Selecting the first and last 7 rows in a Pandas DataFrame
Python Pandas Numpy: Exercise-4 with Solution
Select the first and last 7 rows of a Pandas DataFrame.
Sample Solution:
Python Code:
import pandas as pd
# Create a sample DataFrame
data = {'Name': ['Teodosija', 'Sutton', 'Taneli', 'Ravshan', 'Ross', 'Alice', 'Bob', 'Charlie', 'David', 'Emily'],
'Age': [26, 32, 25, 31, 28, 22, 35, 30, 40, 28],
'Salary': [50000, 60000, 45000, 70000, 55000, 60000, 70000, 55000, 75000, 65000]}
df = pd.DataFrame(data)
# Select the first 7 rows
selected_rows = pd.concat([df.head(7)])
print("First 7 rows:")
# Display the selected rows
print(selected_rows)
# Select the first and last 7 rows
selected_rows = pd.concat([df.tail(7)])
print("\nLast 7 rows:")
# Display the selected rows
print(selected_rows)
Output:
First 7 rows: Name Age Salary 0 Teodosija 26 50000 1 Sutton 32 60000 2 Taneli 25 45000 3 Ravshan 31 70000 4 Ross 28 55000 5 Alice 22 60000 6 Bob 35 70000 Last 7 rows: Name Age Salary 3 Ravshan 31 70000 4 Ross 28 55000 5 Alice 22 60000 6 Bob 35 70000 7 Charlie 30 55000 8 David 40 75000 9 Emily 28 65000
Explanation:
- Importing Pandas:
import pandas as pd
Imports the Pandas library and aliases it as "pd" for convenience. - Creating a Sample DataFrame:
data = {'Name': ['Teodosija', 'Sutton', 'Taneli', 'Ravshan', 'Ross', 'Alice', 'Bob', 'Charlie', 'David', 'Emily'], 'Age': [26, 32, 25, 31, 28, 22, 35, 30, 40, 28], 'Salary': [50000, 60000, 45000, 70000, 55000, 60000, 70000, 55000, 75000, 65000]} df = pd.DataFrame(data)
Creates a sample DataFrame (df) with columns 'Name', 'Age', and 'Salary'. - Selecting the First 7 Rows:
selected_rows = pd.concat([df.head(7)])
Uses the head(7) method to select the first 7 rows of the DataFrame and stores it in selected_rows. - Displaying the First 7 Rows:
print("First 7 rows:") print(selected_rows)
Prints a message and displays the selected rows to the console. - Selecting the Last 7 Rows:
selected_rows = pd.concat([df.tail(7)])
Uses the tail(7) method to select the last 7 rows of the DataFrame and stores it in selected_rows. - Displaying the Last 7 Rows:
print("\nLast 7 rows:") print(selected_rows)
Prints a message and displays the selected rows to the console.
Flowchart:
Python Code Editor:
Previous: Selecting rows based on multiple conditions in Pandas DataFrame.
Next: Filtering rows based on a column condition in Pandas DataFrame.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://www.w3resource.com/python-exercises/pandas_numpy/pandas_numpy-exercise-4.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics