Pandas Resampling and Frequency Conversion Exercises with Solutions
This resource offers a total of 75 Pandas Resampling and Frequency Conversion problems for practice. It includes 15 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
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1. Resample Time Series Data to Daily Frequency
Write a Pandas program to resample time series data to daily frequency.
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2. Upsample Daily Time Series Data to Hourly Frequency
Write a Pandas program to upsample daily time series data to hourly frequency.
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3. Resample Time Series Data with Different Aggregation Methods
Write a Pandas program to resample Time Series Data with different Aggregation methods.
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4. Resample Time Series Data to Weekly Frequency
Write a Pandas program to resample Time Series data to Weekly frequency.
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5. Downsample Time Series Data from Minute to Hourly Frequency
Write a Pandas program to downsample Time Series data from Minute to Hourly Frequency.
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6. Resample Time Series Data to Business Day Frequency
Write a Pandas program to resample Time Series Data to Business day Frequency.
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7. Interpolate Missing Values After Resampling
Write a Pandas program to interpolate missing values after Resampling.
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8. Resample Time Series Data with Custom Functions
Write a Pandas program to resample Time Series data with custom functions.
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9. Resample Time Series Data to Quarterly Frequency
Write a Pandas program to resample Time Series data to quarterly frequency.
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10. Resample Time Series Data to Yearly Frequency
Write a Pandas program to resample Time Series Data to Yearly Frequency.
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11. Shift Time Series Data Forward and Backward
Write a Pandas program to shift Time Series Data Forward and Backward.
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12. Calculate Rolling Mean of Resampled Data
Write a Pandas program to calculate Rolling Mean of Resampled Data.
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13. Handle Missing Data Before Resampling
Write a Pandas program to handle missing data before Resampling.
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14. Create Custom Resampling Periods
Write a Pandas program to create custom Resampling periods.
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15. Calculate Percentage Change in Resampled Data
Write a Pandas program to calculate percentage change in Resampled data.
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