how to separate rows into groups based on month pandas in python

main.py
import pandas as pd
from datetime import datetime

# Create sample data
df = pd.DataFrame({
    "date": ["2022-01-01", "2022-01-03", "2022-02-05", "2022-02-20", "2022-03-01"],
    "value": [10, 20, 30, 40, 50]
})

# Convert the date column to datetime format
df["date"] = pd.to_datetime(df["date"])

# Group by month
grouped = df.groupby(pd.Grouper(key="date", freq="M"))

# Loop through the groups and print the month and corresponding data
for name, group in grouped:
    print("Month:", name.strftime("%B %Y"))
    print(group)
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main.py
Month: January 2022
        date  value
0 2022-01-01     10
1 2022-01-03     20
Month: February 2022
        date  value
2 2022-02-05     30
3 2022-02-20     40
Month: March 2022
        date  value
4 2022-03-01     50
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