Module qose.plot_utils
Plot utils
Code to plot the search tree.
Expand source code
"""
Plot utils
************
Code to plot the search tree.
"""
import matplotlib.pyplot as plt
import networkx as nx
from networkx.drawing.nx_agraph import graphviz_layout
def plot_tree(G, **kwargs):
"""
Args:
G:
**kwargs:
Returns:
"""
labels = kwargs.pop('labels', True)
fig, axs = plt.subplots(1, 1)
fig.set_size_inches(16, 8)
pos = graphviz_layout(G, prog='dot')
colors = nx.get_node_attributes(G, 'W')
node_color = list(colors.values())
vmin = min(node_color)
vmax = max(node_color)
nx.draw(G, pos=pos, arrows=True, with_labels=labels, cmap='OrRd', node_color=node_color, linewidths=1,
vmin=vmin, vmax=vmax, ax=axs)
axs.collections[0].set_edgecolor("#000000")
sm = plt.cm.ScalarMappable(cmap='OrRd', norm=plt.Normalize(vmin=vmin, vmax=vmax))
cb = plt.colorbar(sm)
cb.set_label('W-cost')
axs.set_title('Tree of costs')
plt.show()
Functions
def plot_tree(G, **kwargs)
-
Args
G
**kwargs
Returns:
Expand source code
def plot_tree(G, **kwargs): """ Args: G: **kwargs: Returns: """ labels = kwargs.pop('labels', True) fig, axs = plt.subplots(1, 1) fig.set_size_inches(16, 8) pos = graphviz_layout(G, prog='dot') colors = nx.get_node_attributes(G, 'W') node_color = list(colors.values()) vmin = min(node_color) vmax = max(node_color) nx.draw(G, pos=pos, arrows=True, with_labels=labels, cmap='OrRd', node_color=node_color, linewidths=1, vmin=vmin, vmax=vmax, ax=axs) axs.collections[0].set_edgecolor("#000000") sm = plt.cm.ScalarMappable(cmap='OrRd', norm=plt.Normalize(vmin=vmin, vmax=vmax)) cb = plt.colorbar(sm) cb.set_label('W-cost') axs.set_title('Tree of costs') plt.show()