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User Guide
API reference
Building from source
Development
Release notes
Learn
NEPs
Choose version
GitHub
Section Navigation
NumPy’s module structure
Array objects
Universal functions (
ufunc
)
Routines and objects by topic
Constants
Array creation routines
Array manipulation routines
numpy.copyto
numpy.ndim
numpy.shape
numpy.size
numpy.reshape
numpy.ravel
numpy.ndarray.flat
numpy.ndarray.flatten
numpy.moveaxis
numpy.rollaxis
numpy.swapaxes
numpy.ndarray.T
numpy.transpose
numpy.permute_dims
numpy.matrix_transpose
numpy.atleast_1d
numpy.atleast_2d
numpy.atleast_3d
numpy.broadcast
numpy.broadcast_to
numpy.broadcast_arrays
numpy.expand_dims
numpy.squeeze
numpy.asarray
numpy.asanyarray
numpy.asmatrix
numpy.asfortranarray
numpy.ascontiguousarray
numpy.asarray_chkfinite
numpy.require
numpy.concatenate
numpy.concat
numpy.stack
numpy.block
numpy.vstack
numpy.hstack
numpy.dstack
numpy.column_stack
numpy.split
numpy.array_split
numpy.dsplit
numpy.hsplit
numpy.vsplit
numpy.unstack
numpy.tile
numpy.repeat
numpy.delete
numpy.insert
numpy.append
numpy.resize
numpy.trim_zeros
numpy.unique
numpy.pad
numpy.flip
numpy.fliplr
numpy.flipud
numpy.roll
numpy.rot90
Bit-wise operations
String functionality
Datetime support functions
Data type routines
Mathematical functions with automatic domain
Floating point error handling
Exceptions and Warnings (
numpy.exceptions
)
Discrete Fourier Transform (
numpy.fft
)
Functional programming
Input and output
Indexing routines