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Topics CoveredPrice (USD)Time (Days)
Data Manipulation Basics$402
Data Cleaning & Preparation$503
Data Merging & Joining$452
Data Visualization with Pandas$604
Time Series Analysis$553
Advanced Indexing Techniques$654
Performance Optimization$705
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Key Topics
  • Pandas Assignment Help
  • Data Filtering and Sorting Using Pandas
  • Key Aspects of our service at programminghomeworkhelp.com
  • Topics Covered by Our Pandas Assignment Experts
  • Adaptable Payment Options in Our Pandas Assignment Help Service
  • Exclusive Savings for Returning Students on Our Pandas Assignment Help Service

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Data Filtering and Sorting Using Pandas

import pandas as pd # Sample data (you can replace this with your actual data source) data = { 'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Emily'], 'Age': [25, 30, 35, 28, 32], 'City': ['New York', 'Los Angeles', 'Chicago', 'Houston', 'Boston'] } # Create a DataFrame from the sample data df = pd.DataFrame(data) # Filter the DataFrame for people aged 30 and above filtered_df = df[df['Age'] >= 30] # Sort the filtered DataFrame by Age in descending order sorted_df = filtered_df.sort_values(by='Age', ascending=False) # Display the sorted DataFrame print(sorted_df)

In this example:

  • We create a Pandas DataFrame df from a dictionary data.
  • We filter df to include only rows where 'Age' is 30 or above (filtered_df = df[df['Age'] >= 30]).
  • We sort filtered_df by 'Age' in descending order (sorted_df = filtered_df.sort_values(by='Age', ascending=False)).
  • Finally, we print sorted_df, which displays the sorted DataFrame.

This code demonstrates how Pandas can be used for basic data manipulation tasks like filtering and sorting data.

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Dive into our blog for valuable insights on Python, data manipulation, and expert tips for mastering Pandas assignments. Curated by our team of specialists, our blog features practical coding tips, in-depth tutorials on Pandas functions, and articles designed to enhance your understanding and skills. Whether you're a student seeking academic support or a professional refining your data handling techniques, our blog provides essential resources to keep you informed and ahead in your field.

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