Label axes on Seaborn Barplot

Seaborn's barplot returns an axis-object (not a figure). This means you can do the following:

import pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltfake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})ax = sns.barplot(x = 'val', y = 'cat',               data = fake,               color = 'black')ax.set(xlabel='common xlabel', ylabel='common ylabel')plt.show()

One can avoid the AttributeError brought about by set_axis_labels() method by using the matplotlib.pyplot.xlabel and matplotlib.pyplot.ylabel.

matplotlib.pyplot.xlabel sets the x-axis label while the matplotlib.pyplot.ylabel sets the y-axis label of the current axis.

Solution code:

import pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltfake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})fig = sns.barplot(x = 'val', y = 'cat', data = fake, color = 'black')plt.xlabel("Colors")plt.ylabel("Values")plt.title("Colors vs Values") # You can comment this line out if you don't need titleplt.show(fig)

Output figure:

You can also set the title of your chart by adding the title parameter as follows

ax.set(xlabel='common xlabel', ylabel='common ylabel', title='some title')