Why kdeplot is not normalized on its values?

1.1k views Asked by At

When I am using seaborn's kdeplot function I am getting a plot where the y-axis is in its actual count. I want it to show a value between 0 to 1. The kernel density normally should be between 0 and 1. But why it is still giving its actual value, what is wrong with it? I am using the following code:

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
inp1 = open('1BVN_g.txt', 'r')
val = []
for line in inp1:
    #print(line)
    a = line.rstrip()
    val.append(float(a))
    
val2 = np.array(val)
sns.kdeplot(val2, shade=True)
0

There are 0 answers