etho.utils.sound#
- etho.utils.sound.build_playlist(soundlist: List[numpy.array], duration: float, fs: float, shuffle=True, 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) numpy.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) numpy.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: pandas.core.frame.DataFrame) pandas.core.frame.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: Optional[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: typing.Union[pandas.core.frame.DataFrame, str], dtypes: typing.List[typing.Callable] = [<class 'str'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'float'>, <class 'str'>], normalize: bool = True) pandas.core.frame.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)