Simple line plots using seaborn

Question

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

User · Accepted Answer

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:

enter image description here

User · Answer

It s possible to get this done using seaborn lineplot   but it involves some additional work of converting numpy arrays to pandas dataframe  Here s a complete example     imports import seaborn as sns import numpy as np import pandas as pd    inputs In  41   num   np array  1  2  3  4  5   In  42   sqr   np array  1  4  9  16  25      convert to pandas dataframe In  43   d     num   num   sqr   sqr  In  44   pdnumsqr   pd DataFrame d     plot using lineplot In  45   sns set style  darkgrid   In  46   sns lineplot x  num   y  sqr   data pdnumsqr  Out 46    lt matplotlib axes  subplots AxesSubplot at 0x7f583c05d0b8 gt    And we get the following plot

User · Answer

Yes  you can do the same in Seaborn directly  This is done with tsplot   which allows either a single array as input  or two arrays where the other is  time  i e  x-axis   import seaborn as sns  data     1 5 3 2 6    20 time   range 100   sns tsplot data  time

[python] Simple line plots using seaborn

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