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A guide on converting height measurements from feet to centimeters in a pandas DataFrame. Learn step-by-step techniques including dot products and lambda functions.
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How to Convert Height in Feet to CM using Python with Pandas

If you've ever worked with datasets involving human measurements, you know that different units can make analysis a bit messy. One common task is converting heights listed in feet and inches to centimeters. This conversion is particularly useful when dealing with sports statistics, medical data, or any scenario where precise height measurement is crucial.

In this guide, we'll explore how to perform this conversion using Python's powerful data manipulation library, Pandas. We will cover two efficient methods: using vectorized string operations and Lambda functions.

The Problem: Height Format

Let's look at a typical example of a DataFrame containing player information:

NameTeamNumberPositionAgeHeightWeightCollegeSalaryJae CrowderBoston Celtics99.0SF25.06-6235.0Marquette6796117.0John HollandBoston Celtics30.0SG27-0205.0Boston UniversityNaNHere, the height is indicated in feet and inches (e.g., "6-6", "7-0"). Since this data is not in a numerical format, we need a method to extract the feet and inches and convert them into centimeters.

The Solution

We can use Pandas to manipulate the data easily. In this guide, we will explore two approaches: vectorized str functions and Lambda functions.

Method 1: Using Vectorized str Functions

This method takes advantage of Pandas’ string manipulation capabilities and dot product for numerical conversion.

Steps to Convert Height

Split the String: Use str.split to separate the feet and inches.

Expand into Separate Columns: Utilize apply(pd.Series) to break the list into distinct columns.

Convert to Integers: Use astype(int) to convert the string values into integers.

Dot Product for Conversion: Finally, apply a dot product with the conversion constants.

Code Example

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After applying this code, you'll get a new column in your DataFrame that contains the heights converted to centimeters:

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Method 2: Using Lambda Functions

If you prefer a more functional programming style, you can also use Lambda functions to achieve the same result.

Code Example

[[See Video to Reveal this Text or Code Snippet]]

The output will be identical to the first method:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Converting heights from feet and inches to centimeters in a Pandas DataFrame is straightforward once you know the necessary steps. Utilizing either vectorized string functions or Lambda functions can efficiently handle this conversion.

By following the methods outlined above, you'll find that managing and analyzing height data becomes a much easier task. Whether you're working in sports analytics or any field that requires precise measurements, these techniques will prove invaluable.

If you have any questions or run into any issues while implementing these solutions, feel free to ask for help!