/Python/Python seaborn violin plot fit data better

Python seaborn violin plot fit data better

# Short answer:
# Adjust the bandwidth parameter to smaller values. E.g. bw = 0.1

# Example usage:
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

data = np.random.rand(100)
sns.violinplot(y=data, bw=0.1) # Changing the bw parameter adjusts how
#	tightly the data is fit by the kernel density estimate (KDE)

Source: stackoverflow.com

Similar codes

1 vote121 views1 answer
The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.
Python
9 votes110 views2 answers
Creata daframe python
Python
0 vote131 views1 answer
Connect mysql sql alchemy
Python
15 votes102 views2 answers
Code for test and train split
Python
101 votes130 views6 answers
Remove last character from string python
Python
-5 votes116 views10 answers
Activate venv in python
Python
4 votes115 views2 answers
List to json python
Python
3 votes116 views2 answers
Editing specific line in text file in python
Python
0 vote120 views2 answers
Python stop while loop after time
Python
8 votes107 views2 answers
Python f-string padding
Python