How to Filter DataFrame Rows Between Two Values Without Ambiguous Truth Values?

Selecting DataFrame Rows Between Two Values

To isolate specific rows within a DataFrame based on criteria, understanding how to filter rows is essential. One common scenario is extracting rows where a particular column's values fall within a specified range.

In the given scenario, the DataFrame df is being modified to include only rows where the values in the closing_price column are between 99 and 101. However, the code provided leads to the error:

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

The issue arises because directly using the comparison operators (<= and >=) within square brackets can be ambiguous when dealing with Series. To address this, consider utilizing Series.between:

df = df[df['closing_price'].between(99, 101)]

By using between, you specify a range of values as the filtering criteria, eliminating the need for explicit comparisons. This method clearly defines the conditions and avoids the error associated with truth value ambiguity in Series.

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