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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.
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Using size parameter to plot multiple line plots in Seaborn. We can even use the size parameter of seaborn. lineplot() function to represent the multi data variable relationships with a varying size of line to be plotted. So it acts as a grouping variable with different size/width according to the magnitude of the data ...
You probably need to re-organize your dataframe in a suitable way so that there is one column for the x data, one for the y data, and one which holds the label for the data point. You can also just use matplotlib. pyplot . If you import seaborn , much of the improved design is also used for "regular" matplotlib plots.
To plot a line plot in Matplotlib, you use the generic plot() function from the PyPlot instance. There's no specific lineplot() function - the generic one automatically plots using lines or markers. This results in much the same line plot as before, as the values of x are inferred.
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:
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