Something similar to the fig.set_size_inches(18.5, 10.5)
of matplotlib.
You can declare fig, ax
pair via plt.subplots()
first, then set proper size on that figure, and ask sns.regplot
to plot on that ax
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# some artificial data
data = np.random.multivariate_normal([0,0], [[1,-0.5],[-0.5,1]], size=100)
# plot
sns.set_style('ticks')
fig, ax = plt.subplots()
fig.set_size_inches(18.5, 10.5)
sns.regplot(data[:,0], data[:,1], ax=ax)
sns.despine()
Or a little bit shorter:
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# some artificial data
data = np.random.multivariate_normal([0,0], [[1,-0.5],[-0.5,1]], size=100)
# plot
sns.set_style('ticks')
g = sns.regplot(data[:,0], data[:,1])
g.figure.set_size_inches(18.5, 10.5)
sns.despine()
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