Tags / pandas
To calculate the sum of sales for each salesman in a month before their training date, we need to group by "salesman" and "transaction_month", then apply the aggregation function `sum` to the 'sales' column.
Separating Keywords and @ Mentions from Dataset in Python Using Regular Expressions
Converting Pandas Series to List of Dictionaries
Creating Charts in Python Using xlsxwriter: A Step-by-Step Guide
Grouping Data by User and Calculating the Sum of Product Values Using Pandas
Unlocking Pandas Assignment Operators: &=, |=, ~
Handling Missing Bin Values When Using pd.cut Function in Python
Conditionally Changing Column Values in a Pandas DataFrame: A Step-by-Step Guide with Examples
Optimizing Speed when Importing Large Excel Files into Pandas DataFrames
Understanding the Problem with Parsing Nested XML Files Using Python and lxml Library