.idxmax

You can use these methods to get the index labels for the minimum or maximum values of a Series or DataFrame, .idxmax. Suppose you want to know - .idxmax day of the last week had the lowest sales amount?

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.idxmax

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Tuesday Thursday Name: Sales, dtype: int Catalog pyspark.

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In data analysis, identifying the maximum and minimum values in your dataset is a common requirement. Pandas, a popular Python library for data manipulation and analysis, provides powerful tools for handling this task efficiently. Two such tools are the idxmax and idxmin methods. These methods help you find the index of the first occurrence of the maximum and minimum values in a DataFrame or Series, respectively. The idxmax method returns the index of the first occurrence of the maximum value, while idxmin returns the index of the first occurrence of the minimum value. You can apply these methods across rows or columns of a DataFrame or on a Series object. In this example, the output will specify the index values corresponding to the maximum and minimum temperatures in the DataFrame. This approach is particularly useful when you want to compare values across multiple columns in the same row. This row-wise operation allows you to see which quarter column had the maximum or minimum value for each row.

.idxmax

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What kind of Experience do you want to share? Suppose you want to know: Get me the day when each agent generated the minimum sales? Where To Start Not sure where you want to start? Copyright by Refsnes Data. PythonException pyspark. Enhance the article with your expertise. Skip to content. W3schools Pathfinder. Catalog pyspark. Help us improve. You can also extract the index labels days from the above query using the index attribute:. What if the dataset contains the minimum or maximum value more than once? Improve Improve.

You can use the pandas. The following examples show how to use this function in practice with the following pandas DataFrame:. The following code shows how to find the index that has the maximum value for each column:.

This article is being improved by another user right now. Please go through our recently updated Improvement Guidelines before submitting any improvements. Proclus Academy. And store them in a pandas Series :. Series pyspark. Previous Python Pandas dataframe. Save Article Save. Additional Information. Title Image by Pexels. Campus Experiences. Article Tags :. Python Crash Course.