Lära Managing Duplicate Data | Handling Missing and Duplicate Data

Python for Data Cleaning

Duplicate data is a common issue in real-world datasets. Duplicates can arise for several reasons: manual data entry errors; merging datasets from multiple sources; or system glitches that cause repeated records. The presence of duplicate rows can distort your analysis by inflating counts; skewing statistical summaries; and leading to incorrect conclusions. Removing duplicates is a crucial step to ensure the accuracy and reliability of your data-driven insights.


              12345678910111213141516171819
            
import pandas as pd

# Sample DataFrame with duplicate rows
data = {
    "name": ["Alice", "Bob", "Alice", "David", "Bob"],
    "age": [25, 30, 25, 22, 30],
    "city": ["New York", "Paris", "New York", "London", "Paris"]
}
df = pd.DataFrame(data)

# Identify duplicate rows
duplicates = df.duplicated()
print("Duplicated rows:")
print(duplicates)

# Remove duplicate rows
df_no_duplicates = df.drop_duplicates()
print("\nDataFrame after removing duplicates:")
print(df_no_duplicates)

1. What does the duplicated() method return?

2. How does drop_duplicates() affect the original DataFrame by default?

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 2

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Awesome!

Completion rate improved to 5.56

Svep för att visa menyn


              12345678910111213141516171819
            
import pandas as pd

# Sample DataFrame with duplicate rows
data = {
    "name": ["Alice", "Bob", "Alice", "David", "Bob"],
    "age": [25, 30, 25, 22, 30],
    "city": ["New York", "Paris", "New York", "London", "Paris"]
}
df = pd.DataFrame(data)

# Identify duplicate rows
duplicates = df.duplicated()
print("Duplicated rows:")
print(duplicates)

# Remove duplicate rows
df_no_duplicates = df.drop_duplicates()
print("\nDataFrame after removing duplicates:")
print(df_no_duplicates)

1. What does the duplicated() method return?

2. How does drop_duplicates() affect the original DataFrame by default?

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 2