movement_primitives.plot.plot_distribution_in_rows

movement_primitives.plot.plot_distribution_in_rows(mean, std_dev, t=None, label=None, axes=None, std_factors=(1, 2, 3), fill_between=True, subplot_shape=None, transpose=False, axis_titles=[], **kwargs)

Plot distribution of N dimensions in N 2D subplots.

Note that you have to manually activate the legend for one plot if you need it.

Parameters:

meanarray, shape (n_steps, n_dims)

Mean in each dimension

std_devarray, shape (n_steps, n_dims)

Standard deviation in each dimension

tarray, shape (n_steps,), optional (default: step indices)

Time of each step

labelstr, optional (default: None)

Label that will appear in the legend for this trajectory

axeslist

Matplotlib axes on which the trajectory should be plotted in each dimension.

std_factorstuple, optional (default: (1, 2, 3))

Multiples of the standard deviation that will be indicates by area around the mean.

fill_betweenbool, optional (default: True)

Fill area around mean. Multiples of standard deviation will be indicated by dashed lines otherwise.

subplot_shapetuple

Number of rows and number of columns.

transposebool, optional (default: False)

Fill first column first, then second column and so on. Typically, matplotlib fills rows before columns.

axis_titleslist of str, optional (default: [‘Dimension #0’, …])

Title for each dimension of the plot.

**kwargsdict, optional

Additional arguments for the plot function.

Returns:

axeslist of matplotlib axis

Matplotlib axes