I'm trying to use my own labels for a Seaborn barplot with the following code:
import pandas as pd
import seaborn as sns
fake = pd.DataFrame({'cat': ['red', 'green', 'blue'], 'val': [1, 2, 3]})
fig = sns.barplot(x = 'val', y = 'cat',
data = fake,
color = 'black')
fig.set_axis_labels('Colors', 'Values')
However, I get an error that:
AttributeError: 'AxesSubplot' object has no attribute 'set_axis_labels'
What gives?
Seaborn's barplot returns an axis-object (not a figure). This means you can do the following:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
fake = 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()