def _set_limits_matplotlib(
axes: Axes,
limits: types_limits,
set_axes_equal: bool = False,
):
"""Set the limits of an axes object.
Parameters
----------
axes :
The axes object
limits :
Each tuple marks lower and upper boundary of the x, y and z axis. If only a
single tuple is passed, the boundaries are used for all axis. If `None`
is provided, the axis are adjusted to be of equal length.
set_axes_equal :
(matplotlib only) If `True`, all axes are adjusted to cover an equally large
range of value. That doesn't mean, that the limits are identical
"""
if limits is not None:
if isinstance(limits, Tuple):
limits = [limits]
if len(limits) == 1:
limits = [limits[0] for _ in range(3)]
axes.set_xlim(limits[0])
axes.set_ylim(limits[1])
axes.set_zlim(limits[2])
elif set_axes_equal:
axes_equal(axes)
def show_rdm_panel(
rdm: rsatoolbox.rdm.RDMs,
ax: Axes = None,
cmap: Union[str, matplotlib.colors.Colormap] = None,
nanmask: npt.ArrayLike = None,
rdm_descriptor: str = None,
gridlines: npt.ArrayLike = None,
vmin: float = None,
vmax: float = None,
) -> matplotlib.image.AxesImage:
"""show_rdm_panel. Add RDM heatmap to the axis ax.
Args:
rdm (rsatoolbox.rdm.RDMs): RDMs object to be plotted (n_rdm must be 1).
ax (matplotlib.axes._axes.Axes): Matplotlib axis handle. plt.gca() by default.
cmap (Union[str, matplotlib.colors.Colormap]): colormap to be used (by
plt.imshow internally). By default we use rdm_colormap.
nanmask (npt.ArrayLike): boolean mask defining RDM elements to suppress
(by default, the diagonals).
rdm_descriptor (str): Key for rdm_descriptor to use as panel title, or
str for direct labeling.
gridlines (npt.ArrayLike): Set to add gridlines at these positions.
vmin (float): Minimum intensity for colorbar mapping. matplotlib imshow
argument.
vmax (float): Maximum intensity for colorbar mapping. matplotlib imshow
argument.
Returns:
matplotlib.image.AxesImage: Matplotlib handle.
"""
if rdm.n_rdm > 1:
raise ValueError(
"expected single rdm - use show_rdm for multi-panel figures")
if ax is None:
ax = plt.gca()
if cmap is None:
cmap = rdm_colormap()
if nanmask is None:
nanmask = np.eye(rdm.n_cond, dtype=bool)
if not np.any(gridlines):
gridlines = []
rdmat = rdm.get_matrices()[0, :, :]
if np.any(nanmask):
rdmat[nanmask] = np.nan
image = ax.imshow(rdmat, cmap=cmap, vmin=vmin, vmax=vmax)
ax.set_xlim(-0.5, rdm.n_cond - 0.5)
ax.set_ylim(rdm.n_cond - 0.5, -0.5)
ax.xaxis.set_ticks(gridlines)
ax.yaxis.set_ticks(gridlines)
ax.xaxis.set_ticklabels([])
ax.yaxis.set_ticklabels([])
ax.xaxis.set_ticks(np.arange(rdm.n_cond), minor=True)
ax.yaxis.set_ticks(np.arange(rdm.n_cond), minor=True)
# hide minor ticks by default
ax.xaxis.set_tick_params(length=0, which="minor")
ax.yaxis.set_tick_params(length=0, which="minor")
if rdm_descriptor in rdm.rdm_descriptors:
ax.set_title(rdm.rdm_descriptors[rdm_descriptor][0])
else:
ax.set_title(rdm_descriptor)
return image