numpy manual contents — numericalpython v1

08/06/13 Numpy manual contents NumPy v1.7 Manual (DRAFT)

docs.scipy.org/doc/numpy/contents.html 1/53

Numpy manual contentsNumPy User Guide

IntroductionWhat is NumPy?Building and installing NumPy

Binary installersWindowsLinuxMac OS X

Building from sourcePrerequisitesFORTRAN ABI mismatch

Choosing the fortran compilerHow to check the ABI of blas/lapack/atlas

Disabling ATLAS and other accelerated librariesSupplying additional compiler flagsBuilding with ATLAS support

Ubuntu 8.10 (Intrepid) and 9.04 (Jaunty)Ubuntu 8.04 and lower

How to find documentation

Numpy basicsData types

Array types and conversions between types

Array ScalarsArray creation

IntroductionConverting Python array_like Objects to Numpy ArraysIntrinsic Numpy Array CreationReading Arrays From Disk

Standard Binary FormatsCommon ASCII FormatsCustom Binary Formats

Use of Special Libraries

I/O with NumpyImporting data with genfromtxt

Defining the inputSplitting the lines into columns

The delimiter argument

The autostrip argument

The comments argument

Skipping lines and choosing columnsThe skip_header and skip_footer arguments

The usecols argument

Choosing the data typeSetting the names

The names argument

The defaultfmt argument

Validating namesTweaking the conversion

The converters argument

Using missing and filling valuesmissing_values

filling_values

usemask



Shortcut functionsIndexing

Assignment vs referencingSingle element indexingOther indexing optionsIndex arraysIndexing Multi-dimensional arraysBoolean or mask index arraysCombining index arrays with slicesStructural indexing tools

Assigning values to indexed arraysDealing with variable numbers of indices within programs

BroadcastingGeneral Broadcasting Rules

Byte-swappingIntroduction to byte ordering and ndarraysChanging byte ordering

Data and dtype endianness dont match, change dtype to match dataData and type endianness dont match, change data to match dtype

Data and dtype endianness match, swap data and dtypeStructured arrays (aka Record arrays)

Structured Arrays (and Record Arrays)IntroductionDefining Structured ArraysAccessing and modifying field namesAccessing field titlesAccessing multiple fields at onceFilling structured arraysMore information

Subclassing ndarrayCreditsIntroduction

ndarrays and object creationView castingCreating new from templateRelationship of view casting and new-from-templateImplications for subclassing

A brief Python primer on __new__ and __init__

The role of __array_finalize__

Simple example - adding an extra attribute to ndarraySlightly more realistic example - attribute added to existing array__array_wrap__ for ufuncs

Extra gotchas - custom __del__ methods and ndarray.base

PerformanceMiscellaneous

IEEE 754 Floating Point Special Values:How numpy handles numerical exceptions:Examples:

Interfacing to C:Interfacing to Fortran:Interfacing to C++:Methods vs. Functions

Using Numpy C-APIHow to extend NumPy

Writing an extension moduleRequired subroutineDefining functions



Functions without keyword argumentsFunctions with keyword argumentsReference counting

Dealing with array objectsConverting an arbitrary sequence objectCreating a brand-new ndarrayGetting at ndarray memory and accessing elements of the ndarray

ExampleUsing Python as glue

Calling other compiled libraries from PythonHand-generated wrappersf2py

Creating source for a basic extension moduleCreating a compiled extension moduleImproving the basic interfaceInserting directives in Fortran sourceA filtering exampleCalling f2py from PythonAutomatic extension module generationConclusion

weaveSpeed up code involving arrays (also see scipy.numexpr)Inline C-codeSimplify creation of an extension moduleConclusion

PyrexPyrex-addPyrex-filterConclusion

ctypesHaving a shared libraryLoading the shared libraryConverting argumentsCalling the functionComplete exampleConclusion

Additional tools you may find usefulSWIGSIPBoost PythonInstantPyInlinePyFort

Writing your own ufuncCreating a new universal functionExample Non-ufunc extensionExample Numpy ufunc for one dtypeExample Numpy ufunc with multiple dtypesExample Numpy ufunc with multiple arguments/return valuesPyUFunc_FromFuncAndData Specification

Beyond the BasicsIterating over elements in the array

Basic Iteration

Iterating over all but one axisIterating over multiple arraysBroadcasting over multiple arrays

User-defined data-types



Adding the new data-typeRegistering a casting functionRegistering coercion rulesRegistering a ufunc loop

Subtyping the ndarray in CCreating sub-typesSpecific features of ndarray sub-typing

The __array_finalize__ methodThe __array_priority__ attributeThe __array_wrap__ method

NumPy ReferenceArray objects

The N-dimensional array (ndarray)

Constructing arraysnumpy.ndarray

numpy.ndarray.Tnumpy.ndarray.datanumpy.ndarray.dtypenumpy.ndarray.flagsnumpy.ndarray.flatnumpy.ndarray.imagnumpy.ndarray.realnumpy.ndarray.sizenumpy.ndarray.itemsizenumpy.ndarray.nbytesnumpy.ndarray.ndimnumpy.ndarray.shapenumpy.ndarray.stridesnumpy.ndarray.ctypesnumpy.ndarray.basenumpy.ndarray.allnumpy.ndarray.anynumpy.ndarray.argmaxnumpy.ndarray.argminnumpy.ndarray.argsortnumpy.ndarray.astypenumpy.ndarray.byteswapnumpy.ndarray.choosenumpy.ndarray.clip

numpy.ndarray.compressnumpy.ndarray.conjnumpy.ndarray.conjugatenumpy.ndarray.copynumpy.ndarray.cumprodnumpy.ndarray.cumsumnumpy.ndarray.diagonalnumpy.ndarray.dotnumpy.ndarray.dumpnumpy.ndarray.dumpsnumpy.ndarray.fillnumpy.ndarray.flattennumpy.ndarray.getfieldnumpy.ndarray.itemnumpy.ndarray.itemsetnumpy.ndarray.maxnumpy.ndarray.meannumpy.ndarray.min



numpy.ndarray.newbyteordernumpy.ndarray.nonzeronumpy.ndarray.prodnumpy.ndarray.ptpnumpy.ndarray.putnumpy.ndarray.ravelnumpy.ndarray.repeatnumpy.ndarray.reshapenumpy.ndarray.resizenumpy.ndarray.roundnumpy.ndarray.searchsorted

numpy.ndarray.setfieldnumpy.ndarray.setflagsnumpy.ndarray.sortnumpy.ndarray.squeezenumpy.ndarray.stdnumpy.ndarray.sumnumpy.ndarray.swapaxesnumpy.ndarray.takenumpy.ndarray.tofilenumpy.ndarray.tolistnumpy.ndarray.tostringnumpy.ndarray.tracenumpy.ndarray.transposenumpy.ndarray.varnumpy.ndarray.view

Indexing arraysInternal memory layout of an ndarrayArray attributes

Memory layoutnumpy.ndarray.flagsnumpy.ndarray.shapenumpy.ndarray.stridesnumpy.ndarray.ndimnumpy.ndarray.datanumpy.ndarray.sizenumpy.ndarray.itemsizenumpy.ndarray.nbytesnumpy.ndarray.base

Data typenumpy.ndarray.dtype

Other attributesnumpy.ndarray.Tnumpy.ndarray.realnumpy.ndarray.imagnumpy.ndarray.flatnumpy.ndarray.ctypes

Array interfacectypes foreign function interface

numpy.ndarray.ctypesArray methods

Array conversionnumpy.ndarray.itemnumpy.ndarray.tolistnumpy.ndarray.itemset

numpy.ndarray.tostringnumpy.ndarray.tofile



numpy.ndarray.dumpnumpy.ndarray.dumpsnumpy.ndarray.astypenumpy.ndarray.byteswapnumpy.ndarray.copynumpy.ndarray.viewnumpy.ndarray.getfieldnumpy.ndarray.setflagsnumpy.ndarray.fill

Shape manipulationnumpy.ndarray.reshapenumpy.ndarray.resizenumpy.ndarray.transposenumpy.ndarray.swapaxesnumpy.ndarray.flattennumpy.ndarray.ravelnumpy.ndarray.squeeze

Item selection and manipulationnumpy.ndarray.takenumpy.ndarray.putnumpy.ndarray.repeatnumpy.ndarray.choosenumpy.ndarray.sortnumpy.ndarray.argsortnumpy.ndarray.searchsortednumpy.ndarray.nonzeronumpy.ndarray.compressnumpy.ndarray.diagonal

Calculationnumpy.ndarray.argmaxnumpy.ndarray.minnumpy.ndarray.argminnumpy.ndarray.ptpnumpy.ndarray.clipnumpy.ndarray.conjnumpy.ndarray.roundnumpy.ndarray.tracenumpy.ndarray.sumnumpy.ndarray.cumsumnumpy.ndarray.meannumpy.ndarray.varnumpy.ndarray.stdnumpy.ndarray.prodnumpy.ndarray.cumprodnumpy.ndarray.allnumpy.ndarray.any

Arithmetic and comparison operationsnumpy.ndarray.__lt__numpy.ndarray.__le__numpy.ndarray.__gt__numpy.ndarray.__ge__numpy.ndarray.__eq__numpy.ndarray.__ne__numpy.ndarray.__nonzero__numpy.ndarray.__neg__numpy.ndarray.__pos__numpy.ndarray.__abs__



numpy.ndarray.__invert__numpy.ndarray.__add__numpy.ndarray.__sub__numpy.ndarray.__mul__numpy.ndarray.__div__numpy.ndarray.__truediv__numpy.ndarray.__floordiv__numpy.ndarray.__mod__numpy.ndarray.__divmod__numpy.ndarray.__pow__numpy.ndarray.__lshift__numpy.ndarray.__rshift__numpy.ndarray.__and__numpy.ndarray.__or__numpy.ndarray.__xor__numpy.ndarray.__iadd__numpy.ndarray.__isub__numpy.ndarray.__imul__numpy.ndarray.__idiv__numpy.ndarray.__itruediv__numpy.ndarray.__ifloordiv__numpy.ndarray.__imod__numpy.ndarray.__ipow__numpy.ndarray.__ilshift__numpy.ndarray.__irshift__numpy.ndarray.__iand__numpy.ndarray.__ior__numpy.ndarray.__ixor__

Special methodsnumpy.ndarray.__copy__numpy.ndarray.__deepcopy__numpy.ndarray.__reduce__numpy.ndarray.__setstate__numpy.ndarray.__new__numpy.ndarray.__array__numpy.ndarray.__array_wrap__numpy.ndarray.__len__numpy.ndarray.__getitem__numpy.ndarray.__setitem__numpy.ndarray.__getslice__numpy.ndarray.__setslice__numpy.ndarray.__contains__numpy.ndarray.__int__numpy.ndarray.__long__numpy.ndarray.__float__numpy.ndarray.__oct__numpy.ndarray.__hex__numpy.ndarray.__str__numpy.ndarray.__repr__

ScalarsBuilt-in scalar typesAttributes

numpy.generic.flagsnumpy.generic.shapenumpy.generic.stridesnumpy.generic.ndimnumpy.generic.data



numpy.generic.sizenumpy.generic.itemsizenumpy.generic.basenumpy.generic.dtypenumpy.generic.realnumpy.generic.imagnumpy.generic.flatnumpy.generic.Tnumpy.generic.__array_interface__numpy.generic.__array_struct__numpy.generic.__array_priority__numpy.generic.__array_wrap__

IndexingMethods

numpy.genericnumpy.generic.allnumpy.generic.anynumpy.generic.argmaxnumpy.generic.argminnumpy.generic.argsortnumpy.generic.astypenumpy.generic.byteswapnumpy.generic.choosenumpy.generic.clipnumpy.generic.compressnumpy.generic.conjnumpy.generic.conjugatenumpy.generic.copynumpy.generic.cumprodnumpy.generic.cumsumnumpy.generic.diagonalnumpy.generic.dumpnumpy.generic.dumpsnumpy.generic.fillnumpy.generic.flattennumpy.generic.getfieldnumpy.generic.itemnumpy.generic.itemsetnumpy.generic.maxnumpy.generic.meannumpy.generic.minnumpy.generic.newbyteordernumpy.generic.nonzeronumpy.generic.prodnumpy.generic.ptpnumpy.generic.putnumpy.generic.ravelnumpy.generic.repeatnumpy.generic.reshapenumpy.generic.resizenumpy.generic.roundnumpy.generic.searchsortednumpy.generic.setfieldnumpy.generic.setflagsnumpy.generic.sortnumpy.generic.squeezenumpy.generic.std



numpy.generic.sumnumpy.generic.swapaxesnumpy.generic.takenumpy.generic.tofilenumpy.generic.tolistnumpy.generic.tostringnumpy.generic.tracenumpy.generic.transposenumpy.generic.varnumpy.generic.view

numpy.generic.__array__numpy.generic.__array_wrap__numpy.generic.squeezenumpy.generic.byteswapnumpy.generic.__reduce__numpy.generic.__setstate__numpy.generic.setflags

Defining new typesData type objects (dtype)

Specifying and constructing data typesnumpy.dtype

numpy.dtype.newbyteorderdtype

Attributesnumpy.dtype.typenumpy.dtype.kindnumpy.dtype.charnumpy.dtype.numnumpy.dtype.strnumpy.dtype.namenumpy.dtype.itemsizenumpy.dtype.byteordernumpy.dtype.fieldsnumpy.dtype.namesnumpy.dtype.subdtypenumpy.dtype.shapenumpy.dtype.hasobjectnumpy.dtype.flagsnumpy.dtype.isbuiltinnumpy.dtype.isnativenumpy.dtype.descrnumpy.dtype.alignment

Methodsnumpy.dtype.newbyteordernumpy.dtype.__reduce__numpy.dtype.__setstate__

IndexingBasic SlicingAdvanced indexing

IntegerBoolean

Record AccessFlat Iterator indexing

Iterating Over ArraysSingle Array Iteration

Controlling Iteration OrderModifying Array Values



Using an External LoopTracking an Index or Multi-IndexBuffering the Array ElementsIterating as a Specific Data Type

Broadcasting Array IterationIterator-Allocated Output ArraysOuter Product IterationReduction Iteration

Putting the Inner Loop in CythonStandard array subclasses

Special attributes and methodsMatrix objects

numpy.matrix.Tnumpy.matrix.Hnumpy.matrix.Inumpy.matrix.Anumpy.matrix

numpy.matrix.allnumpy.matrix.anynumpy.matrix.argmaxnumpy.matrix.argminnumpy.matrix.argsortnumpy.matrix.astypenumpy.matrix.byteswapnumpy.matrix.choosenumpy.matrix.clipnumpy.matrix.compressnumpy.matrix.conjnumpy.matrix.conjugatenumpy.matrix.copynumpy.matrix.cumprodnumpy.matrix.cumsumnumpy.matrix.diagonalnumpy.matrix.dotnumpy.matrix.dumpnumpy.matrix.dumpsnumpy.matrix.fillnumpy.matrix.flattennumpy.matrix.getAnumpy.matrix.getA1numpy.matrix.getHnumpy.matrix.getInumpy.matrix.getTnumpy.matrix.getfieldnumpy.matrix.itemnumpy.matrix.itemsetnumpy.matrix.maxnumpy.matrix.meannumpy.matrix.minnumpy.matrix.newbyteordernumpy.matrix.nonzeronumpy.matrix.prodnumpy.matrix.ptpnumpy.matrix.putnumpy.matrix.ravelnumpy.matrix.repeatnumpy.matrix.reshape



numpy.matrix.resizenumpy.matrix.roundnumpy.matrix.searchsortednumpy.matrix.setfieldnumpy.matrix.setflagsnumpy.matrix.sortnumpy.matrix.squeezenumpy.matrix.stdnumpy.matrix.sumnumpy.matrix.swapaxesnumpy.matrix.takenumpy.matrix.tofilenumpy.matrix.tolistnumpy.matrix.tostringnumpy.matrix.tracenumpy.matrix.transposenumpy.matrix.varnumpy.matrix.view

numpy.asmatrixnumpy.bmat

Memory-mapped file arraysnumpy.memmapnumpy.memmap.flush

Character arrays (numpy.char)

numpy.chararraynumpy.chararray.astype

numpy.chararray.argsortnumpy.chararray.copy

numpy.chararray.countnumpy.chararray.decode

numpy.chararray.dumpnumpy.chararray.dumps

numpy.chararray.encodenumpy.chararray.endswith

numpy.chararray.expandtabsnumpy.chararray.fill

numpy.chararray.findnumpy.chararray.flatten

numpy.chararray.getfieldnumpy.chararray.index

numpy.chararray.isalnumnumpy.chararray.isalpha

numpy.chararray.isdecimalnumpy.chararray.isdigit

numpy.chararray.islowernumpy.chararray.isnumeric

numpy.chararray.isspacenumpy.chararray.istitle

numpy.chararray.isuppernumpy.chararray.item

numpy.chararray.joinnumpy.chararray.ljust

numpy.chararray.lowernumpy.chararray.lstrip

numpy.chararray.nonzeronumpy.chararray.put

numpy.chararray.ravel



numpy.chararray.repeatnumpy.chararray.replace

numpy.chararray.reshapenumpy.chararray.resize

numpy.chararray.rfindnumpy.chararray.rindex

numpy.chararray.rjustnumpy.chararray.rsplit

numpy.chararray.rstripnumpy.chararray.searchsorted

numpy.chararray.setfieldnumpy.chararray.setflags

numpy.chararray.sortnumpy.chararray.split

numpy.chararray.splitlinesnumpy.chararray.squeeze

numpy.chararray.startswithnumpy.chararray.strip

numpy.chararray.swapaxesnumpy.chararray.swapcase

numpy.chararray.takenumpy.chararray.title

numpy.chararray.tofilenumpy.chararray.tolist

numpy.chararray.tostringnumpy.chararray.translate

numpy.chararray.transposenumpy.chararray.upper

numpy.chararray.viewnumpy.chararray.zfill

numpy.core.defchararray.arrayRecord arrays (numpy.rec)

numpy.recarray

numpy.recarray.allnumpy.recarray.any

numpy.recarray.argmaxnumpy.recarray.argmin

numpy.recarray.argsortnumpy.recarray.astype

numpy.recarray.byteswapnumpy.recarray.choose

numpy.recarray.clipnumpy.recarray.compress

numpy.recarray.conjnumpy.recarray.conjugate

numpy.recarray.copynumpy.recarray.cumprod

numpy.recarray.cumsumnumpy.recarray.diagonal

numpy.recarray.dotnumpy.recarray.dump

numpy.recarray.dumpsnumpy.recarray.field

numpy.recarray.fillnumpy.recarray.flatten

numpy.recarray.getfieldnumpy.recarray.item



numpy.recarray.itemset

numpy.recarray.maxnumpy.recarray.mean

numpy.recarray.minnumpy.recarray.newbyteorder

numpy.recarray.nonzeronumpy.recarray.prod

numpy.recarray.ptpnumpy.recarray.put

numpy.recarray.ravelnumpy.recarray.repeat

numpy.recarray.reshapenumpy.recarray.resize

numpy.recarray.roundnumpy.recarray.searchsorted

numpy.recarray.setfieldnumpy.recarray.setflags

numpy.recarray.sortnumpy.recarray.squeeze

numpy.recarray.stdnumpy.recarray.sum

numpy.recarray.swapaxesnumpy.recarray.take

numpy.recarray.tofilenumpy.recarray.tolist

numpy.recarray.tostringnumpy.recarray.trace

numpy.recarray.transposenumpy.recarray.var

numpy.recarray.viewnumpy.record

numpy.record.allnumpy.record.any

numpy.record.argmaxnumpy.record.argmin

numpy.record.argsortnumpy.record.astype

numpy.record.byteswapnumpy.record.choose

numpy.record.clipnumpy.record.compress

numpy.record.conjnumpy.record.conjugate

numpy.record.copynumpy.record.cumprod

numpy.record.cumsumnumpy.record.diagonal

numpy.record.dumpnumpy.record.dumps

numpy.record.fillnumpy.record.flatten

numpy.record.getfieldnumpy.record.item

numpy.record.itemsetnumpy.record.max

numpy.record.meannumpy.record.min



numpy.record.newbyteordernumpy.record.nonzero

numpy.record.pprintnumpy.record.prod

numpy.record.ptpnumpy.record.put

numpy.record.ravelnumpy.record.repeat

numpy.record.reshapenumpy.record.resize

numpy.record.roundnumpy.record.searchsorted

numpy.record.setfieldnumpy.record.setflags

numpy.record.sortnumpy.record.squeeze

numpy.record.stdnumpy.record.sum

numpy.record.swapaxesnumpy.record.take

numpy.record.tofilenumpy.record.tolist

numpy.record.tostringnumpy.record.trace

numpy.record.transposenumpy.record.var

numpy.record.viewMasked arrays (numpy.ma)

Standard container class

numpy.lib.user_array.containernumpy.lib.user_array.container.astype

numpy.lib.user_array.container.byteswapnumpy.lib.user_array.container.copy

numpy.lib.user_array.container.tostringArray Iterators

Default iterationFlat iteration

numpy.ndarray.flatN-dimensional enumeration

numpy.ndenumeratenumpy.ndenumerate.next

Iterator for broadcastingnumpy.broadcast

numpy.broadcast.nextnumpy.broadcast.reset

Masked arraysThe numpy.ma module

RationaleWhat is a masked array?

The numpy.ma module

Using numpy.maConstructing masked arrays

numpy.ma.arraynumpy.ma.masked_array

numpy.ma.asarraynumpy.ma.asanyarray

numpy.ma.fix_invalid



numpy.ma.masked_equal

numpy.ma.masked_greaternumpy.ma.masked_greater_equal

numpy.ma.masked_insidenumpy.ma.masked_invalid

numpy.ma.masked_lessnumpy.ma.masked_less_equal

numpy.ma.masked_not_equalnumpy.ma.masked_object

numpy.ma.masked_outsidenumpy.ma.masked_values

numpy.ma.masked_whereAccessing the data

Accessing the maskAccessing only the valid entries

Modifying the maskMasking an entry

Unmasking an entryIndexing and slicing

Operations on masked arraysExamples

Data with a given value representing missing dataFilling in the missing data

Numerical operationsIgnoring extreme values

Constants of the numpy.ma module

The MaskedArray class

Attributes and properties of masked arrays

numpy.ma.MaskedArray.basenumpy.ma.MaskedArray.ctypes

numpy.ma.MaskedArray.dtypenumpy.ma.MaskedArray.flags

numpy.ma.MaskedArray.itemsizenumpy.ma.MaskedArray.nbytes

numpy.ma.MaskedArray.ndimnumpy.ma.MaskedArray.shape

numpy.ma.MaskedArray.sizenumpy.ma.MaskedArray.strides

numpy.ma.MaskedArray.imagnumpy.ma.MaskedArray.real

numpy.ma.MaskedArray.flatnumpy.ma.MaskedArray.__array_priority__

MaskedArray methods

Conversionnumpy.ma.MaskedArray.__float__

numpy.ma.MaskedArray.__hex__numpy.ma.MaskedArray.__int__

numpy.ma.MaskedArray.__long__numpy.ma.MaskedArray.__oct__

numpy.ma.MaskedArray.viewnumpy.ma.MaskedArray.astype

numpy.ma.MaskedArray.byteswapnumpy.ma.MaskedArray.compressed

numpy.ma.MaskedArray.fillednumpy.ma.MaskedArray.tofile

numpy.ma.MaskedArray.toflexnumpy.ma.MaskedArray.tolist



numpy.ma.MaskedArray.torecordsnumpy.ma.MaskedArray.tostring

Shape manipulationnumpy.ma.MaskedArray.flatten

numpy.ma.MaskedArray.ravelnumpy.ma.MaskedArray.reshape

numpy.ma.MaskedArray.resizenumpy.ma.MaskedArray.squeeze

numpy.ma.MaskedArray.swapaxesnumpy.ma.MaskedArray.transpose

numpy.ma.MaskedArray.TItem selection and manipulation

numpy.ma.MaskedArray.argmaxnumpy.ma.MaskedArray.argmin

numpy.ma.MaskedArray.argsortnumpy.ma.MaskedArray.choose

numpy.ma.MaskedArray.compressnumpy.ma.MaskedArray.diagonal

numpy.ma.MaskedArray.fillnumpy.ma.MaskedArray.item

numpy.ma.MaskedArray.nonzeronumpy.ma.MaskedArray.put

numpy.ma.MaskedArray.repeatnumpy.ma.MaskedArray.searchsorted

numpy.ma.MaskedArray.sortnumpy.ma.MaskedArray.take

Pickling and copynumpy.ma.MaskedArray.copy

numpy.ma.MaskedArray.dumpnumpy.ma.MaskedArray.dumps

Calculationsnumpy.ma.MaskedArray.all

numpy.ma.MaskedArray.anomnumpy.ma.MaskedArray.any

numpy.ma.MaskedArray.clipnumpy.ma.MaskedArray.conj

numpy.ma.MaskedArray.conjugatenumpy.ma.MaskedArray.cumprod

numpy.ma.MaskedArray.cumsumnumpy.ma.MaskedArray.max

numpy.ma.MaskedArray.meannumpy.ma.MaskedArray.min

numpy.ma.MaskedArray.prodnumpy.ma.MaskedArray.product

numpy.ma.MaskedArray.ptpnumpy.ma.MaskedArray.round

numpy.ma.MaskedArray.stdnumpy.ma.MaskedArray.sum

numpy.ma.MaskedArray.tracenumpy.ma.MaskedArray.var

Arithmetic and comparison operationsComparison operators:

numpy.ma.MaskedArray.__lt__numpy.ma.MaskedArray.__le__

numpy.ma.MaskedArray.__gt__numpy.ma.MaskedArray.__ge__

numpy.ma.MaskedArray.__eq__



numpy.ma.MaskedArray.__ne__Truth value of an array (bool):

numpy.ma.MaskedArray.__nonzero__

Arithmetic:numpy.ma.MaskedArray.__abs__

numpy.ma.MaskedArray.__add__numpy.ma.MaskedArray.__radd__

numpy.ma.MaskedArray.__sub__numpy.ma.MaskedArray.__rsub__

numpy.ma.MaskedArray.__mul__numpy.ma.MaskedArray.__rmul__

numpy.ma.MaskedArray.__div__numpy.ma.MaskedArray.__rdiv__

numpy.ma.MaskedArray.__truediv__numpy.ma.MaskedArray.__rtruediv__

numpy.ma.MaskedArray.__floordiv__numpy.ma.MaskedArray.__rfloordiv__

numpy.ma.MaskedArray.__mod__numpy.ma.MaskedArray.__rmod__

numpy.ma.MaskedArray.__divmod__numpy.ma.MaskedArray.__rdivmod__

numpy.ma.MaskedArray.__pow__numpy.ma.MaskedArray.__rpow__

numpy.ma.MaskedArray.__lshift__numpy.ma.MaskedArray.__rlshift__

numpy.ma.MaskedArray.__rshift__numpy.ma.MaskedArray.__rrshift__

numpy.ma.MaskedArray.__and__numpy.ma.MaskedArray.__rand__

numpy.ma.MaskedArray.__or__numpy.ma.MaskedArray.__ror__

numpy.ma.MaskedArray.__xor__numpy.ma.MaskedArray.__rxor__

Arithmetic, in-place:numpy.ma.MaskedArray.__iadd__

numpy.ma.MaskedArray.__isub__numpy.ma.MaskedArray.__imul__

numpy.ma.MaskedArray.__idiv__numpy.ma.MaskedArray.__itruediv__

numpy.ma.MaskedArray.__ifloordiv__numpy.ma.MaskedArray.__imod__

numpy.ma.MaskedArray.__ipow__numpy.ma.MaskedArray.__ilshift__

numpy.ma.MaskedArray.__irshift__numpy.ma.MaskedArray.__iand__

numpy.ma.MaskedArray.__ior__numpy.ma.MaskedArray.__ixor__

Representationnumpy.ma.MaskedArray.__repr__

numpy.ma.MaskedArray.__str__numpy.ma.MaskedArray.ids

numpy.ma.MaskedArray.iscontiguousSpecial methods

numpy.ma.MaskedArray.__copy__numpy.ma.MaskedArray.__deepcopy__

numpy.ma.MaskedArray.__getstate__numpy.ma.MaskedArray.__reduce__



numpy.ma.MaskedArray.__setstate__

numpy.ma.MaskedArray.__new__numpy.ma.MaskedArray.__array__

numpy.ma.MaskedArray.__array_wrap__numpy.ma.MaskedArray.__len__

numpy.ma.MaskedArray.__getitem__numpy.ma.MaskedArray.__setitem__

numpy.ma.MaskedArray.__delitem__numpy.ma.MaskedArray.__getslice__

numpy.ma.MaskedArray.__setslice__numpy.ma.MaskedArray.__contains__

Specific methodsHandling the mask

numpy.ma.MaskedArray.__setmask__numpy.ma.MaskedArray.harden_mask

numpy.ma.MaskedArray.soften_masknumpy.ma.MaskedArray.unshare_mask

numpy.ma.MaskedArray.shrink_maskHandling the fill_value

numpy.ma.MaskedArray.get_fill_valuenumpy.ma.MaskedArray.set_fill_value

Counting the missing elementsnumpy.ma.MaskedArray.count

Masked array operationsConstants

numpy.ma.MaskTypeCreation

From existing datanumpy.ma.masked_array

numpy.ma.arraynumpy.ma.copy

numpy.ma.frombuffer

numpy.ma.fromfunctionnumpy.ma.MaskedArray.copy

Ones and zerosnumpy.ma.empty

numpy.ma.empty_likenumpy.ma.masked_all

numpy.ma.masked_all_likenumpy.ma.ones

numpy.ma.zerosInspecting the array

numpy.ma.allnumpy.ma.any

numpy.ma.countnumpy.ma.count_masked

numpy.ma.getmasknumpy.ma.getmaskarray

numpy.ma.getdatanumpy.ma.nonzero

numpy.ma.shapenumpy.ma.size

numpy.ma.MaskedArray.datanumpy.ma.MaskedArray.mask

numpy.ma.MaskedArray.recordmasknumpy.ma.MaskedArray.all

numpy.ma.MaskedArray.any



numpy.ma.MaskedArray.countnumpy.ma.MaskedArray.nonzero

numpy.ma.shapenumpy.ma.size

Manipulating a MaskedArrayChanging the shape

numpy.ma.ravelnumpy.ma.reshape

numpy.ma.resizenumpy.ma.MaskedArray.flatten

numpy.ma.MaskedArray.ravelnumpy.ma.MaskedArray.reshape

numpy.ma.MaskedArray.resizeModifying axes

numpy.ma.swapaxesnumpy.ma.transpose

numpy.ma.MaskedArray.swapaxesnumpy.ma.MaskedArray.transpose

Changing the number of dimensionsnumpy.ma.atleast_1d

numpy.ma.atleast_2dnumpy.ma.atleast_3d

numpy.ma.expand_dimsnumpy.ma.squeeze

numpy.ma.MaskedArray.squeezenumpy.ma.column_stack

numpy.ma.concatenatenumpy.ma.dstack

numpy.ma.hstacknumpy.ma.hsplit

numpy.ma.mrnumpy.ma.row_stack

numpy.ma.vstackJoining arrays

numpy.ma.column_stacknumpy.ma.concatenate

numpy.ma.dstacknumpy.ma.hstack

numpy.ma.vstackOperations on masks

Creating a masknumpy.ma.make_mask

numpy.ma.make_mask_nonenumpy.ma.mask_or

numpy.ma.make_mask_descrAccessing a mask

numpy.ma.getmask

numpy.ma.getmaskarraynumpy.ma.masked_array.mask

Finding masked datanumpy.ma.flatnotmasked_contiguous

numpy.ma.flatnotmasked_edgesnumpy.ma.notmasked_contiguous

numpy.ma.notmasked_edgesModifying a mask

numpy.ma.mask_colsnumpy.ma.mask_or



numpy.ma.mask_rowcols

numpy.ma.mask_rowsnumpy.ma.harden_mask

numpy.ma.soften_masknumpy.ma.MaskedArray.harden_mask

numpy.ma.MaskedArray.soften_masknumpy.ma.MaskedArray.shrink_mask

numpy.ma.MaskedArray.unshare_maskConversion operations

> to a masked arraynumpy.ma.asarray

numpy.ma.asanyarraynumpy.ma.fix_invalid

numpy.ma.masked_equalnumpy.ma.masked_greater

numpy.ma.masked_greater_equalnumpy.ma.masked_inside

numpy.ma.masked_invalidnumpy.ma.masked_less

numpy.ma.masked_less_equalnumpy.ma.masked_not_equal

numpy.ma.masked_objectnumpy.ma.masked_outside

numpy.ma.masked_valuesnumpy.ma.masked_where

> to a ndarraynumpy.ma.compress_cols

numpy.ma.compress_rowcolsnumpy.ma.compress_rows

numpy.ma.compressednumpy.ma.filled

numpy.ma.MaskedArray.compressednumpy.ma.MaskedArray.filled

> to another objectnumpy.ma.MaskedArray.tofile

numpy.ma.MaskedArray.tolistnumpy.ma.MaskedArray.torecords

numpy.ma.MaskedArray.tostringPickling and unpickling

numpy.ma.dumpnumpy.ma.dumps

numpy.ma.loadnumpy.ma.loads

Filling a masked arraynumpy.ma.common_fill_value

numpy.ma.default_fill_valuenumpy.ma.maximum_fill_value

numpy.ma.maximum_fill_valuenumpy.ma.set_fill_value

numpy.ma.MaskedArray.get_fill_valuenumpy.ma.MaskedArray.set_fill_value

numpy.ma.MaskedArray.fill_valueMasked arrays arithmetics

Arithmeticsnumpy.ma.anom

numpy.ma.anomaliesnumpy.ma.average



numpy.ma.conjugatenumpy.ma.corrcoef

numpy.ma.covnumpy.ma.cumsum

numpy.ma.cumprodnumpy.ma.mean

numpy.ma.mediannumpy.ma.power

numpy.ma.prodnumpy.ma.std

numpy.ma.sumnumpy.ma.var

numpy.ma.MaskedArray.anomnumpy.ma.MaskedArray.cumprod

numpy.ma.MaskedArray.cumsumnumpy.ma.MaskedArray.mean

numpy.ma.MaskedArray.prodnumpy.ma.MaskedArray.std

numpy.ma.MaskedArray.sumnumpy.ma.MaskedArray.var

Minimum/maximumnumpy.ma.argmax

numpy.ma.argminnumpy.ma.max

numpy.ma.minnumpy.ma.ptp

numpy.ma.MaskedArray.argmaxnumpy.ma.MaskedArray.argmin

numpy.ma.MaskedArray.maxnumpy.ma.MaskedArray.min

numpy.ma.MaskedArray.ptpSorting

numpy.ma.argsortnumpy.ma.sort

numpy.ma.MaskedArray.argsortnumpy.ma.MaskedArray.sort

Algebranumpy.ma.diag

numpy.ma.dotnumpy.ma.identity

numpy.ma.innernumpy.ma.innerproduct

numpy.ma.outernumpy.ma.outerproduct

numpy.ma.tracenumpy.ma.transpose

numpy.ma.MaskedArray.tracenumpy.ma.MaskedArray.transpose

Polynomial fitnumpy.ma.vandernumpy.ma.polyfit

Clipping and rounding

numpy.ma.around

numpy.ma.clipnumpy.ma.round

numpy.ma.MaskedArray.clip

numpy.ma.MaskedArray.round



Miscellanea

numpy.ma.allequal

numpy.ma.allclosenumpy.ma.apply_along_axis

numpy.ma.arange

numpy.ma.choose

numpy.ma.ediff1dnumpy.ma.indices

numpy.ma.where

The Array Interface

Python sideC-struct access

Type description examples

Differences with Array interface (Version 2)

Datetimes and TimedeltasBasic Datetimes

Datetime and Timedelta Arithmetic

Datetime Units

Business Day Functionalitynp.is_busday():

np.busday_count():

Custom Weekmasks

Differences Between 1.6 and 1.7 DatetimesString Parsing

Unit Conversion

Datetime Arithmetic

Universal functions (ufunc)

Broadcasting

Output type determination

Use of internal buffersnumpy.setbufsize

Error handling

numpy.seterr

numpy.seterrcallCasting Rules

ufunc

Optional keyword argumentsAttributes

numpy.ufunc.nin

numpy.ufunc.nout

numpy.ufunc.nargsnumpy.ufunc.ntypes

numpy.ufunc.types

numpy.ufunc.identity

Methodsnumpy.ufunc.reduce

numpy.ufunc.accumulate

numpy.ufunc.reduceat

numpy.ufunc.outerAvailable ufuncs

Math operations

Trigonometric functions

Bit-twiddling functionsComparison functions

Floating functions

Routines

Array creation routines



Ones and zeros

numpy.empty

numpy.empty_like

numpy.eyenumpy.identity

numpy.ones

numpy.ones_like

numpy.zerosnumpy.zeros_like

From existing data

numpy.array

numpy.asarraynumpy.asanyarray

numpy.ascontiguousarray

numpy.asmatrix

numpy.copynumpy.frombuffer

numpy.fromfile

numpy.fromfunction

numpy.fromiternumpy.fromstring

numpy.loadtxt

Creating record arrays (numpy.rec)

numpy.core.records.array

numpy.core.records.fromarrays

numpy.core.records.fromrecords

numpy.core.records.fromstringnumpy.core.records.fromfile

Creating character arrays (numpy.char)

numpy.core.defchararray.array

numpy.core.defchararray.asarray

Numerical ranges

numpy.arangenumpy.linspace

numpy.logspace

numpy.meshgrid

numpy.mgridnumpy.ogrid

Building matrices

numpy.diag

numpy.diagflatnumpy.tri

numpy.tril

numpy.triu

numpy.vanderThe Matrix class

numpy.mat

numpy.bmat

Array manipulation routinesBasic operations

numpy.copyto

Changing array shape

numpy.reshape

numpy.ravelnumpy.ndarray.flat

numpy.ndarray.flatten

Transpose-like operations



numpy.rollaxisnumpy.swapaxes

numpy.ndarray.T

numpy.transpose

Changing number of dimensionsnumpy.atleast_1d

numpy.atleast_2d

numpy.atleast_3d

numpy.broadcastnumpy.broadcast.next

numpy.broadcast.reset

numpy.broadcast_arrays

numpy.expand_dimsnumpy.squeeze

Changing kind of array

numpy.asarray

numpy.asanyarraynumpy.asmatrix

numpy.asfarray

numpy.asfortranarray

numpy.asscalarnumpy.require

Joining arrays

numpy.column_stack

numpy.concatenatenumpy.dstack

numpy.hstack

numpy.vstack

Splitting arraysnumpy.array_split

numpy.dsplit

numpy.hsplit

numpy.splitnumpy.vsplit

Tiling arrays

numpy.tile

numpy.repeatAdding and removing elements

numpy.delete

numpy.insert

numpy.appendnumpy.resize

numpy.trim_zeros

numpy.unique

Rearranging elementsnumpy.fliplr

numpy.flipud

numpy.reshape

numpy.rollnumpy.rot90

Binary operations

Elementwise bit operations

numpy.bitwise_andnumpy.bitwise_or

numpy.bitwise_xor

numpy.invert

numpy.left_shift



numpy.right_shift

Bit packingnumpy.packbits

numpy.unpackbits

Output formatting

numpy.binary_reprString operations

String operations

numpy.core.defchararray.add

numpy.core.defchararray.multiplynumpy.core.defchararray.mod

numpy.core.defchararray.capitalize

numpy.core.defchararray.center

numpy.core.defchararray.decodenumpy.core.defchararray.encode

numpy.core.defchararray.join

numpy.core.defchararray.ljust

numpy.core.defchararray.lowernumpy.core.defchararray.lstrip

numpy.core.defchararray.partition

numpy.core.defchararray.replace

numpy.core.defchararray.rjustnumpy.core.defchararray.rpartition

numpy.core.defchararray.rsplit

numpy.core.defchararray.rstrip

numpy.core.defchararray.splitnumpy.core.defchararray.splitlines

numpy.core.defchararray.strip

numpy.core.defchararray.swapcase

numpy.core.defchararray.titlenumpy.core.defchararray.translate

numpy.core.defchararray.upper

numpy.core.defchararray.zfill

Comparisonnumpy.core.defchararray.equal

numpy.core.defchararray.not_equal

numpy.core.defchararray.greater_equal

numpy.core.defchararray.less_equalnumpy.core.defchararray.greater

numpy.core.defchararray.less

String information

numpy.core.defchararray.countnumpy.core.defchararray.find

numpy.core.defchararray.index

numpy.core.defchararray.isalpha

numpy.core.defchararray.isdecimalnumpy.core.defchararray.isdigit

numpy.core.defchararray.islower

numpy.core.defchararray.isnumeric

numpy.core.defchararray.isspacenumpy.core.defchararray.istitle

numpy.core.defchararray.isupper

numpy.core.defchararray.rfind

numpy.core.defchararray.rindexnumpy.core.defchararray.startswith

Convenience class

numpy.core.defchararray.chararray



numpy.core.defchararray.chararray.astype

numpy.core.defchararray.chararray.argsortnumpy.core.defchararray.chararray.copy

numpy.core.defchararray.chararray.count

numpy.core.defchararray.chararray.decode

numpy.core.defchararray.chararray.dumpnumpy.core.defchararray.chararray.dumps

numpy.core.defchararray.chararray.encode

numpy.core.defchararray.chararray.endswith

numpy.core.defchararray.chararray.expandtabs

numpy.core.defchararray.chararray.fillnumpy.core.defchararray.chararray.find

numpy.core.defchararray.chararray.flatten

numpy.core.defchararray.chararray.getfield

numpy.core.defchararray.chararray.indexnumpy.core.defchararray.chararray.isalnum

numpy.core.defchararray.chararray.isalpha

numpy.core.defchararray.chararray.isdecimal

numpy.core.defchararray.chararray.isdigitnumpy.core.defchararray.chararray.islower

numpy.core.defchararray.chararray.isnumeric

numpy.core.defchararray.chararray.isspace

numpy.core.defchararray.chararray.istitlenumpy.core.defchararray.chararray.isupper

numpy.core.defchararray.chararray.item

numpy.core.defchararray.chararray.join

numpy.core.defchararray.chararray.ljustnumpy.core.defchararray.chararray.lower

numpy.core.defchararray.chararray.lstrip

numpy.core.defchararray.chararray.nonzero

numpy.core.defchararray.chararray.putnumpy.core.defchararray.chararray.ravel

numpy.core.defchararray.chararray.repeat

numpy.core.defchararray.chararray.replace

numpy.core.defchararray.chararray.reshapenumpy.core.defchararray.chararray.resize

numpy.core.defchararray.chararray.rfind

numpy.core.defchararray.chararray.rindex

numpy.core.defchararray.chararray.rjustnumpy.core.defchararray.chararray.rsplit

numpy.core.defchararray.chararray.rstrip

numpy.core.defchararray.chararray.searchsorted

numpy.core.defchararray.chararray.setfieldnumpy.core.defchararray.chararray.setflags

numpy.core.defchararray.chararray.sort

numpy.core.defchararray.chararray.split

numpy.core.defchararray.chararray.splitlinesnumpy.core.defchararray.chararray.squeeze

numpy.core.defchararray.chararray.startswith

numpy.core.defchararray.chararray.strip

numpy.core.defchararray.chararray.swapaxesnumpy.core.defchararray.chararray.swapcase

numpy.core.defchararray.chararray.take

numpy.core.defchararray.chararray.title

numpy.core.defchararray.chararray.tofilenumpy.core.defchararray.chararray.tolist

numpy.core.defchararray.chararray.tostring



numpy.core.defchararray.chararray.translate

numpy.core.defchararray.chararray.transpose

numpy.core.defchararray.chararray.uppernumpy.core.defchararray.chararray.view

numpy.core.defchararray.chararray.zfill

C-Types Foreign Function Interface (numpy.ctypeslib)

Datetime Support Functions

Business Day Functions

numpy.busdaycalendar

numpy.busdaycalendar.weekmasknumpy.busdaycalendar.holidays

numpy.is_busday

numpy.busday_offset

numpy.busday_countData type routines

numpy.can_cast

numpy.promote_types

numpy.min_scalar_typenumpy.result_type

numpy.common_type

numpy.obj2sctype

Creating data typesnumpy.dtype

numpy.dtype.newbyteorder

numpy.format_parser

Data type informationnumpy.finfo

numpy.iinfo

numpy.iinfo.min

numpy.iinfo.maxnumpy.MachAr

Data type testing

numpy.issctype

numpy.issubdtypenumpy.issubsctype

numpy.issubclass

numpy.find_common_type

Miscellaneousnumpy.typename

numpy.sctype2char

numpy.mintypecode

Optionally Scipy-accelerated routines (numpy.dual)

Linear algebra

FFT

OtherMathematical functions with automatic domain (numpy.emath)

Floating point error handling

Setting and getting error handlingnumpy.seterr

numpy.geterr

numpy.seterrcall

numpy.geterrcallnumpy.errstate

Internal functions

numpy.seterrobj

numpy.geterrobjDiscrete Fourier Transform (numpy.fft)



Standard FFTs

numpy.fft.fft

numpy.fft.ifft

numpy.fft.fft2numpy.fft.ifft2

numpy.fft.fftn

numpy.fft.ifftn

Real FFTsnumpy.fft.rfft

numpy.fft.irfft

numpy.fft.rfft2

numpy.fft.irfft2numpy.fft.rfftn

numpy.fft.irfftn

Hermitian FFTs

numpy.fft.hfftnumpy.fft.ihfft

Helper routines

numpy.fft.fftfreq

numpy.fft.fftshiftnumpy.fft.ifftshift

Background information

Implementation details

Real and Hermitian transformsHigher dimensions

References

Examples

Financial functionsSimple financial functions

numpy.fv

numpy.pv

numpy.npvnumpy.pmt

numpy.ppmt

numpy.ipmt

numpy.irrnumpy.mirr

numpy.nper

numpy.rate

Functional programmingnumpy.apply_along_axis

numpy.apply_over_axes

numpy.vectorize

numpy.vectorize.__call__

numpy.frompyfuncnumpy.piecewise

Numpy-specific help functions

Finding help

numpy.lookforReading help

numpy.info

numpy.source

Indexing routinesGenerating index arrays

numpy.c

numpy.r

numpy.s



numpy.nonzeronumpy.where

numpy.indices

numpy.ix

numpy.ogridnumpy.ravel_multi_index

numpy.unravel_index

numpy.diag_indices

numpy.diag_indices_fromnumpy.mask_indices

numpy.tril_indices

numpy.tril_indices_from

numpy.triu_indicesnumpy.triu_indices_from

Indexing-like operations

numpy.take

numpy.choosenumpy.compress

numpy.diag

numpy.diagonal

numpy.selectInserting data into arrays

numpy.place

numpy.put

numpy.putmasknumpy.fill_diagonal

Iterating over arrays

numpy.nditer

numpy.nditer.dtypesnumpy.nditer.finished

numpy.nditer.has_delayed_bufalloc

numpy.nditer.has_index

numpy.nditer.has_multi_indexnumpy.nditer.iterationneedsapi

numpy.nditer.iterindex

numpy.nditer.itersize

numpy.nditer.ndimnumpy.nditer.nop

numpy.nditer.operands

numpy.nditer.shape

numpy.nditer.copynumpy.nditer.debug_print

numpy.nditer.enable_external_loop

numpy.nditer.iternext

numpy.nditer.nextnumpy.nditer.remove_axis

numpy.nditer.remove_multi_index

numpy.nditer.reset

numpy.ndenumeratenumpy.ndenumerate.next

numpy.ndindex

numpy.ndindex.ndincr

numpy.ndindex.nextnumpy.flatiter

numpy.flatiter.copy

numpy.flatiter.next

Input and output



NPZ files

numpy.loadnumpy.save

numpy.savez

Text files

numpy.loadtxtnumpy.savetxt

numpy.genfromtxt

numpy.fromregex

numpy.fromstringnumpy.ndarray.tofile

numpy.ndarray.tolist

Raw binary files

String formattingnumpy.array_repr

numpy.array_str

Memory mapping files

numpy.memmapText formatting options

numpy.set_printoptions

numpy.get_printoptions

numpy.set_string_functionBase-n representations

numpy.binary_repr

numpy.base_repr

Data sourcesnumpy.DataSource

numpy.DataSource.abspath

numpy.DataSource.exists

numpy.DataSource.openLinear algebra (numpy.linalg)

Matrix and vector products

numpy.dotnumpy.vdot

numpy.inner

numpy.outer

numpy.tensordotnumpy.einsum

numpy.linalg.matrix_power

numpy.kron

Decompositionsnumpy.linalg.cholesky

numpy.linalg.qr

numpy.linalg.svd

Matrix eigenvaluesnumpy.linalg.eig

numpy.linalg.eigh

numpy.linalg.eigvals

numpy.linalg.eigvalshNorms and other numbers

numpy.linalg.norm

numpy.linalg.cond

numpy.linalg.detnumpy.linalg.slogdet

numpy.trace

Solving equations and inverting matrices

numpy.linalg.solve



numpy.linalg.tensorsolve

numpy.linalg.lstsq

numpy.linalg.invnumpy.linalg.pinv

numpy.linalg.tensorinv

Exceptions

numpy.linalg.LinAlgErrorLogic functions

Truth value testing

numpy.all

numpy.anyArray contents

numpy.isfinite

numpy.isinf

numpy.isnannumpy.isneginf

numpy.isposinf

Array type testing

numpy.iscomplexnumpy.iscomplexobj

numpy.isfortran

numpy.isreal

numpy.isrealobjnumpy.isscalar

Logical operations

numpy.logical_and

numpy.logical_ornumpy.logical_not

numpy.logical_xor

Comparison

numpy.allclosenumpy.array_equal

numpy.array_equiv

numpy.greater

numpy.greater_equalnumpy.less

numpy.less_equal

numpy.equal

numpy.not_equalMasked array operations

Constants

numpy.ma.MaskType

CreationFrom existing data

numpy.ma.masked_array

numpy.ma.array

numpy.ma.copynumpy.ma.frombuffer

numpy.ma.fromfunction

numpy.ma.MaskedArray.copy

Ones and zerosnumpy.ma.empty

numpy.ma.empty_like

numpy.ma.masked_all

numpy.ma.masked_all_likenumpy.ma.ones

numpy.ma.zeros



Inspecting the array

numpy.ma.all

numpy.ma.any

numpy.ma.countnumpy.ma.count_masked

numpy.ma.getmask

numpy.ma.getmaskarray

numpy.ma.getdatanumpy.ma.nonzero

numpy.ma.shape

numpy.ma.size

numpy.ma.MaskedArray.datanumpy.ma.MaskedArray.mask

numpy.ma.MaskedArray.recordmask

numpy.ma.MaskedArray.all

numpy.ma.MaskedArray.anynumpy.ma.MaskedArray.count

numpy.ma.MaskedArray.nonzero

numpy.ma.shape

numpy.ma.sizeManipulating a MaskedArray

Changing the shape

numpy.ma.ravel

numpy.ma.reshapenumpy.ma.resize

numpy.ma.MaskedArray.flatten

numpy.ma.MaskedArray.ravel

numpy.ma.MaskedArray.reshapenumpy.ma.MaskedArray.resize

Modifying axes

numpy.ma.swapaxes

numpy.ma.transposenumpy.ma.MaskedArray.swapaxes

numpy.ma.MaskedArray.transpose

Changing the number of dimensions

numpy.ma.atleast_1dnumpy.ma.atleast_2d

numpy.ma.atleast_3d

numpy.ma.expand_dims

numpy.ma.squeezenumpy.ma.MaskedArray.squeeze

numpy.ma.column_stack

numpy.ma.concatenate

numpy.ma.dstacknumpy.ma.hstack

numpy.ma.hsplit

numpy.ma.mr

numpy.ma.row_stacknumpy.ma.vstack

Joining arrays

numpy.ma.column_stack

numpy.ma.concatenatenumpy.ma.dstack

numpy.ma.hstack

numpy.ma.vstack

Operations on masksCreating a mask



numpy.ma.make_masknumpy.ma.make_mask_none

numpy.ma.mask_or

numpy.ma.make_mask_descr

Accessing a masknumpy.ma.getmask

numpy.ma.getmaskarray

numpy.ma.masked_array.mask

Finding masked datanumpy.ma.flatnotmasked_contiguous

numpy.ma.flatnotmasked_edges

numpy.ma.notmasked_contiguous

numpy.ma.notmasked_edgesModifying a mask

numpy.ma.mask_cols

numpy.ma.mask_or

numpy.ma.mask_rowcolsnumpy.ma.mask_rows

numpy.ma.harden_mask

numpy.ma.soften_mask

numpy.ma.MaskedArray.harden_masknumpy.ma.MaskedArray.soften_mask

numpy.ma.MaskedArray.shrink_mask

numpy.ma.MaskedArray.unshare_mask

Conversion operations> to a masked array

numpy.ma.asarray

numpy.ma.asanyarray

numpy.ma.fix_invalidnumpy.ma.masked_equal

numpy.ma.masked_greater

numpy.ma.masked_greater_equal

numpy.ma.masked_insidenumpy.ma.masked_invalid

numpy.ma.masked_less

numpy.ma.masked_less_equal

numpy.ma.masked_not_equalnumpy.ma.masked_object

numpy.ma.masked_outside

numpy.ma.masked_values

numpy.ma.masked_where> to a ndarray

numpy.ma.compress_cols

numpy.ma.compress_rowcols

numpy.ma.compress_rowsnumpy.ma.compressed

numpy.ma.filled

numpy.ma.MaskedArray.compressed

numpy.ma.MaskedArray.filled> to another object

numpy.ma.MaskedArray.tofile

numpy.ma.MaskedArray.tolist

numpy.ma.MaskedArray.torecordsnumpy.ma.MaskedArray.tostring

Pickling and unpickling

numpy.ma.dump

numpy.ma.dumps



numpy.ma.load

numpy.ma.loadsFilling a masked array

numpy.ma.common_fill_value

numpy.ma.default_fill_value

numpy.ma.maximum_fill_valuenumpy.ma.maximum_fill_value

numpy.ma.set_fill_value

numpy.ma.MaskedArray.get_fill_value

numpy.ma.MaskedArray.set_fill_valuenumpy.ma.MaskedArray.fill_value

Masked arrays arithmetics

Arithmetics

numpy.ma.anomnumpy.ma.anomalies

numpy.ma.average

numpy.ma.conjugate

numpy.ma.corrcoefnumpy.ma.cov

numpy.ma.cumsum

numpy.ma.cumprod

numpy.ma.meannumpy.ma.median

numpy.ma.power

numpy.ma.prod

numpy.ma.stdnumpy.ma.sum

numpy.ma.var

numpy.ma.MaskedArray.anom

numpy.ma.MaskedArray.cumprodnumpy.ma.MaskedArray.cumsum

numpy.ma.MaskedArray.mean

numpy.ma.MaskedArray.prod

numpy.ma.MaskedArray.stdnumpy.ma.MaskedArray.sum

numpy.ma.MaskedArray.var

Minimum/maximum

numpy.ma.argmaxnumpy.ma.argmin

numpy.ma.max

numpy.ma.min

numpy.ma.ptpnumpy.ma.MaskedArray.argmax

numpy.ma.MaskedArray.argmin

numpy.ma.MaskedArray.max

numpy.ma.MaskedArray.minnumpy.ma.MaskedArray.ptp

Sorting

numpy.ma.argsort

numpy.ma.sortnumpy.ma.MaskedArray.argsort

numpy.ma.MaskedArray.sort

Algebra

numpy.ma.diagnumpy.ma.dot

numpy.ma.identity

numpy.ma.inner



numpy.ma.innerproduct

numpy.ma.outernumpy.ma.outerproduct

numpy.ma.trace

numpy.ma.transpose

numpy.ma.MaskedArray.trace

numpy.ma.MaskedArray.transposePolynomial fit

numpy.ma.vander

numpy.ma.polyfit

Clipping and roundingnumpy.ma.around

numpy.ma.clip

numpy.ma.round

numpy.ma.MaskedArray.clipnumpy.ma.MaskedArray.round

Miscellanea

numpy.ma.allequal

numpy.ma.allclosenumpy.ma.apply_along_axis

numpy.ma.arange

numpy.ma.choose

numpy.ma.ediff1dnumpy.ma.indices

numpy.ma.where

Mathematical functions

Trigonometric functionsnumpy.sin

numpy.cos

numpy.tan

numpy.arcsinnumpy.arccos

numpy.arctan

numpy.hypot

numpy.arctan2numpy.degrees

numpy.radians

numpy.unwrap

numpy.deg2radnumpy.rad2deg

Hyperbolic functions

numpy.sinh

numpy.coshnumpy.tanh

numpy.arcsinh

numpy.arccosh

numpy.arctanhRounding

numpy.around

numpy.round

numpy.rintnumpy.fix

numpy.floor

numpy.ceil

numpy.truncSums, products, differences

numpy.prod



numpy.sum

numpy.nansum

numpy.cumprodnumpy.cumsum

numpy.diff

numpy.ediff1d

numpy.gradientnumpy.cross

numpy.trapz

Exponents and logarithms

numpy.expnumpy.expm1

numpy.exp2

numpy.log

numpy.log10numpy.log2

numpy.log1p

numpy.logaddexp

numpy.logaddexp2Other special functions

numpy.i0

numpy.sinc

Floating point routines

numpy.signbitnumpy.copysign

numpy.frexp

numpy.ldexp

Arithmetic operationsnumpy.add

numpy.reciprocal

numpy.negative

numpy.multiplynumpy.divide

numpy.power

numpy.subtract

numpy.true_dividenumpy.floor_divide

numpy.fmod

numpy.mod

numpy.modfnumpy.remainder

Handling complex numbers

numpy.angle

numpy.realnumpy.imag

numpy.conj

Miscellaneous

numpy.convolvenumpy.clip

numpy.sqrt

numpy.square

numpy.absolutenumpy.fabs

numpy.sign

numpy.maximum

numpy.minimumnumpy.nan_to_num



numpy.real_if_close

numpy.interp

Matrix library (numpy.matlib)

numpy.matlib.empty

numpy.matlib.zeros

numpy.matlib.ones

numpy.matlib.eyenumpy.matlib.identity

numpy.matlib.repmat

numpy.matlib.rand

numpy.matlib.randnNumarray compatibility (numpy.numarray)

Old Numeric compatibility (numpy.oldnumeric)

Miscellaneous routines

Buffer objects

numpy.getbuffernumpy.newbuffer

Performance tuning

numpy.alterdot

numpy.restoredotnumpy.setbufsize

numpy.getbufsize

Padding Arrays

numpy.pad

PolynomialsTransition notice

Polynomial Package

Using the Convenience Classes

BasicsCalculus

Other Polynomial Constructors

Fitting

Polynomial Module (numpy.polynomial.polynomial)

Polynomial Class

numpy.polynomial.polynomial.Polynomialnumpy.polynomial.polynomial.Polynomial.domain

numpy.polynomial.polynomial.Polynomial.window

numpy.polynomial.polynomial.Polynomial.__call__

numpy.polynomial.polynomial.Polynomial.basisnumpy.polynomial.polynomial.Polynomial.cast

numpy.polynomial.polynomial.Polynomial.convert

numpy.polynomial.polynomial.Polynomial.copy

numpy.polynomial.polynomial.Polynomial.cutdegnumpy.polynomial.polynomial.Polynomial.degree

numpy.polynomial.polynomial.Polynomial.deriv

numpy.polynomial.polynomial.Polynomial.fit

numpy.polynomial.polynomial.Polynomial.fromrootsnumpy.polynomial.polynomial.Polynomial.has_samecoef

numpy.polynomial.polynomial.Polynomial.has_samedomain

numpy.polynomial.polynomial.Polynomial.has_sametype

numpy.polynomial.polynomial.Polynomial.has_samewindownumpy.polynomial.polynomial.Polynomial.identity

numpy.polynomial.polynomial.Polynomial.integ

numpy.polynomial.polynomial.Polynomial.linspace

numpy.polynomial.polynomial.Polynomial.mapparmsnumpy.polynomial.polynomial.Polynomial.roots

numpy.polynomial.polynomial.Polynomial.trim



numpy.polynomial.polynomial.Polynomial.truncateBasics

numpy.polynomial.polynomial.polyval

numpy.polynomial.polynomial.polyval2d

numpy.polynomial.polynomial.polyval3dnumpy.polynomial.polynomial.polygrid2d

numpy.polynomial.polynomial.polygrid3d

numpy.polynomial.polynomial.polyroots

numpy.polynomial.polynomial.polyfromrootsFitting

numpy.polynomial.polynomial.polyfit

numpy.polynomial.polynomial.polyvander

numpy.polynomial.polynomial.polyvander2dnumpy.polynomial.polynomial.polyvander3d

Calculus

numpy.polynomial.polynomial.polyder

numpy.polynomial.polynomial.polyintAlgebra

numpy.polynomial.polynomial.polyadd

numpy.polynomial.polynomial.polysub

numpy.polynomial.polynomial.polymulnumpy.polynomial.polynomial.polymulx

numpy.polynomial.polynomial.polydiv

numpy.polynomial.polynomial.polypow

Miscellaneousnumpy.polynomial.polynomial.polycompanion

numpy.polynomial.polynomial.polydomain

numpy.polynomial.polynomial.polyzero

numpy.polynomial.polynomial.polyonenumpy.polynomial.polynomial.polyx

numpy.polynomial.polynomial.polytrim

numpy.polynomial.polynomial.polyline

Chebyshev Module (numpy.polynomial.chebyshev)

Chebyshev Class

numpy.polynomial.chebyshev.Chebyshev

numpy.polynomial.chebyshev.Chebyshev.domainnumpy.polynomial.chebyshev.Chebyshev.window

numpy.polynomial.chebyshev.Chebyshev.__call__

numpy.polynomial.chebyshev.Chebyshev.basis

numpy.polynomial.chebyshev.Chebyshev.castnumpy.polynomial.chebyshev.Chebyshev.convert

numpy.polynomial.chebyshev.Chebyshev.copy

numpy.polynomial.chebyshev.Chebyshev.cutdeg

numpy.polynomial.chebyshev.Chebyshev.degreenumpy.polynomial.chebyshev.Chebyshev.deriv

numpy.polynomial.chebyshev.Chebyshev.fit

numpy.polynomial.chebyshev.Chebyshev.fromroots

numpy.polynomial.chebyshev.Chebyshev.has_samecoefnumpy.polynomial.chebyshev.Chebyshev.has_samedomain

numpy.polynomial.chebyshev.Chebyshev.has_sametype

numpy.polynomial.chebyshev.Chebyshev.has_samewindow

numpy.polynomial.chebyshev.Chebyshev.identitynumpy.polynomial.chebyshev.Chebyshev.integ

numpy.polynomial.chebyshev.Chebyshev.linspace

numpy.polynomial.chebyshev.Chebyshev.mapparms

numpy.polynomial.chebyshev.Chebyshev.rootsnumpy.polynomial.chebyshev.Chebyshev.trim



numpy.polynomial.chebyshev.Chebyshev.truncate

Basicsnumpy.polynomial.chebyshev.chebval

numpy.polynomial.chebyshev.chebval2d

numpy.polynomial.chebyshev.chebval3d

numpy.polynomial.chebyshev.chebgrid2dnumpy.polynomial.chebyshev.chebgrid3d

numpy.polynomial.chebyshev.chebroots

numpy.polynomial.chebyshev.chebfromroots

Fittingnumpy.polynomial.chebyshev.chebfit

numpy.polynomial.chebyshev.chebvander

numpy.polynomial.chebyshev.chebvander2d

numpy.polynomial.chebyshev.chebvander3dCalculus

numpy.polynomial.chebyshev.chebder

numpy.polynomial.chebyshev.chebint

Algebranumpy.polynomial.chebyshev.chebadd

numpy.polynomial.chebyshev.chebsub

numpy.polynomial.chebyshev.chebmul

numpy.polynomial.chebyshev.chebmulxnumpy.polynomial.chebyshev.chebdiv

numpy.polynomial.chebyshev.chebpow

Quadrature

numpy.polynomial.chebyshev.chebgaussnumpy.polynomial.chebyshev.chebweight

Miscellaneous

numpy.polynomial.chebyshev.chebcompanion

numpy.polynomial.chebyshev.chebdomainnumpy.polynomial.chebyshev.chebzero

numpy.polynomial.chebyshev.chebone

numpy.polynomial.chebyshev.chebx

numpy.polynomial.chebyshev.chebtrimnumpy.polynomial.chebyshev.chebline

numpy.polynomial.chebyshev.cheb2poly

numpy.polynomial.chebyshev.poly2cheb

Legendre Module (numpy.polynomial.legendre)

Legendre Class

numpy.polynomial.legendre.Legendre

numpy.polynomial.legendre.Legendre.domainnumpy.polynomial.legendre.Legendre.window

numpy.polynomial.legendre.Legendre.__call__

numpy.polynomial.legendre.Legendre.basis

numpy.polynomial.legendre.Legendre.castnumpy.polynomial.legendre.Legendre.convert

numpy.polynomial.legendre.Legendre.copy

numpy.polynomial.legendre.Legendre.cutdeg

numpy.polynomial.legendre.Legendre.degreenumpy.polynomial.legendre.Legendre.deriv

numpy.polynomial.legendre.Legendre.fit

numpy.polynomial.legendre.Legendre.fromroots

numpy.polynomial.legendre.Legendre.has_samecoefnumpy.polynomial.legendre.Legendre.has_samedomain

numpy.polynomial.legendre.Legendre.has_sametype

numpy.polynomial.legendre.Legendre.has_samewindow

numpy.polynomial.legendre.Legendre.identity



numpy.polynomial.legendre.Legendre.integ

numpy.polynomial.legendre.Legendre.linspace

numpy.polynomial.legendre.Legendre.mapparmsnumpy.polynomial.legendre.Legendre.roots

numpy.polynomial.legendre.Legendre.trim

numpy.polynomial.legendre.Legendre.truncate

Basicsnumpy.polynomial.legendre.legval

numpy.polynomial.legendre.legval2d

numpy.polynomial.legendre.legval3d

numpy.polynomial.legendre.leggrid2dnumpy.polynomial.legendre.leggrid3d

numpy.polynomial.legendre.legroots

numpy.polynomial.legendre.legfromroots

Fittingnumpy.polynomial.legendre.legfit

numpy.polynomial.legendre.legvander

numpy.polynomial.legendre.legvander2d

numpy.polynomial.legendre.legvander3dCalculus

numpy.polynomial.legendre.legder

numpy.polynomial.legendre.legint

Algebranumpy.polynomial.legendre.legadd

numpy.polynomial.legendre.legsub

numpy.polynomial.legendre.legmul

numpy.polynomial.legendre.legmulxnumpy.polynomial.legendre.legdiv

numpy.polynomial.legendre.legpow

Quadrature

numpy.polynomial.legendre.leggaussnumpy.polynomial.legendre.legweight

Miscellaneous

numpy.polynomial.legendre.legcompanion

numpy.polynomial.legendre.legdomainnumpy.polynomial.legendre.legzero

numpy.polynomial.legendre.legone

numpy.polynomial.legendre.legx

numpy.polynomial.legendre.legtrimnumpy.polynomial.legendre.legline

numpy.polynomial.legendre.leg2poly

numpy.polynomial.legendre.poly2leg

Laguerre Module (numpy.polynomial.laguerre)

Laguerre Class

numpy.polynomial.laguerre.Laguerre

numpy.polynomial.laguerre.Laguerre.domainnumpy.polynomial.laguerre.Laguerre.window

numpy.polynomial.laguerre.Laguerre.__call__

numpy.polynomial.laguerre.Laguerre.basis

numpy.polynomial.laguerre.Laguerre.castnumpy.polynomial.laguerre.Laguerre.convert

numpy.polynomial.laguerre.Laguerre.copy

numpy.polynomial.laguerre.Laguerre.cutdeg

numpy.polynomial.laguerre.Laguerre.degreenumpy.polynomial.laguerre.Laguerre.deriv

numpy.polynomial.laguerre.Laguerre.fit

numpy.polynomial.laguerre.Laguerre.fromroots



numpy.polynomial.laguerre.Laguerre.has_samecoef

numpy.polynomial.laguerre.Laguerre.has_samedomain

numpy.polynomial.laguerre.Laguerre.has_sametype

numpy.polynomial.laguerre.Laguerre.has_samewindownumpy.polynomial.laguerre.Laguerre.identity

numpy.polynomial.laguerre.Laguerre.integ

numpy.polynomial.laguerre.Laguerre.linspace

numpy.polynomial.laguerre.Laguerre.mapparmsnumpy.polynomial.laguerre.Laguerre.roots

numpy.polynomial.laguerre.Laguerre.trim

numpy.polynomial.laguerre.Laguerre.truncate

Basicsnumpy.polynomial.laguerre.lagval

numpy.polynomial.laguerre.lagval2d

numpy.polynomial.laguerre.lagval3d

numpy.polynomial.laguerre.laggrid2dnumpy.polynomial.laguerre.laggrid3d

numpy.polynomial.laguerre.lagroots

numpy.polynomial.laguerre.lagfromroots

Fittingnumpy.polynomial.laguerre.lagfit

numpy.polynomial.laguerre.lagvander

numpy.polynomial.laguerre.lagvander2d

numpy.polynomial.laguerre.lagvander3dCalculus

numpy.polynomial.laguerre.lagder

numpy.polynomial.laguerre.lagint

Algebranumpy.polynomial.laguerre.lagadd

numpy.polynomial.laguerre.lagsub

numpy.polynomial.laguerre.lagmul

numpy.polynomial.laguerre.lagmulxnumpy.polynomial.laguerre.lagdiv

numpy.polynomial.laguerre.lagpow

Quadrature

numpy.polynomial.laguerre.laggaussnumpy.polynomial.laguerre.lagweight

Miscellaneous

numpy.polynomial.laguerre.lagcompanion

numpy.polynomial.laguerre.lagdomainnumpy.polynomial.laguerre.lagzero

numpy.polynomial.laguerre.lagone

numpy.polynomial.laguerre.lagx

numpy.polynomial.laguerre.lagtrimnumpy.polynomial.laguerre.lagline

numpy.polynomial.laguerre.lag2poly

numpy.polynomial.laguerre.poly2lag

Hermite Module, Physicists (numpy.polynomial.hermite)

Hermite Class

numpy.polynomial.hermite.Hermite

numpy.polynomial.hermite.Hermite.domainnumpy.polynomial.hermite.Hermite.window

numpy.polynomial.hermite.Hermite.__call__

numpy.polynomial.hermite.Hermite.basis

numpy.polynomial.hermite.Hermite.castnumpy.polynomial.hermite.Hermite.convert

numpy.polynomial.hermite.Hermite.copy



numpy.polynomial.hermite.Hermite.cutdegnumpy.polynomial.hermite.Hermite.degree

numpy.polynomial.hermite.Hermite.deriv

numpy.polynomial.hermite.Hermite.fit

numpy.polynomial.hermite.Hermite.fromrootsnumpy.polynomial.hermite.Hermite.has_samecoef

numpy.polynomial.hermite.Hermite.has_samedomain

numpy.polynomial.hermite.Hermite.has_sametype

numpy.polynomial.hermite.Hermite.has_samewindownumpy.polynomial.hermite.Hermite.identity

numpy.polynomial.hermite.Hermite.integ

numpy.polynomial.hermite.Hermite.linspace

numpy.polynomial.hermite.Hermite.mapparmsnumpy.polynomial.hermite.Hermite.roots

numpy.polynomial.hermite.Hermite.trim

numpy.polynomial.hermite.Hermite.truncate

Basicsnumpy.polynomial.hermite.hermval

numpy.polynomial.hermite.hermval2d

numpy.polynomial.hermite.hermval3d

numpy.polynomial.hermite.hermgrid2dnumpy.polynomial.hermite.hermgrid3d

numpy.polynomial.hermite.hermroots

numpy.polynomial.hermite.hermfromroots

Fittingnumpy.polynomial.hermite.hermfit

numpy.polynomial.hermite.hermvander

numpy.polynomial.hermite.hermvander2d

numpy.polynomial.hermite.hermvander3dCalculus

numpy.polynomial.hermite.hermder

numpy.polynomial.hermite.hermint

Algebranumpy.polynomial.hermite.hermadd

numpy.polynomial.hermite.hermsub

numpy.polynomial.hermite.hermmul

numpy.polynomial.hermite.hermmulxnumpy.polynomial.hermite.hermdiv

numpy.polynomial.hermite.hermpow

Quadrature

numpy.polynomial.hermite.hermgaussnumpy.polynomial.hermite.hermweight

Miscellaneousnumpy.polynomial.hermite.hermcompanion

numpy.polynomial.hermite.hermdomainnumpy.polynomial.hermite.hermzero

numpy.polynomial.hermite.hermonenumpy.polynomial.hermite.hermxnumpy.polynomial.hermite.hermtrim

numpy.polynomial.hermite.hermlinenumpy.polynomial.hermite.herm2polynumpy.polynomial.hermite.poly2herm

HermiteE Module, Probabilists (numpy.polynomial.hermite_e)

HermiteE Classnumpy.polynomial.hermite_e.HermiteE

numpy.polynomial.hermite_e.HermiteE.domain

numpy.polynomial.hermite_e.HermiteE.window



numpy.polynomial.hermite_e.HermiteE.__call__

numpy.polynomial.hermite_e.HermiteE.basisnumpy.polynomial.hermite_e.HermiteE.cast

numpy.polynomial.hermite_e.HermiteE.convertnumpy.polynomial.hermite_e.HermiteE.copynumpy.polynomial.hermite_e.HermiteE.cutdeg

numpy.polynomial.hermite_e.HermiteE.degreenumpy.polynomial.hermite_e.HermiteE.derivnumpy.polynomial.hermite_e.HermiteE.fit

numpy.polynomial.hermite_e.HermiteE.fromrootsnumpy.polynomial.hermite_e.HermiteE.has_samecoef

numpy.polynomial.hermite_e.HermiteE.has_samedomainnumpy.polynomial.hermite_e.HermiteE.has_sametypenumpy.polynomial.hermite_e.HermiteE.has_samewindow

numpy.polynomial.hermite_e.HermiteE.identitynumpy.polynomial.hermite_e.HermiteE.integnumpy.polynomial.hermite_e.HermiteE.linspace

numpy.polynomial.hermite_e.HermiteE.mapparmsnumpy.polynomial.hermite_e.HermiteE.roots

numpy.polynomial.hermite_e.HermiteE.trimnumpy.polynomial.hermite_e.HermiteE.truncate

Basics

numpy.polynomial.hermite_e.hermevalnumpy.polynomial.hermite_e.hermeval2dnumpy.polynomial.hermite_e.hermeval3d

numpy.polynomial.hermite_e.hermegrid2dnumpy.polynomial.hermite_e.hermegrid3d

numpy.polynomial.hermite_e.hermerootsnumpy.polynomial.hermite_e.hermefromroots

Fitting

numpy.polynomial.hermite_e.hermefitnumpy.polynomial.hermite_e.hermevandernumpy.polynomial.hermite_e.hermevander2d

numpy.polynomial.hermite_e.hermevander3dCalculus

numpy.polynomial.hermite_e.hermedernumpy.polynomial.hermite_e.hermeint

Algebra

numpy.polynomial.hermite_e.hermeaddnumpy.polynomial.hermite_e.hermesubnumpy.polynomial.hermite_e.hermemul

numpy.polynomial.hermite_e.hermemulxnumpy.polynomial.hermite_e.hermediv

numpy.polynomial.hermite_e.hermepowQuadrature

numpy.polynomial.hermite_e.hermegauss

numpy.polynomial.hermite_e.hermeweightMiscellaneous

numpy.polynomial.hermite_e.hermecompanion

numpy.polynomial.hermite_e.hermedomainnumpy.polynomial.hermite_e.hermezero

numpy.polynomial.hermite_e.hermeonenumpy.polynomial.hermite_e.hermexnumpy.polynomial.hermite_e.hermetrim

numpy.polynomial.hermite_e.hermelinenumpy.polynomial.hermite_e.herme2polynumpy.polynomial.hermite_e.poly2herme



Poly1dBasics

numpy.poly1d

numpy.poly1d.coeffsnumpy.poly1d.ordernumpy.poly1d.variable

numpy.poly1d.__call__numpy.poly1d.deriv

numpy.poly1d.integnumpy.polyvalnumpy.poly

numpy.rootsFitting

numpy.polyfit

Calculusnumpy.polyder

numpy.polyintArithmetic

numpy.polyadd

numpy.polydivnumpy.polymulnumpy.polysub

Warningsnumpy.RankWarning

Random sampling (numpy.random)

Simple random data

numpy.random.randnumpy.random.randnnumpy.random.randint

numpy.random.random_integersnumpy.random.random_samplenumpy.random.random

numpy.random.ranfnumpy.random.sample

numpy.random.choicenumpy.random.bytes

Permutations

numpy.random.shufflenumpy.random.permutation

Distributions

numpy.random.betanumpy.random.binomial

numpy.random.chisquarenumpy.random.dirichletnumpy.random.exponential

numpy.random.fnumpy.random.gamma

numpy.random.geometricnumpy.random.gumbelnumpy.random.hypergeometric

numpy.random.laplacenumpy.random.logisticnumpy.random.lognormal

numpy.random.logseriesnumpy.random.multinomial

numpy.random.multivariate_normalnumpy.random.negative_binomial



numpy.random.noncentral_chisquarenumpy.random.noncentral_fnumpy.random.normal

numpy.random.paretonumpy.random.poissonnumpy.random.power

numpy.random.rayleighnumpy.random.standard_cauchy

numpy.random.standard_exponentialnumpy.random.standard_gammanumpy.random.standard_normal

numpy.random.standard_tnumpy.random.triangularnumpy.random.uniform

numpy.random.vonmisesnumpy.random.wald

numpy.random.weibullnumpy.random.zipf

Random generator

numpy.random.RandomStatenumpy.random.RandomState.beta

numpy.random.RandomState.binomialnumpy.random.RandomState.bytesnumpy.random.RandomState.chisquare

numpy.random.RandomState.choicenumpy.random.RandomState.dirichletnumpy.random.RandomState.exponential

numpy.random.RandomState.fnumpy.random.RandomState.gamma

numpy.random.RandomState.geometricnumpy.random.RandomState.get_statenumpy.random.RandomState.gumbel

numpy.random.RandomState.hypergeometricnumpy.random.RandomState.laplacenumpy.random.RandomState.logistic

numpy.random.RandomState.lognormalnumpy.random.RandomState.logseries

numpy.random.RandomState.multinomialnumpy.random.RandomState.multivariate_normalnumpy.random.RandomState.negative_binomial

numpy.random.RandomState.noncentral_chisquarenumpy.random.RandomState.noncentral_fnumpy.random.RandomState.normal

numpy.random.RandomState.paretonumpy.random.RandomState.permutation

numpy.random.RandomState.poissonnumpy.random.RandomState.powernumpy.random.RandomState.rand

numpy.random.RandomState.randintnumpy.random.RandomState.randnnumpy.random.RandomState.random_integers

numpy.random.RandomState.random_samplenumpy.random.RandomState.rayleigh

numpy.random.RandomState.seednumpy.random.RandomState.set_statenumpy.random.RandomState.shuffle

numpy.random.RandomState.standard_cauchy



numpy.random.RandomState.standard_exponentialnumpy.random.RandomState.standard_gammanumpy.random.RandomState.standard_normal

numpy.random.RandomState.standard_tnumpy.random.RandomState.tomaxint

numpy.random.RandomState.triangularnumpy.random.RandomState.uniformnumpy.random.RandomState.vonmises

numpy.random.RandomState.waldnumpy.random.RandomState.weibullnumpy.random.RandomState.zipf

numpy.random.seednumpy.random.get_state

numpy.random.set_stateSet routines

Making proper sets

numpy.uniqueBoolean operations

numpy.in1d

numpy.intersect1dnumpy.setdiff1d

numpy.setxor1dnumpy.union1d

Sorting, searching, and counting

Sortingnumpy.sortnumpy.lexsort

numpy.argsortnumpy.ndarray.sort

numpy.msortnumpy.sort_complex

Searching

numpy.argmaxnumpy.nanargmax

numpy.argminnumpy.nanargminnumpy.argwhere

numpy.nonzeronumpy.flatnonzeronumpy.where

numpy.searchsortednumpy.extract

Countingnumpy.count_nonzero

Statistics

Order statisticsnumpy.aminnumpy.amax

numpy.nanminnumpy.nanmax

numpy.ptpnumpy.percentile

Averages and variances

numpy.averagenumpy.meannumpy.median

numpy.std



numpy.varCorrelating

numpy.corrcoefnumpy.correlatenumpy.cov

Histogramsnumpy.histogramnumpy.histogram2d

numpy.histogramddnumpy.bincount

numpy.digitizeTest Support (numpy.testing)

Assertsnumpy.testing.assert_almost_equalnumpy.testing.assert_approx_equal

numpy.testing.assert_array_almost_equalnumpy.testing.assert_array_equal

numpy.testing.assert_array_lessnumpy.testing.assert_equalnumpy.testing.assert_raises

numpy.testing.assert_warnsnumpy.testing.assert_string_equalDecorators

numpy.testing.decorators.deprecatednumpy.testing.decorators.knownfailureif

numpy.testing.decorators.setastestnumpy.testing.decorators.skipifnumpy.testing.decorators.slow

numpy.testing.decorate_methodsTest Running

numpy.testing.Tester

numpy.testing.run_module_suitenumpy.testing.rundocs

Window functionsVarious windows

numpy.bartlett

numpy.blackmannumpy.hammingnumpy.hanning

numpy.kaiserPackaging (numpy.distutils)

Modules in numpy.distutils

misc_utilnumpy.distutils.misc_util.get_numpy_include_dirsnumpy.distutils.misc_util.dict_append

numpy.distutils.misc_util.appendpathnumpy.distutils.misc_util.allpath

numpy.distutils.misc_util.dot_joinnumpy.distutils.misc_util.generate_config_pynumpy.distutils.misc_util.get_cmd

numpy.distutils.misc_util.terminal_has_colorsnumpy.distutils.misc_util.red_textnumpy.distutils.misc_util.green_text

numpy.distutils.misc_util.yellow_textnumpy.distutils.misc_util.blue_text

numpy.distutils.misc_util.cyan_textnumpy.distutils.misc_util.cyg2win32



numpy.distutils.misc_util.all_stringsnumpy.distutils.misc_util.has_f_sources

numpy.distutils.misc_util.has_cxx_sourcesnumpy.distutils.misc_util.filter_sourcesnumpy.distutils.misc_util.get_dependencies

numpy.distutils.misc_util.is_local_src_dirnumpy.distutils.misc_util.get_ext_source_files

numpy.distutils.misc_util.get_script_filesOther modules

numpy.distutils.system_info.get_info

numpy.distutils.system_info.get_standard_filenumpy.distutils.cpuinfo.cpunumpy.distutils.log.set_verbosity

numpy.distutils.exec_commandBuilding Installable C libraries

npy-pkg-config filesReusing a C library from another package

Conversion of .src files

Fortran filesNamed repeat rule

Short repeat rulePre-defined names

Other filesNumpy C-API

Python Types and C-Structures

New Python Types DefinedPyArray_TypePyArrayDescr_Type

PyUFunc_TypePyArrayIter_Type

PyArrayMultiIter_TypePyArrayNeighborhoodIter_TypePyArrayFlags_Type

ScalarArrayTypesOther C-Structures

PyArray_Dims

PyArray_ChunkPyArrayInterface

Internally used structuresSystem configuration

Data type sizes

Platform informationData Type API

Enumerated Types

DefinesMax and min values for integers

Number of bits in data typesBit-width references to enumerated typenumsInteger that can hold a pointer

C-type namesBoolean(Un)Signed Integer

(Complex) Floating pointBit-width names

Printf FormattingArray API

Array structure and data access



Data accessCreating arrays

From scratchFrom other objects

Dealing with typesGeneral check of Python TypeData-type checking

Converting data typesNew data typesSpecial functions for NPY_OBJECT

Array flagsBasic Array Flags

Combinations of array flagsFlag-like constantsFlag checking

Array method alternative APIConversionShape Manipulation

Item selection and manipulationCalculation

FunctionsArray FunctionsOther functions

Auxiliary Data With Object SemanticsArray IteratorsBroadcasting (multi-iterators)

Neighborhood iteratorArray Scalars

Data-type descriptorsConversion Utilities

For use with PyArg_ParseTuple

Other conversionsMiscellaneous

Importing the APIChecking the API Version

Internal FlexibilityMemory managementThreading support

Group 1Group 2

Priority

Default buffersOther constants

Miscellaneous MacrosEnumerated Types

Array Iterator API

Array IteratorConverting from Previous NumPy IteratorsSimple Iteration Example

Simple Multi-Iteration ExampleIterator Data Types

Construction and DestructionFunctions For Iteration

UFunc API

ConstantsMacrosFunctions



Generic functions

Importing the APIGeneralized Universal Function API

Definitions

Details of SignatureC-API for implementing Elementary Functions

Numpy core libraries

Numpy core math libraryFloating point classification

Useful math constantsLow-level floating point manipulationComplex functions

Linking against the core math library in an extensionHalf-precision functions

C API Deprecations

BackgroundDeprecation Mechanism NPY_NO_DEPRECATED_API

Numpy internalsNumpy C Code Explanations

Memory model

Data-type encapsulationN-D IteratorsBroadcasting

Array ScalarsAdvanced (Fancy) Indexing

Fancy-indexing checkFancy-indexing implementation

Creating the mapping object

Binding the mapping objectGetting (or Setting)

Universal Functions

SetupFunction call

One LoopStrided LoopBuffered Loop

Final output manipulationMethods

Setup

ReduceAccumulate

ReduceatInternal organization of numpy arraysMultidimensional Array Indexing Order Issues

Numpy and SWIGNumpy.i: a SWIG Interface File for NumPy

Introduction

Using numpy.iAvailable Typemaps

Input ArraysIn-Place ArraysArgout Arrays

Argoutview ArraysOutput ArraysOther Common Types: bool

Other Common Types: complexNumPy Array Scalars and SWIG



Why is There a Second File?

Helper FunctionsMacrosRoutines

Beyond the Provided TypemapsA Common Example

Other SituationsA Final Note

Summary

Testing the numpy.i TypemapsIntroductionTesting Organization

Testing Header FilesTesting Source Files

Testing SWIG Interface FilesTesting Python Scripts

Acknowledgements

Contributing to NumpyWorking with NumPy source code

Introduction

Install gitOverview

In detailFollowing the latest source

Get the local copy of the code

Updating the codeGit for development

Getting started with Git development

Basic Git setupMaking your own copy (fork) of NumPy

Set up and configure a github accountCreate your own forked copy of NumPy

Set up your fork

OverviewIn detail

Clone your fork

Linking your repository to the upstream repoGit configuration

OverviewIn detail

user.name and user.email

AliasesEditorMerging

Development workflowBasic workflow

Making a new feature branchThe editing workflow

Overview

In more detailWriting the commit message

Rebasing on master

Recovering from mess-upsAsking for your changes to be merged with the main repo

Asking for code reviewFiling a pull request

Pushing changes to the main repo



Additional things you might want to do

Rewriting commit historyDeleting a branch on github

Several people sharing a single repositoryExploring your repository

git resources

Tutorials and summariesAdvanced git workflowManual pages online

Release NotesNumPy 1.3.0 Release Notes

HighlightsPython 2.6 supportGeneralized ufuncs

Experimental Windows 64 bits supportNew features

Formatting issues

Nan handling in max/minNan handling in sign

New ufuncsMasked arraysgfortran support on windows

Arch option for windows binaryDeprecated features

Histogram

Documentation changesNew C API

Multiarray APIUfunc APINew defines

Portable NAN, INFINITY, etc...Internal changes

numpy.core math configuration revamp

umath refactorImprovements to build warnings

Separate core math libraryCPU arch detection

NumPy 1.4.0 Release Notes

HighlightsNew features

Extended array wrapping mechanism for ufuncs

Automatic detection of forward incompatibilitiesNew iterators

New polynomial supportNew C APINew ufuncs

New definesTestingReusing npymath

Improved set operationsImprovements

DeprecationsInternal changes

Use C99 complex functions when available

split multiarray and umath source codeSeparate compilationSeparate core math library



NumPy 1.5.0 Release NotesHighlightsNew features

ChangesNumPy 1.6.0 Release Notes

Highlights

New featuresChanges

Deprecated featuresRemoved features

NumPy 1.6.1 Release Notes

NumPy 1.6.2 Release NotesAbout NumPy

NumPy community

About this documentationConventions

Reporting bugsNumpy LicenseGlossary

Jargon

numpy manual contents — numericalpython v1

Documents

functionsusing numpy

dtype endianness match

existing array

array objectsconverting

dtype endianness dont

arraysstructured arrays

dtypestructured arrays

numpyimporting data