Using regplot with scatter=False. Not working as intended?

Hi, I’m trying to draw a regression plot showing just the regression line and confidence interval bands, without the points in the scatter plot, though running the following does not seem to work as I expected.

import seaborn as sb
x = np.linspace(0, 10, 100)
e = np.random.normal(size=100)
y = 1 + 0.5*x + 2*e

g = sb.regplot(x, y, scatter=False)
g.set(xlim=(min(x), max(x)), ylim=(-2, 8))

The following code produces a band that only extends for a small portion of the x and y range.

I can work around it by explicitly setting the point colour to white, but I feel there should be a better way to do it.

g = sb.regplot(x, y, scatter_kws={"color": "white"})
g.set(xlim=(min(x), max(x)), ylim=(-2, 8))

Have I missed out a parameter I need to do this, or is this a bug?

[mwaskom]

sns.regplot(x="total_bill", y="tip", data=tips, scatter_kws=dict(alpha=0))

[pkch]

tips = sns.load_dataset("tips")

# everything is fine
sns.regplot(x="total_bill", y="tip", data=tips)

plt.figure()
# the regression line extends only from 18.5 to 21 on the x axis, as described by OP
sns.regplot(x="total_bill", y="tip", data=tips, scatter=False)

# the fix as explained above by @mwaskom works perfectly
# except we have to manually calculate xlim values :(
f, ax= plt.subplots()
ax.set(xlim=(min(tips['total_bill']), max(tips['total_bill'])))
sns.regplot(x="total_bill", y="tip", data=tips, scatter=False)

plt.figure()
# I thought this would also show the full regression line as suggested above but it didn't
sns.regplot(x="total_bill", y="tip", data=tips, scatter=False, truncate=True)