def __init__(self,file_path,transpose='No',freqref=300):
"""Create the melodia object.
Args:
A path to a list of frequencies (f0) in a .txt file.
Attributes:
All attributes from music22.core.f0file.
clean_freqs (numpy.ndarray): The list of frequencies without Zeros neither NaNs.
pdf (numpy.ndarray): The Probability Density Function on the range 0-500 Hz.
xpeaks, xpeaks (numpy.ndarray): the Peaks of the PDF and their values.
ordredpeaks (pandas.core.frame.DataFrame): The Peaks ordered by their probability.
dominante (numpy.float64): the dominant frequency.
intervals (pandas.core.series.Series): the list of intervals in the choosen Unit (default is `savarts`).
scale (list): the Scale from the Dominant, compared to reference epimoric intervals.
pdf_show (matplotlibfigure): the PDF plot with peaks.
Example:
>>> import music22.modalis
>>> file = '/Users/anas/AUDIO/Barraq/P1.wav'
>>> Barraq = music22.modalis.melodia(file)
Instance created with the txt file : P1.wav
Instance created with the txt file : P1.txt
The detected tonic is 167.696 Hz.
>>> Barraq.file.basename
'P1.txt'
>>> Barraq.freqs
array([ nan, nan, nan, ..., nan, nan, nan])
>>> Barraq.clean_freqs
array([ 155.564, 157.372, 160.123, ..., 159.201, 158.284, 156.466])
>>> Barraq.tonique
167.696
>>> Barraq.pdf
array([ 1.55304474e-33, 5.65209492e-33, 2.03065388e-32,
7.20217980e-32, 2.52170476e-31, 8.71620406e-31,
[...]
8.53621504e-26, 2.80105445e-26, 9.07308675e-27,
2.90111852e-27, 9.15698236e-28])
>>> Barraq.pdf_show
<bound method melodia.pdf_show of <music22.modalis.melodia object at 0x102a32910>>
>>> Barraq.ordredpeaks
xpeaks ypeaks
1 243.486974 0.012244
0 201.402806 0.007772
3 324.649299 0.003007
2 278.557114 0.002709
4 375.751503 0.000785
"""
file = core.file(file_path)
if file.extension == 'wav':
self.file = core.wavfile(file_path)
txt_file = self.file.dirname+'/f0/'+self.file.name+'.txt'
if not os.path.isfile(txt_file):
self.file.pitch_extract()
self.file = core.f0file(txt_file)
elif file.extension == 'txt':
self.file = core.f0file(file_path)
self.name = self.file.name
self.file.get_data()
self.file.clean_data()
if transpose=="No":
self.freqs = self.file.data
self.clean_freqs = self.file.clean_data
if transpose=="Yes":
self.freqs = transmode(self.file.data,freqref)
self.clean_freqs = transmode(self.file.clean_data,freqref)
self.xmin = numpy.min(self.clean_freqs)
self.xmax = numpy.max(self.clean_freqs)
self.mode = mode(self.clean_freqs)[0]
self.get_tonique()
self.pdf = scale.kde(self.clean_freqs)
self.xpeaks, self.ypeaks = scale.peaks(self.pdf)
self.ordredpeaks = scale.order_peaks(self.xpeaks,self.ypeaks)
self.dominante = self.ordredpeaks['xpeaks'].iloc[0]
self.get_scale()
def pdf_show(self):
"""Show the pdf."""
self.pdf = scale.kde(self.clean_freqs)
scale.pdf_show(self.pdf,self.xpeaks,self.ypeaks,label=self.name)