View the bottom rows of the frame in Pandas

Viewing the bottom rows of a DataFrame is crucial to quickly check the last entries of your dataset, especially when working with large data. In pandas, the tail() method is used for this purpose.

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

1. Setup:

First, make sure 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)

4. View Bottom Rows:

By default, the tail() method shows the last 5 rows:

print(df.tail())

But, similar to head(), you can specify a different number of rows by providing an integer argument to the tail() method:

print(df.tail(3))  # Displays the last 3 rows

Explanation:

The tail() method returns the last n rows from the DataFrame. Without any argument, it will default to 5 rows, but you can specify any number as per your requirement.
This method is particularly helpful when you want to check the recent entries in a time-series dataset or to verify if data was appended correctly to the end of a DataFrame.

Summary:

The tail() method in pandas provides a straightforward way to view the last few rows of a DataFrame. When combined with the head() method, it becomes a powerful tool for initial data inspection, ensuring that you're seeing both the beginning and the end of your dataset.

View last rows of DataFrame in Pandas:
- Use the tail() function to display the last rows of the DataFrame.
```
last_rows = df.tail()
```
Displaying bottom records in Pandas DataFrame:
- Showcase the bottom records in the DataFrame using the tail() method.
```
bottom_records = df.tail(10)  # Display bottom 10 rows
```
Pandas show last n rows:
- Specify the number of rows to display from the end using the tail() function.
```
last_n_rows = df.tail(5)  # Display last 5 rows
```
How to use tail() in Pandas:
- Employ the tail() method as a quick way to inspect the last rows.
```
preview_end_data = df.tail()
```
Preview data with Pandas tail function:
- Gain a quick preview of the DataFrame's end using the tail() function.
```
preview_end = df.tail()
```
Displaying bottom rows of a specific column in Pandas:
- Focus on the bottom rows of a specific column using the tail() method.
```
bottom_column_values = df['Column_Name'].tail()
```
Show bottom rows after sorting in Pandas:
- Sort the DataFrame and display the bottom rows using tail().
```
sorted_df = df.sort_values(by='Column_Name')
bottom_sorted_rows = sorted_df.tail()
```
Using tail() with large DataFrames in Pandas:
- Apply tail() to large DataFrames for a quick overview without overwhelming output.
```
quick_look_end_large_df = df.tail(10)
```
Quick look at the end of data using Pandas tail():
- Utilize tail() for a brief examination of the DataFrame's end.
```
quick_look_end = df.tail()
```