etho
etho.utils.sound¶
- etho.utils.sound.build_playlist(soundlist: List[array], duration: float, fs: float, shuffle=False, sound_order=None)[source]¶
Block-shuffle playlist and concatenate to duration.
- etho.utils.sound.make_pulse(pulseDur: float, pulsePau: float, pulseNumber: float, pulseDelay: float, samplingrate: float) array[source]¶
Make square pulse train.
- Parameters:
[ms] (pulseDelay)
[ms]
pulseNumber
[ms]
[Hz] (samplingrate)
- Returns:
np.array with stimulus waveform
- etho.utils.sound.make_sine(frequency: float, phase: float, duration: float, samplingrate: float) array[source]¶
Make sinusoidal from parameters.
- Parameters:
[Hz] (samplingrate)
[pi] (phase)
[ms] (duration)
[Hz]
- Returns:
np.array with stimulus waveform
- etho.utils.sound.normalize_table(table: DataFrame) DataFrame[source]¶
Make sure each cell in a row has one entry for stimFileName.
E.g. if two stimFileName but only one intensity, will duplicate the intensity entries.
- etho.utils.sound.parse_cell(cell, dtype: Callable = None) List[source]¶
Cast cell to desired type and wrap into list.
- etho.utils.sound.parse_pulse_parameters(playlist, sounds, fs)[source]¶
[summary]
- Parameters:
playlist ([type]) – [description]
sounds ([type]) – list of np.arrays, the length of which determines the trial period
fs (float) – sampling rate for translating nb_samples in sounds to seconds
- Returns:
[description]
- Return type:
[type]
- etho.utils.sound.parse_table(table: ~pandas.DataFrame | str, dtypes: ~typing.List[~typing.Callable] = [<class 'str'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'str'>], normalize: bool = True) DataFrame[source]¶
Parse table to desired types.
- Parameters:
string (table - either)
type (dtypes - types each col to cast to - methods which return the desired)
- Returns:
table (dataframe)