I'm trying to plot a ROC curve using seaborn (python).
With matplotlib I simply use the function plot
:
plt.plot(one_minus_specificity, sensitivity, 'bs--')
where one_minus_specificity
and sensitivity
are two lists of paired values.
Is there a simple counterparts of the plot function in seaborn? I had a look at the gallery but I didn't find any straightforward method.
Since seaborn also uses matplotlib to do its plotting you can easily combine the two. If you only want to adopt the styling of seaborn the set_style
function should get you started:
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set_style("darkgrid")
plt.plot(np.cumsum(np.random.randn(1000,1)))
plt.show()
Result: