Deepak Sadulla dsadulla
wolframalpha
/ autofit_outliertreatment.py
Last active
March 31, 2022 02:52
Function to remove or cap outliers in columns of a `pandas.DataFrame`
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| def treatoutliers(self, df=None, columns=None, factor=1.5, method='IQR', treament='cap'): | |
| """ | |
| Removes the rows from self.df whose value does not lies in the specified standard deviation | |
| :param columns: | |
| :param in_stddev: | |
| :return: | |
| """ | |
| # if not columns: | |
| # columns = self.mandatory_cols_ + self.optional_cols_ + [self.target_col] | |
| if not columns: |
vakila
/ LilLambda.ipynb
Last active
January 27, 2023 05:51
Anjana Vakil, "Mary had a little lambda", OSCON 2018 (https://conferences.oreilly.com/oscon/oscon-or/public/schedule/detail/67384) & EuroPython 2017 (https://youtu.be/7BsfMMYvGaU)
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| vif_func<-function(in_frame,thresh=10,trace=T,...){ | |
| library(fmsb) | |
| if(any(!'data.frame' %in% class(in_frame))) in_frame<-data.frame(in_frame) | |
| #get initial vif value for all comparisons of variables | |
| vif_init<-NULL | |
| var_names <- names(in_frame) | |
| for(val in var_names){ |