outliers | 易学教程

matplotlib: disregard outliers when plotting

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问题 I'm plotting some data from various tests. Sometimes in a test I happen to have one outlier (say 0.1), while all other values are three orders of magnitude smaller. With matplotlib, I plot against the range [0, max_data_value] How can I just zoom into my data and not display outliers, which would mess up the x-axis in my plot? Should I simply take the 95 percentile and have the range [0, 95_percentile] on the x-axis? 回答1: There's no single "best" test for an outlier. Ideally, you should

How to use Outlier Tests in R Code

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问题 As part of my data analysis workflow, I want to test for outliers, and then do my further calculation with and without those outliers. I've found the outlier package, which has various tests, but I'm not sure how best to use them for my workflow. 回答1: If you're worried about outliers, instead on throwing them out, use a robust method. For example, instead of lm, use rlm. 回答2: I agree with Dirk, It's hard. I would recomend first looking at why you might have outliers. An outlier is just a

How to repeat the Grubbs test and flag the outliers

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问题 I am wanting to apply the Grubbs test to a set of data repeatedly until it ceases to find outliers. I want the outliers flagged rather than removed so that I can plot the data as a histogram with the outliers a different colour. I have used grubbs.test from the outliers package to manually identify outliers but cannot figure out how to cycle through them and flag them successfully. The sort of output I am aiming for is like the following: X Outlier 152.36 Yes 130.38 Yes 101.54 No 96.26 No 88

How to remove outliers from a dataset

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I've got some multivariate data of beauty vs ages. The ages range from 20-40 at intervals of 2 (20, 22, 24....40), and for each record of data, they are given an age and a beauty rating from 1-5. When I do boxplots of this data (ages across the X-axis, beauty ratings across the Y-axis), there are some outliers plotted outside the whiskers of each box. I want to remove these outliers from the data frame itself, but I'm not sure how R calculates outliers for its box plots. Below is an example of what my data might look like. OK, you should apply something like this to your dataset. Do not

Detect and exclude outliers in Pandas data frame

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问题 I have a pandas data frame with few columns. Now I know that certain rows are outliers based on a certain column value. For instance column \'Vol\' has all values around 12xx and one value is 4000 (outlier). Now I would like to exclude those rows that have Vol column like this. So, essentially I need to put a filter on the data frame such that we select all rows where the values of a certain column are within, say, 3 standard deviations from mean. What is an elegant way to achieve this? 回答1:

How to remove outliers from a dataset

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问题 I\'ve got some multivariate data of beauty vs ages. The ages range from 20-40 at intervals of 2 (20, 22, 24....40), and for each record of data, they are given an age and a beauty rating from 1-5. When I do boxplots of this data (ages across the X-axis, beauty ratings across the Y-axis), there are some outliers plotted outside the whiskers of each box. I want to remove these outliers from the data frame itself, but I\'m not sure how R calculates outliers for its box plots. Below is an example