11.1.2.1. astroML.plotting.MultiAxes¶
-
class
astroML.plotting.MultiAxes(ndim, inner_labels=False, fig=None, left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)[source]¶ Visualize Multiple-dimensional data
This class enables the visualization of multi-dimensional data, using a triangular grid of 2D plots.
- Parameters
- ndiminteger
Number of data dimensions
- inner_labelsbool
If true, then label the inner axes. If false, then only the outer axes will be labeled
- figmatplotlib.Figure
if specified, draw the plot on this figure. Otherwise, use the current active figure.
- left, bottom, right, top, wspace, hspacefloats
these parameters control the layout of the plots. They behave have an identical effect as the arguments to plt.subplots_adjust. If not specified, default values from the rc file will be used.
Examples
A grid of scatter plots can be created as follows:
x = np.random.normal((4, 1000)) R = np.random.random((4, 4)) # projection matrix x = np.dot(R, x) ax = MultiAxes(4) ax.scatter(x) ax.set_labels(['x1', 'x2', 'x3', 'x4'])
Alternatively, the scatter plot can be visualized as a density:
ax = MultiAxes(4) ax.density(x, bins=[20, 20, 20, 20])
Methods
density(data[, bins])Density plot of data
plot(data, *args, **kwargs)Plot data
scatter(data, *args, **kwargs)Scatter plot data
set_formatters(formatters)Set the tick formatters for the outer edge of plots
set_labels(labels)Set the axes labels
set_limits(limits)Set the axes limits
set_locators(locators)Set the tick locators for the plots