Seaborn：如何用条形图中的X轴替换索引？(Seaborn: How to replace index with text in X-Axis in barplot?)

 我有一个带有category列的数据集，它有表示类标签的整数值，即0,1,2 ...... 
 
 我有单独的文件，其中包含该类别的文本标签，即对于索引0，它包含classA ，依此类推。 我想用下面的代码用seaborn绘制一个条形图。 
 
import seaborn as sns
train_df = pd.read_csv("unclean_text.csv", sep='\t')
label_text = pd.read_csv("labels.csv")
is_dup = train_df['category'].value_counts()

plt.figure(figsize=(8,4))
sns.barplot(is_dup.index, is_dup.values, alpha=0.8, color=color[1])
plt.show()
 
 它正确地绘制了每个班级频率的条形图。 
 
  
 
 但是我想要x轴上的文本标签而不是label_text的索引值， label_text也是长度为19（0-18）的列向量。 怎么做？ 

I have a dataset with category column which has integer values representing class label i.e 0,1,2.....
 
I have separate file which contains text labels for that category i.e against index 0, it contains classA and so on. I want to plot a barplot using seaborn with following code.
 
import seaborn as sns
train_df = pd.read_csv("unclean_text.csv", sep='\t')
label_text = pd.read_csv("labels.csv")
is_dup = train_df['category'].value_counts()

plt.figure(figsize=(8,4))
sns.barplot(is_dup.index, is_dup.values, alpha=0.8, color=color[1])
plt.show()
 
It correctly plots the barplot for frequency of each class.
 
 
But I want text labels on the x-axis instead of index values that are in label_text, which is also a column vector of length 19 (0-18). How to do it?

原文：https://stackoverflow.com/questions/45729609