I am trying to set individual xlabels for each subplot in a seaborn parigrid object, but the plot wont update and just shows me the xlables for the bottom most plot only.

g = sns.PairGrid(dat,x_vars = inputs, y_vars = outputs, hue = 'variable')

def scatter_plt(x, y, *a, **kw):
    if x.equals(y):
        kw["color"] = (0, 0, 0, 0)
    plt.scatter(x, y,*a, **kw)
    plt.xticks(rotation=90)
    plt.subplots_adjust(wspace=0.4, hspace=0.4)
        
g.map(scatter_plt)

I tried the following but it did not work as I saw the same plot as before.

xlabels,ylabels = [],[]

for ax in g.axes[-1,:]:
    xlabel = ax.xaxis.get_label_text()
    xlabels.append(xlabel)
for ax in g.axes[:,0]:
    ylabel = ax.yaxis.get_label_text()
    ylabels.append(ylabel)

for i in range(len(xlabels)):
    for j in range(len(ylabels)):
        g.axes[j,i].xaxis.set_label_text(xlabels[i])
        g.axes[j,i].yaxis.set_label_text(ylabels[j])

CodePudding user response：

Seaborn sets these internal labels invisible, so you explicitly need to set them visible again.

Here is how the code could look like. Some details have also changed:

• Seaborn has some example datasets that can be used for quick testing. Here, the iris dataset is used for easy reproducibility.
• plt.subplots_adjust(...) only needs to be called once, as it changes the full figure. Instead of plt.subplot_adjust(), plt.tight_layout() often works easier, as it tries to optimize all distances.
• Assigning the xlabels and ylabels via