So I am relatively new to seaborn and I want to create a kdeplot which can show the relation between two of my datasets (almost 2000 single column entries).
The plot comes out fine, but the cbar shows values in decimals (from 0.000065 to 0.002356).…
Suppose I want to plot the following data using sns.kdeplot:
np.random.seed(42)
x = [np.random.randint(0, 10) for _ in range(10)]
x
[6, 3, 7, 4, 6, 9, 2, 6, 7, 4]
But now, instead of having each value, suppose I have the probability of each…
I am having little difficulty adding legend to a CDF plot with seaborn.
Imports and sample data
import numpy as np
import matplotlib.plyplot as plt
import seaborn as sns
X = np.random.randn(20,1,10,4)
k = X[:,0,:,0].reshape(-1)
l =…
trying to plot density with kdeplot. However, I can not get it to work exactly how I would like.
data = customers
groupby gender
if I code
customers.hist(by ='gender', column='total_trans_ct', figsize = [10,6]);```
I get a histogram divided for M…