Importa le librerie
|
1 2 3 |
import matplotlib.pyplot as plt import pandas as pd import seaborn as sns |
Importa i dati
|
1 |
data = pd.read_csv('Advertising.csv', index_col=0) |
Vedi…
|
1 2 3 4 5 6 7 8 9 |
print(data) TV radio newspaper sales 1 230.1 37.8 69.2 22.1 2 44.5 39.3 45.1 10.4 3 17.2 45.9 69.3 9.3 4 151.5 41.3 58.5 18.5 5 180.8 10.8 58.4 12.9 . ..... .... .... .... |
Grafici
Seaborn prova a disegnare tutto…
|
1 2 |
sns.pairplot(data) plt.show() # In IDLE |
Specifica cosa desideri
|
1 2 |
sns.pairplot(data, x_vars=['TV','radio','newspaper'], y_vars='sales') plt.show() |
Specifica le dimensioni
|
1 2 |
sns.pairplot(data, x_vars=['TV','radio','newspaper'], y_vars='sales', height=4.5, aspect=0.7) plt.show() |
Vedi: Sinan Ozdemir, Data Science – APOGEO