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The Sankey class
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Demonstrate the Sankey class by producing three basic diagrams.
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.sankey import Sankey
###############################################################################
# Example 1 -- Mostly defaults
# This demonstrates how to create a simple diagram by implicitly calling the
# Sankey.add() method and by appending finish() to the call to the class.
Sankey(flows=[0.25, 0.15, 0.60, -0.20, -0.15, -0.05, -0.50, -0.10],
       labels=['', '', '', 'First', 'Second', 'Third', 'Fourth', 'Fifth'],
       orientations=[-1, 1, 0, 1, 1, 1, 0, -1]).finish()
plt.title("The default settings produce a diagram like this.")
###############################################################################
# 1. Axes weren't provided when Sankey() was instantiated, so they were
#    created automatically.
# 2. The scale argument wasn't necessary since the data was already
#    normalized.
# 3. By default, the lengths of the paths are justified.
###############################################################################
# Example 2
# This demonstrates:
# 1. Setting one path longer than the others
# 2. Placing a label in the middle of the diagram
# 3. Using the scale argument to normalize the flows
# 4. Implicitly passing keyword arguments to PathPatch()
# 5. Changing the angle of the arrow heads
# 6. Changing the offset between the tips of the paths and their labels
# 7. Formatting the numbers in the path labels and the associated unit
# 8. Changing the appearance of the patch and the labels after the figure is
#    created
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
                     title="Flow Diagram of a Widget")
sankey = Sankey(ax=ax, scale=0.01, offset=0.2, head_angle=180,
                format='%.0f', unit='%')
sankey.add(flows=[25, 0, 60, -10, -20, -5, -15, -10, -40],
           labels=['', '', '', 'First', 'Second', 'Third', 'Fourth',
                   'Fifth', 'Hurray!'],
           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0],
           pathlengths=[0.25, 0.25, 0.25, 0.25, 0.25, 0.6, 0.25, 0.25,
           patchlabel="Widget\nA")  # Arguments to matplotlib.patches.PathPatch()
diagrams = sankey.finish()
diagrams[0].texts[-1].set_color('r')
diagrams[0].text.set_fontweight('bold')
###############################################################################
# 1. Since the sum of the flows is nonzero, the width of the trunk isn't
#    uniform.  If verbose.level is helpful (in matplotlibrc), a message is
#    given in the terminal window.
# 2. The second flow doesn't appear because its value is zero.  Again, if
#    verbose.level is helpful, a message is given in the terminal window.
###############################################################################
# Example 3
# This demonstrates:
# 1. Connecting two systems
# 2. Turning off the labels of the quantities
# 3. Adding a legend
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[], title="Two Systems")
flows = [0.25, 0.15, 0.60, -0.10, -0.05, -0.25, -0.15, -0.10, -0.35]
sankey = Sankey(ax=ax, unit=None)
sankey.add(flows=flows, label='one',
           orientations=[-1, 1, 0, 1, 1, 1, -1, -1, 0])
sankey.add(flows=[-0.25, 0.15, 0.1], label='two',
           orientations=[-1, -1, -1], prior=0, connect=(0, 0))
diagrams = sankey.finish()
diagrams[-1].patch.set_hatch('/')
plt.legend(loc='best')
###############################################################################
# Notice that only one connection is specified, but the systems form a
# circuit since: (1) the lengths of the paths are justified and (2) the
# orientation and ordering of the flows is mirrored.
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