What I'm trying to achieve: a plot with two axhline horizontal lines, with the area between them shaded.
The best so far:
ax.hline(y1, color=c)
ax.hline(y2, color=c)
ax.fill_between(ax.get_xlim(), y1, y2, color=c, alpha=0.5)
The problem is that this leaves a small amount of blank space to the left and right of the shaded area.
I understand that this is likely due to the plot creating a margin around the used/data area of the plot. So, how do I get the fill_between
to actually cover the entire plot without matplotlib rescaling the x-axis after drawing? Is there an alternative to get_xlim
that would give me appropriate limits of the plot, or an alternative to fill_between
?
This is the current result:
Note that this is part of a larger grid layout with several plots, but they all leave a similar margin around these shaded areas.
fill_between() is used to fill area between two horizontal curves. Two points (x, y1) and (x, y2) define the curves. this creates one or more polygons describing the filled areas. The 'where' parameter can be used to selectively fill some areas.
colors() This function is used to specify the color.
Not strictly speaking an answer to the question of getting the outer limits, but it does solve the problem. Instead of using fill_between
, I should have used:
ax.axhspan(y1, y2, facecolor=c, alpha=0.5)
Result:
ax.get_xlim()
does return the limits of the axis, not that of the data:
Axes.get_xlim()
Returns the current x-axis limits as the tuple (left, right).
But Matplotlib simply rescales the x-axis after drawing the fill_between
:
import matplotlib.pylab as pl
import numpy as np
pl.figure()
ax=pl.subplot(111)
pl.plot(np.random.random(10))
print(ax.get_xlim())
pl.fill_between(ax.get_xlim(), 0.5, 1)
print(ax.get_xlim())
This results in:
(-0.45000000000000001, 9.4499999999999993)
(-0.94499999999999995, 9.9449999999999985)
If you don't want to manually set the x-limits, you could use something like:
import matplotlib.pylab as pl
import numpy as np
pl.figure()
ax=pl.subplot(111)
pl.plot(np.random.random(10))
xlim = ax.get_xlim()
pl.fill_between(xlim, 0.5, 1)
ax.set_xlim(xlim)
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