mirror of
https://github.com/Xevion/spotify-explicit.git
synced 2025-12-06 15:16:38 -06:00
92 lines
3.0 KiB
Python
92 lines
3.0 KiB
Python
import os
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import sys
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import json
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import logging
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import collections
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import numpy as np
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import dateutil.parser
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import PIL.Image as Image
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import matplotlib.pyplot as plt
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# Gets all files in tracks folder, returns them in parsed JSON
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def get_files():
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folder = os.path.join(sys.path[0], 'tracks')
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files = []
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print(os.listdir(folder))
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for file in os.listdir(folder):
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with open(os.path.join(os.path.join(folder, file))) as file:
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files.append(
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json.load(file)
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)
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return files
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# Simple function to combine a bunch of items from different files
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def combine_files(files):
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items = []
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for file in files:
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items.extend(file['items'])
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return items
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# Prints the data in a interesting format
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def print_data(data):
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for i, item in enumerate(data):
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date = dateutil.parser.parse(item['added_at'])
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explicit = '!' if item['track']['explicit'] else ' '
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track_name = item['track']['name']
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artists = ' & '.join(artist['name'] for artist in item['track']['artists'])
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print('[{}] {} "{}" by {}'.format(date, explicit, track_name, artists))
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def process_data(data):
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# Process the data by Month/Year, then by Safe/Explicit
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scores = {}
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for item in data:
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date = dateutil.parser.parse(item['added_at']).strftime('%b %Y')
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if date not in scores.keys():
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scores[date] = [0, 0]
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scores[date][1 if item['track']['explicit'] else 0] += 1
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# Create simplified arrays for each piece of data
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months = list(scores.keys())[::-1]
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safe, explicit = [], []
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for item in list(scores.values())[::-1]:
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safe.append(item[0])
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explicit.append(item[1])
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# Done processing date properly, start plotting work
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n = len(scores.values())
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ind = np.arange(n)
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width = 0.55
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p1 = plt.bar(ind, explicit, width)
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p2 = plt.bar(ind, safe, width, bottom=explicit) # bottom= just has the bar sit on top of the explicit
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plt.title('Song by Safe/Explicit')
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plt.ylabel('Song Count')
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plt.xlabel('Month')
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plt.xticks(ind, months, rotation=270) # Rotation 90 will have the
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plt.legend((p1[0], p2[0]), ('Explicit', 'Safe'))
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# plt.show()
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copy(months, safe, explicit)
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# Simple method for exporting data to a table like format
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# Will paste into Excel very easily
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def copy(months, safe, explicit):
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from pyperclip import copy
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top = 'period\tsafe\texplicit\n'
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copy(top + '\n'.join([
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f'{item[0]}\t{item[1]}\t{item[2]}' for item in zip(months, safe, explicit)
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]))
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def main():
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logging.basicConfig(level=logging.INFO)
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logging.info("Reading track files")
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files = get_files()
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logging.info(f"Read and parse {len(files)} track files")
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logging.info("Combining into single track file for ease of access")
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data = combine_files(files)
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data.sort(key=lambda item : dateutil.parser.parse(item['added_at']).timestamp(), reverse=True)
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logging.info(f'File combined with {len(data)} items')
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logging.info('Processing file...')
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process_data(data)
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main() |