| numpy | cupy | dask.array | jax | mxnet | pytorch | rnumpy | sparse | 
|---|---|---|---|---|---|---|---|
| numpy.absolute | absolute | absolute | absolute | abs | |||
| numpy.add | add | add | add | add | add | ||
| numpy.all | all | all | alltrue | all | |||
| numpy.allclose | allclose | allclose | allclose | allclose | allclose | ||
| numpy.amax | max | max | max | amax | |||
| numpy.amin | min | min | min | amin | |||
| numpy.angle | angle | angle | angle | angle | angle | ||
| numpy.any | any | any | sometrue | any | |||
| numpy.append | append | append | |||||
| numpy.apply_along_axis | apply_along_axis | ||||||
| numpy.apply_over_axes | apply_over_axes | ||||||
| numpy.arange | arange | arange | arange | arange | range | arange | |
| numpy.arccos | arccos | arccos | arccos | arccos | acos | arccos | |
| numpy.arccosh | arccosh | arccosh | arccosh | arccosh | arccosh | ||
| numpy.arcsin | arcsin | arcsin | arcsin | arcsin | asin | arcsin | |
| numpy.arcsinh | arcsinh | arcsinh | arcsinh | arcsinh | arcsinh | ||
| numpy.arctan | arctan | arctan | arctan | arctan | atan | arctan | |
| numpy.arctan2 | arctan2 | arctan2 | arctan2 | arctan2 | atan2 | arctan2 | |
| numpy.arctanh | arctanh | arctanh | arctanh | arctanh | arctanh | ||
| numpy.argmax | argmax | argmax | argmax | argmax | argmax | argmax | |
| numpy.argmin | argmin | argmin | argmin | argmin | argmin | argmin | |
| numpy.argpartition | argpartition | argpartition | |||||
| numpy.argsort | argsort | argsort | argsort | argsort | argsort | ||
| numpy.argwhere | argwhere | argwhere | argwhere | ||||
| numpy.around | around | round | around | around | |||
| numpy.array | array | array | array | array | tensor | array | |
| numpy.array2string | array2string | ||||||
| numpy.array_equal | |||||||
| numpy.array_equiv | |||||||
| numpy.array_repr | array_repr | array_repr | array_repr | ||||
| numpy.array_split | array_split | array_split | |||||
| numpy.array_str | array_str | array_str | array_str | ||||
| numpy.asanyarray | asanyarray | asanyarray | asanyarray | asanyarray | |||
| numpy.asarray | asarray | asarray | asarray | asarray | asarray | ||
| numpy.asarray_chkfinite | asarray_chkfinite | ||||||
| numpy.ascontiguousarray | ascontiguousarray | ascontiguousarray | |||||
| numpy.asfarray | asfarray | ||||||
| numpy.asfortranarray | asfortranarray | asfortranarray | |||||
| numpy.asmatrix | asmatrix | ||||||
| numpy.asscalar | asscalar | ||||||
| numpy.atleast_1d | atleast_1d | atleast_1d | atleast_1d | atleast_1d | atleast_1d | ||
| numpy.atleast_2d | atleast_2d | atleast_2d | atleast_2d | atleast_2d | atleast_2d | ||
| numpy.atleast_3d | atleast_3d | atleast_3d | atleast_3d | atleast_3d | atleast_3d | ||
| numpy.average | average | average | average | ||||
| numpy.bartlett | bartlett | bartlett_window | |||||
| numpy.base_repr | base_repr | base_repr | |||||
| numpy.binary_repr | binary_repr | binary_repr | |||||
| numpy.bincount | bincount | bincount | bincount | bincount | bincount | ||
| numpy.bitwise_and | bitwise_and | bitwise_and | bitwise_and | bitwise_and | |||
| numpy.bitwise_or | bitwise_or | bitwise_or | bitwise_or | bitwise_or | |||
| numpy.bitwise_xor | bitwise_xor | bitwise_xor | bitwise_xor | bitwise_xor | |||
| numpy.blackman | blackman | blackman | blackman_window | ||||
| numpy.block | block | block | block | block | |||
| numpy.bmat | bmat | ||||||
| numpy.broadcast_arrays | broadcast_arrays | broadcast_arrays | broadcast_arrays | broadcast_arrays | broadcast_tensors | ||
| numpy.broadcast_to | broadcast_to | broadcast_to | broadcast_to | broadcast_to | |||
| numpy.busday_count | |||||||
| numpy.busday_offset | |||||||
| numpy.can_cast | can_cast | can_cast | can_cast | ||||
| numpy.cbrt | cbrt | cbrt | |||||
| numpy.ceil | ceil | ceil | ceil | ceil | ceil | ceil | |
| numpy.char.add | |||||||
| numpy.char.array | core.defchararray.array | ||||||
| numpy.char.asarray | core.defchararray.asarray | ||||||
| numpy.char.capitalize | |||||||
| numpy.char.center | |||||||
| numpy.char.count | |||||||
| numpy.char.decode | |||||||
| numpy.char.encode | |||||||
| numpy.char.endswith | |||||||
| numpy.char.equal | |||||||
| numpy.char.expandtabs | |||||||
| numpy.char.find | |||||||
| numpy.char.greater | |||||||
| numpy.char.greater_equal | |||||||
| numpy.char.index | |||||||
| numpy.char.isalnum | |||||||
| numpy.char.isalpha | |||||||
| numpy.char.isdecimal | |||||||
| numpy.char.isdigit | |||||||
| numpy.char.islower | |||||||
| numpy.char.isnumeric | |||||||
| numpy.char.isspace | |||||||
| numpy.char.istitle | |||||||
| numpy.char.isupper | |||||||
| numpy.char.join | |||||||
| numpy.char.less | |||||||
| numpy.char.less_equal | |||||||
| numpy.char.ljust | |||||||
| numpy.char.lower | |||||||
| numpy.char.lstrip | |||||||
| numpy.char.mod | |||||||
| numpy.char.multiply | |||||||
| numpy.char.not_equal | |||||||
| numpy.char.partition | |||||||
| numpy.char.replace | |||||||
| numpy.char.rfind | |||||||
| numpy.char.rindex | |||||||
| numpy.char.rjust | |||||||
| numpy.char.rpartition | |||||||
| numpy.char.rsplit | |||||||
| numpy.char.rstrip | |||||||
| numpy.char.split | |||||||
| numpy.char.splitlines | |||||||
| numpy.char.startswith | |||||||
| numpy.char.str_len | |||||||
| numpy.char.strip | |||||||
| numpy.char.swapcase | |||||||
| numpy.char.title | |||||||
| numpy.char.translate | |||||||
| numpy.char.upper | |||||||
| numpy.char.zfill | |||||||
| numpy.choose | choose | ||||||
| numpy.clip | clip | clip | clip | clip | clip | ||
| numpy.column_stack | column_stack | column_stack | column_stack | ||||
| numpy.common_type | common_type | ||||||
| numpy.compress | compress | ||||||
| numpy.concatenate | concatenate | concatenate | concatenate | concatenate | cat | concatenate | concatenate | 
| numpy.conj | conj | conj | conj | conj | conj | conj | |
| numpy.conjugate | conjugate | conjugate | |||||
| numpy.convolve | convolve | convolve | |||||
| numpy.copy | copy | copy | |||||
| numpy.copysign | copysign | copysign | copysign | copysign | |||
| numpy.copyto | copyto | copyto | |||||
| numpy.core.records.array | core.records.array | ||||||
| numpy.core.records.fromarrays | core.records.fromarrays | ||||||
| numpy.core.records.fromfile | core.records.fromfile | ||||||
| numpy.core.records.fromrecords | core.records.fromrecords | ||||||
| numpy.core.records.fromstring | core.records.fromstring | ||||||
| numpy.corrcoef | corrcoef | corrcoef | corrcoef | corrcoef | corrcoef | ||
| numpy.correlate | correlate | correlate | correlate | ||||
| numpy.cos | cos | cos | cos | cos | cos | cos | |
| numpy.cosh | cosh | cosh | cosh | cosh | cosh | cosh | |
| numpy.count_nonzero | count_nonzero | count_nonzero | count_nonzero | count_nonzero | |||
| numpy.cov | cov | cov | cov | cov | cov | ||
| numpy.cross | cross | cross | cross | cross | |||
| numpy.cumprod | cumprod | cumprod | cumproduct | cumprod | cumprod | ||
| numpy.cumsum | cumsum | cumsum | cumsum | cumsum | cumsum | ||
| numpy.datetime_as_string | |||||||
| numpy.datetime_data | |||||||
| numpy.deg2rad | deg2rad | deg2rad | deg2rad | deg2rad | deg2rad | ||
| numpy.degrees | degrees | degrees | degrees | degrees | |||
| numpy.delete | delete | ||||||
| numpy.diag | diag | diag | diag | diag | diag | diag | |
| numpy.diag_indices | diag_indices | ||||||
| numpy.diag_indices_from | |||||||
| numpy.diagflat | diagflat | diagflat | diagflat | ||||
| numpy.diagonal | diagonal | diagonal | diagonal | diagonal | diagonal | ||
| numpy.diff | diff | diff | diff | ||||
| numpy.digitize | digitize | digitize | |||||
| numpy.divide | divide | divide | divide | div | divide | ||
| numpy.divmod | divmod | divmod | |||||
| numpy.dot | dot | dot | dot | dot | dot | dot | |
| numpy.dsplit | dsplit | dsplit | dsplit | ||||
| numpy.dstack | dstack | dstack | dstack | dstack | |||
| numpy.ediff1d | ediff1d | ediff1d | |||||
| numpy.einsum | einsum | einsum | einsum | einsum | einsum | einsum | |
| numpy.einsum_path | einsum_path | ||||||
| numpy.empty | empty | empty | empty | empty | empty | empty | |
| numpy.empty_like | empty_like | empty_like | empty_like | empty_like | empty_like | empty_like | |
| numpy.equal | equal | equal | eq | ||||
| numpy.exp | exp | exp | exp | exp | exp | exp | |
| numpy.exp2 | exp2 | exp2 | exp2 | ||||
| numpy.expand_dims | expand_dims | expand_dims | expand_dims | unsqueeze | |||
| numpy.expm1 | expm1 | expm1 | expm1 | expm1 | expm1 | ||
| numpy.extract | extract | ||||||
| numpy.eye | eye | eye | eye | eye | eye | eye | |
| numpy.fabs | fabs | fabs | fabs | ||||
| numpy.fft.fft | fft.fft | fft.fft | fft | fft | |||
| numpy.fft.fft2 | fft.fft2 | fft.fft2 | fft2 | ||||
| numpy.fft.fftfreq | fft.fftfreq | fft.fftfreq | fftfreq | ||||
| numpy.fft.fftn | fft.fftn | fft.fftn | fftn | ||||
| numpy.fft.fftshift | fft.fftshift | fft.fftshift | fftshift | ||||
| numpy.fft.hfft | fft.hfft | fft.hfft | |||||
| numpy.fft.ifft | fft.ifft | fft.ifft | ifft | ifft | |||
| numpy.fft.ifft2 | fft.ifft2 | fft.ifft2 | ifft2 | ||||
| numpy.fft.ifftn | fft.ifftn | fft.ifftn | ifftn | ||||
| numpy.fft.ifftshift | fft.ifftshift | fft.ifftshift | ifftshift | ||||
| numpy.fft.ihfft | fft.ihfft | fft.ihfft | |||||
| numpy.fft.irfft | fft.irfft | fft.irfft | irfft | irfft | |||
| numpy.fft.irfft2 | fft.irfft2 | fft.irfft2 | irfft2 | ||||
| numpy.fft.irfftn | fft.irfftn | fft.irfftn | irfftn | ||||
| numpy.fft.rfft | fft.rfft | fft.rfft | rfft | rfft | |||
| numpy.fft.rfft2 | fft.rfft2 | fft.rfft2 | rfft2 | ||||
| numpy.fft.rfftfreq | fft.rfftfreq | fft.rfftfreq | rfftfreq | ||||
| numpy.fft.rfftn | fft.rfftn | fft.rfftn | rfftn | ||||
| numpy.fill_diagonal | fill_diagonal | ||||||
| numpy.find_common_type | |||||||
| numpy.fix | fix | fix | fix | fix | |||
| numpy.flatnonzero | flatnonzero | flatnonzero | flatnonzero | ||||
| numpy.flip | flip | flip | flip | flip | flip | ||
| numpy.fliplr | fliplr | fliplr | fliplr | fliplr | |||
| numpy.flipud | flipud | flipud | flipud | flipud | |||
| numpy.float_power | float_power | float_power | |||||
| numpy.floor | floor | floor | floor | floor | floor | floor | |
| numpy.floor_divide | floor_divide | floor_divide | floor_divide | floor_divide | |||
| numpy.fmax | fmax | fmax | fmax | fmax | |||
| numpy.fmin | fmin | fmin | fmin | fmin | |||
| numpy.fmod | fmod | fmod | fmod | fmod | fmod | ||
| numpy.format_float_positional | format_float_positional | ||||||
| numpy.format_float_scientific | format_float_scientific | ||||||
| numpy.frexp | frexp | frexp | frexp | frexp | |||
| numpy.frombuffer | frombuffer | ||||||
| numpy.fromfile | fromfile | fromfile | |||||
| numpy.fromfunction | fromfunction | fromfunction | |||||
| numpy.fromiter | fromiter | ||||||
| numpy.frompyfunc | frompyfunc | ||||||
| numpy.fromregex | fromregex | ||||||
| numpy.fromstring | fromstring | ||||||
| numpy.full | full | full | full | full | full | full | |
| numpy.full_like | full_like | full_like | full_like | full_like | full_like | full_like | |
| numpy.fv | |||||||
| numpy.gcd | gcd | gcd | |||||
| numpy.genfromtxt | genfromtxt | ||||||
| numpy.geomspace | geomspace | geomspace | |||||
| numpy.get_printoptions | get_printoptions | ||||||
| numpy.getbufsize | |||||||
| numpy.geterr | |||||||
| numpy.geterrcall | |||||||
| numpy.geterrobj | |||||||
| numpy.gradient | gradient | gradient | |||||
| numpy.greater | greater | greater | gt | ||||
| numpy.greater_equal | greater_equal | greater_equal | ge | ||||
| numpy.hamming | hamming | hamming | hamming_window | ||||
| numpy.hanning | hanning | hanning | hann_window | ||||
| numpy.heaviside | heaviside | heaviside | |||||
| numpy.histogram | histogram | histogram | histogram | histc | histogram | ||
| numpy.histogram2d | histogram2d | histogram2d | |||||
| numpy.histogram_bin_edges | histogram_bin_edges | ||||||
| numpy.histogramdd | histogramdd | histogramdd | |||||
| numpy.hsplit | hsplit | hsplit | hsplit | ||||
| numpy.hstack | hstack | hstack | hstack | hstack | |||
| numpy.hypot | hypot | hypot | hypot | hypot | hypot | ||
| numpy.i0 | i0 | i0 | |||||
| numpy.identity | identity | identity | identity | ||||
| numpy.imag | imag | imag | imag | imag | imag | ||
| numpy.in1d | in1d | ||||||
| numpy.indices | indices | indices | |||||
| numpy.info | |||||||
| numpy.inner | inner | inner | inner | inner | |||
| numpy.insert | insert | insert | |||||
| numpy.interp | interp | ||||||
| numpy.intersect1d | |||||||
| numpy.invert | invert | invert | |||||
| numpy.ipmt | |||||||
| numpy.irr | |||||||
| numpy.is_busday | |||||||
| numpy.isclose | isclose | isclose | isclose | isclose | |||
| numpy.iscomplex | iscomplex | iscomplex | iscomplex | is_complex | iscomplex | ||
| numpy.iscomplexobj | iscomplexobj | ||||||
| numpy.isfinite | isfinite | isfinite | isfinite | isfinite | isfinite | ||
| numpy.isfortran | isfortran | ||||||
| numpy.isin | isin | isin | |||||
| numpy.isinf | isinf | isinf | isinf | isinf | isinf | ||
| numpy.isnan | isnan | isnan | isnan | isnan | isnan | ||
| numpy.isnat | |||||||
| numpy.isneginf | isneginf | isneginf | isneginf | ||||
| numpy.isposinf | isposinf | isposinf | isposinf | ||||
| numpy.isreal | isreal | isreal | isreal | is_floating_point | isreal | ||
| numpy.isrealobj | isrealobj | ||||||
| numpy.isscalar | isscalar | isscalar | |||||
| numpy.issctype | |||||||
| numpy.issubclass_ | |||||||
| numpy.issubdtype | issubdtype | ||||||
| numpy.issubsctype | issubsctype | ||||||
| numpy.ix_ | ix_ | ix_ | |||||
| numpy.kaiser | kaiser | ||||||
| numpy.kron | kron | kron | kron | kron | |||
| numpy.lcm | lcm | lcm | |||||
| numpy.ldexp | ldexp | ldexp | ldexp | ldexp | |||
| numpy.left_shift | left_shift | left_shift | |||||
| numpy.less | less | less | lt | ||||
| numpy.less_equal | less_equal | less_equal | le | ||||
| numpy.lexsort | lexsort | lexsort | |||||
| numpy.linalg.cholesky | linalg.cholesky | linalg.cholesky | cholesky | linalg.cholesky | cholesky | ||
| numpy.linalg.cond | cond | linalg.cond | |||||
| numpy.linalg.det | linalg.det | det | linalg.det | det | |||
| numpy.linalg.eig | eig | linalg.eig | eig | ||||
| numpy.linalg.eigh | linalg.eigh | eigh | linalg.eigh | ||||
| numpy.linalg.eigvals | eigvals | linalg.eigvals | |||||
| numpy.linalg.eigvalsh | linalg.eigvalsh | eigvalsh | symeig | ||||
| numpy.linalg.inv | linalg.inv | linalg.inv | inv | linalg.inv | inverse | ||
| numpy.linalg.lstsq | linalg.lstsq | linalg.lstsq | linalg.lstsq | lstsq | |||
| numpy.linalg.matrix_power | linalg.matrix_power | matrix_power | linalg.matrix_power | matrix_power | |||
| numpy.linalg.matrix_rank | linalg.matrix_rank | matrix_rank | linalg.matrix_rank | matrix_rank | |||
| numpy.linalg.multi_dot | multi_dot | linalg.multi_dot | |||||
| numpy.linalg.norm | linalg.norm | linalg.norm | norm | linalg.norm | norm | ||
| numpy.linalg.pinv | linalg.pinv | pinv | linalg.pinv | ||||
| numpy.linalg.qr | linalg.qr | linalg.qr | qr | linalg.qr | qr | ||
| numpy.linalg.slogdet | linalg.slogdet | slogdet | linalg.slogdet | slogdet | |||
| numpy.linalg.solve | linalg.solve | linalg.solve | solve | linalg.solve | solve | ||
| numpy.linalg.svd | linalg.svd | linalg.svd | svd | linalg.svd | svd | ||
| numpy.linalg.tensorinv | linalg.tensorinv | tensorinv | linalg.tensorinv | ||||
| numpy.linalg.tensorsolve | linalg.tensorsolve | tensorsolve | linalg.tensorsolve | ||||
| numpy.linspace | linspace | linspace | linspace | linspace | linspace | linspace | |
| numpy.load | load | load | load | ||||
| numpy.loadtxt | loadtxt | ||||||
| numpy.log | log | log | log | log | log | log | |
| numpy.log10 | log10 | log10 | log10 | log10 | log10 | ||
| numpy.log1p | log1p | log1p | log1p | log1p | log1p | ||
| numpy.log2 | log2 | log2 | log2 | log2 | log2 | ||
| numpy.logaddexp | logaddexp | logaddexp | logaddexp | logaddexp | logsumexp | logaddexp | |
| numpy.logaddexp2 | logaddexp2 | logaddexp2 | logaddexp2 | logaddexp2 | |||
| numpy.logical_and | logical_and | logical_and | logical_and | logical_and | logical_and | ||
| numpy.logical_not | logical_not | logical_not | logical_not | logical_not | logical_not | ||
| numpy.logical_or | logical_or | logical_or | logical_or | logical_or | logical_or | ||
| numpy.logical_xor | logical_xor | logical_xor | logical_xor | logical_xor | logical_xor | ||
| numpy.logspace | logspace | logspace | logspace | logspace | |||
| numpy.lookfor | |||||||
| numpy.ma.all | |||||||
| numpy.ma.allclose | |||||||
| numpy.ma.allequal | |||||||
| numpy.ma.anom | |||||||
| numpy.ma.anomalies | |||||||
| numpy.ma.any | |||||||
| numpy.ma.append | |||||||
| numpy.ma.apply_along_axis | |||||||
| numpy.ma.arange | |||||||
| numpy.ma.argmax | |||||||
| numpy.ma.argmin | |||||||
| numpy.ma.argsort | |||||||
| numpy.ma.around | |||||||
| numpy.ma.array | |||||||
| numpy.ma.asanyarray | |||||||
| numpy.ma.asarray | |||||||
| numpy.ma.atleast_1d | |||||||
| numpy.ma.atleast_2d | |||||||
| numpy.ma.atleast_3d | |||||||
| numpy.ma.average | ma.average | ||||||
| numpy.ma.choose | |||||||
| numpy.ma.clip | |||||||
| numpy.ma.clump_masked | |||||||
| numpy.ma.clump_unmasked | |||||||
| numpy.ma.column_stack | |||||||
| numpy.ma.common_fill_value | |||||||
| numpy.ma.compress_cols | |||||||
| numpy.ma.compress_rowcols | |||||||
| numpy.ma.compress_rows | |||||||
| numpy.ma.compressed | |||||||
| numpy.ma.concatenate | |||||||
| numpy.ma.conjugate | |||||||
| numpy.ma.copy | |||||||
| numpy.ma.corrcoef | |||||||
| numpy.ma.count | |||||||
| numpy.ma.count_masked | |||||||
| numpy.ma.cov | |||||||
| numpy.ma.cumprod | |||||||
| numpy.ma.cumsum | |||||||
| numpy.ma.default_fill_value | |||||||
| numpy.ma.diag | |||||||
| numpy.ma.dot | |||||||
| numpy.ma.dstack | |||||||
| numpy.ma.dump | |||||||
| numpy.ma.dumps | |||||||
| numpy.ma.ediff1d | |||||||
| numpy.ma.empty | |||||||
| numpy.ma.empty_like | |||||||
| numpy.ma.expand_dims | |||||||
| numpy.ma.filled | ma.filled | ||||||
| numpy.ma.fix_invalid | ma.fix_invalid | ||||||
| numpy.ma.flatnotmasked_contiguous | |||||||
| numpy.ma.flatnotmasked_edges | |||||||
| numpy.ma.frombuffer | |||||||
| numpy.ma.fromfunction | |||||||
| numpy.ma.getdata | ma.getdata | ||||||
| numpy.ma.getmask | |||||||
| numpy.ma.getmaskarray | ma.getmaskarray | ||||||
| numpy.ma.harden_mask | |||||||
| numpy.ma.hsplit | |||||||
| numpy.ma.hstack | |||||||
| numpy.ma.identity | |||||||
| numpy.ma.indices | |||||||
| numpy.ma.inner | |||||||
| numpy.ma.innerproduct | |||||||
| numpy.ma.is_mask | |||||||
| numpy.ma.is_masked | |||||||
| numpy.ma.load | |||||||
| numpy.ma.loads | |||||||
| numpy.ma.make_mask | |||||||
| numpy.ma.make_mask_descr | |||||||
| numpy.ma.make_mask_none | |||||||
| numpy.ma.mask_cols | |||||||
| numpy.ma.mask_or | |||||||
| numpy.ma.mask_rowcols | |||||||
| numpy.ma.mask_rows | |||||||
| numpy.ma.masked_all | |||||||
| numpy.ma.masked_all_like | |||||||
| numpy.ma.masked_equal | ma.masked_equal | ||||||
| numpy.ma.masked_greater | ma.masked_greater | ||||||
| numpy.ma.masked_greater_equal | ma.masked_greater_equal | ||||||
| numpy.ma.masked_inside | ma.masked_inside | ||||||
| numpy.ma.masked_invalid | ma.masked_invalid | ||||||
| numpy.ma.masked_less | ma.masked_less | ||||||
| numpy.ma.masked_less_equal | ma.masked_less_equal | ||||||
| numpy.ma.masked_not_equal | ma.masked_not_equal | ||||||
| numpy.ma.masked_object | |||||||
| numpy.ma.masked_outside | ma.masked_outside | ||||||
| numpy.ma.masked_values | ma.masked_values | ||||||
| numpy.ma.masked_where | ma.masked_where | masked_select | |||||
| numpy.ma.max | |||||||
| numpy.ma.maximum_fill_value | |||||||
| numpy.ma.mean | |||||||
| numpy.ma.median | |||||||
| numpy.ma.min | |||||||
| numpy.ma.nonzero | |||||||
| numpy.ma.notmasked_contiguous | |||||||
| numpy.ma.notmasked_edges | |||||||
| numpy.ma.ones | |||||||
| numpy.ma.outer | |||||||
| numpy.ma.outerproduct | |||||||
| numpy.ma.polyfit | |||||||
| numpy.ma.power | |||||||
| numpy.ma.prod | |||||||
| numpy.ma.ptp | |||||||
| numpy.ma.ravel | |||||||
| numpy.ma.reshape | |||||||
| numpy.ma.resize | |||||||
| numpy.ma.round | |||||||
| numpy.ma.row_stack | |||||||
| numpy.ma.set_fill_value | ma.set_fill_value | ||||||
| numpy.ma.shape | |||||||
| numpy.ma.size | |||||||
| numpy.ma.soften_mask | |||||||
| numpy.ma.sort | |||||||
| numpy.ma.squeeze | |||||||
| numpy.ma.stack | |||||||
| numpy.ma.std | |||||||
| numpy.ma.sum | |||||||
| numpy.ma.swapaxes | |||||||
| numpy.ma.trace | |||||||
| numpy.ma.transpose | |||||||
| numpy.ma.vander | |||||||
| numpy.ma.var | |||||||
| numpy.ma.vstack | |||||||
| numpy.ma.where | |||||||
| numpy.ma.zeros | |||||||
| numpy.mask_indices | |||||||
| numpy.mat | mat | ||||||
| numpy.matlib.empty | |||||||
| numpy.matlib.eye | |||||||
| numpy.matlib.identity | |||||||
| numpy.matlib.ones | |||||||
| numpy.matlib.rand | |||||||
| numpy.matlib.randn | |||||||
| numpy.matlib.repmat | |||||||
| numpy.matlib.zeros | |||||||
| numpy.matmul | matmul | matmul | matmul | matmul | mm | matmul | |
| numpy.maximum | maximum | maximum | maximum | maximum | max | ||
| numpy.maximum_sctype | |||||||
| numpy.may_share_memory | |||||||
| numpy.mean | mean | mean | mean | mean | mean | mean | |
| numpy.median | median | median | median | median | median | ||
| numpy.meshgrid | meshgrid | meshgrid | meshgrid | meshgrid | meshgrid | meshgrid | |
| numpy.min_scalar_type | |||||||
| numpy.minimum | minimum | minimum | minimum | minimum | min | ||
| numpy.mintypecode | |||||||
| numpy.mirr | |||||||
| numpy.mod | mod | mod | mod | mod | |||
| numpy.modf | modf | modf | modf | ||||
| numpy.moveaxis | moveaxis | moveaxis | moveaxis | moveaxis | moveaxis | ||
| numpy.msort | msort | msort | msort | ||||
| numpy.multiply | multiply | multiply | multiply | mul | multiply | ||
| numpy.nan_to_num | nan_to_num | nan_to_num | nan_to_num | nan_to_num | |||
| numpy.nanargmax | nanargmax | nanargmax | nanargmax | nanargmax | |||
| numpy.nanargmin | nanargmin | nanargmin | nanargmin | nanargmin | |||
| numpy.nancumprod | nancumprod | nancumprod | nancumprod | ||||
| numpy.nancumsum | nancumsum | nancumsum | nancumsum | ||||
| numpy.nanmax | nanmax | nanmax | nanmax | nanmax | nanmax | nanmax | |
| numpy.nanmean | nanmean | nanmean | nanmean | nanmean | nanmean | ||
| numpy.nanmedian | nanmedian | nanmedian | nanmedian | ||||
| numpy.nanmin | nanmin | nanmin | nanmin | nanmin | nanmin | nanmin | |
| numpy.nanpercentile | nanpercentile | ||||||
| numpy.nanprod | nanprod | nanprod | nanprod | nanprod | nanprod | ||
| numpy.nanquantile | nanquantile | nanquantile | |||||
| numpy.nanstd | nanstd | nanstd | nanstd | nanstd | |||
| numpy.nansum | nansum | nansum | nansum | nansum | nansum | nansum | |
| numpy.nanvar | nanvar | nanvar | nanvar | nanvar | |||
| numpy.negative | negative | negative | negative | neg | |||
| numpy.nested_iters | |||||||
| numpy.nextafter | nextafter | nextafter | nextafter | nextafter | |||
| numpy.nonzero | nonzero | nonzero | nonzero | nonzero | nonzero | nonzero | |
| numpy.not_equal | not_equal | not_equal | ne | ||||
| numpy.nper | |||||||
| numpy.npv | |||||||
| numpy.obj2sctype | |||||||
| numpy.ones | ones | ones | ones | ones | ones | ones | ones | 
| numpy.ones_like | ones_like | ones_like | ones_like | ones_like | ones_like | ones_like | ones_like | 
| numpy.outer | outer | outer | outer | outer | outer | outer | |
| numpy.packbits | packbits | packbits | |||||
| numpy.pad | pad | pad | pad | pad | |||
| numpy.partition | partition | partition | |||||
| numpy.percentile | percentile | percentile | percentile | percentile | |||
| numpy.piecewise | piecewise | ||||||
| numpy.place | place | ||||||
| numpy.pmt | |||||||
| numpy.poly | |||||||
| numpy.polyadd | |||||||
| numpy.polyder | |||||||
| numpy.polydiv | |||||||
| numpy.polyfit | |||||||
| numpy.polyint | |||||||
| numpy.polymul | |||||||
| numpy.polynomial.chebyshev.cheb2poly | |||||||
| numpy.polynomial.chebyshev.chebadd | |||||||
| numpy.polynomial.chebyshev.chebcompanion | |||||||
| numpy.polynomial.chebyshev.chebder | |||||||
| numpy.polynomial.chebyshev.chebdiv | |||||||
| numpy.polynomial.chebyshev.chebfit | |||||||
| numpy.polynomial.chebyshev.chebfromroots | |||||||
| numpy.polynomial.chebyshev.chebgauss | |||||||
| numpy.polynomial.chebyshev.chebgrid2d | |||||||
| numpy.polynomial.chebyshev.chebgrid3d | |||||||
| numpy.polynomial.chebyshev.chebint | |||||||
| numpy.polynomial.chebyshev.chebline | |||||||
| numpy.polynomial.chebyshev.chebmul | |||||||
| numpy.polynomial.chebyshev.chebmulx | |||||||
| numpy.polynomial.chebyshev.chebpow | |||||||
| numpy.polynomial.chebyshev.chebroots | |||||||
| numpy.polynomial.chebyshev.chebsub | |||||||
| numpy.polynomial.chebyshev.chebtrim | |||||||
| numpy.polynomial.chebyshev.chebval | |||||||
| numpy.polynomial.chebyshev.chebval2d | |||||||
| numpy.polynomial.chebyshev.chebval3d | |||||||
| numpy.polynomial.chebyshev.chebvander | |||||||
| numpy.polynomial.chebyshev.chebvander2d | |||||||
| numpy.polynomial.chebyshev.chebvander3d | |||||||
| numpy.polynomial.chebyshev.chebweight | |||||||
| numpy.polynomial.chebyshev.poly2cheb | |||||||
| numpy.polynomial.hermite.herm2poly | |||||||
| numpy.polynomial.hermite.hermadd | |||||||
| numpy.polynomial.hermite.hermcompanion | |||||||
| numpy.polynomial.hermite.hermder | |||||||
| numpy.polynomial.hermite.hermdiv | |||||||
| numpy.polynomial.hermite.hermfit | |||||||
| numpy.polynomial.hermite.hermfromroots | |||||||
| numpy.polynomial.hermite.hermgauss | |||||||
| numpy.polynomial.hermite.hermgrid2d | |||||||
| numpy.polynomial.hermite.hermgrid3d | |||||||
| numpy.polynomial.hermite.hermint | |||||||
| numpy.polynomial.hermite.hermline | |||||||
| numpy.polynomial.hermite.hermmul | |||||||
| numpy.polynomial.hermite.hermmulx | |||||||
| numpy.polynomial.hermite.hermpow | |||||||
| numpy.polynomial.hermite.hermroots | |||||||
| numpy.polynomial.hermite.hermsub | |||||||
| numpy.polynomial.hermite.hermtrim | |||||||
| numpy.polynomial.hermite.hermval | |||||||
| numpy.polynomial.hermite.hermval2d | |||||||
| numpy.polynomial.hermite.hermval3d | |||||||
| numpy.polynomial.hermite.hermvander | |||||||
| numpy.polynomial.hermite.hermvander2d | |||||||
| numpy.polynomial.hermite.hermvander3d | |||||||
| numpy.polynomial.hermite.hermweight | |||||||
| numpy.polynomial.hermite.poly2herm | |||||||
| numpy.polynomial.hermite_e.herme2poly | |||||||
| numpy.polynomial.hermite_e.hermeadd | |||||||
| numpy.polynomial.hermite_e.hermecompanion | |||||||
| numpy.polynomial.hermite_e.hermeder | |||||||
| numpy.polynomial.hermite_e.hermediv | |||||||
| numpy.polynomial.hermite_e.hermefit | |||||||
| numpy.polynomial.hermite_e.hermefromroots | |||||||
| numpy.polynomial.hermite_e.hermegauss | |||||||
| numpy.polynomial.hermite_e.hermegrid2d | |||||||
| numpy.polynomial.hermite_e.hermegrid3d | |||||||
| numpy.polynomial.hermite_e.hermeint | |||||||
| numpy.polynomial.hermite_e.hermeline | |||||||
| numpy.polynomial.hermite_e.hermemul | |||||||
| numpy.polynomial.hermite_e.hermemulx | |||||||
| numpy.polynomial.hermite_e.hermepow | |||||||
| numpy.polynomial.hermite_e.hermeroots | |||||||
| numpy.polynomial.hermite_e.hermesub | |||||||
| numpy.polynomial.hermite_e.hermetrim | |||||||
| numpy.polynomial.hermite_e.hermeval | |||||||
| numpy.polynomial.hermite_e.hermeval2d | |||||||
| numpy.polynomial.hermite_e.hermeval3d | |||||||
| numpy.polynomial.hermite_e.hermevander | |||||||
| numpy.polynomial.hermite_e.hermevander2d | |||||||
| numpy.polynomial.hermite_e.hermevander3d | |||||||
| numpy.polynomial.hermite_e.hermeweight | |||||||
| numpy.polynomial.hermite_e.poly2herme | |||||||
| numpy.polynomial.laguerre.lag2poly | |||||||
| numpy.polynomial.laguerre.lagadd | |||||||
| numpy.polynomial.laguerre.lagcompanion | |||||||
| numpy.polynomial.laguerre.lagder | |||||||
| numpy.polynomial.laguerre.lagdiv | |||||||
| numpy.polynomial.laguerre.lagfit | |||||||
| numpy.polynomial.laguerre.lagfromroots | |||||||
| numpy.polynomial.laguerre.laggauss | |||||||
| numpy.polynomial.laguerre.laggrid2d | |||||||
| numpy.polynomial.laguerre.laggrid3d | |||||||
| numpy.polynomial.laguerre.lagint | |||||||
| numpy.polynomial.laguerre.lagline | |||||||
| numpy.polynomial.laguerre.lagmul | |||||||
| numpy.polynomial.laguerre.lagmulx | |||||||
| numpy.polynomial.laguerre.lagpow | |||||||
| numpy.polynomial.laguerre.lagroots | |||||||
| numpy.polynomial.laguerre.lagsub | |||||||
| numpy.polynomial.laguerre.lagtrim | |||||||
| numpy.polynomial.laguerre.lagval | |||||||
| numpy.polynomial.laguerre.lagval2d | |||||||
| numpy.polynomial.laguerre.lagval3d | |||||||
| numpy.polynomial.laguerre.lagvander | |||||||
| numpy.polynomial.laguerre.lagvander2d | |||||||
| numpy.polynomial.laguerre.lagvander3d | |||||||
| numpy.polynomial.laguerre.lagweight | |||||||
| numpy.polynomial.laguerre.poly2lag | |||||||
| numpy.polynomial.legendre.leg2poly | |||||||
| numpy.polynomial.legendre.legadd | |||||||
| numpy.polynomial.legendre.legcompanion | |||||||
| numpy.polynomial.legendre.legder | |||||||
| numpy.polynomial.legendre.legdiv | |||||||
| numpy.polynomial.legendre.legfit | |||||||
| numpy.polynomial.legendre.legfromroots | |||||||
| numpy.polynomial.legendre.leggauss | |||||||
| numpy.polynomial.legendre.leggrid2d | |||||||
| numpy.polynomial.legendre.leggrid3d | |||||||
| numpy.polynomial.legendre.legint | |||||||
| numpy.polynomial.legendre.legline | |||||||
| numpy.polynomial.legendre.legmul | |||||||
| numpy.polynomial.legendre.legmulx | |||||||
| numpy.polynomial.legendre.legpow | |||||||
| numpy.polynomial.legendre.legroots | |||||||
| numpy.polynomial.legendre.legsub | |||||||
| numpy.polynomial.legendre.legtrim | |||||||
| numpy.polynomial.legendre.legval | |||||||
| numpy.polynomial.legendre.legval2d | |||||||
| numpy.polynomial.legendre.legval3d | |||||||
| numpy.polynomial.legendre.legvander | |||||||
| numpy.polynomial.legendre.legvander2d | |||||||
| numpy.polynomial.legendre.legvander3d | |||||||
| numpy.polynomial.legendre.legweight | |||||||
| numpy.polynomial.legendre.poly2leg | |||||||
| numpy.polynomial.polynomial.polyadd | |||||||
| numpy.polynomial.polynomial.polycompanion | |||||||
| numpy.polynomial.polynomial.polyder | |||||||
| numpy.polynomial.polynomial.polydiv | |||||||
| numpy.polynomial.polynomial.polyfit | |||||||
| numpy.polynomial.polynomial.polyfromroots | |||||||
| numpy.polynomial.polynomial.polygrid2d | |||||||
| numpy.polynomial.polynomial.polygrid3d | |||||||
| numpy.polynomial.polynomial.polyint | |||||||
| numpy.polynomial.polynomial.polyline | |||||||
| numpy.polynomial.polynomial.polymul | |||||||
| numpy.polynomial.polynomial.polymulx | |||||||
| numpy.polynomial.polynomial.polypow | |||||||
| numpy.polynomial.polynomial.polyroots | |||||||
| numpy.polynomial.polynomial.polysub | |||||||
| numpy.polynomial.polynomial.polytrim | |||||||
| numpy.polynomial.polynomial.polyval | |||||||
| numpy.polynomial.polynomial.polyval2d | |||||||
| numpy.polynomial.polynomial.polyval3d | |||||||
| numpy.polynomial.polynomial.polyvalfromroots | |||||||
| numpy.polynomial.polynomial.polyvander | |||||||
| numpy.polynomial.polynomial.polyvander2d | |||||||
| numpy.polynomial.polynomial.polyvander3d | |||||||
| numpy.polynomial.polyutils.as_series | |||||||
| numpy.polynomial.polyutils.getdomain | |||||||
| numpy.polynomial.polyutils.mapdomain | |||||||
| numpy.polynomial.polyutils.mapparms | |||||||
| numpy.polynomial.polyutils.trimcoef | |||||||
| numpy.polynomial.polyutils.trimseq | |||||||
| numpy.polysub | |||||||
| numpy.polyval | polyval | ||||||
| numpy.positive | positive | positive | |||||
| numpy.power | power | power | power | pow | power | ||
| numpy.ppmt | |||||||
| numpy.printoptions | printoptions | ||||||
| numpy.prod | prod | prod | product | prod | prod | ||
| numpy.promote_types | promote_types | promote_types | |||||
| numpy.ptp | ptp | ptp | ptp | ||||
| numpy.put | put | ||||||
| numpy.put_along_axis | |||||||
| numpy.putmask | |||||||
| numpy.pv | |||||||
| numpy.quantile | quantile | quantile | quantile | ||||
| numpy.rad2deg | rad2deg | rad2deg | rad2deg | rad2deg | rad2deg | ||
| numpy.radians | radians | radians | radians | radians | |||
| numpy.random.default_rng | |||||||
| numpy.random.entropy.random_entropy | |||||||
| numpy.rate | |||||||
| numpy.ravel | ravel | ravel | ravel | ravel | ravel | ||
| numpy.ravel_multi_index | |||||||
| numpy.real | real | real | real | real | real | ||
| numpy.real_if_close | real_if_close | ||||||
| numpy.reciprocal | reciprocal | reciprocal | reciprocal | ||||
| numpy.remainder | remainder | remainder | remainder | remainder | |||
| numpy.repeat | repeat | repeat | repeat | repeat | repeat | ||
| numpy.require | require | ||||||
| numpy.reshape | reshape | reshape | reshape | reshape | reshape | ||
| numpy.resize | resize | ||||||
| numpy.result_type | result_type | result_type | result_type | result_type | result_type | ||
| numpy.right_shift | right_shift | right_shift | |||||
| numpy.rint | rint | rint | rint | rint | |||
| numpy.roll | roll | roll | roll | roll | roll | roll | |
| numpy.rollaxis | rollaxis | rollaxis | rollaxis | rollaxis | |||
| numpy.roots | roots | ||||||
| numpy.rot90 | rot90 | rot90 | rot90 | rot90 | |||
| numpy.round_ | round_ | round | round_ | round | |||
| numpy.save | save | save | save | ||||
| numpy.savetxt | savetxt | ||||||
| numpy.savez | savez | savez | savez | ||||
| numpy.savez_compressed | savez_compressed | savez_compressed | |||||
| numpy.sctype2char | |||||||
| numpy.searchsorted | searchsorted | searchsorted | |||||
| numpy.select | select | ||||||
| numpy.set_printoptions | set_printoptions | ||||||
| numpy.set_string_function | set_string_function | ||||||
| numpy.setbufsize | |||||||
| numpy.setdiff1d | |||||||
| numpy.seterr | |||||||
| numpy.seterrcall | |||||||
| numpy.seterrobj | |||||||
| numpy.setxor1d | |||||||
| numpy.shares_memory | |||||||
| numpy.sign | sign | sign | sign | sign | sign | sign | |
| numpy.signbit | signbit | signbit | signbit | signbit | |||
| numpy.sin | sin | sin | sin | sin | sin | sin | |
| numpy.sinc | sinc | sinc | sinc | ||||
| numpy.sinh | sinh | sinh | sinh | sinh | sinh | sinh | |
| numpy.sort | sort | sort | sort | sort | sort | ||
| numpy.sort_complex | sort_complex | ||||||
| numpy.source | |||||||
| numpy.spacing | spacing | ||||||
| numpy.split | split | split | split | split | |||
| numpy.sqrt | sqrt | sqrt | sqrt | sqrt | sqrt | sqrt | |
| numpy.square | square | square | square | square | square | ||
| numpy.squeeze | squeeze | squeeze | squeeze | squeeze | squeeze | squeeze | |
| numpy.stack | stack | stack | stack | stack | stack | stack | stack | 
| numpy.std | std | std | std | std | std | std | |
| numpy.subtract | subtract | subtract | subtract | subtract | |||
| numpy.sum | sum | sum | sum | sum | sum | ||
| numpy.swapaxes | swapaxes | swapaxes | swapaxes | swapaxes | |||
| numpy.take | take | take | take | take | |||
| numpy.take_along_axis | take_along_axis | take_along_axis | |||||
| numpy.tan | tan | tan | tan | tan | tan | tan | |
| numpy.tanh | tanh | tanh | tanh | tanh | tanh | tanh | |
| numpy.tensordot | tensordot | tensordot | tensordot | tensordot | tensordot | tensordot | tensordot | 
| numpy.tile | tile | tile | tile | tile | tile | ||
| numpy.trace | trace | trace | trace | trace | trace | ||
| numpy.transpose | transpose | transpose | transpose | transpose | transpose | ||
| numpy.trapz | trapz | trapz | |||||
| numpy.tri | tri | tri | tri | ||||
| numpy.tril | tril | tril | tril | tril | tril | tril | |
| numpy.tril_indices | tril_indices | tril_indices | |||||
| numpy.tril_indices_from | |||||||
| numpy.trim_zeros | trim_zeros | ||||||
| numpy.triu | triu | triu | triu | triu | triu | triu | |
| numpy.triu_indices | triu_indices | triu_indices | |||||
| numpy.triu_indices_from | |||||||
| numpy.true_divide | true_divide | true_divide | true_divide | true_divide | |||
| numpy.trunc | trunc | trunc | trunc | trunc | trunc | ||
| numpy.typename | |||||||
| numpy.union1d | |||||||
| numpy.unique | unique | unique | unique | unique | unique | ||
| numpy.unpackbits | unpackbits | unpackbits | |||||
| numpy.unravel_index | unravel_index | unravel_index | |||||
| numpy.unwrap | unwrap | unwrap | |||||
| numpy.vander | vander | vander | |||||
| numpy.var | var | var | var | var | var | var | |
| numpy.vdot | vdot | vdot | vdot | vdot | |||
| numpy.vsplit | vsplit | vsplit | vsplit | ||||
| numpy.vstack | vstack | vstack | vstack | vstack | |||
| numpy.where | where | where | where | where | where | where | where | 
| numpy.zeros | zeros | zeros | zeros | zeros | zeros | zeros | zeros | 
| numpy.zeros_like | zeros_like | zeros_like | zeros_like | zeros_like | zeros_like | zeros_like | zeros_like |