Plotting update

.readthedocs.yaml

@@ -14,3 +14,5 @@ python:
       path: .
       extra_requirements:
         - doc
+formats:
+  - pdf

src/pycea/pl/_utils.py

@@ -13,7 +13,7 @@
 import numpy as np
 from scanpy.plotting import palettes
 
-from pycea.utils import get_leaves, get_root
+from pycea.utils import check_tree_has_key, get_leaves, get_root
 
 
 def layout_nodes_and_branches(
@@ -117,13 +117,12 @@ def layout_trees(
     leaves = []
     depths = []
     for _, tree in trees.items():
+        check_tree_has_key(tree, depth_key)
         tree_leaves = get_leaves(tree)
         leaves.extend(tree_leaves)
         depths.extend(tree.nodes[leaf].get(depth_key) for leaf in tree_leaves)
         if len(depths) != len(leaves):
-            raise ValueError(
-                f"Tree does not have {depth_key} attribute. You can run `pycea.pp.add_depth` to add depth attribute."
-            )
+            raise ValueError(f"Every node in the tree must have a {depth_key} attribute. ")
     max_depth = max(depths)
     n_leaves = len(leaves)
     leaf_coords = {}

src/pycea/pl/plot_tree.py

@@ -79,9 +79,9 @@ def branches(
     """  # noqa: D205
     # Setup
     tree_keys = tree
-    if not ax:
-        ax = plt.gca()
-    if (ax.name == "polar" and not polar) or (ax.name != "polar" and polar):
+    if ax is None:
+        fig, ax = plt.subplots(subplot_kw={"projection": "polar"} if polar else None)
+    elif (ax.name == "polar" and not polar) or (ax.name != "polar" and polar):
         warnings.warn("Polar setting of axes does not match requested type. Creating new axes.", stacklevel=2)
         fig, ax = plt.subplots(subplot_kw={"projection": "polar"} if polar else None)
     kwargs = kwargs if kwargs else {}
@@ -492,7 +492,7 @@ def tree(
     tdata: td.TreeData,
     keys: str | Sequence[str] = None,
     tree: str | Sequence[str] | None = None,
-    nodes: str | Sequence[str] = None,
+    nodes: str | Sequence[str] | None = None,
     polar: bool = False,
     extend_branches: bool = False,
     angled_branches: bool = False,
@@ -520,7 +520,7 @@ def tree(
     tree
         The `obst` key or keys of the trees to plot. If `None`, all trees are plotted.
     nodes
-        Either "all", "leaves", "internal", or a list of nodes to plot.
+        Either "all", "leaves", "internal", or a list of nodes to plot. Defaults to "internal" if node color, style, or size is set.
     polar
         Whether to plot the tree in polar coordinates.
     extend_branches
@@ -562,6 +562,8 @@ def tree(
         ax=ax,
     )
     # Plot nodes
+    if nodes is None and (node_color != "black" or node_style != "o" or node_size != 10):
+        nodes = "internal"
     if nodes:
         ax = _nodes(
             tdata,

src/pycea/tl/_utils.py

@@ -62,14 +62,6 @@ def _format_as_list(obj):
     return obj
 
 
-def _check_tree_overlap(tdata, tree_keys):
-    """If overlap is allowed there can only be one tree"""
-    n_trees = len(tdata.obst.keys())
-    if (n_trees > 1) and tdata.allow_overlap and len(tree_keys) != 1:
-        raise ValueError("Must specify a singe tree if tdata.allow_overlap is True.")
-    return
-
-
 def _set_distances_and_connectivities(tdata, key_added, dist, connect, update):
     """Set distances and connectivities in tdata"""
     dist_key = f"{key_added}_distances"

src/pycea/tl/tree_distance.py

@@ -15,7 +15,6 @@
 from ._metrics import _get_tree_metric, _TreeMetric
 from ._utils import (
     _check_previous_params,
-    _check_tree_overlap,
     _csr_data_mask,
     _format_keys,
     _set_distances_and_connectivities,
@@ -168,7 +167,6 @@ def tree_distance(
     trees = get_trees(tdata, tree_keys)
     metric_fn = _get_tree_metric(metric)
     single_obs = False
-    _check_tree_overlap(tdata, tree_keys)
     if update:
         _check_previous_params(tdata, {"metric": metric}, key_added, ["neighbors", "distances"])
     # Get set of pairs for each tree

src/pycea/tl/tree_neighbors.py

@@ -14,7 +14,6 @@
 from ._utils import (
     _assert_param_xor,
     _check_previous_params,
-    _check_tree_overlap,
     _csr_data_mask,
     _set_distances_and_connectivities,
     _set_random_state,
@@ -50,7 +49,7 @@ def _bfs_by_distance(tree, start_node, n_neighbors, max_dist, metric, depth_key)
                         if len(neighbors) >= n_neighbors:
                             break
                     heapq.heappush(queue, (child_distance, child))
-                    visited.add(child)
+                visited.add(child)
         # Add parents to queue
         for parent in nx.ancestors(tree, node):
             if parent not in visited:
@@ -60,7 +59,7 @@ def _bfs_by_distance(tree, start_node, n_neighbors, max_dist, metric, depth_key)
                     parent_distance = tree.nodes[parent][depth_key]
                 if parent_distance <= max_dist:
                     heapq.heappush(queue, (parent_distance, parent))
-                    visited.add(parent)
+                visited.add(parent)
     return neighbors, neighbor_distances
 
 
@@ -143,7 +142,6 @@ def tree_neighbors(
     _assert_param_xor({"n_neighbors": n_neighbors, "max_dist": max_dist})
     _ = _get_tree_metric(metric)
     tree_keys = tree
-    _check_tree_overlap(tdata, tree_keys)
     if update:
         _check_previous_params(tdata, {"metric": metric}, key_added, ["neighbors", "distances"])
     # Neighbors of a single leaf

src/pycea/utils.py

@@ -37,7 +37,7 @@ def check_tree_has_key(tree: nx.DiGraph, key: str):
     sampled_nodes = random.sample(list(tree.nodes), min(10, len(tree.nodes)))
     for node in sampled_nodes:
         if key not in tree.nodes[node]:
-            message = f"Tree does not have {key} attribute."
+            message = f"Tree nodes to not have {key} attribute."
             if key == "depth":
                 message += " You can run `pycea.pp.add_depth` to add depth attribute."
             raise ValueError(message)