| # https://github.com/plamere/spotipy/issues/194#issuecomment-315458391 | |
| # http://spotipy.readthedocs.io/en/latest/#client-credentials-flow | |
| import spotipy | |
| from spotipy.oauth2 import SpotifyClientCredentials | |
| client_credentials_manager = SpotifyClientCredentials(client_id='CLIENT_ID', client_secret='CLIENT_SECRET') | |
| sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager) |
| <html> | |
| <head> | |
| <script src="https://code.jquery.com/jquery-2.1.1.min.js"></script> | |
| <script src="js/face-api.min.js"></script> | |
| </head> | |
| <body> |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import matplotlib.dates as mdates | |
| from mpl_finance import candlestick_ohlc | |
| df = pd.read_csv('data.csv', parse_dates=True) | |
| start = "2016-01-01" | |
| end = "2016-03-31" |
The IPython Notebook has two different keyboard input modes. Edit mode allows you to type code/text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border.
| from pandas_datareader import data as pdr | |
| import fix_yahoo_finance as yf | |
| yf.pdr_override() | |
| data = pdr.get_data_yahoo("ADVANC.BK", start="2001-01-01", end="2018-05-16") |
| import pickle | |
| import broadlink | |
| import sys | |
| import os | |
| if len(sys.argv) != 3: | |
| sys.exit(0) | |
| type = sys.argv[1] | |
| command = sys.argv[2] |
| import pandas as pd | |
| import youtube_dl | |
| import os | |
| from youtube_dl.utils import DownloadError | |
| from concurrent.futures import ThreadPoolExecutor, wait, as_completed | |
| def download_youtube(youtube_id, idx): |
| #!/usr/bin/env python | |
| import base64 | |
| from Crypto import Random | |
| from Crypto.Cipher import AES | |
| BS = 16 | |
| pad = lambda s: s + (BS - len(s) % BS) * chr(BS - len(s) % BS) | |
| unpad = lambda s : s[0:-ord(s[-1])] |
| # Ref: https://www.kaggle.com/danbrice/keras-plot-history-full-report-and-grid-search | |
| def plot_history(history): | |
| loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' not in s] | |
| val_loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' in s] | |
| acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' not in s] | |
| val_acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' in s] | |
| if len(loss_list) == 0: | |
| print('Loss is missing in history') | |
| return |
| Model: lite_model_v1.h5 (Dense 100) | |
| f1score: 0.979600348056747 | |
| precision: 0.9749029122509861 | |
| recall: 0.9843432709344426 | |
| Model: lite_model_v1_1.h5 (Dense 100) | |
| f1score: 0.9807887916860532 | |
| precision: 0.9759241434331015 | |
| recall: 0.9857021801093907 |
