PATimeSeries

class patato.PATimeSeries(data, dimensions, coordinates=None, attributes=None, hdf5_sub_name=None, algorithm_id=None)

Bases: PARawData

PATimeSeries is the data structure for time-domain raw PA data.

__init__(data, dimensions, coordinates=None, attributes=None, hdf5_sub_name=None, algorithm_id=None)

Parameters:

• data –

• dimensions –

• coordinates –

• attributes –

• hdf5_sub_name –

• algorithm_id –

Methods

__init__(data, dimensions[, coordinates, ...])	param data:
ax_0_exists()
copy([cls])
from_numpy(dataset, wavelengths, fs[, ...])	Create a PATimeSeries class from a NumPy array.
get_ax1_label_meaning()
get_hdf5_group_name()
get_hdf5_sub_name()
imshow([ax, roi_mask, mask_roi, cmap, ...])
is_single_instance()
save(scan_writer)
to_2d()
to_opencl(queue)
two_dims()

Attributes

attributes
ax_0_labels
ax_1_labels
cmap
dtype
extent
n_im_dim
ndim
numpy_array
raw_data
save_output
shape
shape_2d
values

classmethod from_numpy(dataset: _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes], wavelengths: _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes], fs: float, speed_of_sound: float | None = None)

Create a PATimeSeries class from a NumPy array.

Parameters:

• dataset (np.ndarray) –

• wavelengths (np.ndarray) –

• fs (float) –

• speed_of_sound (float) –

Return type:

PATimeSeries