.idxmax

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.idxmax

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? How would the methods idxmin or idxmax behave? Suppose you calculate the average sales per weekday for the last year. And store them in a pandas Series :. The minimum value, , occurs twice on Tuesday and Thursday. The maximum value, , is repeated on Sunday and Saturday. We expect the method idxmin to return multiple index labels. But it only returns Tuesday , the row label of the first occurrence of the minimum value :. So idxmin failed to get us all the days when the minimum value occurred.

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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.

.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.

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UnknownException pyspark. Advanced Python Tutorials. Engineering Exam Experiences. Examples might be simplified to improve reading and learning. MultiIndex pyspark. Related Articles. By default , it gets the minimum value across the row index. We use cookies to ensure you have the best browsing experience on our website. VersionUtils pyspark. Syntax: Series. However, what if you ask a different question: Which sales agent had the minimum sales on each day?

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Enhance the article with your expertise. Trending in News. Pandas series is a One-dimensional ndarray with axis labels. My Learning Track your learning progress at W3Schools and collect rewards. Open In App. StreamingQuery pyspark. VersionUtils pyspark. Explore offer now. You can suggest the changes for now and it will be under the article's discussion tab. Improve Improve.