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import MySQLdb
import netrc
import pandas
import lastfmDb as lf
import datetime
from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
login = netrc.netrc().authenticators('lastfm.mysql')
if not login:
raise netrc.NetrcParseError('No authenticators for lastfm.mysql')
mysql = MySQLdb.connect(user=login[0],passwd=login[2],db=login[1], charset='utf8')
cursor = mysql.cursor()
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today = datetime.datetime.now()
print today.strftime('Generated on the %d %b %Y at %H:%M:%S')
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df = lf.retrieve_play_count_by_month_as_dataframe(cursor)
df.head()
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nbDays = '7'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = '30'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = '90'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = '120'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = '180'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = '365'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df
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nbDays = 'null'
df = lf.retrieve_top_artists_as_dataframe(cursor, nbDays, 20)
top10 = df.head(10)
iplot(lf.create_figure(top10.Artist, top10.Artist, top10.PlayCount, 'artists', nbDays))
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df