- name (numba.cuda.cudadrv.driver.Device attribute)
- nargs (numba.DUFunc attribute)
- native_name (CFunc attribute)
- nearbyint() (in module numba.cuda.libdevice)
- nearbyintf() (in module numba.cuda.libdevice)
- nextafter() (in module numba.cuda.libdevice)
- nextafterf() (in module numba.cuda.libdevice)
- nin (numba.DUFunc attribute)
- nopython mode
- normcdf() (in module numba.cuda.libdevice)
- normcdff() (in module numba.cuda.libdevice)
- normcdfinv() (in module numba.cuda.libdevice)
- normcdfinvf() (in module numba.cuda.libdevice)
- nout (numba.DUFunc attribute)
- ntypes (numba.DUFunc attribute)
- Numba intermediate representation
- Numba IR
-
numba.carray()
-
numba.cfunc()
- numba.config.NUMBA_DEFAULT_NUM_THREADS (built-in variable)
- numba.config.NUMBA_NUM_THREADS (built-in variable)
-
numba.core.typing.cffi_utils.register_module()
-
numba.core.typing.cffi_utils.register_type()
-
numba.cuda.all_sync()
-
numba.cuda.any_sync()
-
numba.cuda.atomic.add()
-
numba.cuda.atomic.and_()
-
numba.cuda.atomic.max()
-
numba.cuda.atomic.or_()
-
numba.cuda.atomic.sub()
-
numba.cuda.atomic.xor()
-
numba.cuda.ballot_sync()
-
numba.cuda.brev()
- numba.cuda.cg.GridGroup (built-in class)
-
numba.cuda.cg.this_grid()
-
numba.cuda.clz()
-
numba.cuda.const.array_like()
- numba.cuda.cudadrv.driver.Device (built-in class)
-
numba.cuda.eq_sync()
-
numba.cuda.ffs()
-
numba.cuda.fma()
-
numba.cuda.gpus.current()
-
numba.cuda.grid()
-
numba.cuda.gridsize()
-
numba.cuda.libdevice
-
numba.cuda.local.array()
-
numba.cuda.match_all_sync()
-
numba.cuda.match_any_sync()
-
numba.cuda.popc()
-
numba.cuda.selp()
-
numba.cuda.shared.array()
-
numba.cuda.shfl_down_sync()
-
numba.cuda.shfl_sync()
-
numba.cuda.shfl_up_sync()
-
numba.cuda.shfl_xor_sync()
-
numba.cuda.syncthreads()
-
numba.cuda.syncthreads_and()
-
numba.cuda.syncthreads_count()
-
numba.cuda.syncthreads_or()
-
numba.cuda.syncwarp()
-
numba.cuda.threadfence()
-
numba.cuda.threadfence_block()
-
numba.cuda.threadfence_system()
- numba.DUFunc (built-in class)
-
numba.experimental.structref
-
numba.extending
-
numba.extending.as_numba_type()
-
numba.farray()
-
numba.from_dtype()
-
numba.generated_jit()
-
numba.guvectorize()
-
numba.jit()
- numba.optional (built-in class)
-
numba.roc.barrier()
-
numba.roc.get_global_id()
-
numba.roc.get_group_id()
-
numba.roc.get_local_id()
-
numba.roc.get_local_size()
-
numba.roc.shared.array()
-
numba.roc.wavebarrier()
-
numba.typeof()
- numba.types.Array (built-in class)
- numba.types.NPDatetime (built-in class)
- numba.types.NPTimedelta (built-in class)
-
numba.vectorize()
- NUMBA_BOUNDSCHECK
- NUMBA_CACHE_DIR
- NUMBA_CPU_NAME
- NUMBA_DEBUG_ARRAY_OPT
- NUMBA_DEBUG_ARRAY_OPT_STATS, [1]
- NUMBA_DEBUG_PRINT_AFTER
- NUMBA_DISABLE_JIT, [1]
- NUMBA_DUMP_ANNOTATION
- NUMBA_DUMP_ASSEMBLY
- NUMBA_DUMP_IR, [1], [2]
- NUMBA_DUMP_LLVM
- NUMBA_DUMP_OPTIMIZED, [1], [2]
- NUMBA_ENABLE_CUDASIM, [1]
- NUMBA_GDB_BINARY
- NUMBA_LLVM_REFPRUNE_FLAGS
- NUMBA_LLVM_REFPRUNE_PASS
- NUMBA_NUM_THREADS, [1], [2], [3], [4], [5], [6], [7], [8]
- NUMBA_PARALLEL_DIAGNOSTICS
-
numpy.all()
-
numpy.amax()
-
numpy.amin()
-
numpy.angle()
-
numpy.any()
-
numpy.append()
-
numpy.arange()
-
numpy.argmax()
-
numpy.argmin()
-
numpy.argsort()
-
numpy.argwhere()
-
numpy.around()
-
numpy.array()
-
numpy.array_equal()
-
numpy.array_split()
-
numpy.asarray()
-
numpy.asarray_chkfinite()
-
numpy.ascontiguousarray()
-
numpy.asfarray()
-
numpy.asfortranarray()
-
numpy.atleast_1d()
-
numpy.atleast_2d()
-
numpy.atleast_3d()
-
numpy.bartlett()
-
numpy.bincount()
-
numpy.blackman()
-
numpy.column_stack()
-
numpy.concatenate()
-
numpy.convolve()
-
numpy.copy()
-
numpy.core.all()
-
numpy.core.amax()
-
numpy.core.amin()
-
numpy.core.any()
-
numpy.core.arange()
-
numpy.core.argmax()
-
numpy.core.argmin()
-
numpy.core.argsort()
-
numpy.core.argwhere()
-
numpy.core.around()
-
numpy.core.array()
-
numpy.core.array_equal()
-
numpy.core.arrayprint.any()
-
numpy.core.arrayprint.array()
-
numpy.core.arrayprint.asarray()
-
numpy.core.arrayprint.concatenate()
-
numpy.core.asarray()
-
numpy.core.ascontiguousarray()
-
numpy.core.asfortranarray()
-
numpy.core.atleast_1d()
-
numpy.core.atleast_2d()
-
numpy.core.atleast_3d()
-
numpy.core.concatenate()
-
numpy.core.convolve()
-
numpy.core.correlate()
-
numpy.core.count_nonzero()
-
numpy.core.cross()
-
numpy.core.cumprod()
-
numpy.core.cumsum()
-
numpy.core.defchararray.narray()
-
numpy.core.dot()
-
numpy.core.empty()
-
numpy.core.empty_like()
-
numpy.core.flatnonzero()
-
numpy.core.frombuffer()
-
numpy.core.fromnumeric.all()
-
numpy.core.fromnumeric.amax()
-
numpy.core.fromnumeric.amin()
-
numpy.core.fromnumeric.any()
-
numpy.core.fromnumeric.argmax()
-
numpy.core.fromnumeric.argmin()
-
numpy.core.fromnumeric.argsort()
-
numpy.core.fromnumeric.around()
-
numpy.core.fromnumeric.array()
-
numpy.core.fromnumeric.asarray()
-
numpy.core.fromnumeric.concatenate()
-
numpy.core.fromnumeric.cumprod()
-
numpy.core.fromnumeric.cumsum()
-
numpy.core.fromnumeric.mean()
-
numpy.core.fromnumeric.nonzero()
-
numpy.core.fromnumeric.partition()
-
numpy.core.fromnumeric.prod()
-
numpy.core.fromnumeric.ptp()
-
numpy.core.fromnumeric.ravel()
-
numpy.core.fromnumeric.repeat()
-
numpy.core.fromnumeric.reshape()
-
numpy.core.fromnumeric.round_()
-
numpy.core.fromnumeric.searchsorted()
-
numpy.core.fromnumeric.shape()
-
numpy.core.fromnumeric.sort()
-
numpy.core.fromnumeric.std()
-
numpy.core.fromnumeric.sum()
-
numpy.core.fromnumeric.take()
-
numpy.core.fromnumeric.trace()
-
numpy.core.fromnumeric.transpose()
-
numpy.core.fromnumeric.var()
-
numpy.core.full()
-
numpy.core.full_like()
-
numpy.core.function_base.linspace()
-
numpy.core.getlimits.array()
-
numpy.core.hstack()
-
numpy.core.identity()
-
numpy.core.linspace()
-
numpy.core.machar.any()
-
numpy.core.max()
-
numpy.core.mean()
-
numpy.core.min()
-
numpy.core.multiarray.arange()
-
numpy.core.multiarray.array()
-
numpy.core.multiarray.bincount()
-
numpy.core.multiarray.concatenate()
-
numpy.core.multiarray.dot()
-
numpy.core.multiarray.empty()
-
numpy.core.multiarray.empty_like()
-
numpy.core.multiarray.frombuffer()
-
numpy.core.multiarray.vdot()
-
numpy.core.multiarray.where()
-
numpy.core.multiarray.zeros()
-
numpy.core.nonzero()
-
numpy.core.numeric.all()
-
numpy.core.numeric.amax()
-
numpy.core.numeric.amin()
-
numpy.core.numeric.any()
-
numpy.core.numeric.arange()
-
numpy.core.numeric.argmax()
-
numpy.core.numeric.argmin()
-
numpy.core.numeric.argsort()
-
numpy.core.numeric.argwhere()
-
numpy.core.numeric.around()
-
numpy.core.numeric.array()
-
numpy.core.numeric.array_equal()
-
numpy.core.numeric.asarray()
-
numpy.core.numeric.ascontiguousarray()
-
numpy.core.numeric.asfortranarray()
-
numpy.core.numeric.concatenate()
-
numpy.core.numeric.convolve()
-
numpy.core.numeric.correlate()
-
numpy.core.numeric.count_nonzero()
-
numpy.core.numeric.cross()
-
numpy.core.numeric.cumprod()
-
numpy.core.numeric.cumsum()
-
numpy.core.numeric.dot()
-
numpy.core.numeric.empty()
-
numpy.core.numeric.empty_like()
-
numpy.core.numeric.flatnonzero()
-
numpy.core.numeric.frombuffer()
-
numpy.core.numeric.full()
-
numpy.core.numeric.full_like()
-
numpy.core.numeric.identity()
-
numpy.core.numeric.mean()
-
numpy.core.numeric.nonzero()
-
numpy.core.numeric.ones()
-
numpy.core.numeric.ones_like()
-
numpy.core.numeric.outer()
-
numpy.core.numeric.partition()
-
numpy.core.numeric.prod()
-
numpy.core.numeric.ptp()
-
numpy.core.numeric.ravel()
-
numpy.core.numeric.repeat()
-
numpy.core.numeric.reshape()
-
numpy.core.numeric.roll()
-
numpy.core.numeric.round_()
-
numpy.core.numeric.searchsorted()
-
numpy.core.numeric.shape()
-
numpy.core.numeric.sort()
-
numpy.core.numeric.std()
-
numpy.core.numeric.sum()
-
numpy.core.numeric.take()
-
numpy.core.numeric.trace()
-
numpy.core.numeric.transpose()
-
numpy.core.numeric.var()
-
numpy.core.numeric.vdot()
-
numpy.core.numeric.where()
-
numpy.core.numeric.zeros()
-
numpy.core.numeric.zeros_like()
-
numpy.core.numerictypes.array()
-
numpy.core.numerictypes.empty()
-
numpy.core.ones()
-
numpy.core.ones_like()
-
numpy.core.outer()
-
numpy.core.partition()
-
numpy.core.prod()
-
numpy.core.ptp()
-
numpy.core.ravel()
-
numpy.core.repeat()
-
numpy.core.reshape()
-
numpy.core.roll()
-
numpy.core.round()
-
numpy.core.round_()
-
numpy.core.searchsorted()
-
numpy.core.shape()
-
numpy.core.shape_base.array()
-
numpy.core.shape_base.atleast_1d()
-
numpy.core.shape_base.atleast_2d()
-
numpy.core.shape_base.atleast_3d()
-
numpy.core.shape_base.hstack()
-
numpy.core.shape_base.stack()
-
numpy.core.shape_base.vstack()
-
numpy.core.sort()
-
numpy.core.stack()
-
numpy.core.std()
-
numpy.core.sum()
-
numpy.core.take()
-
numpy.core.trace()
-
numpy.core.transpose()
-
numpy.core.umath.arange()
-
numpy.core.umath.array()
-
numpy.core.umath.empty()
-
numpy.core.umath.frombuffer()
-
numpy.core.umath.zeros()
-
numpy.core.var()
-
numpy.core.vdot()
-
numpy.core.vstack()
-
numpy.core.where()
-
numpy.core.zeros()
-
numpy.core.zeros_like()
-
numpy.corrcoef()
-
numpy.correlate()
-
numpy.count_nonzero()
-
numpy.cov()
-
numpy.cross()
-
numpy.ctypeslib.array()
-
numpy.ctypeslib.frombuffer()
-
numpy.cumprod()
-
numpy.cumsum()
-
numpy.delete()
-
numpy.diag()
-
numpy.diff()
-
numpy.digitize()
-
numpy.distutils.system_info.reduce()
-
numpy.dot()
-
numpy.dstack()
-
numpy.dual.cholesky()
-
numpy.dual.det()
-
numpy.dual.eig()
-
numpy.dual.eigh()
-
numpy.dual.eigvals()
-
numpy.dual.eigvalsh()
-
numpy.dual.inv()
-
numpy.dual.lstsq()
-
numpy.dual.norm()
-
numpy.dual.pinv()
-
numpy.dual.solve()
-
numpy.dual.svd()
-
numpy.ediff1d()
-
numpy.empty()
-
numpy.empty_like()
-
numpy.expand_dims()
-
numpy.extract()
-
numpy.eye()
-
numpy.f2py.auxfuncs.reduce()
-
numpy.fft.helper.arange()
-
numpy.fft.helper.asarray()
-
numpy.fft.helper.empty()
-
numpy.fft.helper.roll()
-
numpy.fill_diagonal()
-
numpy.flatnonzero()
-
numpy.flip()
-
numpy.fliplr()
-
numpy.flipud()
-
numpy.frombuffer()
-
numpy.full()
-
numpy.full_like()
-
numpy.hamming()
-
numpy.hanning()
-
numpy.histogram()
-
numpy.hstack()
-
numpy.identity()
-
numpy.imag()
-
numpy.interp()
-
numpy.kaiser()
-
numpy.kron()
-
numpy.lib.angle()
-
numpy.lib.append()
-
numpy.lib.array_split()
-
numpy.lib.arraysetops.ediff1d()
-
numpy.lib.arraysetops.unique()
-
numpy.lib.arrayterator.mul()
-
numpy.lib.arrayterator.reduce()
-
numpy.lib.asarray_chkfinite()
-
numpy.lib.asfarray()
-
numpy.lib.bartlett()
-
numpy.lib.bincount()
-
numpy.lib.blackman()
-
numpy.lib.column_stack()
-
numpy.lib.copy()
-
numpy.lib.corrcoef()
-
numpy.lib.cov()
-
numpy.lib.delete()
-
numpy.lib.diag()
-
numpy.lib.diff()
-
numpy.lib.digitize()
-
numpy.lib.dstack()
-
numpy.lib.ediff1d()
-
numpy.lib.expand_dims()
-
numpy.lib.extract()
-
numpy.lib.eye()
-
numpy.lib.fill_diagonal()
-
numpy.lib.flip()
-
numpy.lib.fliplr()
-
numpy.lib.flipud()
-
numpy.lib.function_base.angle()
-
numpy.lib.function_base.any()
-
numpy.lib.function_base.append()
-
numpy.lib.function_base.arange()
-
numpy.lib.function_base.around()
-
numpy.lib.function_base.array()
-
numpy.lib.function_base.asarray()
-
numpy.lib.function_base.asarray_chkfinite()
-
numpy.lib.function_base.bartlett()
-
numpy.lib.function_base.bincount()
-
numpy.lib.function_base.blackman()
-
numpy.lib.function_base.concatenate()
-
numpy.lib.function_base.copy()
-
numpy.lib.function_base.corrcoef()
-
numpy.lib.function_base.cov()
-
numpy.lib.function_base.delete()
-
numpy.lib.function_base.diag()
-
numpy.lib.function_base.diff()
-
numpy.lib.function_base.digitize()
-
numpy.lib.function_base.dot()
-
numpy.lib.function_base.empty()
-
numpy.lib.function_base.extract()
-
numpy.lib.function_base.flip()
-
numpy.lib.function_base.hamming()
-
numpy.lib.function_base.hanning()
-
numpy.lib.function_base.histogram()
-
numpy.lib.function_base.interp()
-
numpy.lib.function_base.kaiser()
-
numpy.lib.function_base.mean()
-
numpy.lib.function_base.median()
-
numpy.lib.function_base.nonzero()
-
numpy.lib.function_base.ones()
-
numpy.lib.function_base.partition()
-
numpy.lib.function_base.percentile()
-
numpy.lib.function_base.quantile()
-
numpy.lib.function_base.ravel()
-
numpy.lib.function_base.select()
-
numpy.lib.function_base.sinc()
-
numpy.lib.function_base.sum()
-
numpy.lib.function_base.take()
-
numpy.lib.function_base.transpose()
-
numpy.lib.function_base.trapz()
-
numpy.lib.function_base.where()
-
numpy.lib.function_base.zeros()
-
numpy.lib.hamming()
-
numpy.lib.hanning()
-
numpy.lib.histogram()
-
numpy.lib.histograms.histogram()
-
numpy.lib.imag()
-
numpy.lib.index_tricks.arange()
-
numpy.lib.index_tricks.array()
-
numpy.lib.index_tricks.as_strided()
-
numpy.lib.index_tricks.asarray()
-
numpy.lib.index_tricks.cumprod()
-
numpy.lib.index_tricks.diff()
-
numpy.lib.index_tricks.fill_diagonal()
-
numpy.lib.index_tricks.linspace()
-
numpy.lib.interp()
-
numpy.lib.kaiser()
|
-
numpy.lib.kron()
-
numpy.lib.median()
-
numpy.lib.nancumprod()
-
numpy.lib.nancumsum()
-
numpy.lib.nanfunctions.nancumprod()
-
numpy.lib.nanfunctions.nancumsum()
-
numpy.lib.nanfunctions.nanmax()
-
numpy.lib.nanfunctions.nanmean()
-
numpy.lib.nanfunctions.nanmedian()
-
numpy.lib.nanfunctions.nanmin()
-
numpy.lib.nanfunctions.nanpercentile()
-
numpy.lib.nanfunctions.nanprod()
-
numpy.lib.nanfunctions.nanquantile()
-
numpy.lib.nanfunctions.nanstd()
-
numpy.lib.nanfunctions.nansum()
-
numpy.lib.nanfunctions.nanvar()
-
numpy.lib.nanmax()
-
numpy.lib.nanmean()
-
numpy.lib.nanmedian()
-
numpy.lib.nanmin()
-
numpy.lib.nanpercentile()
-
numpy.lib.nanprod()
-
numpy.lib.nanquantile()
-
numpy.lib.nanstd()
-
numpy.lib.nansum()
-
numpy.lib.nanvar()
-
numpy.lib.percentile()
-
numpy.lib.polynomial.array()
-
numpy.lib.polynomial.atleast_1d()
-
numpy.lib.polynomial.diag()
-
numpy.lib.polynomial.dot()
-
numpy.lib.polynomial.eigvals()
-
numpy.lib.polynomial.hstack()
-
numpy.lib.polynomial.imag()
-
numpy.lib.polynomial.inv()
-
numpy.lib.polynomial.lstsq()
-
numpy.lib.polynomial.ones()
-
numpy.lib.polynomial.real()
-
numpy.lib.polynomial.roots()
-
numpy.lib.polynomial.vander()
-
numpy.lib.quantile()
-
numpy.lib.real()
-
numpy.lib.roots()
-
numpy.lib.row_stack()
-
numpy.lib.scimath.any()
-
numpy.lib.scimath.asarray()
-
numpy.lib.select()
-
numpy.lib.shape_base.array()
-
numpy.lib.shape_base.array_split()
-
numpy.lib.shape_base.asarray()
-
numpy.lib.shape_base.atleast_3d()
-
numpy.lib.shape_base.column_stack()
-
numpy.lib.shape_base.concatenate()
-
numpy.lib.shape_base.dstack()
-
numpy.lib.shape_base.expand_dims()
-
numpy.lib.shape_base.kron()
-
numpy.lib.shape_base.outer()
-
numpy.lib.shape_base.reshape()
-
numpy.lib.shape_base.row_stack()
-
numpy.lib.shape_base.split()
-
numpy.lib.shape_base.transpose()
-
numpy.lib.shape_base.vstack()
-
numpy.lib.shape_base.zeros()
-
numpy.lib.sinc()
-
numpy.lib.split()
-
numpy.lib.stride_tricks.as_strided()
-
numpy.lib.trapz()
-
numpy.lib.tri()
-
numpy.lib.tril()
-
numpy.lib.tril_indices()
-
numpy.lib.tril_indices_from()
-
numpy.lib.triu()
-
numpy.lib.triu_indices()
-
numpy.lib.triu_indices_from()
-
numpy.lib.twodim_base.arange()
-
numpy.lib.twodim_base.asarray()
-
numpy.lib.twodim_base.diag()
-
numpy.lib.twodim_base.empty()
-
numpy.lib.twodim_base.eye()
-
numpy.lib.twodim_base.fliplr()
-
numpy.lib.twodim_base.flipud()
-
numpy.lib.twodim_base.nonzero()
-
numpy.lib.twodim_base.ones()
-
numpy.lib.twodim_base.tri()
-
numpy.lib.twodim_base.tril()
-
numpy.lib.twodim_base.tril_indices()
-
numpy.lib.twodim_base.tril_indices_from()
-
numpy.lib.twodim_base.triu()
-
numpy.lib.twodim_base.triu_indices()
-
numpy.lib.twodim_base.triu_indices_from()
-
numpy.lib.twodim_base.vander()
-
numpy.lib.twodim_base.where()
-
numpy.lib.twodim_base.zeros()
-
numpy.lib.type_check.asarray()
-
numpy.lib.type_check.asfarray()
-
numpy.lib.type_check.imag()
-
numpy.lib.type_check.real()
-
numpy.lib.type_check.zeros()
-
numpy.lib.unique()
-
numpy.lib.user_array.arange()
-
numpy.lib.user_array.array()
-
numpy.lib.user_array.asarray()
-
numpy.lib.user_array.reshape()
-
numpy.lib.user_array.shape()
-
numpy.lib.user_array.transpose()
-
numpy.lib.utils.asarray()
-
numpy.lib.vander()
-
numpy.linalg.cholesky()
-
numpy.linalg.cond()
-
numpy.linalg.det()
-
numpy.linalg.eig()
-
numpy.linalg.eigh()
-
numpy.linalg.eigvals()
-
numpy.linalg.eigvalsh()
-
numpy.linalg.inv()
-
numpy.linalg.linalg.all()
-
numpy.linalg.linalg.amax()
-
numpy.linalg.linalg.amin()
-
numpy.linalg.linalg.argsort()
-
numpy.linalg.linalg.array()
-
numpy.linalg.linalg.asarray()
-
numpy.linalg.linalg.atleast_2d()
-
numpy.linalg.linalg.cholesky()
-
numpy.linalg.linalg.cond()
-
numpy.linalg.linalg.count_nonzero()
-
numpy.linalg.linalg.det()
-
numpy.linalg.linalg.dot()
-
numpy.linalg.linalg.eig()
-
numpy.linalg.linalg.eigh()
-
numpy.linalg.linalg.eigvals()
-
numpy.linalg.linalg.eigvalsh()
-
numpy.linalg.linalg.empty()
-
numpy.linalg.linalg.empty_like()
-
numpy.linalg.linalg.eye()
-
numpy.linalg.linalg.inv()
-
numpy.linalg.linalg.lstsq()
-
numpy.linalg.linalg.matrix_power()
-
numpy.linalg.linalg.matrix_rank()
-
numpy.linalg.linalg.norm()
-
numpy.linalg.linalg.pinv()
-
numpy.linalg.linalg.qr()
-
numpy.linalg.linalg.slogdet()
-
numpy.linalg.linalg.solve()
-
numpy.linalg.linalg.sort()
-
numpy.linalg.linalg.sum()
-
numpy.linalg.linalg.svd()
-
numpy.linalg.linalg.triu()
-
numpy.linalg.linalg.zeros()
-
numpy.linalg.lstsq()
-
numpy.linalg.matrix_power()
-
numpy.linalg.matrix_rank()
-
numpy.linalg.norm()
-
numpy.linalg.pinv()
-
numpy.linalg.qr()
-
numpy.linalg.slogdet()
-
numpy.linalg.solve()
-
numpy.linalg.svd()
-
numpy.linspace()
-
numpy.ma.amax()
-
numpy.ma.amin()
-
numpy.ma.core.amax()
-
numpy.ma.core.amin()
-
numpy.ma.core.diff()
-
numpy.ma.core.expand_dims()
-
numpy.ma.core.narray()
-
numpy.ma.core.ones_like()
-
numpy.ma.core.reduce()
-
numpy.ma.core.zeros_like()
-
numpy.ma.diff()
-
numpy.ma.expand_dims()
-
numpy.ma.extras.nxarray()
-
numpy.ma.mrecords.narray()
-
numpy.ma.timer_comparison.reduce()
-
numpy.matlib.all()
-
numpy.matlib.amax()
-
numpy.matlib.amin()
-
numpy.matlib.angle()
-
numpy.matlib.any()
-
numpy.matlib.append()
-
numpy.matlib.arange()
-
numpy.matlib.argmax()
-
numpy.matlib.argmin()
-
numpy.matlib.argsort()
-
numpy.matlib.argwhere()
-
numpy.matlib.around()
-
numpy.matlib.array()
-
numpy.matlib.array_equal()
-
numpy.matlib.array_split()
-
numpy.matlib.asarray()
-
numpy.matlib.asarray_chkfinite()
-
numpy.matlib.ascontiguousarray()
-
numpy.matlib.asfarray()
-
numpy.matlib.asfortranarray()
-
numpy.matlib.atleast_1d()
-
numpy.matlib.atleast_2d()
-
numpy.matlib.atleast_3d()
-
numpy.matlib.bartlett()
-
numpy.matlib.bincount()
-
numpy.matlib.blackman()
-
numpy.matlib.column_stack()
-
numpy.matlib.concatenate()
-
numpy.matlib.convolve()
-
numpy.matlib.copy()
-
numpy.matlib.corrcoef()
-
numpy.matlib.correlate()
-
numpy.matlib.count_nonzero()
-
numpy.matlib.cov()
-
numpy.matlib.cross()
-
numpy.matlib.cumprod()
-
numpy.matlib.cumsum()
-
numpy.matlib.delete()
-
numpy.matlib.diag()
-
numpy.matlib.diff()
-
numpy.matlib.digitize()
-
numpy.matlib.dot()
-
numpy.matlib.dstack()
-
numpy.matlib.ediff1d()
-
numpy.matlib.empty_like()
-
numpy.matlib.expand_dims()
-
numpy.matlib.extract()
-
numpy.matlib.fill_diagonal()
-
numpy.matlib.flatnonzero()
-
numpy.matlib.flip()
-
numpy.matlib.fliplr()
-
numpy.matlib.flipud()
-
numpy.matlib.frombuffer()
-
numpy.matlib.full()
-
numpy.matlib.full_like()
-
numpy.matlib.hamming()
-
numpy.matlib.hanning()
-
numpy.matlib.histogram()
-
numpy.matlib.hstack()
-
numpy.matlib.imag()
-
numpy.matlib.interp()
-
numpy.matlib.kaiser()
-
numpy.matlib.kron()
-
numpy.matlib.linspace()
-
numpy.matlib.mean()
-
numpy.matlib.median()
-
numpy.matlib.nancumprod()
-
numpy.matlib.nancumsum()
-
numpy.matlib.nanmax()
-
numpy.matlib.nanmean()
-
numpy.matlib.nanmedian()
-
numpy.matlib.nanmin()
-
numpy.matlib.nanpercentile()
-
numpy.matlib.nanprod()
-
numpy.matlib.nanquantile()
-
numpy.matlib.nanstd()
-
numpy.matlib.nansum()
-
numpy.matlib.nanvar()
-
numpy.matlib.nonzero()
-
numpy.matlib.ones_like()
-
numpy.matlib.outer()
-
numpy.matlib.partition()
-
numpy.matlib.percentile()
-
numpy.matlib.prod()
-
numpy.matlib.ptp()
-
numpy.matlib.quantile()
-
numpy.matlib.ravel()
-
numpy.matlib.real()
-
numpy.matlib.repeat()
-
numpy.matlib.reshape()
-
numpy.matlib.roll()
-
numpy.matlib.roots()
-
numpy.matlib.round_()
-
numpy.matlib.row_stack()
-
numpy.matlib.searchsorted()
-
numpy.matlib.select()
-
numpy.matlib.shape()
-
numpy.matlib.sinc()
-
numpy.matlib.sort()
-
numpy.matlib.split()
-
numpy.matlib.stack()
-
numpy.matlib.std()
-
numpy.matlib.sum()
-
numpy.matlib.take()
-
numpy.matlib.trace()
-
numpy.matlib.transpose()
-
numpy.matlib.trapz()
-
numpy.matlib.tri()
-
numpy.matlib.tril()
-
numpy.matlib.tril_indices()
-
numpy.matlib.tril_indices_from()
-
numpy.matlib.triu()
-
numpy.matlib.triu_indices()
-
numpy.matlib.triu_indices_from()
-
numpy.matlib.unique()
-
numpy.matlib.vander()
-
numpy.matlib.var()
-
numpy.matlib.vdot()
-
numpy.matlib.vstack()
-
numpy.matlib.where()
-
numpy.matlib.zeros_like()
-
numpy.matrixlib.defmatrix.concatenate()
-
numpy.matrixlib.defmatrix.matrix_power()
-
numpy.max()
-
numpy.mean()
-
numpy.median()
-
numpy.min()
-
numpy.nancumprod()
-
numpy.nancumsum()
-
numpy.nanmax()
-
numpy.nanmean()
-
numpy.nanmedian()
-
numpy.nanmin()
-
numpy.nanpercentile()
-
numpy.nanprod()
-
numpy.nanquantile()
-
numpy.nanstd()
-
numpy.nansum()
-
numpy.nanvar()
-
numpy.nonzero()
-
numpy.ones()
-
numpy.ones_like()
-
numpy.outer()
-
numpy.partition()
-
numpy.percentile()
-
numpy.prod()
-
numpy.ptp()
-
numpy.quantile()
-
numpy.random.beta()
-
numpy.random.binomial()
-
numpy.random.chisquare()
-
numpy.random.choice()
-
numpy.random.exponential()
-
numpy.random.f()
-
numpy.random.gamma()
-
numpy.random.geometric()
-
numpy.random.gumbel()
-
numpy.random.hypergeometric()
-
numpy.random.laplace()
-
numpy.random.logistic()
-
numpy.random.lognormal()
-
numpy.random.logseries()
-
numpy.random.mtrand.beta()
-
numpy.random.mtrand.binomial()
-
numpy.random.mtrand.chisquare()
-
numpy.random.mtrand.choice()
-
numpy.random.mtrand.exponential()
-
numpy.random.mtrand.f()
-
numpy.random.mtrand.gamma()
-
numpy.random.mtrand.geometric()
-
numpy.random.mtrand.gumbel()
-
numpy.random.mtrand.hypergeometric()
-
numpy.random.mtrand.laplace()
-
numpy.random.mtrand.logistic()
-
numpy.random.mtrand.lognormal()
-
numpy.random.mtrand.logseries()
-
numpy.random.mtrand.multinomial()
-
numpy.random.mtrand.negative_binomial()
-
numpy.random.mtrand.normal()
-
numpy.random.mtrand.pareto()
-
numpy.random.mtrand.permutation()
-
numpy.random.mtrand.poisson()
-
numpy.random.mtrand.power()
-
numpy.random.mtrand.rand()
-
numpy.random.mtrand.randint()
-
numpy.random.mtrand.randn()
-
numpy.random.mtrand.random()
-
numpy.random.mtrand.random_sample()
-
numpy.random.mtrand.ranf()
-
numpy.random.mtrand.rayleigh()
-
numpy.random.mtrand.sample()
-
numpy.random.mtrand.seed()
-
numpy.random.mtrand.shuffle()
-
numpy.random.mtrand.standard_cauchy()
-
numpy.random.mtrand.standard_exponential()
-
numpy.random.mtrand.standard_gamma()
-
numpy.random.mtrand.standard_normal()
-
numpy.random.mtrand.standard_t()
-
numpy.random.mtrand.triangular()
-
numpy.random.mtrand.uniform()
-
numpy.random.mtrand.vonmises()
-
numpy.random.mtrand.wald()
-
numpy.random.mtrand.weibull()
-
numpy.random.mtrand.zipf()
-
numpy.random.multinomial()
-
numpy.random.negative_binomial()
-
numpy.random.normal()
-
numpy.random.pareto()
-
numpy.random.permutation()
-
numpy.random.poisson()
-
numpy.random.power()
-
numpy.random.rand()
-
numpy.random.randint()
-
numpy.random.randn()
-
numpy.random.random()
-
numpy.random.random_sample()
-
numpy.random.ranf()
-
numpy.random.rayleigh()
-
numpy.random.sample()
-
numpy.random.seed()
-
numpy.random.shuffle()
-
numpy.random.standard_cauchy()
-
numpy.random.standard_exponential()
-
numpy.random.standard_gamma()
-
numpy.random.standard_normal()
-
numpy.random.standard_t()
-
numpy.random.triangular()
-
numpy.random.uniform()
-
numpy.random.vonmises()
-
numpy.random.wald()
-
numpy.random.weibull()
-
numpy.random.zipf()
-
numpy.ravel()
-
numpy.real()
-
numpy.repeat()
-
numpy.reshape()
-
numpy.roll()
-
numpy.roots()
-
numpy.round()
-
numpy.round_()
-
numpy.row_stack()
-
numpy.searchsorted()
-
numpy.select()
-
numpy.shape()
-
numpy.sinc()
-
numpy.sort()
-
numpy.split()
-
numpy.stack()
-
numpy.std()
-
numpy.sum()
-
numpy.take()
-
numpy.trace()
-
numpy.transpose()
-
numpy.trapz()
-
numpy.tri()
-
numpy.tril()
-
numpy.tril_indices()
-
numpy.tril_indices_from()
-
numpy.triu()
-
numpy.triu_indices()
-
numpy.triu_indices_from()
-
numpy.unique()
-
numpy.vander()
-
numpy.var()
-
numpy.vdot()
-
numpy.vstack()
-
numpy.where()
-
numpy.zeros()
-
numpy.zeros_like()
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