两个海生的，共用一个轴的countplots

Question

我希望使用seaborn countplots来显示一个轴上两个不同数据列表的频率分布。我遇到的问题是两个列表都包含唯一的元素，所以我不能简单地用大列表的轴来绘制一个列表。在

我尝试过使用python的count对象，但是由于python字典是无序的，因此图形的轴与图形上显示的计数不匹配。在

import seaborn as sns


first_list = ["a", "b", "c", "d", "e", "a", "b", "c", "a", "b","n"]
second_list = ["a","b","c","d", "e", "e","d","c","e","q"]


sns.countplot(first_list, color="blue", alpha=.5)
sns.countplot(second_list, color="red",alpha=.5)


plt.show()

上面的代码应该显示一个图表，其中包括唯一值“n”和“q”的频率，但显示的图形轴只包含第二个列表中的值。在

Answer 1

我认为最好是把你的数据组合成一个数据帧，然后传递给seaborn，而不是把两个图放在一起。我打过电话sns.barplot公司而不是使用计数图在原始原始值上。在

#convert the lists to series and get the counts
first_list = pd.Series(
    ["a", "b", "c", "d", "e", "a", "b", "c", "a", "b","n"]
).value_counts()

second_list = pd.Series(
    ["a","b","c","d", "e", "e","d","c","e","q"]
).value_counts()

#get the counts as a dataframe
df=pd.concat([first_list,second_list],axis=1)
df.columns=['first','second']

# melt the data frame so it has a "tidy" data format
df=df.reset_index().melt(id_vars=['index'])

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