I had started learning python long before I ever used R. Then I started a job where all the legacy codes were in R and I was kind of forced to learn R, albeit reluctantly. But once I get going, I found the language surprisingly good. Before learning python I had mostly used VBA and SAS. The one thing I started liking the most about R was the method chaining in dplyr....
We have covered seaborn object interface (https://datavizs.com/posts/python/seaborn_object_interface_24_08_06/) and how we can control properties like color, style, width etc. We also came across a situation where legend was messed up when we came across more complicated situations. We also tried to overcome some of those limitations using matplotlib. It was easy to manipulate seaborn plot with matplotlib because seaborn is built on top of matplotlib and the fig and ax are more natively accessible....
For data analysts and data scientists who have transitioned from R to Python, one of the most noticeable differences lies in the way these languages handle DataFrame operations. R users, especially those familiar with the dplyr package, often find themselves missing the simplicity and intuitiveness of R’s select function when they switch to Python’s pandas. This article explores why Python lacks a direct equivalent of R’s select function, the limitations of using the available alternatives, and how a custom select method can make the transition smoother while enhancing the efficiency of pandas method chaining....