Python Pandas — Other Features

Pandas offers a wide range of advanced features, including:

  • Correlation Analysis:
    # Show the linear relationship between the columns in the exercise_metrics.csv data (df1):
    df1.corr()
    
        
                    Duration	Pulse           Maxpulse	Calories
    Duration	1.000000	-0.155408	0.009403	0.922717
    Pulse           -0.155408	1.000000	0.786535	0.025121
    Maxpulse	0.009403	0.786535	1.000000	0.203813
    Calories	0.922717	0.025121	0.203813	1.000000
    
  • Time Series Analysis: Handling time-series data and performing operations like resampling, shifting, and rolling calculations.
  • Hierarchical Indexing: Creating multi-level indices for DataFrames, enabling efficient data organization and retrieval.
  • Integration with Other Libraries: Seamlessly working with NumPy, Matplotlib, and other Python libraries.

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