Quickstart
What is an Awkward Array?
Converting arrays
NumPy
Python objects
JSON
ROOT via Uproot
Arrow and Parquet
Pandas
Generic buffers
Creating new arrays
ArrayBuilder (easy & general)
Layout (faster)
Unflattening and grouping
Arrays of records
Arrays of strings
Arrays of categories
Lazy arrays
Partitioned arrays
Examining arrays
Data type
Single item detail
Listing fields/keys/columns
Simple slicing
Checking validity
Numerical math
NumPy functions
Awkward broadcasting
Reducing (sum/min/any/all)
Statistics (mean/var/std)
Using argmin/argmax
On GPUs
Filtering data
By number of items
Cuts vs. masks
Slicing lists within arrays
Slices with missing values
Restructuring data
Zip/unzip and project
Adding fields to records
Renaming records
Flattening for plots
Padding/clipping for machine learning
Concatenating and interleaving
Sorting
Combinatorics
Cartesian product and "n choose k"
Best match between collections
Using arrays in Numba
Supported features
Building array output
Specialized behavior
Subclassing Array/Record
Overriding NumPy functions
In Numba
For physics: Lorentz vectors
.md
.pdf
repository
open issue
suggest edit
Filtering data
ΒΆ
By number of items
Cuts vs. masks
Slicing lists within arrays
Slices with missing values
How to use Awkward Arrays on GPUs
How to filter arrays by number of items
