From 18e687a41f474f04d09a8ab4556e4dd499a2cef7 Mon Sep 17 00:00:00 2001 From: pmhalvor Date: Wed, 17 Feb 2021 11:28:51 +0000 Subject: [PATCH 1/4] working artist plot on page --- phsite/__pycache__/settings.cpython-38.pyc | Bin 2740 -> 2740 bytes phsite/__pycache__/urls.cpython-38.pyc | Bin 1191 -> 1252 bytes phsite/urls.py | 8 +- radio/__pycache__/urls.cpython-38.pyc | Bin 566 -> 581 bytes radio/__pycache__/views.cpython-38.pyc | Bin 2529 -> 2751 bytes radio/templates/includes/plots.html | 3 + radio/templates/radio/index.html | 4 + radio/urls.py | 4 +- radio/views.py | 24 +++++- .../__pycache__/authorize.cpython-38.pyc | Bin 2880 -> 2984 bytes radio/worker/__pycache__/plot.cpython-38.pyc | Bin 0 -> 1545 bytes radio/worker/plot.py | 73 ++++++++++++++++++ requirements.txt | 1 + 13 files changed, 111 insertions(+), 6 deletions(-) create mode 100644 radio/templates/includes/plots.html create mode 100644 radio/worker/__pycache__/plot.cpython-38.pyc create mode 100644 radio/worker/plot.py diff --git a/phsite/__pycache__/settings.cpython-38.pyc b/phsite/__pycache__/settings.cpython-38.pyc index c4821189723e5a6e3251d4dcbf97122635dea87f..05cd2a6501ef1bf778689535fde2b7eb863eec80 100644 GIT binary patch delta 20 acmdlYx`Us5F+S6q@ghd73KIzu@?X`o9= nQj7A6S27fd0yP$iPL5=!ymegNJ delta 338 zcmaFDxtvowl$V!_0SK0?=Sa|DVPJR+;vfSyAjbiSi+d(&TZg5xrm&?lWpQP3H!}g* z?5Qj%9LO~G62@$o>h`1q*FPnd1%qr_9P67$mY^^)`R z()3D;a*FkeOA<>mlZ!wuy~R?TS(18-1tflp8%P!;mXxFx.*)$', serve,{'document_root': settings.MEDIA_ROOT}), + path(r'^static/(?P.*)$', serve,{'document_root': settings.STATIC_ROOT}), ] -urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) -urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) \ No newline at end of file + +# urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) +# urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) \ No newline at end of file diff --git a/radio/__pycache__/urls.cpython-38.pyc b/radio/__pycache__/urls.cpython-38.pyc index 27ef014535f0113a2d9bbe7198ed2cc1fc31b83d..6b5a6a609927d5b77fba533ab13d70491ec2356f 100644 GIT binary patch delta 183 zcmdnSa+HNPl$V!_0SFpj=_IU~$Scd(HBs9#AeSqOi;*FfC50`OEsHyaJ%yu}8OY-V z@_16Xpge9Mk2i$}%HvJt$l^=kgYx)OIkWgv1VFrW)+m9A8%)HQZ?P4pCKe@U0O``C z+{}_&ECo6F6TgHp3QqQB)MezFT*)ZS#tC#w5%=V&i~(#yAg0jd*NpZ&BFub@Q1}}F DUS=&H delta 190 zcmX@gvW!b8urbZ6- zreAV{C7g_#wX#HG8cRAkH*e(?r%u5wTBQ?Sb}QB}@FAA^s96_Snq|ONS(fF%USxSz z06W5ptOT~k%B%u*l+kBeeR%JnTdR|Zc6iwAI(`T|wZz@7(+c@>n{UVlStdF8ftcwG zbQtK^ClLktg^ZE~`JK#EcC~H7;`3S<+twJ}Cc7~ZPRNozwG$brxs?+wX8Sj6kMT`& zEp(l_A)!||%FtN4JqB)Z8DRq93c^){YY6}TN%b`$4~;oe*`FP_Pli;@2xivg*5H%b zOF$1vLlnVAy3NEm#t1-tKxs$GmI&=2Z1#jBFk4K^qrpdyCy`!9m;$hj!1p@hmWm@_ zrWHqL6GT;$H_?BtKOEko{1ksc%JMBO$)E8TchoF#F6WY?)M6NRo9&(u+zWeR(R%9^M>6`xQs$+ZHil360-|buZlW0e@x@%2;Wj(NxXSm++ zMFCV``>z1i4Ajkf)ceClH#bO&P|%)Yu}5AQTitFSeIZO=D)Gku+Q0ZXifK z>CsD=gMUc>fc^(P3B`a1?;bpR(f6hxZNVM(^JeG0_uZNA9M1fRf-T>7EqcB+tetLg z9L&S#@y+eK1?7ISnt>`Rk77yrDxesuk_su7Ras3_oK}&lP>hs(Vbx~FKlk(qwjj_) zQ1^?ZnhMqi40S;)KttaUE8f1PoPGG1qYkOxiRGR5A+}X7x!oJ6cvOFz?e=RqjHnMQ z43?+~^eIf7PBO^iQHB9$3`)G7HwyfndIU?@AVE&K-~!Gb{1L|hWqoXKu3n@hRvDKV zi;N}4WyV=m^ZTlPnZE~>gD?5}P&7RkxN=T^pL*7qr|ECFg=LBp(NnmY$>0svO`gG(O@|j-B)Z5;D~xmdV~;lUFXs_N zdQ~QOj9q;GbA=P{NtW%kIzz;GkiDjYlY0@kroYPP8>~YPv(YEM|6c>+4oRfle;R=6 z++ES#!iRQ)6+*@=!|aE}agD)+r*>uzV{T7A*iF>1A3tR0Qufya9-(=qEpsxI*JV}O Fe*v6dfAjzV diff --git a/radio/templates/includes/plots.html b/radio/templates/includes/plots.html new file mode 100644 index 0000000..27fedba --- /dev/null +++ b/radio/templates/includes/plots.html @@ -0,0 +1,3 @@ +
+ {{ plot.plot | safe}} +
\ No newline at end of file diff --git a/radio/templates/radio/index.html b/radio/templates/radio/index.html index bd5d904..a97feb0 100644 --- a/radio/templates/radio/index.html +++ b/radio/templates/radio/index.html @@ -76,6 +76,10 @@

recently played

+ +

New space

+ {% include "includes/plots.html" %} +
diff --git a/radio/urls.py b/radio/urls.py index 8a30496..f2037a1 100644 --- a/radio/urls.py +++ b/radio/urls.py @@ -1,7 +1,7 @@ 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 urlpatterns = [ path('', views.radio, name='radio'), @@ -9,4 +9,4 @@ path('recents/', views.Http_recents, name='recents'), path('search/', search.Http_search, name='search'), path('submit/', submit.submit_suggestions , name='submit'), -] \ No newline at end of file +] diff --git a/radio/views.py b/radio/views.py index d9851dc..4658e56 100644 --- a/radio/views.py +++ b/radio/views.py @@ -5,8 +5,11 @@ from .worker.authorize import get_token from datetime import datetime, timedelta import json - - +# for plotting +from .worker.plot import get_plot +from django.views.generic.base import TemplateView +import plotly.offline as opy +import plotly.graph_objs as go def index(request): return HttpResponse("Welcome to Per's Radio!") @@ -23,6 +26,7 @@ def radio(request): # """ context['recents'] = recents() context['current'] = current() + context['plot'] = get_plot() return render(request, 'radio/index.html', context) @@ -95,9 +99,25 @@ def recents(): return content +# def plot(): +# context = {} + +# x = [-2,0,4,6,7] +# y = [q**2-q+3 for q in x] +# trace1 = go.Scatter(x=x, y=y, marker={'color': 'red', 'symbol': 104, 'size': 10}, +# mode="lines", name='1st Trace') + +# data=go.Data([trace1]) +# layout=go.Layout(title="Meine Daten", xaxis={'title':'x1'}, yaxis={'title':'x2'}) +# figure=go.Figure(data=data,layout=layout) +# div = opy.plot(figure, auto_open=False, output_type='div') +# context['plot'] = div +# return context + def Http_current(request): # needs to be json to get progress and duration varaibles return HttpResponse(json.dumps(current()), content_type="application/json") def Http_recents(request): return render(None, 'includes/recents.html', {'recents': recents()}) + diff --git a/radio/worker/__pycache__/authorize.cpython-38.pyc b/radio/worker/__pycache__/authorize.cpython-38.pyc index ed6aa003d5efc8dfe321033e216f9905c2dadef7..ad7c83e398c91d61384d42399d603f0e89f020e7 100644 GIT binary patch delta 763 zcmZ8f&ubGw6rMLbn{1|b+XR}_wjhPHHm&J;5r3f;>P3Vi6j9T|vSg>p(#>v|ohX(B zk$4jA>Z`k>|nUqKqTJ}*IwFwSrq-;JMarWe`OwiyjT1x=EU@n3;~Eww@IyXT!K}4 zqwcihj&Qo2wiiB)rIQ3oIMVZj*m)MqJs};hr`oX$_QiVlc~)o%<*Im3L_B?ClwZIZ z3nua$VpF?lU{J(|Aq=1oBRC=h+NUFmPa_}$wr?wA#QMe&4A>(Qtpd@rkKXo(e4xxx z&c_@Ol}F8}pzi^DLL&N@^clKmTfe5(o8D}*E$aWhpJ)Ro+EL9)e;S+f8B;+=WM&cy z(Uq1?n3>s(dyz_SvrBgxycxzl-}OD^$#a-K4U?Mbw-*pe83O@JPs)IT4LRf-N;ExS zJyTXNopSRs)Q@kPn4d{+<+sjXKz00=`uwgQzt1ng{1Va~M53z_V89FpvwxT&m(nlR z{jf&2Bpx!U5L6j&jYKqKAl$0~5XQtolbQ4)Z-k9ih!`SoP-5?Y-Dyyi;IUUAY zT0w0Wk?7tCw!pCwxso0fUT<7SMPAck>?2*FgGluK(oX-?%q-XKctPa4HIRD8(`~-E zTt|}S!?@K7qE<$O_|z+n6S<5j>F7{N-||Jcl78aV3B3(c+mfa92ftf1?9z16=62Pd Ju=2KP!C#L$*E8OOxI3X48VC zNQpO3Wlo}p^rq+B^y2T>g9p8f;1AH5q=IjF-@JMA_}({fJ~qEDws$KP6G^-L^tZom zBlJTZ{x?k??n&q0Puj<2R*MQBa8!!SH}vH5!`e5t#HwR7#u!Cp2f2&W2EIl%?r&~* zyPN^{1`N7^x5fB=mJYlyjhOd@z2I@iyu-5{f+$YC!xZ)zc;dO%d~Km!*^NQJ z8}trRaP_>=VVVCj?lImCfcarB7I)|xaWyff*RMiZa?hcnBBkn*^tn82%$E2`hlQMG zai58pi`jbM%B#HCOFNx7>Et9% z=R!!zK@A_;3YKO?EIEiFO>#}n71S4jA_iT-x^OJVQUd^`4yt0u+Nx3eoL#g{+p#U9 IXzK?43qbCXe*gdg diff --git a/radio/worker/__pycache__/plot.cpython-38.pyc b/radio/worker/__pycache__/plot.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2dd73d37b9830cb747532628ca52f2e82e8c391c GIT binary patch literal 1545 zcmZ8hPj4eN6t_Jy$z+5z;V?J;|gqdF<^;yiCx~NL04MRGeh*cD4rT?oPRK2JOV%Fv zZ0q|gkCPSs9paV0^Ku3^^2WB6DN|@;{W_}zoZr35%7sWLa#0%{2bS^N(%SlZCa-P# zezHyiE$gZNgQy-H`_GfnOjcslRI{wSl4_(2BStFYg&bW=bt%*cF`P9^>lxW}@VYH9 zgm!7Sr~2Sc7{=RzxDcnqm4jo*Ed@+$#pY~9KR|RIr;p zUR;5MJJ|yCDH~DSJ-IN=!lY)|2z_dX|K%N-Jb`XQZpg1}4R{P7;`D~CnE}zQ;WCb&Xs&QFC{b5F+Quj>h7#I(Vnv0jV<=&@`sT0rRGlNC_ zs%W0V2HL$Ss*sqNDa3mYi!lB1u~Vq>z_(qzdpd(JK&qwV!?v2N=9#vv;kI}G`<%%< zFN<2(_SR9K;NrvW=u~CRER`2?ZKDT1n@U*Fm_pXthB((0_0+a6vdN{W`90^TP)EFD o#ohM-D*RuR(|h>5l6+B$Z;>l~45kkf5AhG7krxf3C=A2sKhgAL9RL6T literal 0 HcmV?d00001 diff --git a/radio/worker/plot.py b/radio/worker/plot.py new file mode 100644 index 0000000..9cc8a94 --- /dev/null +++ b/radio/worker/plot.py @@ -0,0 +1,73 @@ +from datetime import datetime, timedelta +try: + from .song_history import download_to_df +except: + from song_history import download_to_df +import pandas as pd +import plotly.offline as opy +pd.options.plotting.backend = "plotly" + +####### being used +def top(df, n=25, show=False): + artists = df['artist'].value_counts() + songs = df['name'].value_counts() + return artists[:n], songs[:n] + +def past_months(df, number_of_months=1): + then_dt = datetime.now() + prior = then_dt.month - number_of_months + if prior < 1: + prior += 12 + then_dt = then_dt.replace(year = then_dt.year-1) + then_dt = then_dt.replace(month = prior) + then = then_dt.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3]+'Z' + return df[df['played_at']>then] + +def to_html(figures): + context = {} + div = opy.plot(figure, auto_open=False, output_type='div') + context['plot'] = div + return context + +def get_plot(): + df, mdf = download_to_df() + + past_6_months = past_months(df, 6) + + top_25_artists, top_25_songs = top(past_6_months) + + fig_artist = top_25_artists.plot.barh() + fig_song = top_25_songs.plot.barh() + figure = [fig_artist, fig_song] + + return to_html(fig_artist) + +###################### + +# def unzip(df): +# return df.index, df.values + +# def plot(df): +# context = {} +# figure = df.plot.barh() +# div = opy.plot(figure, auto_open=False, output_type='div') +# context['plot'] = div +# return context + + +''' +Checklist of things to do: + + - hours per artist + - songs as color variables + - genre plots? + +''' + +if __name__=='__main__': + df, mdf = download_to_df() + + print(df.tail(7)) + + + diff --git a/requirements.txt b/requirements.txt index ee27e2f..735dac7 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,3 +8,4 @@ django-mathfilters Pillow pandas azure-storage-file-share +plotly \ No newline at end of file From 251d93b43bcf23724219d9507bdf395eea9c69bd Mon Sep 17 00:00:00 2001 From: pmhalvor Date: Wed, 17 Feb 2021 17:39:16 +0000 Subject: [PATCH 2/4] get_duration complete --- .../__pycache__/song_history.cpython-38.pyc | Bin 2873 -> 4745 bytes radio/worker/plot.py | 22 +- radio/worker/song_history.py | 113 +- radio/worker/store/duration_df.pkl | Bin 0 -> 210611 bytes radio/worker/store/durations.csv | 5117 +++++++++++++++++ 5 files changed, 5240 insertions(+), 12 deletions(-) create mode 100644 radio/worker/store/duration_df.pkl create mode 100644 radio/worker/store/durations.csv diff --git a/radio/worker/__pycache__/song_history.cpython-38.pyc b/radio/worker/__pycache__/song_history.cpython-38.pyc index 81178f5053dfd2ba8f2e92db4ba0b71281b1c50d..6f4146cbf4e1c66200b1615d13bbdbbf7657a76c 100644 GIT binary patch literal 4745 zcma)A&2QYs6(4>s_d~lYc`Zw};?QWCX4_aw(xeSsH?0#VO#oLlEGKq|78{B)k|=S> z^>Eg<7TjFq-fF=2#K0QpCFl0sLr?u1c!hi=XA^82dX_zJ0l<{1SJ5-e7Ff`^z z6yE+4cfK^Z%WDtp;1oZ1(&F*@11IS5wUd?xZ=&Tie?ctkZ(4i-^)vjuSkd)1@1VZQ zU!2#wd=d4t+~+-h`hgLgIX1M`s~&x-R$w0e7s^)Ean z%k|B&zAMx~Wd|ZHd-S>!CnDbqr5Hp>EK>Cpwq$*y^mwR*iicto6;}#1mT5#XjxPr< zHtzRu=a*3^*#F3wvVzTwCv0jI#>~XiRMyNc%qPawQqIgREWFu;t!jnM%~f_}?3mEc z+MG1^;#_6&a6QWJmi18*9tu7PRo{~qqz4N;yO$+*xHam)CjYi8*x&qp%N{ z{KvcxJ2b_f>2XbrZ9O+0yI8nIt#J6lm-f^v%>7#7ad_@Sb81eOl{c&NZsC2w_~K*i zypGD{N^jk_L~T_(-nph*P8AMD_X->3>BkQB-?>(hk1S8V*YI(v!%-ZCiNBxasSh^| z{hdq>Lv=~_Zo(6|tigVz8%hPAD(y5Jim!~a7G=qJnC7K}og3nzWEdTMZM<5tvQ~}F zrS^YY3y_PDBA2K*h2kbewBp?~L$Jgt7xyQNo8q1iCzOYN$hqK`{L)yTy!~A3tN!*_ z`EeR0V=i*M+zpeM`w^lpjFgaQ@kzt=iL(U<@+VEd@_s*5{-o!J2|4niFU2laBc$N# z{YKe{^Ek~_m`0+sc^qMx`|v+WIkT)^g;_q35LzM%?h2U;Ue=_5Tnu-^(MY6dNV45s z#7k+%=}y+KLk>PG-2|bZtDu>RdjncsEb_o6->$4ewg_t4*I{WgPf$M|dZF$KO+>616mUejd2DV%)|Ami-U zxkIpJFhB~vxy(LyF}_CQ0e5fOOf?P~@(%`^)*xXSeIE7E422Ep&Mo#9JaSt5ymosI zD(Gt#=-nj(0@|_P0zlF{jfa-5FYu?@egYN>@%=&`#2O^B#U? zW)>~1eu1wP3-HjkIP4ey^Hq50Y0!zzE}M3X4nMofKoNS=#iBb~E*AN@RYm~( z$hh;@f~?aiT9=t}0s64Q>kBqtw>?{-{l)&c`~__ZBBJLvONVHl zm~{A9>O6q7x;{EcG}=zqu4UN)Fo`hTkHTnAfbY%+<~NZaYjLVkY;yX8Y@BjG$%qS_ z44J&VnW;Szpl6x)Cx`3)dts7L`<3e-t*@__&Q2_I)i(qCK!}kf0MQ6hIuYb5*+awR z`ex?qD#~OyPJNa6TxO$nO*MR6H^eZzD|}3uL)|3tv((2l!hik8ZxFC+nEZwkO3J;H zMIS)p$2=!_SYmV_e@5*~w_-@x7QVPIqOl@vCoNJ~i+&~VPcHnAETY*={!Pk|E09@Q zm_`ym2cQt$$%E#xu?E9@(%iyk&_u*FysdE*i9Em1UoFinFYQsN_P{H$IK_b=mIJD5 zh9NJIY-fZ|k(xEp1}Qs8guF;op(RJc)lgQ}-@hM;5oP?+MS6}x6?Djm13n%lU~(WE zfeUJ$q#;gV=)ievzT>5ph_u21M~3OHcrL$b01s@ULO~rUSn1GTl9Z0B)b|V0#~NWB z^<$}d(9vE41u75B16XNL8X~A|hYA~#e=B1eaZuN-16VR}w&@{%PV#?1qUU`OCC^YJ z9TloV^PdF*o|AcY(V2gSf*D=QHcV#z%e6hwn+AZW1sX)Oi0IIo)y9)3P!~OIt82DF zgj~FLjjjpEvIw+5jm!p!Q_r-`7HSQ11>b2XyN)@Yp-bd=l(-|@`43UhsRHLUz<&H;Zi@rIjxb;mC-HJq##|#hsZ4g);Z1-Zd2VWnGdF%nJ zl2BHJ96)V@aLdw-bL_W3gzbg!C_BZu4V@l!hTHHRQY&cW*;qz`8t2BP*XQl(=q>pZ zEk?63+k*||C#cf`Pp)T9slPDp$1AQYmk;DXXl>I)v zzf1*@n+jBkibx`FrLDp^(M%WYM+3M1_D3{;1b}seT73sYwJ`Z#FklYbpx3l`sU5PAJoG+I}??1T*#}?yh@|qr%`nLPILmn^!nsI2e~HHgN`1{u+fS> ci+hNmmffu{^_Sdkv)k%=jcZ=B-Dnv92GB);_5c6? delta 1402 zcmZuw&2Jl35P$FOr@z;Z?ZknW^gzI(qCiX3sufWJ6d{!~B~&Vw&}!@Vl5T46CbMe_ z(ON#V7oTr&Gyk|JY7eTfis$UXX@AmEC22h3(v;RcqgPh;ZY9@kS-7Y7shz7>Lh;KhCz{B5l(4-_nA#=sx?@zHzu2wg4HMli^%TgsCPqRia$z#B$g z9R$)DhfLd1ai;G^VURA_&2rD&T>E_Ov#qBLn(3ifSuP>(g6gXvj!GC4l@S=%xryI0 zw>h*?Pk-Qltw0l{DYQ_^sxrJ23_?%3ap=lzVvnP3jI((W-*7TL66+JT#cr@z+tnqP zLTXaq(WP<7$0A|ha}cqSFllz!UH%dK>X)&WXi{|8SjS(h!=&C}k4=elcp}C|!V~>A zgFlZsj(+B`Ttwf}jK7uWiMgCui6P66^s$|YT`RF=MOF{RSRAxt`*A_m68j;OPWqeH zx?F$4Is1|Y;s)EllCzD(Kz1(C5t~05#P4581Wv29kqKYIJaxnLAoe5db>IzEH{I0V zo+mrJMzBP13gL^VyqEr{KeWIh(_(twxPCR$aXdSDn%pU~NOv(a#q|n-y5r(};M>^= z6lt#0?w>%<=o|v$>F>r_zLGlTC!24g-W8bNKTvRHs+j%gYaCb4q_lE-HfO0H4sZH_ zLMr+YBO()l;V5+u7t){2{w4aWo<&)r7-qu@a+?Z5_EQSZFO3V_Bop6oF}-ZvpMZrF z*a%$#v~)mAcl3-5M!vaFC2I{KD@Cyvk0Q4p;)YYxaJlQmHVEd(#p;JaObwb@(0sT1 zBLL*Cp<_hhj5{xuyNXX`3s_CxcMd0%6U(8qg0m#s@D9oE63{i}hX5y0%8Whm0~~ei z`2$!%3znVNlt-T@XG+ntqP;NwpB`&43S4wJK9?f4CS9#tr`FMy*{(bE{J?d)e4{Hi zre75CGoS9&UzsdW{(OC?z#iUwAiW3{^I%Z>BNfHbw1aPvD;+SLCZOW;df@^}nMU)w zNVZi{^_yWhfEP8;8oTa)TADW(5C0sNcxf2Q(LjB`F)ms{5WI;G(Z)G1(CuqZ!6`JB N8>VAB)oRh^{{q$ZHw*v( diff --git a/radio/worker/plot.py b/radio/worker/plot.py index 9cc8a94..29b1f7e 100644 --- a/radio/worker/plot.py +++ b/radio/worker/plot.py @@ -1,8 +1,8 @@ from datetime import datetime, timedelta try: - from .song_history import download_to_df + from .song_history import download_to_df, get_durations except: - from song_history import download_to_df + from song_history import download_to_df, get_durations import pandas as pd import plotly.offline as opy pd.options.plotting.backend = "plotly" @@ -65,9 +65,25 @@ def get_plot(): ''' if __name__=='__main__': + print('Downloading to df()...') df, mdf = download_to_df() - print(df.tail(7)) + print('Get durations(df)... ') + durations = get_durations(df.id.unique()) + df = df.merge(durations, on='id', how='left') + print(df.head(1)) + + print('Find artist with longest sum duration') + df_artist_track = df.groupby(['artist', 'id']) + duration = df_artist_track['duration'].sum() + count = df_artist_track['count'].sum() + + (count*duration).hist() + + + print('end') + + # fig = df.plot. diff --git a/radio/worker/song_history.py b/radio/worker/song_history.py index a47042e..bee7b70 100644 --- a/radio/worker/song_history.py +++ b/radio/worker/song_history.py @@ -6,16 +6,12 @@ import io, json, logging import pandas as pd import requests as r +import os -# Request recently played -def get_recents(token=None) -> dict: - if not token: - token = get_token() - URL = "https://api.spotify.com/v1/me/player/recently-played" # api-endpoint for recently played - HEAD = {'Authorization': 'Bearer '+token} # provide auth. crendtials - PARAMS = {'limit':50} # default here is 20 - return r.get(url=URL, headers=HEAD, params=PARAMS).json() +real_path = os.path.realpath(__file__) +dir_path = os.path.dirname(real_path) +####### CLOUD HANDLING ############# # Download csv from FileShare to dataframe def download_to_df() -> pd.DataFrame: file_client = get_fileshare_client('history.csv') # create FileShareClient @@ -27,6 +23,9 @@ def download_to_df() -> pd.DataFrame: # Convert json data to dataframe def json_to_df(data=None, latest=None) -> pd.DataFrame: + ''' + typical josn data format: + ''' if not isinstance(data, dict): try: data = data.json() # This needs to be cleaned up @@ -76,7 +75,10 @@ def df_to_csv(df=None) -> str: return csv_str except: return df +##################################### + +##### API CALLS ############## # Get currently playing def get_current(token=None) -> dict: if not token: @@ -89,6 +91,99 @@ def get_current(token=None) -> dict: else: return {} +# Request recently played +def get_recents(token=None) -> dict: + if not token: + token = get_token() + URL = "https://api.spotify.com/v1/me/player/recently-played" # api-endpoint for recently played + HEAD = {'Authorization': 'Bearer '+token} # provide auth. crendtials + PARAMS = {'limit':50} # default here is 20 + return r.get(url=URL, headers=HEAD, params=PARAMS).json() + +def get_durations(ids = '', token=None, store=True): + pth = os.path.join(dir_path, 'store', 'duration_df.pkl') + + # ids.pop(ids.index[3]) # TODO: delete when left on checked and working + durations = pd.DataFrame({ + 'id':ids + }) + + print('Looking for cached durations') + try: + # local_durations = pd.read_csv(os.path.join(dir_path, 'store/durations.csv')) + local_durations = pd.read_pickle(pth) + id_ = local_durations.index + local_durations.reset_index(inplace = True) + local_durations['id'] = id_ + del id_ + print('Found local durations') + except Exception as e: + print('Nothing stored locally. Calling API...') + local_durations = pd.DataFrame(durations) + + # durations = durations.merge(local_durations,how='outer', on='id') + durations = pd.concat([local_durations, durations]) + durations = durations.drop_duplicates('id', keep='first', ignore_index=True) + durations.fillna(0, inplace=True) + try: + durations.drop(columns='count') + except: + print('No count colmun to drop.\n\ + Remove this call on line 132 in song_history.py') + + ids = durations.index[durations.duration<1] + + if len(ids) > 0: + print(f'{len(ids)} new ids to check') + + if not token: + token = get_token() + batches = (len(ids)//50) + 1 + print(f'Will be executing {batches} API call(s)') + + URL = "https://api.spotify.com/v1/tracks" # api-endpoint for recently played + HEAD = {'Authorization': 'Bearer '+token} # provide auth. crendtials + + # batching the unstored indexes incase exceeds max + for i in range(batches): + if i==(batches-1): + batch_ids = ids[50*i:] # last set of indices + else: + batch_ids = ids[50*i:50*(i+1)] # forward indexing + + b_ids = ','.join(batch_ids) + + PARAMS = {'ids':b_ids} + data = r.get(url=URL, headers=HEAD, params=PARAMS).json() + + batch_dur = [] + + for track in data['tracks']: + batch_dur.append(track['duration_ms']) + + durations.duration[batch_ids] = batch_dur + + print(durations[durations.index.isin(batch_ids)]) + + # this only gets stored again when new ids are added + print(f'Storing at {pth}') + durations.to_pickle(pth) + print('Success!') + + return durations + +##################################### + +#### OTHER TOOLS ##### +# bacthes, taken from https://code.activestate.com/recipes/303279-getting-items-in-batches/ +def batch(iterable, size): + ''' + Try replacing my bacthing with something similar + ''' + sourceiter = iter(iterable) + while True: + batchiter = islice(sourceiter, size) + yield chain([batchiter.next()], batchiter) # Run @@ -99,7 +194,7 @@ def run() -> bool: csv_df, latest = download_to_df() print(csv_df.tail()) spot_df = json_to_df(data=data, latest=latest) - +########################### if __name__=='__main__': diff --git a/radio/worker/store/duration_df.pkl b/radio/worker/store/duration_df.pkl new file mode 100644 index 0000000000000000000000000000000000000000..5650acd128f230765d77def5bfc10d7ac72b69c3 GIT binary patch literal 210611 zcmY(r#}EA2wfJQ| zE^u!(NYIN`fBSr|Z#v;~&iUN>pa1^<_|N~@-~BWA&maGCN`@?1|M4>}`9Bs*(&vBv z@gIuGmPo(<{&#==_y5bE|I?rU@W;RSr@mbN{Num<|NixQ*z#pay7eFXWJt<<*I&!*_in3`Wl1hD-#;z+XB^gT**_Z?{>R_{{^Fm1{QF>AzrXVD z{?z{2zxh-6yY$ch?N9g5f6)F;`{)1W&+1?O@%PzwO*tI$&n@Q9fBV1xCH?pQ_`Cn{ zPt!Ej{|o%{`Q1JNJ`sl_3G{_!{D zb#hkrAq1=qd?Q^$nYgzb2rzNOuKA&U4=rB~PAip9yrV#XI^To$>w@R5g`fqyc}Ep> zK*5W{*H8-aHxrb1A7`C~VL1F0&b}7jj%(z*qLvf)dA3k95a6ErY@6r4RDz>T>x9|9 z?Yw}1baUPE(=j{}>zyq1`A~-rehTjv(?_P`^pbEb#W^8Kj%lEvd2e!-ZbBq0hsVTS zj`H*f1gM5GU%DWL1EIO@z$ic8zit`FwpNHl=$

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2021 21:01:21 +0000 Subject: [PATCH 3/4] complete song play plot --- radio/__pycache__/views.cpython-38.pyc | Bin 2751 -> 2816 bytes radio/templates/includes/plots.html | 11 +- radio/templates/radio/index.html | 5 +- radio/views.py | 21 +--- radio/worker/__pycache__/plot.cpython-38.pyc | Bin 1545 -> 3604 bytes radio/worker/plot.py | 118 +++++++++++++++++-- static/css/radio.css | 6 + 7 files changed, 126 insertions(+), 35 deletions(-) diff --git a/radio/__pycache__/views.cpython-38.pyc b/radio/__pycache__/views.cpython-38.pyc index 1257ef7ede2e95829bdb2fa174cdf0973e3d1a8b..7110f11c3e7ce490bab140bd252fa80228c8cabf 100644 GIT binary patch delta 616 zcmZ`#J#Q015Z&3>czxX2=R5mMAaM#Lf`wuvC=dubBBe(ZtdNZHToOn3VeM^{fGmL& z8cJ&m3Vs1~egM!>(IUB_qoRhEoij)fi96}N*}Hjf-p>2Z%c$|t^BiWMk59LrJa*@e zHTW>U7R%I^J}_kHB&{@%L0O9=Oxv>ayN=SXykP6|=)Pid6+LWNzKBiqEnmVG2A0<_ z#J1&i>|kWMH~)6jGM{1Kc{W+WDIciN z)cHE>m`#2wI$<+FahK`JjA4BSCo2zF-!TXL>I>;klUxs%{)KeP6PXv!eKo>KetnW* 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- - -

New space

+
+
{% include "includes/plots.html" %}
diff --git a/radio/views.py b/radio/views.py index 4658e56..1b12bf1 100644 --- a/radio/views.py +++ b/radio/views.py @@ -5,8 +5,7 @@ from .worker.authorize import get_token from datetime import datetime, timedelta import json -# for plotting -from .worker.plot import get_plot +from .worker.plot import artist_duration, song_plays from django.views.generic.base import TemplateView import plotly.offline as opy import plotly.graph_objs as go @@ -26,7 +25,8 @@ def radio(request): # """ context['recents'] = recents() context['current'] = current() - context['plot'] = get_plot() + context['plot_artists'] = artist_duration() + context['plot_songs'] = song_plays() return render(request, 'radio/index.html', context) @@ -99,21 +99,6 @@ def recents(): return content -# def plot(): -# context = {} - -# x = [-2,0,4,6,7] -# y = [q**2-q+3 for q in x] -# trace1 = go.Scatter(x=x, y=y, marker={'color': 'red', 'symbol': 104, 'size': 10}, -# mode="lines", name='1st Trace') - -# data=go.Data([trace1]) -# layout=go.Layout(title="Meine Daten", xaxis={'title':'x1'}, yaxis={'title':'x2'}) -# figure=go.Figure(data=data,layout=layout) -# div = opy.plot(figure, auto_open=False, output_type='div') -# context['plot'] = div -# return context - def Http_current(request): # needs to be json to get progress and duration varaibles return HttpResponse(json.dumps(current()), content_type="application/json") diff --git a/radio/worker/__pycache__/plot.cpython-38.pyc b/radio/worker/__pycache__/plot.cpython-38.pyc index 2dd73d37b9830cb747532628ca52f2e82e8c391c..d4311ea635c450f7d638d7c9f3e179c5b2123b30 100644 GIT binary patch literal 3604 zcmdT{&5s;M6|d^=>6zJGd)FJ=aiR%g!2@_V2_zQAvLY}}0I@H$SF6bRaLKERad`yAHVnJ zm;HXo@cYZrt>4{VW$d3cdGY6A@*Z0KcXWaYp0k2Qtl$yn>|jk;!p^P2j_ksT9L|2l z${U=~gS{`Ue9TJg*Ti*lH}cHr7eUm)PB-ypeL#&E5P?yDP;)+-YwVJMpSN1IVw{-OgGNf0;)g#C$oDbRX z^;6t{4J{prM5QV#Qr)3mq`68?dAqhGsz+sBB_dW;EXKOOo2ppMWumgGthXa?mRBm@ zKfQ+S4@NefxcIpk9kd^z)o-F}psZ``ggs@4HfU=>JB=+^!~cMJjVzikesnLor@7Y{ zgkmQgcd{C5YBl^S-Od(#kIC<0v~JVfno@HFR)u}c&0gB&wDgH9+@~Ba;E@)D{|Y;F z8q!xlI@xosF=(T+ElHiHJ#^57v!5msqgzy^njEZce0*!8xV0fZ+W6qk#?S9;e7LzW zKK=ap^XHmJx--j@{Zzz>8hVm0qwTVKB-e=YWs22ND&g%+2ep!8@`9l&NfpsbIWKln z8CT=je5sCnHA%}@sK}kktdiQHxlwi7t>>QPlg#0y)hsP_x0u2?MpgzXlrkr?apPY{SnlcK34KI@V|HoAID8pkzdDJ9iU^};VTed zejW6P7-v6PCE<je_R|iv|?=q{#vJ^%6S9Lo2j;R!By*1xpeJDQ*;mU;qbd0S9(%RdK`-G<@nJL=Ysxh1KB&4L|XO_q2T*VM6bK=K~|{ zUF#`_QXSC&tOTuEMYy272C7|SwDT!9tA688JEDuHcWmJl|0HY}P6(Pn^j~F%9ek~0 z&hJdS(;i_h+RC48!dkHkdBP@~_QjgGa!ishH6a=7+4}Zp>-QIknU%W(RSm@W=5TX! z^We(+sT!Ok=S?vt?m%0a&`zF?$w95E)HaaJ1p2|ogRB&T)@*}EnVJl8*e0#jpq>}! zCrR==K==ZZwQI2PBNGnwC@lrV(0*2$7|(wHuXmYtC)Hfml1zw5a1Ep`j(M2KEZNCZ z`3{}hZNWVjiQJ=@$&;Nlujvyx;yzGmfm2obV2I=cfI-Z~1jKo|i|;;L)&vlxYJHdd zSbm32_2y;v$vg#erE(Y1IY|?t{asnjXFI@PTuyiEN~+ihRs&y>EH@r6ztO%wqlDEu zez%PW@-q2NTJ4-^qSnh|ym0MU$z-%ADGSNBXxAlGsU(jH=oVYFiIYW;#6_*U6eo-M zmj=Y87gM2$j9WOmejA+uIxFByK#L_aB9~Z~L5Eg=$Kw_~pF0lv|9D={l0U^;|L=iw z{VNBK{1&b+e}Hb-m6YKOo*9eEAJg;!b?5ez@6+@H>V87qm*LfNYrFGeWg8p6s&RgX zcV99N1ziV?Aiw@Ay8lHr;Fm=iD?_dVf)UE_6T&kk|~47s-TRZu3pevuC_Dv`I5m9q90Gj#_V26|;N$bQqoL zF^e6%PDu$7mh9J?ck^nLW=2MstSOXO62#k5`~lMAu1Ru zAPp0&ad=DIynAt(9yE3hj1_8|JWBEhcNeN%OG66Dc zx8)CrPf!*0=LV|c797t~^~?Spb?GB#DC93{+o(?vh?1=>b)ycUkxAJvIQuW?L#^sA zG*p3E6VSFG1kfQ6LaM%sB;5j!1MqP;=zn_w=;xjzBkb2f92ZGe#<8{m;6qFL;6g(t zA7L0``h{WLl#`O;K=+Ig6PTrv`xmIMy;)LzZc&MOp5CLXvnJeF efil*hjCIs?Js#Sj8-{@w^usssycMi?)_(!H*HkC~ delta 881 zcmZ8fy>1gh5Z>9lv(KA5|3*-d2owpyL5LI@nt+gyC{tk3oREy;IXkxQeAeDMB*<2Z zq@kcd#{+~H;1Q_l=#P>LiJq33C5j9y&Ft*#&dfL8?8l9F-swxEVE40WKXvcQwn7xuzL-*2GOH{Zc{ga3&2!fskv(`kH1`%r%}qR~ zC>~9)UhMjtMc2Q-)nb70$<9dkXNSG?V3L(;#g?PASo)h?(=m_Pv~BR4#4Gi$W>C6& cNs9A0dcs|0>!h0WPh9?spe)r^%5`1!2i@(UQvd(} diff --git a/radio/worker/plot.py b/radio/worker/plot.py index 29b1f7e..5ed189a 100644 --- a/radio/worker/plot.py +++ b/radio/worker/plot.py @@ -23,7 +23,7 @@ def past_months(df, number_of_months=1): then = then_dt.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3]+'Z' return df[df['played_at']>then] -def to_html(figures): +def to_html(figure): context = {} div = opy.plot(figure, auto_open=False, output_type='div') context['plot'] = div @@ -42,6 +42,99 @@ def get_plot(): return to_html(fig_artist) +def get_duration_plot(top=37): + print('Downloading to df()...') + df, mdf = download_to_df() + + print('Get durations(df)... ') + durations = get_durations(df.id.unique()) + df = df.merge(durations, on='id', how='left') + print(df.head(1)) + + print('Find artist with longest sum duration') + df_artist_track = df.groupby(['artist', 'id']) + duration = df_artist_track['duration'].sum() + count = df_artist_track['count'].sum() + + total_time_artist = (count*duration).groupby('artist').sum() + total_time_artist.sort_values(ascending=True, inplace=True) + + top_artists_ms = total_time_artist.tail(top) + + top_artists = top_artists_ms/(1000*60*60) + + print(top_artists) + + figure = top_artists.plot.barh(labels={ + 'value':'hours', + 'artist':'artists', + 'variable':'hours' + }, color='value', + template='plotly_dark') + figure.update(layout_showlegend=False) + + return to_html(figure) + +def artist_duration(n=37): + print('Downloading to df()...') + df, mdf = download_to_df() + + print('Get durations(df)... ') + durations = get_durations(df.id.unique()) + df = df.merge(durations, on='id', how='left') + print(df.head(1)) + + print('Find artist with longest sum duration') + df_artist_track = df.groupby(['artist', 'id']) + duration = df_artist_track['duration'].sum() + count = df_artist_track['count'].sum() + + total_time_artist = (count*duration).groupby('artist').sum() + total_time_artist.sort_values(ascending=True, inplace=True) + + top_artists_ms = total_time_artist.tail(n) + + top_artists = top_artists_ms//(1000*60*60) + + print(top_artists) + + figure = top_artists.plot.barh(labels={ + 'value':'hours', + 'artist':'artists', + 'variable':'hours' + }, color='value', + template='plotly_dark') + figure.update(layout_showlegend=False) + + return to_html(figure) + +def song_plays(n=37): + print('Downloading to df()...') + df, mdf = download_to_df() + + 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) + + top_songs.index = [n-i for i in range(n)] + print(top_songs) + + 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 + ) + + return to_html(figure) + ###################### # def unzip(df): @@ -65,21 +158,22 @@ def get_plot(): ''' if __name__=='__main__': - print('Downloading to df()...') - df, mdf = download_to_df() + # print('Downloading to df()...') + # df, mdf = download_to_df() - print('Get durations(df)... ') - durations = get_durations(df.id.unique()) - df = df.merge(durations, on='id', how='left') - print(df.head(1)) + # print('Get durations(df)... ') + # durations = get_durations(df.id.unique()) + # df = df.merge(durations, on='id', how='left') + # print(df.head(1)) - print('Find artist with longest sum duration') - df_artist_track = df.groupby(['artist', 'id']) - duration = df_artist_track['duration'].sum() - count = df_artist_track['count'].sum() + # print('Find artist with longest sum duration') + # df_artist_track = df.groupby(['artist', 'id']) + # duration = df_artist_track['duration'].sum() + # count = df_artist_track['count'].sum() - (count*duration).hist() + # (count*duration).hist() + song_plays() print('end') diff --git a/static/css/radio.css b/static/css/radio.css index 10c013b..e3efa42 100644 --- a/static/css/radio.css +++ b/static/css/radio.css @@ -225,6 +225,12 @@ h3{ } +/* Plots */ +.plots{ + background-color: rgb(17, 17, 17); + border-radius: 10px; + padding: 5px; +} /* scrollbars format */ .row::-webkit-scrollbar{ From f1d2d30bee15d3701468deb197041156851fd17d Mon Sep 17 00:00:00 2001 From: pmhalvor Date: Wed, 17 Feb 2021 21:18:35 +0000 Subject: [PATCH 4/4] clean prints and fix hover labels --- radio/worker/__pycache__/plot.cpython-38.pyc | Bin 3604 -> 2380 bytes radio/worker/plot.py | 115 +++---------------- 2 files changed, 14 insertions(+), 101 deletions(-) diff --git a/radio/worker/__pycache__/plot.cpython-38.pyc b/radio/worker/__pycache__/plot.cpython-38.pyc index d4311ea635c450f7d638d7c9f3e179c5b2123b30..7b659f26eeafbc4b960075f1d2b1231c3a916fc8 100644 GIT binary patch literal 2380 zcmZuzOK%)S5bo}I&py0%th^MEApx?2ta(N}tO!ArV-7q7j6lO=yLUb7d2D)movbx0 zAvsbaAs@nl3qo2SedG7^6)w4O2M$oxyN+X&9Zhw0cTIP7)%R8Jm#tPv;P?39weNon z2>Bg5&;DHKd<<{(GYC#N%}7onlGBJ%vbW9|w=$Mnk(Jw#P03fJxI_s)V0&uj8&a^Z zan#P7$Th8(`%wUvj&Mies1Y~0%e@CAYVj2w@bCeR+PuRXyb0Qh=o~T$&$3ok<5zJfVcq%dYT}!)zbU2Yhd;PLd;=Ym|j2{u%hUV|9 zo7-hBHplsPlI@mqvr3iNlnGDE&3mQX5pok(?2V_|gAKP;o;BdJ$_GKHO*_=5vIF{) zS3sOPAKKwgc+Tn%5Q^-RZ`q8_n4&cuvAK0f_UX(5-L9>tXNI}C!);E7?2yjv+UCv$ zGItNj%mLk9>Td1U&N@NMLuzKd+8cQsAOC<+QhRg%5rGx_+ULPVG7D5N59pYx@wQs21B5{xj5?!L9^x0Ew|R@V51d(8hodzBQ|AC| z)R{Wm#~iKR)-2`P&cp!oz{)~f+vPp&CQ_x90u(J#p`Cs?DbyDxnN?pDJS~RWON()q z^hNr^pVx`D5oo7^${>yinll*Giy(%iCf}{iC?}5qBnaopR=%6^hnH$XZ5 zLN^x3j(H+?x{jvzHJ#$ovQp}ByWABrE)w93uS5*6+N~z-AB%6o|qLieWW@D~{n~6$p zN!+g?MFkv83oh;>^0P@^RN9eA0gE|{VP`DULK&K9`%WUaVbd|P+#tH!kT0Pl4ESv2 zAcEu6RnZC`#LMU?ne=z$IrRHHh-g)nD#>EZ+|nd!t8%>5t2nQs#xs4{#4nMGas!1) z$;$sCzX~%|4+NnhYts(AP1%wtpbkLxy>{0P1{1s|j>6ygOZ ze*;B9twD?{ddy8^CRU#m>JE1dljz*y7IzIFt=gK~hh*d!o*90Qps<2%aKM0}&fGJs za}BFP-gw|E;Ng;0ZX765yM|S!EW^4UtW3FAyQ2U~v^8YB$y*2B4EfyTZN6go)v7(i zug>kgvp1K;76`MU$_+la+U@mv+BQIQOhSNG@@+VuM2^U_C@?!+Dz_HR1!zu%2APHE zGt9aKiec6|GD|JFwNKBH1-B#`bSZ#QN%;cki{zO!Vg}{QATatTY?++8@-3Xah63><-$C&%3cM`jbr4Z&L4tTe(ghcM!v*<18hwC94P1B$YVF0QmQ_&; zc`5jDH$b4{xvS^GJUj^rx>daag206mBC_FX0bH{aTm!1%!U2r`<@%ui>)P@Yu-ASZ z=Sf<`v9_>~P>F0gZq_8`RpK3_n`XOhC|#wTo|GHyj+25XmE1(5_M)Ek%E2H@3#dCw zMdEb^y|KB`wU1`XRO~yzf7sZ>$uRDzTP8&DA|D1CC&JL&-^xoq$;1u(TVSer2hO+- UXFLm0XwuN~-Ebqk;yW(;55dt&CIA2c literal 3604 zcmdT{&5s;M6|d^=>6zJGd)FJ=aiR%g!2@_V2_zQAvLY}}0I@H$SF6bRaLKERad`yAHVnJ zm;HXo@cYZrt>4{VW$d3cdGY6A@*Z0KcXWaYp0k2Qtl$yn>|jk;!p^P2j_ksT9L|2l z${U=~gS{`Ue9TJg*Ti*lH}cHr7eUm)PB-ypeL#&E5P?yDP;)+-YwVJMpSN1IVw{-OgGNf0;)g#C$oDbRX z^;6t{4J{prM5QV#Qr)3mq`68?dAqhGsz+sBB_dW;EXKOOo2ppMWumgGthXa?mRBm@ zKfQ+S4@NefxcIpk9kd^z)o-F}psZ``ggs@4HfU=>JB=+^!~cMJjVzikesnLor@7Y{ zgkmQgcd{C5YBl^S-Od(#kIC<0v~JVfno@HFR)u}c&0gB&wDgH9+@~Ba;E@)D{|Y;F z8q!xlI@xosF=(T+ElHiHJ#^57v!5msqgzy^njEZce0*!8xV0fZ+W6qk#?S9;e7LzW zKK=ap^XHmJx--j@{Zzz>8hVm0qwTVKB-e=YWs22ND&g%+2ep!8@`9l&NfpsbIWKln z8CT=je5sCnHA%}@sK}kktdiQHxlwi7t>>QPlg#0y)hsP_x0u2?MpgzXlrkr?apPY{SnlcK34KI@V|HoAID8pkzdDJ9iU^};VTed zejW6P7-v6PCE<je_R|iv|?=q{#vJ^%6S9Lo2j;R!By*1xpeJDQ*;mU;qbd0S9(%RdK`-G<@nJL=Ysxh1KB&4L|XO_q2T*VM6bK=K~|{ zUF#`_QXSC&tOTuEMYy272C7|SwDT!9tA688JEDuHcWmJl|0HY}P6(Pn^j~F%9ek~0 z&hJdS(;i_h+RC48!dkHkdBP@~_QjgGa!ishH6a=7+4}Zp>-QIknU%W(RSm@W=5TX! 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') - durations = get_durations(df.id.unique()) - df = df.merge(durations, on='id', how='left') - print(df.head(1)) - - print('Find artist with longest sum duration') - df_artist_track = df.groupby(['artist', 'id']) - duration = df_artist_track['duration'].sum() - count = df_artist_track['count'].sum() - - total_time_artist = (count*duration).groupby('artist').sum() - total_time_artist.sort_values(ascending=True, inplace=True) - - top_artists_ms = total_time_artist.tail(top) - - top_artists = top_artists_ms/(1000*60*60) - - print(top_artists) - - figure = top_artists.plot.barh(labels={ - 'value':'hours', - 'artist':'artists', - 'variable':'hours' - }, color='value', - template='plotly_dark') - figure.update(layout_showlegend=False) - - return to_html(figure) - def artist_duration(n=37): - print('Downloading to df()...') df, mdf = download_to_df() - print('Get durations(df)... ') durations = get_durations(df.id.unique()) df = df.merge(durations, on='id', how='left') - print(df.head(1)) - print('Find artist with longest sum duration') df_artist_track = df.groupby(['artist', 'id']) duration = df_artist_track['duration'].sum() count = df_artist_track['count'].sum() @@ -96,14 +31,17 @@ def artist_duration(n=37): top_artists = top_artists_ms//(1000*60*60) + 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) - figure = top_artists.plot.barh(labels={ - 'value':'hours', - 'artist':'artists', - 'variable':'hours' - }, color='value', - template='plotly_dark') + figure = top_artists.plot.barh( + x = 'time', + y = 'artist', + color='time', + hover_name = top_artists.index, + template='plotly_dark') figure.update(layout_showlegend=False) return to_html(figure) @@ -118,7 +56,7 @@ def song_plays(n=37): sorted_counts = _counts.sort_values('count', ascending=True) top_songs = sorted_counts.tail(n) - top_songs.index = [n-i for i in range(n)] + top_songs.index = ['Rank: '+str(n-i) for i in range(n)] print(top_songs) figure = top_songs.plot.barh( @@ -137,47 +75,22 @@ def song_plays(n=37): ###################### -# def unzip(df): -# return df.index, df.values - -# def plot(df): -# context = {} -# figure = df.plot.barh() -# div = opy.plot(figure, auto_open=False, output_type='div') -# context['plot'] = div -# return context - - ''' Checklist of things to do: - - - hours per artist - - songs as color variables + X hours per artist + X songs plays with color - genre plots? - ''' if __name__=='__main__': # print('Downloading to df()...') # df, mdf = download_to_df() - # print('Get durations(df)... ') - # durations = get_durations(df.id.unique()) - # df = df.merge(durations, on='id', how='left') - # print(df.head(1)) - - # print('Find artist with longest sum duration') - # df_artist_track = df.groupby(['artist', 'id']) - # duration = df_artist_track['duration'].sum() - # count = df_artist_track['count'].sum() - - # (count*duration).hist() - - song_plays() + # song_plays() + artist_duration() print('end') - # fig = df.plot.