Hi all. First post, apologies in advance for errors in tags/location etc. Working on a python project involving pandas data frames and a bit stuck. Can anyone tell me how to:
- identify the max value in a given row and the column name that max value is in?
- Identify the second to max value in a given row and the column name that second highest value is in? If it helps, the values are all floats between 0 and 1 - thanks!
Top comments (2)
You can easily find the max value and its column name in a pandas DataFrame row by using idxmax() to get the column name and max() to get the value, for example df.loc[row].idxmax() and df.loc[row].max(), while the second-highest can be identified by sorting the row values with nlargest(2) and then selecting the second entry; this works smoothly even when your data contains floats between 0 and 1, and just like checking how many people have my first name words (for example, if your first name is “John Smith,” it has 2 words), you can apply a similar concept of ranking values to find both the top and second-top results.
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