[Python] [Seaborn] #Seaborn#

snsDrawCircle.py

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.DataFrame()
df['X'] = [1, 2, 1, 2]
df['Y'] = [0, -1, 2, 1]
df['GRP'] = ['HOT', 'COLD', 'COLD', 'HOT']
ax = sns.scatterplot(data=df, hue='GRP', x='X', y='Y')
ax.add_patch(plt.Circle(xy=(0, 0), radius=2, color='red', fill=False))
ax.text(0, 0, 'Hello!')
ax.set(xlim=(-4, 4), ylim=(-4, 4), title='Points with circle')
plt.show()

snsMultylinePlot.py

# Несколько графиков одновременно
# https://stackoverflow.com/questions/52308749/how-do-i-create-a-multiline-plot-using-seaborn
num_rows = 20
years = list(range(1990, 1990 + num_rows))
data_preproc = pd.DataFrame({
    'Year': years,
    'A': np.random.randn(num_rows).cumsum(),
    'B': np.random.randn(num_rows).cumsum(),
    'C': np.random.randn(num_rows).cumsum(),
    'D': np.random.randn(num_rows).cumsum()})
sns.lineplot(x='Year', y='value', hue='variable',
             data=pd.melt(data_preproc, id_vars=['Year']))

# Можно использовать последовательно два или более вывода графиков из разных наборов данных
# https://stackoverflow.com/questions/65835962/how-to-draw-multiple-lines-with-seaborn
import random
import numpy as np
import seaborn as sns

mu, sigma = 0, 0.1 
s = np.random.normal(mu, sigma, 100)

mu1, sigma1 = 0.5, 1
t = np.random.normal(mu1, sigma1, 100)

sns.lineplot(data= s, color = "red")
sns.lineplot(data= t, color ="blue")