Multiple plotting from dataframe using seaborn

Question

I am trying to improve my visualizations on Python. Assume I have this data:

data = {'animal':['cat', 'tiger', 'leopard', 'dog'], 'family':['mustelids ','felidae','felidae', 'canidae'], 'family_pct':[6.06,33.33,9.09,12.12]} 

df = pd.DataFrame(data)

I want to create a barplot as follows:

fig, ax = plt.subplots()

sns.barplot(x = 'family', y = 'family_pct', hue='animal', data = df)

However, I would like each "family" to be plotted separately (one plot for mustelids, one for felidae, and one for canidae) and not on the same plot. I effectively would like to loop the graph over every value of the family column. However, I am not sure how to go about this.

Thanks!

Check out sns' FacetGrid.

Quang Hoang
– Quang Hoang

2019-09-26 15:36:12 +00:00
Commented Sep 26, 2019 at 15:36 — Quang Hoang
– Quang Hoang, Commented Sep 26, 2019 at 15:36

Jonathan Porter · Accepted Answer · 2019-09-26 15:38:37Z

1

Use catplot() to combine a barplot() and a FacetGrid. This allows grouping within additional categorical variables. Using catplot() is safer than using FacetGrid directly, as it ensures synchronization of variable order across facets:

sns.catplot(x = 'family', y = 'family_pct', hue='animal', col='family', data = df, kind='bar', height=4, aspect=.7)

See more details here.

answered Sep 26, 2019 at 15:38

Jonathan Porter

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