- Ease of use: I can simply read a file by typing read_excel('name.xlsx') and that's it.
- Ability to manage all kinds of data for all kind of needs. You have multi-indexed data and you want to sort in a hierarchical way? No problem, pandas has a solution for that, just as it does for everything you do.
- It is based on NumPy so it works very efficiently thanks to vectorized background, that's very precious when working with huge amount of data.
- It is also based on Matplotlib which makes visualization very convenient. I can simply go write df['data'].hist() to plot histogram or df['data'].plot() for line plot or df['data'].plot(kind = 'bar') for bar plot, without being have to deal with a lot of parameters.
AZ
Asad Z.
5G/VoLTE/LTE RF Optimization, Function Analyst and AI Assisted Performance Enhancement Engineer
I like pandas python a lot because this library lets me automate various tasks with a programming language that I would otherwise have to do by hand in Microsoft Excel. Now i just write programs to do the work.