Is it possible to color axis spine with multiple colors using matplotlib in python?
Desired output style:
Here is a slightly different solution. If you don't want to recolor the complete axis, you can use zorder
to make sure the colored line segments are visible on top of the original axis.
After drawing the main plot:
zorder
should be high enough to put the new line in front of the axesplt.autoscale(False)
before drawing the colored axes)from matplotlib import pyplot as plt
import numpy as np
x = np.linspace(0, 20, 100)
for i in range(10):
plt.plot(x, np.sin(x*(1-i/50)), c=plt.cm.plasma(i/12))
xlims = plt.xlim()
ylims = plt.ylim()
plt.hlines(ylims[0], 0, 10, color='limegreen', lw=1, zorder=4, clip_on=False)
plt.hlines(ylims[0], 10, 20, color='crimson', lw=1, zorder=4, clip_on=False)
plt.vlines(xlims[0], -1, 0, color='limegreen', lw=1, zorder=4, clip_on=False)
plt.vlines(xlims[0], 0, 1, color='crimson', lw=1, zorder=4, clip_on=False)
plt.xlim(xlims)
plt.ylim(ylims)
plt.show()
To highlight an area on the x-axis, also axvline
or axvspan
can be interesting. An example:
from matplotlib import pyplot as plt
import numpy as np
x = np.linspace(0, 25, 100)
for i in range(10):
plt.plot(x, np.sin(x)*(1-i/20), c=plt.cm.plasma(i/12))
plt.axvspan(10, 20, color='paleturquoise', alpha=0.5)
plt.show()
You can use a LineCollection
to create a multicolored line. You can then use the xaxis-transform to keep it fixed to the xaxis, independent of the y-limits. Setting the actual spine invisible and turning clip_on
off makes the LineCollection look like the axis spine.
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
import numpy as np
fig, ax = plt.subplots()
colors=["b","r","lightgreen","gold"]
x=[0,.25,.5,.75,1]
y=[0,0,0,0,0]
points = np.array([x, y]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
lc = LineCollection(segments,colors=colors, linewidth=2,
transform=ax.get_xaxis_transform(), clip_on=False )
ax.add_collection(lc)
ax.spines["bottom"].set_visible(False)
ax.set_xticks(x)
plt.show()