View the top rows of the frame in Pandas

Viewing the top rows of a DataFrame is often the first step in understanding the structure and content of your dataset when working with pandas. The head() method in pandas allows you to easily inspect the top rows.

Here's a tutorial on how to view the top rows of a DataFrame using pandas:

1. Setup:

Ensure you have pandas installed:

pip install pandas

2. Import Necessary Libraries:

import pandas as pd

3. Create a Sample DataFrame:

data = {
    'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
    'B': [10, 9, 8, 7, 6, 5, 4, 3, 2, 1],
    'C': list(range(10, 20))
}
df = pd.DataFrame(data)
print(df)

4. View Top Rows:

By default, the head() method displays the top 5 rows:

print(df.head())

However, you can specify a different number of rows by passing an integer argument to the head() method:

print(df.head(3))  # Displays the top 3 rows

Explanation:

The head() method returns the first n rows from the DataFrame. By default, it returns 5 rows, but you can specify any number by passing it as an argument.
It's especially useful when dealing with large datasets, as it allows you to quickly inspect the first few entries without loading the entire dataset into memory.

Summary:

The head() method in pandas is a quick and easy way to view the initial rows of a DataFrame. It's one of the most frequently used methods in exploratory data analysis to get a sense of the data you're working with. Another complementary method is tail(), which shows you the last n rows of the DataFrame.

View first rows of DataFrame in Pandas:
- Use the head() function to display the initial rows of the DataFrame.
```
first_rows = df.head()
```
Displaying top records in Pandas DataFrame:
- Showcase the top records in the DataFrame using the head() method.
```
top_records = df.head(10)  # Display top 10 rows
```
Pandas show first n rows:
- Specify the number of rows to display using the head() function.
```
first_n_rows = df.head(5)  # Display first 5 rows
```
How to use head() in Pandas:
- Employ the head() method as a quick way to inspect the initial rows.
```
preview_data = df.head()
```
Preview data with Pandas head function:
- Gain a quick preview of the DataFrame using the head() function.
```
preview = df.head()
```
Displaying top rows of a specific column in Pandas:
- Focus on the top rows of a specific column using the head() method.
```
top_column_values = df['Column_Name'].head()
```
Show top rows after sorting in Pandas:
- Sort the DataFrame and display the top rows using head().
```
sorted_df = df.sort_values(by='Column_Name')
top_sorted_rows = sorted_df.head()
```
Using head() with large DataFrames in Pandas:
- Apply head() to large DataFrames for a quick overview without overwhelming output.
```
quick_look_large_df = df.head(10)
```
Quick look at data using Pandas head():
- Utilize head() for a brief examination of the DataFrame.
```
quick_look = df.head()
```