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Mastering Matplotlib PDF Deatils
|PDF Title:||Mastering Matplotlib|
|Total Page:||292 Pages|
|Author:||Duncan M. McGreggor|
|PDF Size:||3.7 MB|
Mastering Matplotlib – PDF description
We’ve just asked for all of the data—all of its 288 million rows. We are going to end up loading everything into the RAM, grinding the average workstation to a halt. Ideally though, when you iterate through the source data and create the HDF5 file, you also crunch the numbers that you will need, adding supplemental columns or groups to the HDF5 file that can be used later by you and your peers.
If we have data that we will mostly be selecting (extracting portions) and which has already been crunched and grouped as needed, HDF5 is a very good fit. This is why one of the most common use cases that you see for HDF5 is the sharing and distribution of the processed data.