view scripts/output_metadata.py @ 96:1d9c96974c3e branch-tests

merged

import numpy as np
import pandas as pd
import pickle 
import os

%load_ext autoreload
%autoreload 2

import sys
sys.path.append('../')
import scripts.outliers as outliers
import scripts.utils as utils

DATA_FILE = '../data/lda_data_melodia_8_30sec.pickle'
METADATA_FILE = '/Users/mariapanteli/Documents/QMUL/Code/MyPythonCode/MergeBL-Smith/data/metadata_BLSM_language_all.csv'
#METADATA_FILE = '../data/metadata.csv'

dataset, ddf, w_dict = outliers.load_data(DATA_FILE, METADATA_FILE)

# correct BL urls:
bl_inds = np.where(np.isnan(ddf['BuyLinkTrackDownload']))[0]
for bl_ind in bl_inds:
    ddf['songurls_Album'].iloc[bl_ind] = ('https://sounds.bl.uk/World-and-traditional-music/' + 
                                        ddf['Folder'].iloc[bl_ind] + '/' + 
                                        ddf['MetaFile'].iloc[bl_ind].split('.')[0])

X_list, Y, Yaudio = dataset
X = np.concatenate(X_list, axis=1)

cols_to_keep = ['Country', 'continent', 'REGION', 'LocDetails',
                'Language', 'Language_iso3', 'Culture', 'Genre_Album', 'Year', 'Decade', 
                 'songurls_Album', 'Speech', 'Melspec', 'Chroma', 'Melodia']
cols_rename = ['Country', 'Continent', 'Region', 'Location_details', 
               'Language', 'Language_iso3', 'Culture', 'Genre', 'Year', 'Decade',
                'Url', 'Speech', 'Melspec', 'Chroma', 'Melodia']
col_idx = []
for column in cols_to_keep:
    if column not in ddf.columns:
        print column
    col_idx.append(np.where(ddf.columns==column)[0])
col_idx = np.concatenate(col_idx)
ddf_new = ddf.iloc[:, col_idx]
ddf_new.columns = cols_rename

for i, yy in enumerate(ddf_new['Audio']):
    new_name = os.path.split(os.path.split(yy)[0])[-1] + '_' + os.path.split(yy)[-1]
    new_csv_name = new_name.split('.')[0]+'.csv'
    ddf_new['Audio'].iloc[i] = os.path.join('Audio', new_name)
    ddf_new['Chroma'].iloc[i] = os.path.join('Chroma', new_csv_name)
    ddf_new['Melspec'].iloc[i] = os.path.join('Melspec', new_csv_name)
    ddf_new['Melodia'].iloc[i] = os.path.join('Melodia', new_csv_name)
    ddf_new['Speech'].iloc[i] = os.path.join('Speech', new_csv_name)
    Yaudio[i] = new_name

ddf_new.to_csv('../data/metadata.csv', index=False)
pickle.dump([X_list, Y, Yaudio], open('../data/lda_data_8.pickle', 'wb'))