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How to Select Rows in a DataFrame Between Two Values?

Nov 16, 2024 am 12:28 AM

How to Select Rows in a DataFrame Between Two Values?

Selecting Rows in a DataFrame Between Two Values

When working with DataFrames, you may need to filter the data based on specific criteria. One common scenario is selecting rows where the values in a particular column fall within a specified range.

Problem:

You have a DataFrame df and want to modify it to include only rows for which the values in the column closing_price are between 99 and 101. You try the following code:

df = df[99 <= df['closing_price'] <= 101]
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However, you encounter the error:

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

To resolve this issue, use the between method of the Series:

df = df[df['closing_price'].between(99, 101)]
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The between method takes two arguments: the lower and upper bounds of the range. It returns a boolean Series indicating which rows meet the specified condition. By passing this boolean Series to the square brackets ([]), you can select the corresponding rows from the DataFrame.

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