Instruction: Explain how to highlight or change the appearance of DataFrame cells based on their values.
Context: Candidates should illustrate their knowledge on enhancing data presentation and visualization directly within DataFrame outputs using conditional formatting.
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First, it’s essential to clarify that Pandans provides a method called .style.applymap() for elementwise styling and .style.apply() for column/row-wise styling. My explanation will cover a practical example of how to utilize these methods to apply conditional formatting effectively.
Let's imagine we have a DataFrame named df with sales data, and we're interested in highlighting sales values that are above a certain threshold because these represent high-value transactions critical for our business analysis....