Welcome to kwarray’s documentation!¶
The kwarray
module implements a small set of pure-python extensions to
numpy and torch.
Function Usefulness¶
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- API Reference
kwarray
- Submodules
kwarray.algo_assignment
kwarray.algo_setcover
kwarray.arrayapi
- Module Contents
- Classes
- Functions
- Attributes
- torch
- _get_funcname
- _ImplRegistry
- _REGISTERY
- _torchmethod
- _numpymethod
- _apimethod
- TorchImpls
- is_tensor
- is_numpy
- ensure
- cat
- hstack
- vstack
- atleast_nd
- view
- take
- compress
- tile
- repeat
- T
- transpose
- numel
- full_like
- empty_like
- zeros_like
- ones_like
- full
- empty
- zeros
- ones
- argmax
- argsort
- max
- max_argmax
- maximum
- minimum
- sum
- nan_to_num
- copy
- nonzero
- astype
- tensor
- numpy
- tolist
- contiguous
- pad
- asarray
- dtype_kind
- floor
- ceil
- ifloor
- iceil
- round
- iround
- clip
- softmax
- NumpyImpls
- is_tensor
- is_numpy
- hstack
- vstack
- matmul
- nan_to_num
- log
- log2
- any
- all
- copy
- nonzero
- ensure
- clip
- cat
- atleast_nd
- view
- take
- compress
- repeat
- tile
- T
- transpose
- numel
- empty_like
- full_like
- zeros_like
- ones_like
- full
- empty
- zeros
- ones
- argmax
- argsort
- max
- max_argmax
- sum
- maximum
- minimum
- astype
- tensor
- numpy
- tolist
- contiguous
- pad
- asarray
- dtype_kind
- floor
- ceil
- ifloor
- iceil
- round
- iround
- softmax
- ArrayAPI
- _torch
- _numpy
- take
- compress
- repeat
- tile
- view
- numel
- atleast_nd
- full_like
- ones_like
- zeros_like
- empty_like
- sum
- argmax
- argsort
- max
- maximum
- minimum
- matmul
- astype
- nonzero
- nan_to_num
- tensor
- numpy
- tolist
- asarray
- asarray
- T
- transpose
- contiguous
- pad
- dtype_kind
- max_argmax
- any
- all
- log2
- log
- copy
- iceil
- ifloor
- floor
- ceil
- round
- iround
- clip
- softmax
- impl
- coerce
- cat
- hstack
- vstack
- TorchNumpyCompat
- _torch_dtype_lut
- dtype_info
- Module Contents
kwarray.dataframe_light
kwarray.distributions
kwarray.fast_rand
kwarray.util_averages
kwarray.util_groups
kwarray.util_misc
kwarray.util_numpy
kwarray.util_random
kwarray.util_slices
kwarray.util_slider
kwarray.util_torch
- Package Contents
- Classes
- Functions
- ArrayAPI
- _torch
- _numpy
- take
- compress
- repeat
- tile
- view
- numel
- atleast_nd
- full_like
- ones_like
- zeros_like
- empty_like
- sum
- argmax
- argsort
- max
- maximum
- minimum
- matmul
- astype
- nonzero
- nan_to_num
- tensor
- numpy
- tolist
- asarray
- asarray
- T
- transpose
- contiguous
- pad
- dtype_kind
- max_argmax
- any
- all
- log2
- log
- copy
- iceil
- ifloor
- floor
- ceil
- round
- iround
- clip
- softmax
- impl
- coerce
- cat
- hstack
- vstack
- dtype_info
- maxvalue_assignment
- mincost_assignment
- mindist_assignment
- setcover
- DataFrameArray
- DataFrameLight
- LocLight
- standard_normal
- standard_normal32
- standard_normal64
- uniform
- uniform32
- RunningStats
- stats_dict
- apply_grouping
- group_consecutive
- group_consecutive_indices
- group_indices
- group_items
- FlatIndexer
- arglexmax
- argmaxima
- argminima
- atleast_nd
- boolmask
- isect_flags
- iter_reduce_ufunc
- normalize
- ensure_rng
- random_combinations
- random_product
- seed_global
- shuffle
- embed_slice
- padded_slice
- SlidingWindow
- Stitcher
- one_hot_embedding
- one_hot_lookup
- ArrayAPI
- Submodules