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title: handling division by zero in python pandas: a comprehensive tutorial
introduction:
division by zero is a common issue that data analysts and scientists encounter when working with numeric data in python pandas. this tutorial aims to provide insights into detecting and handling division by zero situations using pandas, along with practical code examples.
in the above example, we replaced zeros with nan using replace(). then, we used the div() function to perform the division, providing fill_value to replace nan with a default value (1 in this case).
in this example, we created a new column 'c' where division is performed only if the denominator is not zero.
conclusion:
handling division by zero in python pandas is crucial to avoid runtime errors and obtain meaningful results in data analysis. by detecting and addressing these situations using techniques like replace() and np.where(), you can ensure the robustness of your data manipulation pipelines.
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