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Axis Grids

doc/_tutorial/axis_grids.ipynb

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python
import seaborn as sns
import matplotlib.pyplot as plt
python
sns.set_theme(style="ticks")
python
%matplotlib inline
import numpy as np
np.random.seed(sum(map(ord, "axis_grids")))
python
tips = sns.load_dataset("tips")
g = sns.FacetGrid(tips, col="time")
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g = sns.FacetGrid(tips, col="time")
g.map(sns.histplot, "tip")
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g = sns.FacetGrid(tips, col="sex", hue="smoker")
g.map(sns.scatterplot, "total_bill", "tip", alpha=.7)
g.add_legend()
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g = sns.FacetGrid(tips, row="smoker", col="time", margin_titles=True)
g.map(sns.regplot, "size", "total_bill", color=".3", fit_reg=False, x_jitter=.1)
python
g = sns.FacetGrid(tips, col="day", height=4, aspect=.5)
g.map(sns.barplot, "sex", "total_bill", order=["Male", "Female"])
python
ordered_days = tips.day.value_counts().index
g = sns.FacetGrid(tips, row="day", row_order=ordered_days,
                  height=1.7, aspect=4,)
g.map(sns.kdeplot, "total_bill")
python
pal = dict(Lunch="seagreen", Dinner=".7")
g = sns.FacetGrid(tips, hue="time", palette=pal, height=5)
g.map(sns.scatterplot, "total_bill", "tip", s=100, alpha=.5)
g.add_legend()
python
attend = sns.load_dataset("attention").query("subject <= 12")
g = sns.FacetGrid(attend, col="subject", col_wrap=4, height=2, ylim=(0, 10))
g.map(sns.pointplot, "solutions", "score", order=[1, 2, 3], color=".3", errorbar=None)
python
with sns.axes_style("white"):
    g = sns.FacetGrid(tips, row="sex", col="smoker", margin_titles=True, height=2.5)
g.map(sns.scatterplot, "total_bill", "tip", color="#334488")
g.set_axis_labels("Total bill (US Dollars)", "Tip")
g.set(xticks=[10, 30, 50], yticks=[2, 6, 10])
g.figure.subplots_adjust(wspace=.02, hspace=.02)
python
g = sns.FacetGrid(tips, col="smoker", margin_titles=True, height=4)
g.map(plt.scatter, "total_bill", "tip", color="#338844", edgecolor="white", s=50, lw=1)
for ax in g.axes_dict.values():
    ax.axline((0, 0), slope=.2, c=".2", ls="--", zorder=0)
g.set(xlim=(0, 60), ylim=(0, 14))
python
from scipy import stats
def quantile_plot(x, **kwargs):
    quantiles, xr = stats.probplot(x, fit=False)
    plt.scatter(xr, quantiles, **kwargs)
    
g = sns.FacetGrid(tips, col="sex", height=4)
g.map(quantile_plot, "total_bill")
python
def qqplot(x, y, **kwargs):
    _, xr = stats.probplot(x, fit=False)
    _, yr = stats.probplot(y, fit=False)
    plt.scatter(xr, yr, **kwargs)
    
g = sns.FacetGrid(tips, col="smoker", height=4)
g.map(qqplot, "total_bill", "tip")
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g = sns.FacetGrid(tips, hue="time", col="sex", height=4)
g.map(qqplot, "total_bill", "tip")
g.add_legend()
python
def hexbin(x, y, color, **kwargs):
    cmap = sns.light_palette(color, as_cmap=True)
    plt.hexbin(x, y, gridsize=15, cmap=cmap, **kwargs)

with sns.axes_style("dark"):
    g = sns.FacetGrid(tips, hue="time", col="time", height=4)
g.map(hexbin, "total_bill", "tip", extent=[0, 50, 0, 10]);
python
iris = sns.load_dataset("iris")
g = sns.PairGrid(iris)
g.map(sns.scatterplot)
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g = sns.PairGrid(iris)
g.map_diag(sns.histplot)
g.map_offdiag(sns.scatterplot)
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g = sns.PairGrid(iris, hue="species")
g.map_diag(sns.histplot)
g.map_offdiag(sns.scatterplot)
g.add_legend()
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g = sns.PairGrid(iris, vars=["sepal_length", "sepal_width"], hue="species")
g.map(sns.scatterplot)
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g = sns.PairGrid(iris)
g.map_upper(sns.scatterplot)
g.map_lower(sns.kdeplot)
g.map_diag(sns.kdeplot, lw=3, legend=False)
python
g = sns.PairGrid(tips, y_vars=["tip"], x_vars=["total_bill", "size"], height=4)
g.map(sns.regplot, color=".3")
g.set(ylim=(-1, 11), yticks=[0, 5, 10])
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g = sns.PairGrid(tips, hue="size", palette="GnBu_d")
g.map(plt.scatter, s=50, edgecolor="white")
g.add_legend()
python
sns.pairplot(iris, hue="species", height=2.5)
python
g = sns.pairplot(iris, hue="species", palette="Set2", diag_kind="kde", height=2.5)