Import helper for miscellaneous PyMVPA plotting functions (mvpa2.misc.plot)
Functions
| Pioff() | Dummy function which does nothing |
| Pion() | Dummy function which does nothing |
| 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 sctructure 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, ...]) | Plot histograms of feature values for each labels. |
| 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. |
Classes
| AttributeMap([map, mapnumeric, ...]) | Map to translate literal values to numeric ones (and back). |
| ChainNode(nodes, **kwargs) | Chain of nodes. |
| NFoldPartitioner([cvtype]) | Generic N-fold data partitioner. |
| Splitter(attr[, attr_values, count, ...]) | Generator node for dataset splitting. |