Issue
When I run the following code, I get 4 different histograms separated by groups. How can I achieve the same type of visualization with 4 different sns.distplot()
also separated by their groups?
df = pd.DataFrame({
"group": [1, 1, 2, 2, 3, 3, 4, 4],
"similarity": [0.1, 0.2, 0.35, 0.6, 0.7, 0.25, 0.15, 0.55]
})
df['similarity'].hist(by=df['group'])
Solution
You can use FacetGrid
from seaborn:
import seaborn as sns
g = sns.FacetGrid(data=df, col='group', col_wrap=2)
g.map(sns.histplot, 'similarity')
Output:
Answered By - Quang Hoang
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.