Or: How writing efficient pandas code matters
I've regularly seen benchmarks that show how much faster Polars is compared to pandas. The fact that Polars is faster than pandas is not too surprising since it is multithreaded while pandas is mostly single-core. The big difference surprises me though. That's …
How the API is changing and how to leverage new functionalities
After 3 years of development, the second pandas 2.0 release candidate was released on the 16th of March. There are many new features in pandas 2.0, including improved extension array support, pyarrow support for DataFrames and …
Improve performance when selecting data from a pandas object
There exist different ways of selecting a subset of data from a pandas object. Depending on the specific operation, the result will either be a view pointing to the original data or a copy of the original data. This ties …
Get rid of annoying SettingWithCopyWarning messages
Indexing operations in pandas are quite flexible and thus, have many cases that can behave quite
different and therefore produce unexpected results. Additionally, it is hard to predict when a
SettingWithCopyWarningis raised and what this means exactly. I’ll show a couple of …
