7.9.1.4. Listings for numpy¶

7.9.1.4.1. numpy¶

numpy.all()¶

• defined by np_all(a) at numba/targets/arraymath.py:634-643

numpy.amax()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.amin()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.angle()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.any()¶

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.append()¶

• defined by np_append(arr, values, axis=None) at numba/targets/arrayobj.py:1696-1719

numpy.arange()¶

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.argmax()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmax'>

numpy.argmin()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmin'>

numpy.argsort()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argsort'>

numpy.around()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.array()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.array_equal()¶

• defined by np_array_equal(a, b) at numba/targets/arraymath.py:3263-3282

numpy.asarray()¶

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.ascontiguousarray()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.asfortranarray()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.atleast_1d()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.atleast_2d()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.atleast_3d()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.bartlett()¶

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.bincount()¶

• defined by np_bincount(a, weights=None) at numba/targets/arraymath.py:3295-3344

numpy.blackman()¶

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.column_stack()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.concatenate()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.convolve()¶

• defined by np_convolve(a, v) at numba/targets/arraymath.py:3832-3853

numpy.copy()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.corrcoef()¶

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/targets/arraymath.py:2629-2659

numpy.correlate()¶

• defined by _np_correlate(a, v) at numba/targets/arraymath.py:3793-3829

numpy.count_nonzero()¶

• defined by np_count_nonzero(arr, axis=None) at numba/targets/arraymath.py:3153-3170

numpy.cov()¶

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/targets/arraymath.py:2570-2627

numpy.cross()¶

• defined by np_cross(a, b) at numba/targets/arraymath.py:4183-4205

numpy.cumprod()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumprod'>

numpy.cumsum()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumsum'>

numpy.delete()¶

• defined by np_delete(arr, obj) at numba/targets/arraymath.py:3177-3221

numpy.diag()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.diff()¶

• defined by np_diff_impl(a, n=1) at numba/targets/arraymath.py:3224-3260

numpy.digitize()¶

• defined by np_digitize(x, bins, right=False) at numba/targets/arraymath.py:3412-3538

numpy.dot()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.dstack()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.ediff1d()¶

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/targets/arraymath.py:1610-1665

numpy.empty()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.empty_like()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.expand_dims()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.extract()¶

• defined by np_extract(condition, arr) at numba/targets/arraymath.py:3892-3915

numpy.eye()¶

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/targets/arrayobj.py:3674-3697

numpy.fill_diagonal()¶

• defined by np_fill_diagonal(a, val, wrap=False) at numba/targets/arraymath.py:2773-2803

numpy.flatnonzero()¶

• defined by np_flatnonzero(a) at numba/targets/arraymath.py:2665-2686

numpy.frombuffer()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.full()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.full_like()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.hamming()¶

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.hanning()¶

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.histogram()¶

• defined by np_histogram(a, bins=10, range=None) at numba/targets/arraymath.py:3544-3624

numpy.hstack()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.identity()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.imag()¶

• defined by np_imag(a) at numba/targets/arraymath.py:3142-3147

numpy.interp()¶

• defined by np_interp(x, xp, fp) at numba/targets/arraymath.py:2314-2380

numpy.kaiser()¶

• defined by np_kaiser(M, beta) at numba/targets/arraymath.py:4120-4139

numpy.kron()¶

• defined by kron_impl(a, b) at numba/targets/linalg.py:2746-2800

numpy.linspace()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.max()¶

Alias to: numpy.amax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.mean()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_mean'>

numpy.median()¶

• defined by np_median(a) at numba/targets/arraymath.py:1111-1123

numpy.min()¶

Alias to: numpy.amin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.nancumprod()¶

• defined by np_nancumprod(a) at numba/targets/arraymath.py:858-880

numpy.nancumsum()¶

• defined by np_nancumsum(a) at numba/targets/arraymath.py:882-904

numpy.nanmax()¶

• defined by np_nanmax(a) at numba/targets/arraymath.py:749-755

numpy.nanmean()¶

• defined by np_nanmean(a) at numba/targets/arraymath.py:759-776

numpy.nanmedian()¶

• defined by np_nanmedian(a) at numba/targets/arraymath.py:1306-1328

numpy.nanmin()¶

• defined by np_nanmin(a) at numba/targets/arraymath.py:740-746

numpy.nanpercentile()¶

• defined by np_nanpercentile(a, q) at numba/targets/arraymath.py:1279-1286

numpy.nanprod()¶

• defined by np_nanprod(a) at numba/targets/arraymath.py:836-855

numpy.nanquantile()¶

• defined by np_nanquantile(a, q) at numba/targets/arraymath.py:1298-1302

numpy.nanstd()¶

• defined by np_nanstd(a) at numba/targets/arraymath.py:802-810

numpy.nansum()¶

• defined by np_nansum(a) at numba/targets/arraymath.py:813-832

numpy.nanvar()¶

• defined by np_nanvar(a) at numba/targets/arraymath.py:778-800

numpy.nonzero()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_nonzero'>

numpy.ones()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.ones_like()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.outer()¶

• defined by outer_impl(a, b, out=None) at numba/targets/linalg.py:2656-2667

numpy.partition()¶

• defined by np_partition(a, kth) at numba/targets/arraymath.py:1387-1409

numpy.percentile()¶

• defined by np_percentile(a, q) at numba/targets/arraymath.py:1268-1275

numpy.prod()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_prod'>

numpy.ptp()¶

• defined by np_ptp(a) at numba/targets/arraymath.py:966-991

numpy.quantile()¶

• defined by np_quantile(a, q) at numba/targets/arraymath.py:1290-1294

numpy.ravel()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

numpy.real()¶

• defined by np_real(a) at numba/targets/arraymath.py:3134-3139

numpy.repeat()¶

• defined by np_repeat(a, repeats) at numba/targets/arrayobj.py:1912-1954

numpy.reshape()¶

• defined by np_reshape(a, shape) at numba/targets/arrayobj.py:1689-1693

numpy.roll()¶

• defined by np_roll(a, shift) at numba/targets/arraymath.py:1800-1820

numpy.roots()¶

• defined by roots_impl(p) at numba/targets/polynomial.py:14-59

numpy.round()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.round_()¶

Alias to: numpy.round

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.row_stack()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.searchsorted()¶

• defined by searchsorted(a, v, side='left') at numba/targets/arraymath.py:3377-3409

numpy.select()¶

• defined by np_select(condlist, choicelist, default=0) at numba/targets/arraymath.py:3918-3966

numpy.shape()¶

• defined by np_shape(a) at numba/targets/arrayobj.py:1890-1897

numpy.sinc()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.sort()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.stack()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.std()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_std'>

numpy.sum()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_sum'>

numpy.take()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.trace()¶

• defined by matrix_trace_impl(a, offset=0) at numba/targets/linalg.py:2577-2605

numpy.transpose()¶

• defined by numpy_transpose(a, axes=None) at numba/targets/arrayobj.py:1517-1529

numpy.trapz()¶

• defined by np_trapz(y, x=None, dx=1.0) at numba/targets/arraymath.py:1702-1721

numpy.tri()¶

• defined by np_tri(N, M=None, k=0) at numba/targets/arraymath.py:1428-1439

numpy.tril()¶

• defined by my_tril(m, k=0) at numba/targets/arraymath.py:1465-1489

numpy.tril_indices()¶

• defined by np_tril_indices(n, k=0, m=None) at numba/targets/arraymath.py:1492-1503

numpy.tril_indices_from()¶

• defined by np_tril_indices_from(arr, k=0) at numba/targets/arraymath.py:1506-1517

numpy.triu()¶

• defined by my_triu(m, k=0) at numba/targets/arraymath.py:1526-1549

numpy.triu_indices()¶

• defined by np_triu_indices(n, k=0, m=None) at numba/targets/arraymath.py:1552-1563

numpy.triu_indices_from()¶

• defined by np_triu_indices_from(arr, k=0) at numba/targets/arraymath.py:1566-1577

numpy.unique()¶

• defined by np_unique(a) at numba/targets/arrayobj.py:1902-1909

numpy.vander()¶

• defined by np_vander(x, N=None, increasing=False) at numba/targets/arraymath.py:1760-1797

numpy.var()¶

• defined by <class 'numba.typing.npydecl.Numpy_redirect_var'>

numpy.vdot()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.vstack()¶

Alias to: numpy.row_stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.where()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.zeros()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.zeros_like()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 200 unsupported functions.

supported = 121 / 321 = 37.69%

7.9.1.4.2. numpy.compat¶

This module is not supported.

7.9.1.4.3. numpy.compat.py3k¶

This module is not supported.

7.9.1.4.4. numpy.compat.setup¶

This module is not supported.

7.9.1.4.5. numpy.conftest¶

This module is not supported.

7.9.1.4.6. numpy.core¶

numpy.core.all()¶

Alias to: numpy.all

• defined by np_all(a) at numba/targets/arraymath.py:634-643

numpy.core.amax()¶

Alias to: numpy.amax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.core.amin()¶

Alias to: numpy.amin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.core.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.core.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.core.argmax()¶

Alias to: numpy.argmax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmax'>

numpy.core.argmin()¶

Alias to: numpy.argmin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmin'>

numpy.core.argsort()¶

Alias to: numpy.argsort

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argsort'>

numpy.core.around()¶

Alias to: numpy.around

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.array_equal()¶

Alias to: numpy.array_equal

• defined by np_array_equal(a, b) at numba/targets/arraymath.py:3263-3282

numpy.core.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.core.ascontiguousarray()¶

Alias to: numpy.ascontiguousarray

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.asfortranarray()¶

Alias to: numpy.asfortranarray

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.atleast_1d()¶

Alias to: numpy.atleast_1d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.atleast_2d()¶

Alias to: numpy.atleast_2d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.atleast_3d()¶

Alias to: numpy.atleast_3d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.convolve()¶

Alias to: numpy.convolve

• defined by np_convolve(a, v) at numba/targets/arraymath.py:3832-3853

numpy.core.correlate()¶

Alias to: numpy.correlate

• defined by _np_correlate(a, v) at numba/targets/arraymath.py:3793-3829

numpy.core.count_nonzero()¶

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/targets/arraymath.py:3153-3170

numpy.core.cross()¶

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/targets/arraymath.py:4183-4205

numpy.core.cumprod()¶

Alias to: numpy.cumprod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumprod'>

numpy.core.cumsum()¶

Alias to: numpy.cumsum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumsum'>

numpy.core.dot()¶

Alias to: numpy.dot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.empty_like()¶

Alias to: numpy.empty_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.flatnonzero()¶

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/targets/arraymath.py:2665-2686

numpy.core.frombuffer()¶

Alias to: numpy.frombuffer

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.full()¶

Alias to: numpy.full

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.full_like()¶

Alias to: numpy.full_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.hstack()¶

Alias to: numpy.hstack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.identity()¶

Alias to: numpy.identity

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.linspace()¶

Alias to: numpy.linspace

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.max()¶

Alias to: numpy.amax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.core.mean()¶

Alias to: numpy.mean

• defined by <class 'numba.typing.npydecl.Numpy_redirect_mean'>

numpy.core.min()¶

Alias to: numpy.amin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.core.nonzero()¶

Alias to: numpy.nonzero

• defined by <class 'numba.typing.npydecl.Numpy_redirect_nonzero'>

numpy.core.ones()¶

Alias to: numpy.ones

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.ones_like()¶

Alias to: numpy.ones_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.outer()¶

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/targets/linalg.py:2656-2667

numpy.core.partition()¶

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/targets/arraymath.py:1387-1409

numpy.core.prod()¶

Alias to: numpy.prod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_prod'>

numpy.core.ptp()¶

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/targets/arraymath.py:966-991

numpy.core.ravel()¶

Alias to: numpy.ravel

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

numpy.core.repeat()¶

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/targets/arrayobj.py:1912-1954

numpy.core.reshape()¶

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/targets/arrayobj.py:1689-1693

numpy.core.roll()¶

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/targets/arraymath.py:1800-1820

numpy.core.round()¶

Alias to: numpy.round

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.round_()¶

Alias to: numpy.round

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.searchsorted()¶

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/targets/arraymath.py:3377-3409

numpy.core.shape()¶

Alias to: numpy.shape

• defined by np_shape(a) at numba/targets/arrayobj.py:1890-1897

numpy.core.sort()¶

Alias to: numpy.sort

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.stack()¶

Alias to: numpy.stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.std()¶

Alias to: numpy.std

• defined by <class 'numba.typing.npydecl.Numpy_redirect_std'>

numpy.core.sum()¶

Alias to: numpy.sum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_sum'>

numpy.core.take()¶

Alias to: numpy.take

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.trace()¶

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/targets/linalg.py:2577-2605

numpy.core.transpose()¶

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/targets/arrayobj.py:1517-1529

numpy.core.var()¶

Alias to: numpy.var

• defined by <class 'numba.typing.npydecl.Numpy_redirect_var'>

numpy.core.vdot()¶

Alias to: numpy.vdot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.vstack()¶

Alias to: numpy.row_stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.where()¶

Alias to: numpy.where

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.zeros_like()¶

Alias to: numpy.zeros_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 86 unsupported functions.

supported = 65 / 151 = 43.05%

7.9.1.4.7. numpy.core.arrayprint¶

numpy.core.arrayprint.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.core.arrayprint.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.arrayprint.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.core.arrayprint.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.arrayprint.ravel()¶

Alias to: numpy.ravel

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

Not showing 21 unsupported functions.

supported = 5 / 26 = 19.23%

7.9.1.4.8. numpy.core.defchararray¶

numpy.core.defchararray.narray()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 54 unsupported functions.

supported = 1 / 55 = 1.82%

7.9.1.4.9. numpy.core.einsumfunc¶

This module is not supported.

7.9.1.4.10. numpy.core.fromnumeric¶

numpy.core.fromnumeric.all()¶

Alias to: numpy.all

• defined by np_all(a) at numba/targets/arraymath.py:634-643

numpy.core.fromnumeric.amax()¶

Alias to: numpy.amax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.core.fromnumeric.amin()¶

Alias to: numpy.amin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.core.fromnumeric.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.core.fromnumeric.argmax()¶

Alias to: numpy.argmax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmax'>

numpy.core.fromnumeric.argmin()¶

Alias to: numpy.argmin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmin'>

numpy.core.fromnumeric.argsort()¶

Alias to: numpy.argsort

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argsort'>

numpy.core.fromnumeric.around()¶

Alias to: numpy.around

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.core.fromnumeric.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.cumprod()¶

Alias to: numpy.cumprod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumprod'>

numpy.core.fromnumeric.cumsum()¶

Alias to: numpy.cumsum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumsum'>

numpy.core.fromnumeric.mean()¶

Alias to: numpy.mean

• defined by <class 'numba.typing.npydecl.Numpy_redirect_mean'>

numpy.core.fromnumeric.nonzero()¶

Alias to: numpy.nonzero

• defined by <class 'numba.typing.npydecl.Numpy_redirect_nonzero'>

numpy.core.fromnumeric.partition()¶

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/targets/arraymath.py:1387-1409

numpy.core.fromnumeric.prod()¶

Alias to: numpy.prod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_prod'>

numpy.core.fromnumeric.ptp()¶

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/targets/arraymath.py:966-991

numpy.core.fromnumeric.ravel()¶

Alias to: numpy.ravel

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

numpy.core.fromnumeric.repeat()¶

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/targets/arrayobj.py:1912-1954

numpy.core.fromnumeric.reshape()¶

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/targets/arrayobj.py:1689-1693

numpy.core.fromnumeric.round_()¶

Alias to: numpy.round

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.searchsorted()¶

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/targets/arraymath.py:3377-3409

numpy.core.fromnumeric.shape()¶

Alias to: numpy.shape

• defined by np_shape(a) at numba/targets/arrayobj.py:1890-1897

numpy.core.fromnumeric.sort()¶

Alias to: numpy.sort

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.std()¶

Alias to: numpy.std

• defined by <class 'numba.typing.npydecl.Numpy_redirect_std'>

numpy.core.fromnumeric.sum()¶

Alias to: numpy.sum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_sum'>

numpy.core.fromnumeric.take()¶

Alias to: numpy.take

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.fromnumeric.trace()¶

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/targets/linalg.py:2577-2605

numpy.core.fromnumeric.transpose()¶

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/targets/arrayobj.py:1517-1529

numpy.core.fromnumeric.var()¶

Alias to: numpy.var

• defined by <class 'numba.typing.npydecl.Numpy_redirect_var'>

Not showing 18 unsupported functions.

supported = 31 / 49 = 63.27%

7.9.1.4.11. numpy.core.function_base¶

numpy.core.function_base.linspace()¶

Alias to: numpy.linspace

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 7 unsupported functions.

supported = 1 / 8 = 12.50%

7.9.1.4.12. numpy.core.getlimits¶

numpy.core.getlimits.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 1 unsupported functions.

supported = 1 / 2 = 50.00%

7.9.1.4.13. numpy.core.info¶

This module is not supported.

7.9.1.4.14. numpy.core.machar¶

numpy.core.machar.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

Not showing 1 unsupported functions.

supported = 1 / 2 = 50.00%

7.9.1.4.15. numpy.core.multiarray¶

numpy.core.multiarray.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.core.multiarray.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.bincount()¶

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None) at numba/targets/arraymath.py:3295-3344

numpy.core.multiarray.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.dot()¶

Alias to: numpy.dot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.empty_like()¶

Alias to: numpy.empty_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.frombuffer()¶

Alias to: numpy.frombuffer

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.vdot()¶

Alias to: numpy.vdot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.where()¶

Alias to: numpy.where

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.multiarray.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 47 unsupported functions.

supported = 11 / 58 = 18.97%

7.9.1.4.16. numpy.core.numeric¶

numpy.core.numeric.all()¶

Alias to: numpy.all

• defined by np_all(a) at numba/targets/arraymath.py:634-643

numpy.core.numeric.amax()¶

Alias to: numpy.amax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_max'>

numpy.core.numeric.amin()¶

Alias to: numpy.amin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_min'>

numpy.core.numeric.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.core.numeric.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.core.numeric.argmax()¶

Alias to: numpy.argmax

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmax'>

numpy.core.numeric.argmin()¶

Alias to: numpy.argmin

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argmin'>

numpy.core.numeric.argsort()¶

Alias to: numpy.argsort

• defined by <class 'numba.typing.npydecl.Numpy_redirect_argsort'>

numpy.core.numeric.around()¶

Alias to: numpy.around

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.array_equal()¶

Alias to: numpy.array_equal

• defined by np_array_equal(a, b) at numba/targets/arraymath.py:3263-3282

numpy.core.numeric.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.core.numeric.ascontiguousarray()¶

Alias to: numpy.ascontiguousarray

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.asfortranarray()¶

Alias to: numpy.asfortranarray

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.convolve()¶

Alias to: numpy.convolve

• defined by np_convolve(a, v) at numba/targets/arraymath.py:3832-3853

numpy.core.numeric.correlate()¶

Alias to: numpy.correlate

• defined by _np_correlate(a, v) at numba/targets/arraymath.py:3793-3829

numpy.core.numeric.count_nonzero()¶

Alias to: numpy.count_nonzero

• defined by np_count_nonzero(arr, axis=None) at numba/targets/arraymath.py:3153-3170

numpy.core.numeric.cross()¶

Alias to: numpy.cross

• defined by np_cross(a, b) at numba/targets/arraymath.py:4183-4205

numpy.core.numeric.cumprod()¶

Alias to: numpy.cumprod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumprod'>

numpy.core.numeric.cumsum()¶

Alias to: numpy.cumsum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumsum'>

numpy.core.numeric.dot()¶

Alias to: numpy.dot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.empty_like()¶

Alias to: numpy.empty_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.flatnonzero()¶

Alias to: numpy.flatnonzero

• defined by np_flatnonzero(a) at numba/targets/arraymath.py:2665-2686

numpy.core.numeric.frombuffer()¶

Alias to: numpy.frombuffer

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.full()¶

Alias to: numpy.full

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.full_like()¶

Alias to: numpy.full_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.identity()¶

Alias to: numpy.identity

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.mean()¶

Alias to: numpy.mean

• defined by <class 'numba.typing.npydecl.Numpy_redirect_mean'>

numpy.core.numeric.nonzero()¶

Alias to: numpy.nonzero

• defined by <class 'numba.typing.npydecl.Numpy_redirect_nonzero'>

numpy.core.numeric.ones()¶

Alias to: numpy.ones

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.ones_like()¶

Alias to: numpy.ones_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.outer()¶

Alias to: numpy.outer

• defined by outer_impl(a, b, out=None) at numba/targets/linalg.py:2656-2667

numpy.core.numeric.partition()¶

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/targets/arraymath.py:1387-1409

numpy.core.numeric.prod()¶

Alias to: numpy.prod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_prod'>

numpy.core.numeric.ptp()¶

Alias to: numpy.ptp

• defined by np_ptp(a) at numba/targets/arraymath.py:966-991

numpy.core.numeric.ravel()¶

Alias to: numpy.ravel

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

numpy.core.numeric.repeat()¶

Alias to: numpy.repeat

• defined by np_repeat(a, repeats) at numba/targets/arrayobj.py:1912-1954

numpy.core.numeric.reshape()¶

Alias to: numpy.reshape

• defined by np_reshape(a, shape) at numba/targets/arrayobj.py:1689-1693

numpy.core.numeric.roll()¶

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/targets/arraymath.py:1800-1820

numpy.core.numeric.round_()¶

Alias to: numpy.round

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.searchsorted()¶

Alias to: numpy.searchsorted

• defined by searchsorted(a, v, side='left') at numba/targets/arraymath.py:3377-3409

numpy.core.numeric.shape()¶

Alias to: numpy.shape

• defined by np_shape(a) at numba/targets/arrayobj.py:1890-1897

numpy.core.numeric.sort()¶

Alias to: numpy.sort

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.std()¶

Alias to: numpy.std

• defined by <class 'numba.typing.npydecl.Numpy_redirect_std'>

numpy.core.numeric.sum()¶

Alias to: numpy.sum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_sum'>

numpy.core.numeric.take()¶

Alias to: numpy.take

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.trace()¶

Alias to: numpy.trace

• defined by matrix_trace_impl(a, offset=0) at numba/targets/linalg.py:2577-2605

numpy.core.numeric.transpose()¶

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/targets/arrayobj.py:1517-1529

numpy.core.numeric.var()¶

Alias to: numpy.var

• defined by <class 'numba.typing.npydecl.Numpy_redirect_var'>

numpy.core.numeric.vdot()¶

Alias to: numpy.vdot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.where()¶

Alias to: numpy.where

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numeric.zeros_like()¶

Alias to: numpy.zeros_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 85 unsupported functions.

supported = 55 / 140 = 39.29%

7.9.1.4.17. numpy.core.numerictypes¶

numpy.core.numerictypes.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.numerictypes.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 18 unsupported functions.

supported = 2 / 20 = 10.00%

7.9.1.4.18. numpy.core.overrides¶

This module is not supported.

7.9.1.4.19. numpy.core.records¶

This module is not supported.

7.9.1.4.20. numpy.core.setup_common¶

This module is not supported.

7.9.1.4.21. numpy.core.shape_base¶

numpy.core.shape_base.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.atleast_1d()¶

Alias to: numpy.atleast_1d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.atleast_2d()¶

Alias to: numpy.atleast_2d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.atleast_3d()¶

Alias to: numpy.atleast_3d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.hstack()¶

Alias to: numpy.hstack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.stack()¶

Alias to: numpy.stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.shape_base.vstack()¶

Alias to: numpy.row_stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 3 unsupported functions.

supported = 7 / 10 = 70.00%

7.9.1.4.22. numpy.core.umath¶

numpy.core.umath.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.core.umath.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.bincount()¶

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None) at numba/targets/arraymath.py:3295-3344

numpy.core.umath.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.dot()¶

Alias to: numpy.dot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.empty_like()¶

Alias to: numpy.empty_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.frombuffer()¶

Alias to: numpy.frombuffer

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.vdot()¶

Alias to: numpy.vdot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.where()¶

Alias to: numpy.where

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.core.umath.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 47 unsupported functions.

supported = 11 / 58 = 18.97%

7.9.1.4.23. numpy.core.umath_tests¶

This module is not supported.

7.9.1.4.24. numpy.ctypeslib¶

numpy.ctypeslib.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.ctypeslib.frombuffer()¶

Alias to: numpy.frombuffer

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 7 unsupported functions.

supported = 2 / 9 = 22.22%

7.9.1.4.25. numpy.distutils¶

This module is not supported.

7.9.1.4.26. numpy.distutils.ccompiler¶

This module is not supported.

7.9.1.4.27. numpy.distutils.command¶

This module is not supported.

7.9.1.4.28. numpy.distutils.command.autodist¶

This module is not supported.

7.9.1.4.29. numpy.distutils.command.bdist_rpm¶

This module is not supported.

7.9.1.4.30. numpy.distutils.command.build¶

This module is not supported.

7.9.1.4.31. numpy.distutils.command.build_clib¶

This module is not supported.

7.9.1.4.32. numpy.distutils.command.build_ext¶

This module is not supported.

7.9.1.4.33. numpy.distutils.command.build_py¶

This module is not supported.

7.9.1.4.34. numpy.distutils.command.build_scripts¶

This module is not supported.

7.9.1.4.35. numpy.distutils.command.build_src¶

This module is not supported.

7.9.1.4.36. numpy.distutils.command.config¶

This module is not supported.

7.9.1.4.37. numpy.distutils.command.config_compiler¶

This module is not supported.

7.9.1.4.38. numpy.distutils.command.develop¶

This module is not supported.

7.9.1.4.39. numpy.distutils.command.egg_info¶

This module is not supported.

7.9.1.4.40. numpy.distutils.command.install¶

This module is not supported.

7.9.1.4.41. numpy.distutils.command.install_clib¶

This module is not supported.

7.9.1.4.42. numpy.distutils.command.install_data¶

This module is not supported.

7.9.1.4.43. numpy.distutils.command.install_headers¶

This module is not supported.

7.9.1.4.44. numpy.distutils.command.sdist¶

This module is not supported.

7.9.1.4.45. numpy.distutils.compat¶

This module is not supported.

7.9.1.4.46. numpy.distutils.conv_template¶

This module is not supported.

7.9.1.4.47. numpy.distutils.core¶

This module is not supported.

7.9.1.4.48. numpy.distutils.cpuinfo¶

This module is not supported.

7.9.1.4.49. numpy.distutils.exec_command¶

This module is not supported.

7.9.1.4.50. numpy.distutils.extension¶

This module is not supported.

7.9.1.4.51. numpy.distutils.fcompiler¶

This module is not supported.

7.9.1.4.52. numpy.distutils.fcompiler.absoft¶

This module is not supported.

7.9.1.4.53. numpy.distutils.fcompiler.compaq¶

This module is not supported.

7.9.1.4.54. numpy.distutils.fcompiler.environment¶

This module is not supported.

7.9.1.4.55. numpy.distutils.fcompiler.g95¶

This module is not supported.

7.9.1.4.56. numpy.distutils.fcompiler.gnu¶

This module is not supported.

7.9.1.4.57. numpy.distutils.fcompiler.hpux¶

This module is not supported.

7.9.1.4.58. numpy.distutils.fcompiler.ibm¶

This module is not supported.

7.9.1.4.59. numpy.distutils.fcompiler.intel¶

This module is not supported.

7.9.1.4.60. numpy.distutils.fcompiler.lahey¶

This module is not supported.

7.9.1.4.61. numpy.distutils.fcompiler.mips¶

This module is not supported.

7.9.1.4.62. numpy.distutils.fcompiler.nag¶

This module is not supported.

7.9.1.4.63. numpy.distutils.fcompiler.none¶

This module is not supported.

7.9.1.4.64. numpy.distutils.fcompiler.pathf95¶

This module is not supported.

7.9.1.4.65. numpy.distutils.fcompiler.pg¶

This module is not supported.

7.9.1.4.66. numpy.distutils.fcompiler.sun¶

This module is not supported.

7.9.1.4.67. numpy.distutils.fcompiler.vast¶

This module is not supported.

7.9.1.4.68. numpy.distutils.from_template¶

This module is not supported.

7.9.1.4.69. numpy.distutils.info¶

This module is not supported.

7.9.1.4.70. numpy.distutils.intelccompiler¶

This module is not supported.

7.9.1.4.71. numpy.distutils.lib2def¶

This module is not supported.

7.9.1.4.72. numpy.distutils.line_endings¶

This module is not supported.

7.9.1.4.73. numpy.distutils.log¶

This module is not supported.

7.9.1.4.74. numpy.distutils.mingw32ccompiler¶

This module is not supported.

7.9.1.4.75. numpy.distutils.misc_util¶

This module is not supported.

7.9.1.4.76. numpy.distutils.msvccompiler¶

This module is not supported.

7.9.1.4.77. numpy.distutils.npy_pkg_config¶

This module is not supported.

7.9.1.4.78. numpy.distutils.numpy_distribution¶

This module is not supported.

7.9.1.4.79. numpy.distutils.pathccompiler¶

This module is not supported.

7.9.1.4.80. numpy.distutils.setup¶

This module is not supported.

7.9.1.4.81. numpy.distutils.system_info¶

numpy.distutils.system_info.reduce()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 18 unsupported functions.

supported = 1 / 19 = 5.26%

7.9.1.4.82. numpy.distutils.unixccompiler¶

This module is not supported.

7.9.1.4.83. numpy.doc¶

This module is not supported.

7.9.1.4.84. numpy.doc.basics¶

This module is not supported.

7.9.1.4.85. numpy.doc.broadcasting¶

This module is not supported.

7.9.1.4.86. numpy.doc.byteswapping¶

This module is not supported.

7.9.1.4.87. numpy.doc.constants¶

This module is not supported.

7.9.1.4.88. numpy.doc.creation¶

This module is not supported.

7.9.1.4.89. numpy.doc.glossary¶

This module is not supported.

7.9.1.4.90. numpy.doc.indexing¶

This module is not supported.

7.9.1.4.91. numpy.doc.internals¶

This module is not supported.

7.9.1.4.92. numpy.doc.misc¶

This module is not supported.

7.9.1.4.93. numpy.doc.structured_arrays¶

This module is not supported.

7.9.1.4.94. numpy.doc.subclassing¶

This module is not supported.

7.9.1.4.95. numpy.doc.ufuncs¶

This module is not supported.

7.9.1.4.96. numpy.dual¶

This module is not supported.

7.9.1.4.97. numpy.f2py¶

This module is not supported.

7.9.1.4.98. numpy.f2py.auxfuncs¶

numpy.f2py.auxfuncs.reduce()¶

Alias to: numpy.distutils.system_info.reduce

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 102 unsupported functions.

supported = 1 / 103 = 0.97%

7.9.1.4.99. numpy.f2py.capi_maps¶

This module is not supported.

7.9.1.4.100. numpy.f2py.cb_rules¶

This module is not supported.

7.9.1.4.101. numpy.f2py.cfuncs¶

This module is not supported.

7.9.1.4.102. numpy.f2py.common_rules¶

This module is not supported.

7.9.1.4.103. numpy.f2py.crackfortran¶

This module is not supported.

7.9.1.4.104. numpy.f2py.diagnose¶

This module is not supported.

7.9.1.4.105. numpy.f2py.f2py2e¶

This module is not supported.

7.9.1.4.106. numpy.f2py.f2py_testing¶

This module is not supported.

7.9.1.4.107. numpy.f2py.f90mod_rules¶

This module is not supported.

7.9.1.4.108. numpy.f2py.func2subr¶

This module is not supported.

7.9.1.4.109. numpy.f2py.info¶

This module is not supported.

7.9.1.4.110. numpy.f2py.rules¶

This module is not supported.

7.9.1.4.111. numpy.f2py.use_rules¶

This module is not supported.

7.9.1.4.112. numpy.fft¶

This module is not supported.

7.9.1.4.113. numpy.fft.fftpack¶

numpy.fft.fftpack.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.fft.fftpack.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.fft.fftpack.shape()¶

Alias to: numpy.shape

• defined by np_shape(a) at numba/targets/arrayobj.py:1890-1897

numpy.fft.fftpack.take()¶

Alias to: numpy.take

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.fft.fftpack.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 16 unsupported functions.

supported = 5 / 21 = 23.81%

7.9.1.4.114. numpy.fft.fftpack_lite¶

This module is not supported.

7.9.1.4.115. numpy.fft.helper¶

numpy.fft.helper.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.fft.helper.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.fft.helper.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.fft.helper.roll()¶

Alias to: numpy.roll

• defined by np_roll(a, shift) at numba/targets/arraymath.py:1800-1820

Not showing 6 unsupported functions.

supported = 4 / 10 = 40.00%

7.9.1.4.116. numpy.fft.info¶

This module is not supported.

7.9.1.4.117. numpy.fft.setup¶

This module is not supported.

7.9.1.4.118. numpy.lib¶

numpy.lib.angle()¶

Alias to: numpy.angle

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.append()¶

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/targets/arrayobj.py:1696-1719

numpy.lib.bartlett()¶

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.bincount()¶

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None) at numba/targets/arraymath.py:3295-3344

numpy.lib.blackman()¶

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.column_stack()¶

Alias to: numpy.column_stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.copy()¶

Alias to: numpy.copy

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.corrcoef()¶

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/targets/arraymath.py:2629-2659

numpy.lib.cov()¶

Alias to: numpy.cov

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/targets/arraymath.py:2570-2627

numpy.lib.delete()¶

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/targets/arraymath.py:3177-3221

numpy.lib.diag()¶

Alias to: numpy.diag

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.diff()¶

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/targets/arraymath.py:3224-3260

numpy.lib.digitize()¶

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/targets/arraymath.py:3412-3538

numpy.lib.dstack()¶

Alias to: numpy.dstack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.ediff1d()¶

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/targets/arraymath.py:1610-1665

numpy.lib.expand_dims()¶

Alias to: numpy.expand_dims

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.extract()¶

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/targets/arraymath.py:3892-3915

numpy.lib.eye()¶

Alias to: numpy.eye

• defined by numpy_eye(N, M=None, k=0, dtype=<class 'float'>) at numba/targets/arrayobj.py:3674-3697

numpy.lib.fill_diagonal()¶

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/targets/arraymath.py:2773-2803

numpy.lib.hamming()¶

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.hanning()¶

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.histogram()¶

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/targets/arraymath.py:3544-3624

numpy.lib.imag()¶

Alias to: numpy.imag

• defined by np_imag(a) at numba/targets/arraymath.py:3142-3147

numpy.lib.interp()¶

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/targets/arraymath.py:2314-2380

numpy.lib.kaiser()¶

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/targets/arraymath.py:4120-4139

numpy.lib.kron()¶

Alias to: numpy.kron

• defined by kron_impl(a, b) at numba/targets/linalg.py:2746-2800

numpy.lib.median()¶

Alias to: numpy.median

• defined by np_median(a) at numba/targets/arraymath.py:1111-1123

numpy.lib.nancumprod()¶

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/targets/arraymath.py:858-880

numpy.lib.nancumsum()¶

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/targets/arraymath.py:882-904

numpy.lib.nanmax()¶

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/targets/arraymath.py:749-755

numpy.lib.nanmean()¶

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/targets/arraymath.py:759-776

numpy.lib.nanmedian()¶

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/targets/arraymath.py:1306-1328

numpy.lib.nanmin()¶

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/targets/arraymath.py:740-746

numpy.lib.nanpercentile()¶

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/targets/arraymath.py:1279-1286

numpy.lib.nanprod()¶

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/targets/arraymath.py:836-855

numpy.lib.nanquantile()¶

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/targets/arraymath.py:1298-1302

numpy.lib.nanstd()¶

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/targets/arraymath.py:802-810

numpy.lib.nansum()¶

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/targets/arraymath.py:813-832

numpy.lib.nanvar()¶

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/targets/arraymath.py:778-800

numpy.lib.percentile()¶

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/targets/arraymath.py:1268-1275

numpy.lib.quantile()¶

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/targets/arraymath.py:1290-1294

numpy.lib.real()¶

Alias to: numpy.real

• defined by np_real(a) at numba/targets/arraymath.py:3134-3139

numpy.lib.roots()¶

Alias to: numpy.roots

• defined by roots_impl(p) at numba/targets/polynomial.py:14-59

numpy.lib.row_stack()¶

Alias to: numpy.row_stack

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.select()¶

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/targets/arraymath.py:3918-3966

numpy.lib.sinc()¶

Alias to: numpy.sinc

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.trapz()¶

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/targets/arraymath.py:1702-1721

numpy.lib.tri()¶

Alias to: numpy.tri

• defined by np_tri(N, M=None, k=0) at numba/targets/arraymath.py:1428-1439

numpy.lib.tril()¶

Alias to: numpy.tril

• defined by my_tril(m, k=0) at numba/targets/arraymath.py:1465-1489

numpy.lib.tril_indices()¶

Alias to: numpy.tril_indices

• defined by np_tril_indices(n, k=0, m=None) at numba/targets/arraymath.py:1492-1503

numpy.lib.tril_indices_from()¶

Alias to: numpy.tril_indices_from

• defined by np_tril_indices_from(arr, k=0) at numba/targets/arraymath.py:1506-1517

numpy.lib.triu()¶

Alias to: numpy.triu

• defined by my_triu(m, k=0) at numba/targets/arraymath.py:1526-1549

numpy.lib.triu_indices()¶

Alias to: numpy.triu_indices

• defined by np_triu_indices(n, k=0, m=None) at numba/targets/arraymath.py:1552-1563

numpy.lib.triu_indices_from()¶

Alias to: numpy.triu_indices_from

• defined by np_triu_indices_from(arr, k=0) at numba/targets/arraymath.py:1566-1577

numpy.lib.unique()¶

Alias to: numpy.unique

• defined by np_unique(a) at numba/targets/arrayobj.py:1902-1909

numpy.lib.vander()¶

Alias to: numpy.vander

• defined by np_vander(x, N=None, increasing=False) at numba/targets/arraymath.py:1760-1797

Not showing 113 unsupported functions.

supported = 56 / 169 = 33.14%

7.9.1.4.119. numpy.lib.arraypad¶

This module is not supported.

7.9.1.4.120. numpy.lib.arraysetops¶

numpy.lib.arraysetops.ediff1d()¶

Alias to: numpy.ediff1d

• defined by np_ediff1d(ary, to_end=None, to_begin=None) at numba/targets/arraymath.py:1610-1665

numpy.lib.arraysetops.unique()¶

Alias to: numpy.unique

• defined by np_unique(a) at numba/targets/arrayobj.py:1902-1909

Not showing 6 unsupported functions.

supported = 2 / 8 = 25.00%

7.9.1.4.121. numpy.lib.arrayterator¶

numpy.lib.arrayterator.mul()¶

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>
• defined by unicode_repeat(a, b) at numba/unicode.py:1442-1451
• defined by charseq_repeat(a, b) at numba/charseq.py:398-415
• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.arrayterator.reduce()¶

Alias to: numpy.distutils.system_info.reduce

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 0 unsupported functions.

supported = 2 / 2 = 100.00%

7.9.1.4.122. numpy.lib.financial¶

This module is not supported.

7.9.1.4.123. numpy.lib.format¶

This module is not supported.

7.9.1.4.124. numpy.lib.function_base¶

numpy.lib.function_base.angle()¶

Alias to: numpy.angle

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.any()¶

Alias to: numpy.any

• defined by np_any(a) at numba/targets/arraymath.py:646-655

numpy.lib.function_base.append()¶

Alias to: numpy.append

• defined by np_append(arr, values, axis=None) at numba/targets/arrayobj.py:1696-1719

numpy.lib.function_base.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.lib.function_base.around()¶

Alias to: numpy.around

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.lib.function_base.atleast_1d()¶

Alias to: numpy.atleast_1d

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.bartlett()¶

Alias to: numpy.bartlett

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.function_base.bincount()¶

Alias to: numpy.bincount

• defined by np_bincount(a, weights=None) at numba/targets/arraymath.py:3295-3344

numpy.lib.function_base.blackman()¶

Alias to: numpy.blackman

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.function_base.concatenate()¶

Alias to: numpy.concatenate

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.copy()¶

Alias to: numpy.copy

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.corrcoef()¶

Alias to: numpy.corrcoef

• defined by np_corrcoef(x, y=None, rowvar=True) at numba/targets/arraymath.py:2629-2659

numpy.lib.function_base.cov()¶

Alias to: numpy.cov

• defined by np_cov(m, y=None, rowvar=True, bias=False, ddof=None) at numba/targets/arraymath.py:2570-2627

numpy.lib.function_base.delete()¶

Alias to: numpy.delete

• defined by np_delete(arr, obj) at numba/targets/arraymath.py:3177-3221

numpy.lib.function_base.diag()¶

Alias to: numpy.diag

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.diff()¶

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/targets/arraymath.py:3224-3260

numpy.lib.function_base.digitize()¶

Alias to: numpy.digitize

• defined by np_digitize(x, bins, right=False) at numba/targets/arraymath.py:3412-3538

numpy.lib.function_base.dot()¶

Alias to: numpy.dot

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.empty()¶

Alias to: numpy.empty

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.empty_like()¶

Alias to: numpy.empty_like

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.extract()¶

Alias to: numpy.extract

• defined by np_extract(condition, arr) at numba/targets/arraymath.py:3892-3915

numpy.lib.function_base.hamming()¶

Alias to: numpy.hamming

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.function_base.hanning()¶

Alias to: numpy.hanning

• defined by window_generator.<locals>.window_overload(M) at numba/targets/arraymath.py:4002-4014

numpy.lib.function_base.histogram()¶

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/targets/arraymath.py:3544-3624

numpy.lib.function_base.interp()¶

Alias to: numpy.interp

• defined by np_interp(x, xp, fp) at numba/targets/arraymath.py:2314-2380

numpy.lib.function_base.kaiser()¶

Alias to: numpy.kaiser

• defined by np_kaiser(M, beta) at numba/targets/arraymath.py:4120-4139

numpy.lib.function_base.mean()¶

Alias to: numpy.mean

• defined by <class 'numba.typing.npydecl.Numpy_redirect_mean'>

numpy.lib.function_base.median()¶

Alias to: numpy.median

• defined by np_median(a) at numba/targets/arraymath.py:1111-1123

numpy.lib.function_base.nonzero()¶

Alias to: numpy.nonzero

• defined by <class 'numba.typing.npydecl.Numpy_redirect_nonzero'>

numpy.lib.function_base.ones()¶

Alias to: numpy.ones

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.partition()¶

Alias to: numpy.partition

• defined by np_partition(a, kth) at numba/targets/arraymath.py:1387-1409

numpy.lib.function_base.percentile()¶

Alias to: numpy.percentile

• defined by np_percentile(a, q) at numba/targets/arraymath.py:1268-1275

numpy.lib.function_base.quantile()¶

Alias to: numpy.quantile

• defined by np_quantile(a, q) at numba/targets/arraymath.py:1290-1294

numpy.lib.function_base.ravel()¶

Alias to: numpy.ravel

• defined by <class 'numba.typing.npydecl.Numpy_redirect_ravel'>

numpy.lib.function_base.select()¶

Alias to: numpy.select

• defined by np_select(condlist, choicelist, default=0) at numba/targets/arraymath.py:3918-3966

numpy.lib.function_base.sinc()¶

Alias to: numpy.sinc

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.sum()¶

Alias to: numpy.sum

• defined by <class 'numba.typing.npydecl.Numpy_redirect_sum'>

numpy.lib.function_base.take()¶

Alias to: numpy.take

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.transpose()¶

Alias to: numpy.transpose

• defined by numpy_transpose(a, axes=None) at numba/targets/arrayobj.py:1517-1529

numpy.lib.function_base.trapz()¶

Alias to: numpy.trapz

• defined by np_trapz(y, x=None, dx=1.0) at numba/targets/arraymath.py:1702-1721

numpy.lib.function_base.where()¶

Alias to: numpy.where

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.function_base.zeros()¶

Alias to: numpy.zeros

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 28 unsupported functions.

supported = 44 / 72 = 61.11%

7.9.1.4.125. numpy.lib.histograms¶

numpy.lib.histograms.histogram()¶

Alias to: numpy.histogram

• defined by np_histogram(a, bins=10, range=None) at numba/targets/arraymath.py:3544-3624

Not showing 2 unsupported functions.

supported = 1 / 3 = 33.33%

7.9.1.4.126. numpy.lib.index_tricks¶

numpy.lib.index_tricks.arange()¶

Alias to: numpy.arange

• defined by np_arange(start, stop=None, step=None, dtype=None) at numba/targets/arrayobj.py:3835-3901

numpy.lib.index_tricks.array()¶

Alias to: numpy.array

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

numpy.lib.index_tricks.as_strided()¶

• defined by as_strided(x, shape=None, strides=None) at numba/targets/arrayobj.py:5017-5043

numpy.lib.index_tricks.asarray()¶

Alias to: numpy.asarray

• defined by np_asarray(a, dtype=None) at numba/targets/arraymath.py:3856-3889

numpy.lib.index_tricks.cumprod()¶

Alias to: numpy.cumprod

• defined by <class 'numba.typing.npydecl.Numpy_redirect_cumprod'>

numpy.lib.index_tricks.diff()¶

Alias to: numpy.diff

• defined by np_diff_impl(a, n=1) at numba/targets/arraymath.py:3224-3260

numpy.lib.index_tricks.fill_diagonal()¶

Alias to: numpy.fill_diagonal

• defined by np_fill_diagonal(a, val, wrap=False) at numba/targets/arraymath.py:2773-2803

numpy.lib.index_tricks.linspace()¶

Alias to: numpy.linspace

• defined by <class 'numba.typing.templates.Registry.register_global.<locals>.decorate.<locals>.Template'>

Not showing 10 unsupported functions.

supported = 8 / 18 = 44.44%

7.9.1.4.127. numpy.lib.mixins¶

This module is not supported.

7.9.1.4.128. numpy.lib.nanfunctions¶

numpy.lib.nanfunctions.nancumprod()¶

Alias to: numpy.nancumprod

• defined by np_nancumprod(a) at numba/targets/arraymath.py:858-880

numpy.lib.nanfunctions.nancumsum()¶

Alias to: numpy.nancumsum

• defined by np_nancumsum(a) at numba/targets/arraymath.py:882-904

numpy.lib.nanfunctions.nanmax()¶

Alias to: numpy.nanmax

• defined by np_nanmax(a) at numba/targets/arraymath.py:749-755

numpy.lib.nanfunctions.nanmean()¶

Alias to: numpy.nanmean

• defined by np_nanmean(a) at numba/targets/arraymath.py:759-776

numpy.lib.nanfunctions.nanmedian()¶

Alias to: numpy.nanmedian

• defined by np_nanmedian(a) at numba/targets/arraymath.py:1306-1328

numpy.lib.nanfunctions.nanmin()¶

Alias to: numpy.nanmin

• defined by np_nanmin(a) at numba/targets/arraymath.py:740-746

numpy.lib.nanfunctions.nanpercentile()¶

Alias to: numpy.nanpercentile

• defined by np_nanpercentile(a, q) at numba/targets/arraymath.py:1279-1286

numpy.lib.nanfunctions.nanprod()¶

Alias to: numpy.nanprod

• defined by np_nanprod(a) at numba/targets/arraymath.py:836-855

numpy.lib.nanfunctions.nanquantile()¶

Alias to: numpy.nanquantile

• defined by np_nanquantile(a, q) at numba/targets/arraymath.py:1298-1302

numpy.lib.nanfunctions.nanstd()¶

Alias to: numpy.nanstd

• defined by np_nanstd(a) at numba/targets/arraymath.py:802-810

numpy.lib.nanfunctions.nansum()¶

Alias to: numpy.nansum

• defined by np_nansum(a) at numba/targets/arraymath.py:813-832

numpy.lib.nanfunctions.nanvar()¶

Alias to: numpy.nanvar

• defined by np_nanvar(a) at numba/targets/arraymath.py:778-800

Not showing 2 unsupported functions.

supported = 12 / 14 = 85.71%