aggregate-functions

Alternative of pd.NamedAgg to a code compliant with pandas 0.24.2? Question: When I’m trying to run my code, I’m facing the error: AttributeError: module ‘pandas’ has no attribute ‘NamedAgg’ . Can someone help me with the alternative of this?. Thanks My code: import pandas as pd import re df = pd.read_excel(‘testingfile.xlsx’) df_grouped = df.groupby([‘result_by’, ‘variable’]).agg(count_col=pd.NamedAgg(column=’variable’, …

pivot a pandas dataframe Question: I have a dataframe df = pd.DataFrame({‘date’:[‘2021-06′,’2021-06′,’2021-09′,’2021-08′,’2021-09′],’type’:[‘t1′,’t1′,’t1′,’t2′,’t2’], ‘other_col’:[‘a’,’b’,’b’,’a’,’c’]}) and would like to pivot it such that I get the following output. date 2021-06 2021-08 2021-09 t1 count 2 0 1 mean 100% 0% 50% t2 count 0 1 1 mean 0% 100% 50% But I could not find out how …

How to get rid of nested column names in Pandas from group by aggregation? Question: I have the following code that finds the total and unique sales for each employee using a group by with Employee_id and aggregation with Customer_id. Sales.groupby(‘Employee_id’).agg({ ‘Customer_id’: [ (‘total_sales’, ‘count’), (‘unique_sales’, ‘nunique’) ]}) It is important to know that I …

Applying a custom groupby aggregate function to output a binary outcome in pandas python Question: I have a dataset of trader transactions where the variable of interest is Buy/Sell which is binary and takes on the value of 1 f the transaction was a buy and 0 if it is a sell. An example looks …

Naming returned columns in Pandas aggregate function? Question: I’m having trouble with Pandas’ groupby functionality. I’ve read the documentation, but I can’t see to figure out how to apply aggregate functions to multiple columns and have custom names for those columns. This comes very close, but the data structure returned has nested column headings: data.groupby(“Country”).agg( …

Group/Count list of dictionaries based on value Question: I’ve got a list of Tokens which looks something like: [{ Value: “Blah”, StartOffset: 0, EndOffset: 4 }, … ] What I want to do is get a count of how many times each value occurs in the list of tokens. In VB.Net I’d do something like… …

Apply multiple functions to multiple groupby columns Question: The docs show how to apply multiple functions on a groupby object at a time using a dict with the output column names as the keys: In [563]: grouped[‘D’].agg({‘result1’ : np.sum, …..: ‘result2’ : np.mean}) …..: Out[563]: result2 result1 A bar -0.579846 -1.739537 foo -0.280588 -1.402938 However, …