Seaborn scatterplot size and jitter

Question

I have the following code for a scatter graph

dimens = (12, 10)
fig, ax = plt.subplots(figsize=dimens)
sns.scatterplot(data = information, x = 'latitude', y = 'longitude', hue="genre", s=200,
                x_jitter=4, y_jitter=4, ax=ax)

No matter what I change the jitter to, the plots still remain very close. Whats wrong with it?

Example dataframe:

 store      longitude       latitude      genre
mcdonalds    140.232323      40.434343     all
kfc          140.232323      40.434343     chicken
burgerking   138.434343      35.545433     burger
fiveguys     137.323984      36.543322     burger

please share some data so that we can try it out by ourselves. — ibarrond
– ibarrond, Commented Oct 27, 2020 at 11:06

StupidWolf · Accepted Answer · 2020-10-27 11:59:49Z

19

In the help page, it writes:

{x,y}_jitterbooleans or floats Currently non-functional

You can either add a new column or do it on the fly:

import seaborn as sns
import pandas as pd
import numpy as np

information = pd.DataFrame({'store':['mcdonalds','kfc','burgerking','fiveguys'],
                   'longitude':[140.232323,140.232323,138.434343,137.323984],
                   'latitude':[40.434343,40.434343,35.545433,36.543322],
                   'genre':['all','chicken','burger','burger']})

def jitter(values,j):
    return values + np.random.normal(j,0.1,values.shape)

sns.scatterplot(x = jitter(information.latitude,2), 
                y = jitter(information.longitude,2),
                hue=information.genre,s=200,alpha=0.5)

answered Oct 27, 2020 at 11:59

StupidWolf

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Comments

Mitchell van Zuylen · Accepted Answer · 2020-10-27 11:10:29Z

-1

The parameter s=200 sets the individual scatter points to a very large size. Adding 4 points of jitter is very little compared to that.

answered Oct 27, 2020 at 11:10

Mitchell van Zuylen

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1 Comment

Scott Adamson Over a year ago

I have lowered my s, yet the same problem still occurs. I have added a dataframe.

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