import pandas as pd
def get_features(df_in):
    features=[]
    labels = [] #empty array to store labels
    #For each species, determine how many augmentations are needed
    df_in=df_in.reset_index()
    for i in df_in.bird_id.unique():
           print('bird_id:',i)
           #all the file indices with the same bird_id
           filelist = df_in.loc[df_in.bird_id == i].index
    for j in range(0,len(filelist)):
            filename = df_in.iloc[filelist[j]].file_name
            print("full path: " + os.path.abspath(filename))
            #define the beginning time of the signal
            tstart = df_in.iloc[filelist[j]].t_min
            tend = df_in.iloc[filelist[j]].t_max #end of signal
            file_name = df_in.iloc[filelist[j]].file_name
            bird_id = i
            songtype_id = df_in.iloc[filelist[j]].songtype_id
            #Load the file
            signal, sr = librosa.load(filename,sr=28000)
            #cut the file to signal start and end
            signal_cut=signal[int(round(tstart*sr)):int(round(tend*sr))]
            #generate features & output numpy array
            data = generate_features(signal)
            features.append(data[np.newaxis,...])
            labels.append(bird_id)
            output=np.concatenate(features,axis=0)
            return(np.array(output), labels)
#use get_features to calculate and store the features
test_features, test_labels = get_features(pd.concat([X_test,y_test],axis=1))
train_features, train_labels = get_features_noOS(pd.concat([X_train,y_train],axis=1))




ERROR MESSAGE:



bird_id: 1
bird_id: 2
bird_id: 3
full path: /content/gdrive/My Drive/Personal/G12/Research/Audio files/PE (170).wav
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py in load(path, sr, mono, offset, duration, dtype, res_type)
    148     try:
--> 149         with sf.SoundFile(path) as sf_desc:
    150             sr_native = sf_desc.samplerate

8 frames
/usr/local/lib/python3.7/dist-packages/soundfile.py in __init__(self, file, mode, samplerate, channels, subtype, endian, format, closefd)
    628                                          format, subtype, endian)
--> 629         self._file = self._open(file, mode_int, closefd)
    630         if set(mode).issuperset('r+') and self.seekable():

/usr/local/lib/python3.7/dist-packages/soundfile.py in _open(self, file, mode_int, closefd)
   1183         _error_check(_snd.sf_error(file_ptr),
-> 1184                      "Error opening {0!r}: ".format(self.name))
   1185         if mode_int == _snd.SFM_WRITE:

/usr/local/lib/python3.7/dist-packages/soundfile.py in _error_check(err, prefix)
   1356         err_str = _snd.sf_error_number(err)
-> 1357         raise RuntimeError(prefix + _ffi.string(err_str).decode('utf-8', 'replace'))
   1358

RuntimeError: Error opening 'PE (170).wav': System error.

During handling of the above exception, another exception occurred:

FileNotFoundError                         Traceback (most recent call last)
<ipython-input-93-597fbf317426> in <module>()
     29             return(np.array(output), labels)
     30 #use get_features to calculate and store the features
---> 31 test_features, test_labels = get_features(pd.concat([X_test,y_test],axis=1))
     32 train_features, train_labels = get_features_noOS(pd.concat([X_train,y_train],axis=1))

<ipython-input-93-597fbf317426> in get_features(df_in)
     19             #TO FOLLOW songtype_id = df_in.iloc[filelist[j]].songtype_id
     20             #Load the file
---> 21             signal, sr = librosa.load(filename,sr=28000)
     22             #cut the file to signal start and end
     23             #TO FOLLOW y_cut=y[int(round(tstart*sr)):int(round(tend*sr))]

/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py in load(path, sr, mono, offset, duration, dtype, res_type)
    164         if isinstance(path, (str, pathlib.PurePath)):
    165             warnings.warn("PySoundFile failed. Trying audioread instead.")
--> 166             y, sr_native = __audioread_load(path, offset, duration, dtype)
    167         else:
    168             raise (exc)

/usr/local/lib/python3.7/dist-packages/librosa/core/audio.py in __audioread_load(path, offset, duration, dtype)
    188
    189     y = []
--> 190     with audioread.audio_open(path) as input_file:
    191         sr_native = input_file.samplerate
    192         n_channels = input_file.channels

/usr/local/lib/python3.7/dist-packages/audioread/__init__.py in audio_open(path, backends)
    109     for BackendClass in backends:
    110         try:
--> 111             return BackendClass(path)
    112         except DecodeError:
    113             pass

/usr/local/lib/python3.7/dist-packages/audioread/rawread.py in __init__(self, filename)
     60     """
     61     def __init__(self, filename):
---> 62         self._fh = open(filename, 'rb')
     63
     64         try:

FileNotFoundError: [Errno 2] No such file or directory: 'PE (170).wav'