mvpa2.misc.plot

Import helper for miscellaneous PyMVPA plotting functions (mvpa2.misc.plot)

Functions

Pioff()	Dummy function which does nothing
Pion()	Dummy function which does nothing
concat_ts_boxplot_stats(run_stats)	Helper to concatenate boxplot stats from compute_ts_boxpot_stats
get_samples_by_attr(dataset, attr, values[, ...])	Return indices of samples given a list of attributes
inverse_cmap(cmap_name)	Create a new colormap from the named colormap, where it got reversed
plot_bars(data[, labels, title, ylim, ...])	Make bar plots with automatically computed error bars.
plot_dataset_chunks(ds[, clf_labels])	Quick plot to see chunk structure in dataset with 2 features
plot_decision_boundary_2d(dataset[, clf, ...])	Plot a scatter of a classifier’s decision boundary and data points
plot_err_line(data[, x, errtype, curves, ...])	Make a line plot with errorbars on the data points.
plot_err_line_missing(data[, x, errtype, ...])	Make a line plot with errorbars on the data points.
plot_feature_hist(dataset[, xlim, noticks, ...])	This function is deprecated and will be removed.
plot_samples_distance(dataset[, sortbyattr])	Plot the euclidean distances between all samples of a dataset.
squared_euclidean_distance(data1[, data2, ...])	Compute weighted euclidean distance matrix between two datasets.
timeseries_boxplot(median[, mean, std, n, ...])	Produce a boxplot-like plot for time series data.

Classes

AttributeMap([map, mapnumeric, ...])	Map to translate literal values to numeric ones (and back).
ChainNode(nodes, \*\*kwargs)	This class allows to concatenate a list of nodes into a processing chain.
NFoldPartitioner([cvtype])	Generic N-fold data partitioner.
Splitter(attr[, attr_values, count, ...])	Generator node for dataset splitting.