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Tag: pandas

Python: for loop that drops a column to meet condition

I have a dataframe that looks as follows: Beta is calculated as ((sum of each row)^2)/10. I want to keep dropping columns until Beta is less than or equal to 1 for all rows. So far I have How can I stop the loop when all values of beta are below or equal to 1? Answer First of all, if

Pandas array filter NaN and keep the first value in group

I have the following pandas dataframe. There are many NaN but there are lots of NaN value (I skipped the NaN value to make it look shorter). I would like to filter all the NaN value and also only keep the first value out of the NaN (e.g. from index 27-29 there are three values, I would like to keep

Days between dates into minimum non-date measurement

I have a column that represents the number of days from an event until today. I am trying to figure out a way to represent this as a string such that it shows the rounded number of days / weeks / months / years. However, I would like it to choose “D”/”W”/”M”/”Y”…

Updating values within python column based on date

I have a dataset where I would like to replace and update values within a column when a data condition is met. Data Desired Doing Still researching, any suggestion is appreciated- Perhaps I need to convert quarters to datetime longdate and base the condition off of this column. Answer here is one way to do it…