I'm trying to generate different boxplots that are describing the distribution of a variable for some product families and industry groups ("Production", "Trade", "Business", "Leisure & Wellbeing").
I'd like to know:
Below the code I'm using and here an image to show you what I get --> Catplot Image.
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_context("talk")
boxplot = sns.catplot(
x='family',
y='lag',
hue="SF_type",
col="industry_group",
data=df1,
kind="box",
orient="v",
height=8,
aspect=2,
col_wrap=1,
order=fam_sort,
palette='Set3',
notch=True,
legend=True,
legend_out=True,
showfliers=False,
showmeans=True,
meanprops={
"marker":"o",
"markerfacecolor":"white",
"markeredgecolor":"black",
"markersize":"10"
}
)
boxplot.fig.suptitle("Boxplots by Product Basket, Industry Group & SF Type", y=1.14)
#repeat xticks for each plot
for ax in boxplot.axes:
plt.setp(ax.get_xticklabels(), visible=True, rotation=75)
plt.subplots_adjust(hspace=1.2, top = 1.1)
#remove axis titles
for ax in boxplot.axes.flatten():
ax.set_ylabel('')
ax.set_xlabel('')
limit_upper = max(df1.groupby(['family','SF_type','industry_group'])['lag'].quantile(0.75))
plt.setp(ax.texts, text="")
ax.set(ylim=(-10, limit_upper ))
Catplot Image
It can be changed with set_titles(). {} to specify the column or row that is being subplotted. See docstring for more details, and the example in the official seaborn reference to modify the subtitles.
Signature: g.set_titles(template=None, row_template=None, col_template=None, **kwargs) Docstring: Draw titles either above each facet or on the grid margins.
Parameters template : string Template for all titles with the formatting keys {col_var} and {col_name} (if using a
col
faceting variable) and/or {row_var} and {row_name} (if using arow
faceting variable). row_template: Template for the row variable when titles are drawn on the grid margins. Must have {row_var} and {row_name} formatting keys. col_template: Template for the row variable when titles are drawn on the grid margins. Must have {col_var} and {col_name} formatting keys.
import seaborn as sns
sns.set_theme(style="ticks")
titanic = sns.load_dataset("titanic")
g = sns.catplot(x="embark_town", y="age",
hue="sex", row="class",
data=titanic[titanic.embark_town.notnull()],
height=2, aspect=3, palette="Set3",
kind="violin", dodge=True, cut=0, bw=.2)
g.set_titles(template='{row_name}')
default: