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  1. Detect and exclude outliers in a pandas DataFrame

    That's also the transformation that sklearn 's RobustScaler uses for example. IQR and median are robust to outliers, so you outsmart the problems of the z-score approach. In a normal distribution, we …

  2. Is there a numpy builtin to reject outliers from a list

    Jul 27, 2012 · Linear outliers can be found by numpy std function, however, if the data is non-linear, for example, a parabola or cubic function, standard deviation will not handle the task well, since it needs …

  3. How to remove outliers from a dataset - Stack Overflow

    Jan 25, 2011 · Yes, it is not good to remove 'outliers' from the data but sometimes you need the data without outliers for specific tasks. In an statistics assignment I had recently, we had to visualise a set …

  4. Boxplots in matplotlib: Markers and outliers - Stack Overflow

    Jul 18, 2013 · A picture is worth a thousand words. Note that the outliers (the + markers in your plot) are simply points outside of the wide [(Q1-1.5 IQR), (Q3+1.5 IQR)] margin below. However, the picture is …

  5. ggplot2 - Labeling Outliers of Boxplots in R - Stack Overflow

    Nov 4, 2015 · Labeling Outliers of Boxplots in R Asked 10 years, 2 months ago Modified 1 year, 5 months ago Viewed 69k times

  6. r - Ignore outliers in ggplot2 boxplot - Stack Overflow

    How would I ignore outliers in ggplot2 boxplot? I don't simply want them to disappear (i.e. outlier.size=0), but I want them to be ignored such that the y axis scales to show 1st/3rd percentile. My

  7. Python: Find outliers inside a list - Stack Overflow

    You are looking for "outliers". The hard part is determining how you would define an outlier. If most of your numbers fit into a distribution, such as a normal distribution, you can fit your data to a …

  8. Identifying the outliers in a data set in R - Stack Overflow

    May 20, 2017 · So, I have a data set and know how to get the five number summary using the summary command. Now I need to get the instances above the Q3 + 1.5IQR or below the Q1 - 1.5IQR, since …

  9. Filter out outliers dynamically using PERCENTILE - Stack Overflow

    Sep 16, 2019 · Filter out outliers dynamically using PERCENTILE Asked 6 years, 3 months ago Modified 6 years, 3 months ago Viewed 6k times

  10. Effective ways to remove outliers in a timeseries - Stack Overflow

    Oct 5, 2023 · I am looking for efficient ways to remove outliers in my data. I have tried several solutions that I found here on Stack Overflow and elsewhere but none of them worked for me (4 high values of …