Plotting lines with distinct colors can be achieved through various methods. The preferred approach depends on the number of line segments to be rendered.
For a small number of line segments (e.g., less than 10), the following approach suffices:
<code class="python">import numpy as np
import matplotlib.pyplot as plt
# Define line segment data
xy = (np.random.random((10, 2)) - 0.5).cumsum(axis=0)
# Create figure and axes
fig, ax = plt.subplots()
# Iterate through line segments
for start, stop in zip(xy[:-1], xy[1:]):
x, y = zip(start, stop)
ax.plot(x, y, color=np.random.rand(3))
plt.show()</code>For a large number of line segments (e.g., over a thousand), LineCollections provide a more efficient solution:
<code class="python">import numpy as np import matplotlib.pyplot as plt from matplotlib.collections import LineCollection # Define line segment data xy = (np.random.random((1000, 2)) - 0.5).cumsum(axis=0) # Reshape data into segments xy = xy.reshape(-1, 1, 2) segments = np.hstack([xy[:-1], xy[1:]]) # Create figure and axes fig, ax = plt.subplots() # Create LineCollection with random colors coll = LineCollection(segments, cmap=plt.cm.gist_ncar) coll.set_array(np.random.random(xy.shape[0])) # Add LineCollection to axes ax.add_collection(coll) ax.autoscale_view() plt.show()</code>
Both methods rely on random color selection from the "gist_ncar" coloramp. For a larger selection, refer to: http://matplotlib.org/examples/color/colormaps_reference.html
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