Python의 Pandas DataFrame 내에서 중복 항목을 식별하고 검색하는 방법은 무엇입니까?

<code class="python">import pandas as pd

# Read the CSV data into a DataFrame
df = pd.read_csv("dup.csv")

# Extract the "ID" column
ids = df["ID"]

# Create a new DataFrame with only the duplicate values
duplicates = df[ids.isin(ids[ids.duplicated()])]

# Sort the DataFrame by the "ID" column
duplicates.sort_values("ID", inplace=True)

# Print the duplicate values
print(duplicates)</code>

<code class="python"># Group the DataFrame by the "ID" column
grouped = df.groupby("ID")

# Filter the grouped DataFrame to include only groups with more than one row
duplicates = [g for _, g in grouped if len(g) > 1]

# Concatenate the duplicate groups into a new DataFrame
duplicates = pd.concat(duplicates)

# Print the duplicate values
print(duplicates)</code>