jupyter pandas

---
from sqlalchemy import create_engine
engine = create_engine('postgresql://postgres:postgres@postgres:5432/postgres', echo=False)

---
import pandas as pd

with engine.connect() as connection:
    df = pd.read_sql('ais', connection)
df

---
import seaborn as sns

# Apply the default theme
sns.set_theme()

# Load an example dataset
tips = sns.load_dataset("tips")

# Create a visualization
sns.relplot(
    data=df,
    x="total_bill", y="tip", col="time",
    hue="smoker", style="smoker", size="size",
)