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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
Bit-wise operations
String functionality
Datetime support functions
Data type routines
Mathematical functions with automatic domain
Floating point error handling
Exceptions and Warnings
Discrete Fourier Transform
Functional programming
Input and output
Indexing routines
Linear algebra
Logic functions
Masked array operations
Mathematical functions
Miscellaneous routines
Polynomials
Random sampling
Set routines
Sorting, searching, and counting
Statistics
numpy.ptp
numpy.percentile
numpy.nanpercentile
numpy.quantile
numpy.nanquantile
numpy.median
numpy.average
numpy.mean
numpy.std
numpy.var
numpy.nanmedian
numpy.nanmean
numpy.nanstd
numpy.nanvar
numpy.corrcoef
numpy.correlate
numpy.cov
numpy.histogram
numpy.histogram2d
numpy.histogramdd
numpy.bincount
numpy.histogram_bin_edges
numpy.digitize
Test support
Window functions
Typing (
numpy.typing
)
Packaging
NumPy C-API
Array API standard compatibility
CPU/SIMD optimizations
Thread Safety
Global Configuration Options
NumPy security
Testing guidelines
Status of
numpy.distutils
and migration advice
numpy.distutils
user guide
NumPy and SWIG
NumPy reference
Routines and objects by topic
Statistics
numpy.digitize
numpy.digitize
#
numpy.
digitize
(
x
,
bins
,
right
=
False
)
