Скачать или смотреть How to Calculate Percentages of a Sum Over N Rows in Python with Pandas

Learn how to easily calculate percentages for monthly costs in Python. This guide walks you through the process using Pandas, ensuring you can enhance your financial analysis skills.
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How to Calculate Percentages of a Sum Over N Rows in Python with Pandas

Calculating percentages in a dataset can often be a challenging task, especially when dealing with grouped data across multiple rows. In this guide, we will explore how to calculate the percentage of costs over a twelve-month period using Python's Pandas library.

The Problem

You might have a dataset that tracks expenses over months. For example, your dataset could look like this:

NameMonthCostsPainting11000Painting20Painting30Painting40Painting51000Painting60Painting70Painting80Painting91000Painting100Painting110Painting121000Repair10Repair20Repair30Repair42500Repair50Repair60Repair75000Repair80Repair90Repair102500Repair110Repair120You want to create a new column that indicates the percentage of each month's cost relative to the total costs over a year for each name.

The Solution

To tackle this problem, we will use several powerful features of the Pandas library. Here's a step-by-step breakdown of how to calculate the desired percentages.

Step 1: Set Up the DataFrame

First, ensure that you have Pandas installed and start by importing it:

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Then, create a DataFrame from your data:

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Step 2: Calculate the Total Costs per Name

Next, you can calculate the total costs for each name:

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This line will give you the total costs accumulated for each name across all months.

Step 3: Calculate the Percentages

Now that you have the total costs, calculating the percentages is straightforward. Divide each month's costs by the total costs and multiply by 100 to get the percentage:

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Step 4: Formatting the Output

Finally, you might want to format your percentage to show it concisely:

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Complete Code Example

Assemble all the steps in a complete code example:

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Sample Output

The output will be structured like this:

NameMonthCostsPercentagesPainting1100025%Painting200%Painting300%Painting400%Painting5100025%Painting600%Painting700%Painting800%Painting9100025%Painting1000%Painting1100%Painting12100025%Repair100%Repair200%Repair300%Repair4250025%Repair500%Repair600%Repair7500050%Repair800%Repair900%Repair10250025%Repair1100%Repair1200%Conclusion

Calculating the percentage of costs over a period is efficient and convenient using Pandas in Python. By using the grouping and transformation functions, we can easily manage and compute necessary financial metrics. This not only saves time but also helps in maintaining clarity and accuracy in financial reporting.

Feel free to try this code on your dataset, and enhance your financial analysis capabilities today!