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05-Seaborn-Grids

Updated
17 Sept 2026
1 min read
6 sections
Page 41 of 117
Python & Machine Learning

Grids

Imports

The Data

python
df = pd.read_csv('StudentsPerformance.csv')
python
df.head()
Out · table
gender
race/ethnicity
parental level of education
lunch
test preparation course
48 more lines
math score
reading score
writing score
0
female
group B
bachelor's degree
standard
none
72
72
74
1
female
group C
some college
standard
completed
69
90
88
2
female
group B
master's degree
standard
none
90
95
93
3
male
group A
associate's degree
free/reduced
none
47
57
44
4
male
group C
some college
standard
none
76
78
75

catplot()

python
# Kind Options are: “point”, “bar”, “strip”, “swarm”, “box”, “violin”, or “boxen”
sns.catplot(x='gender',y='math score',data=df,kind='box')
Out · result
<seaborn.axisgrid.FacetGrid at 0x1e24e235b08>
Out · plot
Output 1
python
sns.catplot(x='gender',y='math score',data=df,kind='box',row='lunch')
Out · result
<seaborn.axisgrid.FacetGrid at 0x1e24e37b2c8>
Out · plot
Output 2
python
sns.catplot(x='gender',y='math score',data=df,kind='box',row='lunch',col='test preparation course')
Out · result
<seaborn.axisgrid.FacetGrid at 0x1e24e856388>
Out · plot
Output 3

Pairgrid

Grid that pairplot is built on top of, allows for heavy customization of the pairplot seen earlier.

python
g = sns.PairGrid(df)
g = g.map_upper(sns.scatterplot)
g = g.map_diag(sns.kdeplot, lw=2)
g = g.map_lower(sns.kdeplot, colors="red")
Out · plot
Output 4
python
g = sns.PairGrid(df, hue="gender", palette="viridis",hue_kws={"marker": ["o", "+"]})
g = g.map_upper(sns.scatterplot, linewidths=1, edgecolor="w", s=40)
g = g.map_diag(sns.distplot)
g = g.map_lower(sns.kdeplot)
g = g.add_legend();

# Safely ignore the warning, its telling you it didn't use the marker for kde plot
Out · stderr
c:\users\marcial\anaconda3\envs\ml_master\lib\site-packages\seaborn\distributions.py:434: UserWarning: The following kwargs were not used by contour: 'marker'
  cset = contour_func(xx, yy, z, n_levels, **kwargs)
Out · plot
Output 5

FacetGrid

python
sns.FacetGrid(data=df,col='gender',row='lunch')
Out · result
<seaborn.axisgrid.FacetGrid at 0x1e24be00748>
Out · plot
Output 6
python
g = sns.FacetGrid(data=df,col='gender',row='lunch')
g = g.map(plt.scatter, "math score", "reading score", edgecolor="w")
g.add_legend()
Out · result
<seaborn.axisgrid.FacetGrid at 0x1e24f4fcb08>
Out · plot
Output 7
python
# https://stackoverflow.com/questions/43669229/increase-space-between-rows-on-facetgrid-plot
python
g = sns.FacetGrid(data=df,col='gender',row='lunch')
g = g.map(plt.scatter, "math score", "reading score", edgecolor="w")
g.add_legend()

plt.subplots_adjust(hspace=0.4, wspace=1)
Out · plot
Output 8