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<h1>favorites</h1> | ||
<div> | ||
top artists past 6 months | ||
{{ plot_artists.plot | safe}} | ||
</div> | ||
<br><br> | ||
<div> | ||
top songs past 6 months | ||
{{ plot_songs.plot | safe}} | ||
</div> |
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from django.contrib import admin | ||
from django.urls import include, path | ||
from . import views | ||
from .worker import search, submit | ||
from .worker import search, submit, plot | ||
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urlpatterns = [ | ||
path('', views.radio, name='radio'), | ||
path('current/', views.Http_current, name='current'), | ||
path('recents/', views.Http_recents, name='recents'), | ||
path('search/', search.Http_search, name='search'), | ||
path('submit/', submit.submit_suggestions , name='submit'), | ||
] | ||
] |
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from django.contrib import admin | ||
from django.urls import include, path | ||
from . import views | ||
from .worker import search, submit | ||
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urlpatterns = [ | ||
path('', views.radio, name='radio'), | ||
path('current/', views.Http_current, name='current'), | ||
path('recents/', views.Http_recents, name='recents'), | ||
path('search/', search.Http_search, name='search'), | ||
path('submit/', submit.submit_suggestions , name='submit'), | ||
path('play/', views.play, name='play'), | ||
] |
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from datetime import datetime, timedelta | ||
try: | ||
from .song_history import download_to_df, get_durations | ||
except: | ||
from song_history import download_to_df, get_durations | ||
import pandas as pd | ||
import plotly.offline as opy | ||
pd.options.plotting.backend = "plotly" | ||
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####### being used | ||
def to_html(figure): | ||
context = {} | ||
div = opy.plot(figure, auto_open=False, output_type='div') | ||
context['plot'] = div | ||
return context | ||
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def artist_duration(n=37): | ||
df, mdf = download_to_df() | ||
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durations = get_durations(df.id.unique()) | ||
df = df.merge(durations, on='id', how='left') | ||
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df_artist_track = df.groupby(['artist', 'id']) | ||
duration = df_artist_track['duration'].sum() | ||
count = df_artist_track['count'].sum() | ||
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total_time_artist = (count*duration).groupby('artist').sum() | ||
total_time_artist.sort_values(ascending=True, inplace=True) | ||
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top_artists_ms = total_time_artist.tail(n) | ||
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top_artists = top_artists_ms//(1000*60*60) | ||
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top_artists = pd.DataFrame(top_artists).reset_index() | ||
top_artists.columns=['artist', 'time'] | ||
top_artists.index = [f'Rank: {n-i}' for i in range(n)] | ||
print(top_artists) | ||
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figure = top_artists.plot.barh( | ||
x = 'time', | ||
y = 'artist', | ||
color='time', | ||
hover_name = top_artists.index, | ||
template='plotly_dark') | ||
figure.update(layout_showlegend=False) | ||
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return to_html(figure) | ||
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def song_plays(n=37): | ||
print('Downloading to df()...') | ||
df, mdf = download_to_df() | ||
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df.rename(columns={'name':'track'}, inplace=True) | ||
name_artist = df.groupby(['track', 'artist']) | ||
_counts = name_artist.size().reset_index(name='count') | ||
sorted_counts = _counts.sort_values('count', ascending=True) | ||
top_songs = sorted_counts.tail(n) | ||
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top_songs.index = ['Rank: '+str(n-i) for i in range(n)] | ||
print(top_songs) | ||
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figure = top_songs.plot.barh( | ||
y = 'track', | ||
x = 'count', | ||
custom_data = ['artist'], | ||
color='count', | ||
hover_name = top_songs.index, | ||
hover_data=['artist', 'track'], | ||
template='plotly_dark') | ||
figure.update_layout( | ||
showlegend=False | ||
) | ||
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return to_html(figure) | ||
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###################### | ||
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''' | ||
Checklist of things to do: | ||
X hours per artist | ||
X songs plays with color | ||
- genre plots? | ||
''' | ||
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if __name__=='__main__': | ||
# print('Downloading to df()...') | ||
# df, mdf = download_to_df() | ||
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# song_plays() | ||
artist_duration() | ||
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print('end') | ||
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