Python의 특정 날짜 범위 내에서 DataFrame 행을 효율적으로 선택하는 방법은 무엇입니까?

# Ensure date column is a datetime64 series
df['date'] = pd.to_datetime(df['date']) 

# Create a boolean mask
mask = (df['date'] > start_date) & (df['date'] <= end_date)

# Select the sub-DataFrame
sub_df = df.loc[mask]

df = df.set_index(['date'])

# Select rows using index slicing
sub_df = df.loc[start_date:end_date]

>>> df
            value  date
0          0.2   2021-06-01
1          0.3   2021-06-05
2          0.4   2021-06-10
3          0.5   2021-06-15

mask = (df['date'] > '2021-06-01') & (df['date'] <= '2021-06-30')
sub_df = df.loc[mask]

df = df.set_index(['date'])
sub_df = df.loc['2021-06-01':'2021-06-30']

>>> sub_df
            value  date
0          0.2   2021-06-01
1          0.3   2021-06-05
2          0.4   2021-06-10
3          0.5   2021-06-15