Howtosignalprocessing
- How do I speed up pandas apply function?
- Is apply faster than Itertuples?
- Why is pandas apply so slow?
How do I speed up pandas apply function?
You can speed up the execution even faster by using another trick: making your pandas' dataframes lighter by using more efficent data types. As we know that df only contains integers from 1 to 10, we can then reduce the data type from 64 bits to 16 bits. See how we reduced the size of our dataframe from 38MB to 9.5MB.
Is apply faster than Itertuples?
While slower than apply , itertuples is quicker than iterrows , so if looping is required, try implementing itertuples instead. Using map as a vectorized solution gives even faster results.
Why is pandas apply so slow?
Pandas: The Pandas library runs on a single thread and it doesn't parallelize the task. Thus, if you are doing lots of computation or data manipulation on your Pandas dataframe, it can be pretty slow and can quickly become a bottleneck. Apply(): The Pandas apply() function is slow!
