Search results
16 lut 2016 · I would use a simple function like: def f(x): if x <= 8000: x = 'Normal Employee' elif 8000 < x <= 25000: x = 'Experienced Employee' return x and then apply it to the df: df['position'] = df['salary'].apply(f)
In this video, we explore how to use Pandas alongside the VBA library in Python. This will allow us to seamlessly transfer data to Pandas, transform it, and sent it right back to Excel...
3 cze 2022 · As my last example let us compare how you can create custom functions in VBA vs Python. Functions in VBA. In VBA we always need to be clear whether we are defining a subroutine or a function. For Functions if you want to specify an undefined number of arguments you can use the ParamArray.
17 maj 2023 · VBA is a programming language integrated within Microsoft Office applications like Excel, while Pandas is a Python library specifically designed for data manipulation and analysis. Both tools...
20 maj 2024 · Python, with libraries like openpyxl and pandas, offers robust capabilities for spreadsheet manipulation and analysis, outperforming VBA in these areas. Python’s comprehensive data analysis libraries provide a vast array of tools specifically designed for data manipulation, cleaning, statistical analysis, machine learning, and visualization.
7 sie 2023 · Some of the most used Pandas functions for data analysis include: `read_csv ()`: Load data from a CSV file. `fillna ()`: Replace missing values in a DataFrame. `mean ()`: Calculate the mean of a Series or DataFrame. `std ()`: Calculate the standard deviation of a Series or DataFrame.
13 wrz 2021 · Declarations are nonexecutable code statements that name external procedures, constants, or variables and define their attributes (such as data type). You write declarations for form, standard, or class modules. To enter module-level declarations, go to the Declarations section of a module.
