# Group by and Filter Groups in Pandas

## Pandas Advanced Grouping and Aggregation: Exercise-4 with Solution

Group by and Filter Groups:

Write a Pandas program that implements the technique of grouping and filtering groups to refine your data analysis and insights.

**Sample Solution:**

**Python Code :**

```
import pandas as pd
# Sample DataFrame
data = {'Category': ['A', 'A', 'B', 'B', 'C', 'C'],
'Value': [1, 2, 3, 4, 5, 6]}
df = pd.DataFrame(data)
print("Sample DataFrame:")
print(df)
# Group by 'Category'
grouped = df.groupby('Category')
# Filter groups where the sum of 'Value' > 5
print("\nFilter groups where the sum of 'Value' > 5")
filtered = grouped.filter(lambda x: x['Value'].sum() > 5)
print(filtered)
```

Output:

Sample DataFrame: Category Value 0 A 1 1 A 2 2 B 3 3 B 4 4 C 5 5 C 6 Filter groups where the sum of 'Value' > 5 Category Value 2 B 3 3 B 4 4 C 5 5 C 6

**Explanation:**

- Import pandas.
- Create a sample DataFrame.
- Group by 'Category'.
- Filter groups where the sum of 'Value' > 5.
- Print the filtered DataFrame.

**Python Code Editor:**

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