Situation
I have the following pandas dataset:
|user_id|total|is_fat|
|-------|-----|------|
|1 |100 |1 |
|2 |150 |0 |
|3 |400 |1 |
|4 |500 |1 |
|5 |10 |0 |
where elements of the total are integer and elements of is_fat are string.
I denote above dataset by df
.
Then run the following code:
import seaborn as sos
sns.swarmplot(x = 'total', y ='is_fat', data = df)
Now the graph I expected looks like:
Problem However, the output graph is the following:
Why?
Search
If I convert '1' to 'fat' and '0' to 'not_fat', then I get the expected graph.
I have simulated some data and changed is_fat
to categorical as shown:
import seaborn as sns
import pandas as pd
import numpy as np
df = pd.DataFrame({"total":abs(np.random.randn(100)), "is_fat": [1,0]*50})
df.is_fat = df.is_fat.astype("category")
sns.swarmplot(x = 'total', y ='is_fat', data = df)
This produced the graph below:
I hope this helps.
对我来说,将orient="h"
作为参数添加到我的swarmplot()
调用中解决了这个问题(请参阅 Seaborn 文档以供参考)。
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