Do Group by on one column and then split the group on categorical column's 2 specific values and the finally get the First and last records Question: After group by on Id column, I would like to split the group again on a categorical column’s 2 specific values and the the get the first and …
Drop a row when a column value is duplicated if another column meets a criteria Question: I have a DataFrame where I want to drop a row (or rows) where more than one consecutive row has the same value for a column based on the value of a different column. In this instance, I want …
How to get Dataframe after applying groupby and should not be in list or string in python Question: Phone_no Date Problem 1 2020-01-19 G 1 2020-01-19 A 1 2020-01-27 B 1 2020-01-28 C 1 2020-01-28 H 2 2020-01-19 T 3 2020-01-04 U 3 2020-01-22 P 4 2020-01-12 E 5 2020-01-01 G 5 2020-01-11 A 2 …
From Dummy to a List pandas Question: I have a dataframe with many dummy variables. Instead of having a lot of different dummy columns, I want only one column and each row needs to contain a string with only the dummy variable equal to 1. index a b c 0 1 1 1 1 0 …
Groupby sample pandas with keeping the groups lower than n if applicable Question: I have a dataset, on which I want to do sampling after groupby. In general it can be achieved with df.groupby("some_id").sample(n=100) . But the problem is that some groups have less than 100 samples (and yes replace=True is a choice but what …
Filter non-duplicated records in Python-pandas, based on group-by column and row-level comparison Question: This is a complicated issue and I am not able to figure this out, and I really appreciate your help in this. The below dataframe is generated from a pandas function DataFrame.duplicated(), based on ‘Loc'(groupby) and ‘Category’ repeated records are marked as …
Python Pandas shift by given value in cell within groupby Question: Given the following dataframe df = pd.DataFrame(data={‘name’: [‘a’, ‘a’, ‘a’, ‘b’, ‘b’, ‘b’, ‘b’, ‘c’, ‘c’, ‘c’], ‘lag’: [1, 1, 1, 2, 2, 2, 2, 2, 2, 2], ‘value’: range(10)}) print(df) lag name value 0 1 a 0 1 1 a 1 2 1 …
Convert SAS proc sql to Python(pandas) Question: I rewrite some code from SAS to Python using Pandas library. I’ve got such code, and I have no idea what should I do with it? Can you help me, beacase its too complicated for me to do it correct. I’ve changed the name of columns (for encrypt …
Split one excel file into multiple with specific number of rows in Pandas Question: Let’s say I have an excel file with 101 rows, I need to split and write into 11 excel files with equivalent row number 10 for each new file, except the last one since there is only one row left. This …
Phyton: How to get the average of the n largest values for each column grouped by id Question: I’m trying to get the mean for each column while grouped by id. But I don’t get it to work as I want to. The data: ID Property3 Property2 Property3 1 10.2 … … 1 20.1 1 …
