add_visualize_legend(ax, complexobj, max_mag)
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auto_heatmap(x, **heatmap_opts)
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Auto version of heatmap() that accepts array arguments by converting them to a Dataset first. |
auto_histogram(x, **histogram_opts)
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Auto version of histogram() that accepts array arguments by converting them to a Dataset first. |
auto_lineplot(x, y_z, **lineplot_opts)
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Auto version of lineplot() that accepts array arguments by converting them to a Dataset first. |
auto_scatter(x, y_z, **scatter_opts)
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Auto version of scatter() that accepts array arguments by converting them to a Dataset first. |
choose_squarest_grid(x)
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handle_sequence_of_arrays(f)
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Simple wrapper to handle sequence of arrays as input to e.g. visualize_tensor. |
heatmap(ds, x, y, z, **kwargs)
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From ds plot variable z as a function of x and y using a 2D heatmap. |
histogram(ds, x[, z])
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Dataset histogram. |
lineplot(ds, x, y[, z, y_err, x_err])
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From ds plot lines of y as a function of x, optionally for varying z. |
make_ax_square_after_plotted(ax)
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mpl_multi_plot(fn)
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Decorate a plotting function to plot a grid of values. |
scatter(ds, x, y[, z, y_err, x_err])
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From ds plot a scatter of y against x, optionally for varying z. |
setup_fig_ax([nrows, ncols, facecolor, ...])
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show_and_close(fn)
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to_colors(zs[, magscale, max_mag, ...])
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visualize_matrix(array[, max_mag, magscale, ...])
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Visualize array as a 2D colormapped image. |
visualize_tensor(array[, spacing_factor, ...])
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Visualize all entries of a tensor, with indices mapped into the plane and values mapped into a color wheel. |