{"id":235021,"date":"2024-07-02T15:06:40","date_gmt":"2024-07-02T15:06:40","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=235021"},"modified":"2024-07-02T15:06:40","modified_gmt":"2024-07-02T15:06:40","slug":"how-to-get-the-row-with-max-value-in-pandas","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-get-the-row-with-max-value-in-pandas\/","title":{"rendered":"How to get the row with max value in Pandas?"},"content":{"rendered":"

Getting the row with the maximum value in a Pandas DataFrame can be achieved using the `idxmax()` function along with `iloc[]`. This allows you to find the index of the row with the maximum value in a specific column, and then retrieve the entire row.<\/p>\n

Let’s go through the steps:<\/p>\n

1. **Find the index of the row with the maximum value in a specific column using `idxmax()`.**
\n2. **Use `iloc[]` to retrieve the entire row based on the index obtained in step 1.**<\/p>\n

Here’s an example code snippet to illustrate this:<\/p>\n

“`python
\nmax_index = df[‘column_name’].idxmax()
\nrow_with_max_value = df.iloc[max_index]
\nprint(row_with_max_value)
\n“`<\/p>\n

This will output the row with the maximum value in the specified column.<\/p>\n

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