.idxmax

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You can use these methods to get the index labels for the minimum or maximum values of a Series or DataFrame. Suppose you want to know - which day of the last week had the lowest sales amount? The method idxmin will get you the answer:. Thus the lowest sales of the week occurred on Tuesday. And what was that amount? The Series method idxmax returns the index of the maximum value. What if the dataset contains the minimum or maximum value more than once?

.idxmax

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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:. For example, notice that Andy and Chad both had 11 rebounds. Since Andy appears first in the DataFrame his name is returned. The following code shows how to find the column that has the maximum value for each row:. Refer to the pandas documentation for a complete explanation of the idxmax function.

.idxmax

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. In real-world datasets, handling missing values is a frequent challenge.

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So idxmin failed to get us all the days when the minimum value occurred. Additional Information. What kind of Experience do you want to share? Catalog pyspark. Series pyspark. ResourceProfileBuilder pyspark. Int64Index pyspark. Get Certified Document your knowledge. ExecutorResourceRequests pyspark. Create Improvement. You can suggest the changes for now and it will be under the article's discussion tab. DataFrameWriterV2 pyspark. The method idxmin provides additional functionality for DataFrames. Suggest Changes. The mask is set to True for both Tuesday and Thursday.

W3Schools offers a wide range of services and products for beginners and professionals, helping millions of people everyday to learn and master new skills. Create your own website with W3Schools Spaces - no setup required. Host your own website, and share it to the world with W3Schools Spaces.

Contribute to the GeeksforGeeks community and help create better learning resources for all. This article is being improved by another user right now. Data Analytics Data Analytics Course. You can also extract the index labels days from the above query using the index attribute:. Syntax: Series. Related Articles. Redundant for application on Series. That is, it returns the row index day of the minimum value sales for each column agent :. Create your own website with W3Schools Spaces - no setup required. Last Updated : 13 Feb, We got the expected answer!