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Enable setting zorder of each bivariate distribution in kernel density plots #207

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merged 1 commit into from
Oct 31, 2024
Merged

Enable setting zorder of each bivariate distribution in kernel density plots #207

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7 changes: 4 additions & 3 deletions biosteam/plots/plots.py
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Original file line number Diff line number Diff line change
Expand Up @@ -853,7 +853,7 @@ def plot_kde(x, y, nbins=100, ax=None, fig=None,
xtick0=True, ytick0=True, xtickf=True, ytickf=True,
xbox=None, ybox=None, xbox_kwargs=None, ybox_kwargs=None,
aspect_ratio=1.25, cmaps=None, xbox_width=None,
ybox_width=None, **kwargs):
ybox_width=None, zorders=None, **kwargs):
axis_not_given = ax is None
xs = x if isinstance(x, (tuple, list)) else (x,)
ys = y if isinstance(y, (tuple, list)) else (y,)
Expand Down Expand Up @@ -892,7 +892,8 @@ def plot_kde(x, y, nbins=100, ax=None, fig=None,
else:
yboxes = ybox
if cmaps is None: cmaps = len(xs) * [None]
for x, y, cmap, xbox, ybox in zip(xs, ys, cmaps, xboxes, yboxes):
if zorders is None: zorders = len(xs) * [5]
for x, y, cmap, zorder, xbox, ybox in zip(xs, ys, cmaps, zorders, xboxes, yboxes):
# Evaluate a gaussian kde on a regular grid of nbins x nbins over data extents
k = kde.gaussian_kde([x, y])
z = k(np.vstack([x, y]))
Expand All @@ -906,7 +907,7 @@ def plot_kde(x, y, nbins=100, ax=None, fig=None,
# 2D Density with shading
plt.sca(ax)

plt.scatter(x, y, c=z, s=1., cmap=cmap, **kwargs)
plt.scatter(x, y, c=z, s=1., cmap=cmap, zorder=zorder, **kwargs)
if xbox:
plt.sca(xbox.axis)
plot_montecarlo(x, xbox.light, xbox.dark, positions=(xbox.get_position(-1),), vertical=False, outliers=False, width=xbox_width, bounds=True)
Expand Down
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