Pandas is a powerful Python library for data manipulation and analysis. Creating new columns in a DataFrame based on conditions is a common task. This article explores several efficient methods to achieve this, prioritizing both clarity and performance. We’ll cover list comprehensions, NumPy methods, pandas.DataFrame.apply, and pandas.Series.map(), comparing their strengths…
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Efficiently Returning Multiple Values from PHP Functions
PHP doesn’t offer a direct mechanism for returning multiple values from a function like some other languages (e.g., Python with tuples). However, several techniques effectively simulate this functionality. This article explores four common and efficient approaches: using arrays, employing conditional logic, combining arrays and conditional logic, and leveraging generators. Table…