Seaborn FacetGrid PointPlot Label Data Points

Question

Given the following:

import seaborn as sns
attend = sns.load_dataset(\"attention\")
sns.set_style(\"whitegrid\", {\'axes.grid\' : False,\'axes.edgecolor\':\'         


        

Answer 1

I wouldn't know what ind is either. But if the aim is to annotate the points with their coordinates, you may use ax.annotate inside a function that is mapped to the FacetGrid as follows:

import matplotlib.pyplot as plt
import seaborn as sns

attend = sns.load_dataset("attention")
sns.set_style("whitegrid", {'axes.grid' : False,'axes.edgecolor':'none'})
g = sns.FacetGrid(attend, col="subject", col_wrap=5,
                  size=1.5, ylim=(0, 10))

def f(x,y, **kwargs):
    ax = sns.pointplot(x,y,**kwargs)
    ax.axhline(5, alpha=0.5, color='grey')
    for i in range(len(x)):
        ax.annotate(str(y.values[i]), xy=(x.values[i]-1, y.values[i]),fontsize=8,
                    xytext = (0,10), textcoords="offset points",
                color=kwargs.get("color","k"), 
                bbox=dict(pad=.9,alpha=0.2, fc='limegreen',color='none'),
                va='center', ha='center',weight='bold')

g.map(f, "solutions", "score", scale=.7)

plt.show()

Possibly, you need to use xy=(i, y.values[i]) in the annotation, depending on what the data looks like.

Note that this also answers your previous question by putting the axhline in that function as well.

If the aim is to replace the points by the annotations, use xytext = (0,0) or leave that argument out completely; then also keep bbox=dict(pad=.9,alpha=1, fc='w',color='none') and use markers="" in the function call:

import matplotlib.pyplot as plt
import seaborn as sns

attend = sns.load_dataset("attention")
sns.set_style("whitegrid", {'axes.grid' : False,'axes.edgecolor':'none'})
g = sns.FacetGrid(attend, col="subject", col_wrap=5,
                  size=1.5, ylim=(0, 10))

def f(x,y, **kwargs):
    ax = sns.pointplot(x,y,**kwargs)
    ax.axhline(5, alpha=0.5, color='grey')
    for i in range(len(x)):
        ax.annotate(str(y.values[i]), xy=(i, y.values[i]),fontsize=8,
                color=kwargs.get("color","k"), 
                bbox=dict(pad=.9,alpha=1, fc='w',color='none'),
                va='center', ha='center',weight='bold')

g.map(f, "solutions", "score", scale=.7, markers="")

plt.show()