Introduction to Data Visualization with Seaborn
Erin Case
Data Scientist
g = sns.catplot(x="Region", y="Birthrate", data=gdp_data, kind="box")
g.fig.suptitle("New Title", y=1.03)
g = sns.boxplot(x="Region", y="Birthrate", data=gdp_data)
g.set_title("New Title", y=1.03)
g = sns.catplot(x="Region",
y="Birthrate",
data=gdp_data,
kind="box",
col="Group")
g = sns.catplot(x="Region", y="Birthrate", data=gdp_data, kind="box", col="Group")
g.fig.suptitle("New Title", y=1.03)
g = sns.catplot(x="Region", y="Birthrate", data=gdp_data, kind="box", col="Group") g.fig.suptitle("New Title", y=1.03)
g.set_titles("This is {col_name}")
g = sns.catplot(x="Region", y="Birthrate", data=gdp_data, kind="box") `
g.set(xlabel="New X Label", ylabel="New Y Label")
plt.show()
g = sns.catplot(x="Region", y="Birthrate", data=gdp_data, kind="box")
plt.xticks(rotation=90)
plt.show()
Introduction to Data Visualization with Seaborn