abracudabra.conversion.carray

Convert to numpy or cupy arrays.

Functions

_torch_to_array(→ abracudabra.annotations.Array)	Convert a torch tensor to a numpy array.
_array_to_array(→ abracudabra.annotations.Array)	Convert a numpy/cupy array to a numpy/cupy array.
_pandas_frame_to_array(→ abracudabra.annotations.Array)
_cudf_frame_to_array(→ abracudabra.annotations.Array)
_any_to_array(→ abracudabra.annotations.Array)
to_array(→ abracudabra.annotations.Array)	Convert an array, series, or dataframe to a numpy array.

Module Contents

abracudabra.conversion.carray._torch_to_array(tensor: torch.Tensor, /, device: str | abracudabra.device.base.Device | None = None) → abracudabra.annotations.Array

Convert a torch tensor to a numpy array.

abracudabra.conversion.carray._array_to_array(array: abracudabra.annotations.Array, /, device: str | abracudabra.device.base.Device | None = None) → abracudabra.annotations.Array

Convert a numpy/cupy array to a numpy/cupy array.

The array is converted to the desired device if specified.

abracudabra.conversion.carray._pandas_frame_to_array(frame: pandas.Index | pandas.Series[Any] | pandas.DataFrame, /, device: str | abracudabra.device.base.Device | None = None) → abracudabra.annotations.Array

abracudabra.conversion.carray._cudf_frame_to_array(frame: cudf.Index | cudf.Series | cudf.DataFrame, /, device: str | abracudabra.device.base.Device | None = None) → abracudabra.annotations.Array

abracudabra.conversion.carray._any_to_array(sequence: object, /, device: str | abracudabra.device.base.Device | None) → abracudabra.annotations.Array

abracudabra.conversion.carray.to_array(sequence: abracudabra.annotations.Array | abracudabra.annotations.Series | abracudabra.annotations.DataFrame | torch.Tensor, /, device: str | abracudabra.device.base.Device | None = None, *, strict: bool = False) → abracudabra.annotations.Array

Convert an array, series, or dataframe to a numpy array.

Parameters:

• sequence – The sequence to convert.

• device – The device to convert the sequence to. If None, the sequence stays on the same device.

• strict – Whether to raise an error if the sequence is not a valid type. A numpy/cupy array, pandas/cudf series or dataframe, or torch tensor are valid types. If False, the sequence is converted to a numpy/cupy array if possible, but it might raise an error if the conversion is not possible.

Returns:

A numpy/cupy array.