I'd like to draw a bar graph with seaborn, but how can I color-coded edgecolor with pelette?

import numpy as np
import matplotlib.pyplot asplt
import pandas aspd
import seaborn as sns
import random

%matplotlib inline

df = pd.DataFrame({'E':pd.Category(['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'),
                        'F': pd.Category (['C', 'C', 'C', 'C', 'C', 'C', 'C', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D'),
                        'G': random.sample(range(30, k=16)})

sns.set_style('ticks')
sns.set_context('poster',rc={'axes.titleize':10,'axes.labelsize':10,'xtick.labelsize':10})
plt.subplot()
plt.rcParams ['figure.figsize'] = [15,15]
clrs = ['b', 'y' ]

ax=sns.barplot(x="F", y="G", hue="E", data=df, errwidth=2, capsize=0.15, errcolor='k', dodge=True, facecolor=(1,1,1,0),
               linewidth=4, edgecolor=clrs)
sns.striplot(x="F", y="G", hue="E", data=df, palette=clrs, linewidth=0, dodge=True, size=15)

ax.set_ylim ([0,10])

from matplotlib import ticker
ax.yaxis.set_major_locator(ticker.MultipleLocator(1))) 
sns.despine()
ax.legend(loc="lower left", bbox_to_anchor=(0., 1.0, 0.05), mode="expand", ncol=3)

columncounts= [30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30]
defaultizeCounts (widths, maxwidth):
    widths = np.array(widths) / float(maxwidth)
    return widths
widthbars = normaliseCounts (columncounts, 90)
for bar, newwidth in zip (ax.patches, widthbars):
    x = bar.get_x()
    width=bar.get_width()
    centre=x+width/2.

    bar.set_x (centre-newwidth/2.)
    bar.set_width(newwidth)