dolfyn.ADPdata¶
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class dolfyn.ADPdata(*args, **kwargs)[source]¶
- The acoustic Doppler profiler (ADP) data type. - See also - 
__init__(self, \*args, \*\*kwargs)¶
- Initialize self. See help(type(self)) for accurate signature. 
 - Methods - __init__(self, \*args, \*\*kwargs)- Initialize self. - append(self, other)- Join two data objects together. - clear()- copy(self)- Create a copy of the data object. - fromkeys(iterable[, value])- Create a new dictionary with keys from iterable and values set to value. - get(self, key[, default])- Return the value for key if key is in the dictionary, else default. - items()- iter_data(self[, include_hidden])- Generate the keys for all data items in this data object, including walking through sub-data objects. - iter_subgroups(self[, include_hidden])- Generate the keys for all sub-groups in this data object, including walking through sub-groups. - keys()- pop(self, indx[, d])- If key is not found, d is returned if given, otherwise KeyError is raised - popitem()- 2-tuple; but raise KeyError if D is empty. - rotate2(self, out_frame[, inplace])- Rotate the data object into a new coordinate system. - set_declination(self, declination)- Set the declination of the data object. - set_inst2head_rotmat(self, rotmat)- setdefault(self, key[, default])- Insert key with a value of default if key is not in the dictionary. - to_hdf5(self, buf[, chunks, compression])- Write the data in this object to an hdf5 file. - update()- If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] - values()- Attributes - The horizontal shear-squared. - U- Horizontal velocity as a complex quantity. - U_angle- Angle of horizontal velocity vector (radians clockwise from east/X/streamwise). - U_mag- Horizontal velocity magnitude. - diff_style- The shear in the first velocity component. - The shear in the second velocity component. - The shear in the third velocity component. - n_time- The number of timesteps in the data object. - range_diff- shape- The shape of ‘scalar’ data in this data object. - shortcuts- subset- Subset is an indexer for creating subsets of the data object using Python slice syntax. - u- The first velocity component. - v- The second velocity component. - w- The third velocity component. 
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