function signatures changed slightly to accommodate more layout-related arguments.
• API: use :meth:`Brain.image` instead of :func:`plot.brain.image`.

New in 0.15

• The Eelbrain package on the PYPI is now compiled with Anaconda. This means that the package can now be installed into an Anaconda distribution with pip, whereas easy_install has to be used for the Canopy distribution.
• GUI :func:`gui.select_epochs`: Set marked channels through menu (View > Mark Channels)
• Datasets can be saved as tables in RTF format (:meth:`Dataset.save_rtf`).
• API :class:`plot.Timeplot`: the default spread indicator changed to SEM, and there is a new argument for timelabels.
• API: test.anova is now a function with a slightly changed signature. The old class has been renamed to :class:`test.ANOVA`.
• API: test.oneway was removed. Use :class:`test.ANOVA`.
• API: the default value of the :class:`plot.Timeplot` parameter bottom changed from 0 to None (determined by the data).
• API: :meth:`Factor.relabel` renamed to :meth:`Factor.update_labels`.
• Plotting: New option for the figure legend 'draggable' (drag the legend with the mouse pointer).

New in 0.14

• API: the :class:`plot.Topomap` argument sensors changed to sensorlabels.
• GUI: The python/Quit Eelbrain menu command now closes all windows to ensure that unsaved documents are handled properly. In order to yield to the terminal without closing windows, use the Go/Yield to Terminal command (Command-Alt-Q).
• :class:`testnd.TContrastRelated`: support for unary operation abs.

New in 0.13

• The :func:`gui.select_epochs` GUI can now also be used to set bad channels. :class:`pipeline.MneExperiment` subclasses will combine bad channel information from rejection files with bad channel information from bad channel files. Note that while bad channel files set bad channels for a given raw file globally, rejection files set bad channels only for the given epoch.
• :class:`Factor` objects can now remember a custom cell order which determines the order in tables and plots.
• The :meth:`Var.as_factor` method can now assign all unmentioned codes to a default value.
• :class:`MneExperiment`:
  • API: Subclasses should remove the subject and experiment parameters from :meth:`pipeline.MneExperiment.label_events`.
  • API: :class:`pipeline.MneExperiment` can now be imported directly from :mod:`eelbrain`.
  • API: The :attr:`pipeline.MneExperiment._defaults` attribute should be renamed to :attr:`pipeline.MneExperiment.defaults`.
  • A draft for a guide at :ref:`experiment-class-guide`.
  • Cached files are now saved in a separate folder at root/eelbrain-cache. The cache can be cleared using :meth:`pipeline.MneExperiment.clear_cache`. To preserve cached test results, move the root/test folder into the root/eelbrain-cache folder.

New in 0.12

• API: :class:`Dataset` construction changed, allows setting the number of cases in the Dataset.
• API: :class:`plot.SensorMap2d` was renamed to :class:`plot.SensorMap`.
• :class:`MneExperiment`:
  • API: The default number of samples for reports is now 10'000.
  • New epoch parameter 'n_cases': raise an error if an epoch definition does not yield expected number of trials.
  • A custom baseline period for epochs can now be specified as a parameter in the epoch definition (e.g., 'baseline': (-0.2, -0.1)). When loading data, specifying baseline=True uses the epoch's custom baseline.

New in 0.11

• :class:`MneExperiment`:
  • Change in the way the covariance matrix is defined: The epoch for the covariance matrix should be specified in MneExperiment.epochs['cov']. The regularization is no longer part of :meth:`pipeline.MneExperiment.set_inv`, but is instead set with MneExperiment.set(cov='reg') or MneExperiment.set(cov='noreg').
  • New option cov='bestreg' automatically selects the regularization parameter for each subejct.
• :meth:`Var.as_factor` allows more efficient labeling when multiple values share the same label.
• API: Previously :func:`plot.configure_backend` is now :func:`plot.configure`

New in 0.10

• Tools for generating colors for categories (see :ref:`ref-plotting`).
• Plots now all largely respect matplotlib rc-parameters (see Customizing Matplotlib).
• Fixed an issue in the :mod:`testnd` module that could affect permutation based p-values when multiprocessing was used.

New in 0.9

• :class:`Factor` API change: The rep argument was renamed to repeat.
• T-values for regression coefficients through :meth:`NDVar.ols_t`.
• :class:`pipeline.MneExperiment`: subject name patterns and eog_sns are now handled automatically.
• :class:`~plot.uts.UTSStat` and :class:`~plot.uv.Barplot` plots can use pooled error for variability estimates (on by default for related measures designs, can be turned off using the pool_error argument).
  • API: for consistency, the argument to specify the kind of error to plot changed to error in both plots.

New in 0.8

• A new GUI application controls plots as well as the epoch selection GUI (see notes in the reference sections on :ref:`ref-plotting` and :ref:`ref-guis`).
• Randomization/Monte Carlo tests now seed the random state to make results replicable.

New in 0.6

• New recipes (outdated).

New in 0.5

• The :mod:`eelbrain.lab` and :mod:`eelbrain.eellab` modules are deprecated. Everything can now me imported from :mod:`eelbrain` directly.

New in 0.4

• Optimized ANOVA evaluation, support for unbalanced fixed effects models.
• rpy2 interaction: :meth:`Dataset.from_r` to create a :class:`Dataset` from an R Data Frame, and :meth:`Dataset.to_r` to cerate an R Data Frame from a :class:`Dataset`.

New in 0.3

• Optimized clustering for cluster permutation tests.

New in 0.2

• :class:`gui.SelectEpochs` Epoch rejection GIU has a new "GA" button to plot the grand average of all accepted trials
• Cluster permutation tests in :mod:`testnd` use multiple cores; To disable multiprocessing set eelbrain._stats.testnd.multiprocessing = False.

New in 0.1.7

• :class:`gui.SelectEpochs` can now be initialized with a single :class:`mne.Epochs` instance (data needs to be preloaded).
• Parameters that take :class:`NDVar` objects now also accept :class:`mne.Epochs` and :class:`mne.fiff.Evoked` objects.

New in 0.1.5

• :py:class:`plot.topo.TopoButterfly` plot: new keyboard commands (t, left arrow, right arrow).