reduce line width of seaborn pointplot

import seaborn as sns
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
g = sns.factorplot(x="time", y="pulse", hue="kind", data=exercise)

In the plot above, if I specify scale as 0.5, it reduces line width but not width of confidence interval lines. Is there a way to reduce width of confidence interval lines?

You may get linewidth of first line and set it for all other lines of factor plot:

import seaborn as sns
import matplotlib.pylab as plt
sns.set(style="ticks")
exercise = sns.load_dataset("exercise")
g = sns.factorplot(x="time", y="pulse", hue="kind", data=exercise, scale=.5)
lw = g.ax.lines[0].get_linewidth() # lw of first line
plt.setp(g.ax.lines,linewidth=lw)  # set lw for all lines of g axes

plt.show()

And you can set line width for every line in a cycle:

for l in g.ax.lines:
    print(l.get_linewidth())
    plt.setp(l,linewidth=5)

Output:

1.575
3.15
3.15
3.15
1.575
3.15
3.15
3.15
1.575
3.15
3.15
3.15

Bold lines are according to confidential intervals.

After set line width to 5 all lines became the same: