How to prevent an overlap in barplot using seaborn?
<pre><code>month   cate_cnt1_members   cate_cnt2_members   cate_cnt3_members   cate_cnt4_members   cate_cnt5_members   cate_cnt6_members   cate_cnt7_members   cate_cnt8_members   cate_cnt9_members   cate_cnt10_members  cate_cnt11_members  cate_cnt12_members  cate_cnt13_members  cate_cnt14_members
201501  93.525692   5.989799    0.455098    0.027863    0.001548    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201502  90.515995   8.396707    0.971026    0.107892    0.008380    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201503  82.525162   14.066414   2.836065    0.505229    0.061750    0.005380    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201504  75.546295   18.279664   4.884050    1.102780    0.172282    0.013621    0.001199    0.000109    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201505  71.142107   20.954861   6.278794    1.401423    0.206386    0.015837    0.000593    0.000000    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201506  63.783161   23.386509   9.241094    2.914457    0.601408    0.067921    0.005178    0.000273    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
201507  62.361179   23.364693   9.888232    3.445630    0.812055    0.116408    0.010563    0.001240    0.000000    0.000000    0.000000    0.000000    0.000000    0.0
</code></pre>

<p>The pandas dataframe  is showed above, which shows the different category's percentages that vary from month to month. I want to use seaborn to get a bar plot whose bar consists of the 14 category members' percentage from column 2 to the end. 
Here is my code:</p>

<pre><code>flatui = ["#9b59b6", "#3498db", "#95a5a6", "#e74c3c", "#34495e", "#2ecc71"]
f, ax = plt.subplots(figsize=(6, 15))
sns.barplot(x = df['month'], y = df['cate_cnt1_members'], label='cate_cnt1_members',   color=sns.color_palette("Set2", 10)[0])
sns.barplot(x = df['month'], y = df['cate_cnt2_members'], label='cate_cnt2_members',   color=sns.color_palette("Set2", 10)[1])
sns.barplot(x = df['month'], y = df['cate_cnt3_members'], label='cate_cnt3_members',   color=sns.color_palette("Set2", 10)[2])
sns.barplot(x = df['month'], y = df['cate_cnt4_members'], label='cate_cnt4_members',   color=sns.color_palette("Set2", 10)[3])
sns.barplot(x = df['month'], y = df['cate_cnt5_members'], label='cate_cnt5_members',   color=sns.color_palette("Set2", 10)[4])
sns.barplot(x = df['month'], y = df['cate_cnt6_members'], label='cate_cnt6_members',   color=sns.color_palette("Set2", 10)[5])
sns.barplot(x = df['month'], y = df['cate_cnt7_members'], label='cate_cnt7_members',   color=sns.color_palette("Set2", 10)[6])
sns.barplot(x = df['month'], y = df['cate_cnt8_members'], label='cate_cnt8_members',   color=sns.color_palette("Set2", 10)[7])
sns.barplot(x = df['month'], y = df['cate_cnt9_members'], label='cate_cnt9_members',   color=sns.color_palette("Set2", 10)[8])
sns.barplot(x = df['month'], y = df['cate_cnt10_members'], label='cate_cnt10_members', color=sns.color_palette("Set2", 10)[9])
sns.barplot(x = df['month'], y = df['cate_cnt11_members'], label='cate_cnt11_members', color=sns.color_palette("Paired")[0])
sns.barplot(x = df['month'], y = df['cate_cnt12_members'], label='cate_cnt12_members', color=sns.color_palette("Paired")[1])
sns.barplot(x = df['month'], y = df['cate_cnt13_members'], label='cate_cnt13_members', color=sns.color_palette("Paired")[4])
sns.barplot(x = df['month'], y = df['cate_cnt14_members'], label='cate_cnt14_members', color=sns.color_palette(flatui)[0])
plt.ylabel("percentage of category scope count")
plt.xlabel(" Month")
ax.legend(ncol=7, loc="topper middle", frameon=True)
sns.despine(left=True, bottom=True)
</code></pre>

<p>And the result is below. But I don't want them to overlap with each other. I want the 14 components sum as 100 and fill the 100 fully. So how can I achieve this?
<a href="https://i.stack.imgur.com/fb2Jr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/fb2Jr.png" alt="enter image description here"></a></p>