214 lines
13 KiB
Plaintext
214 lines
13 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Stats\n",
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"\n",
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"Some easy numbers about habits"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# % of scrobbles with attached URIs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"97.01% joined scrobbles\n"
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]
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},
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{
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"data": {
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"image/png": 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shHWFtfaOtoc0GGNOAz5irT0vv17rtflz9gUesNZ+od2E/cPAB4HDOzhUYneyMtqDbFL/Jmvt1fmfTWPLebrDyS7oMx74KZ0cKuFTed3L5v10kboYzNq3J1YWvvC+7DSoyj7m1RE7ZKdBDejiQ41j2orn6hKyJHzZbQR4HJWX1NlqBg15sHroIQ9WD23d1oeWjQeZdOHkyrzXj6k81fKuykvDhrNqrDG0v87p5oeB5xsS2GM+jbzOIPs0RqQp7G1ee/mYylMvT67MW3do5flBu7Fsz76mOhr4E9NWvNd1vqLzbeQl0jRetKP2eLFl1B63tHygddvOrFh6WOW52Tc4zOULnz6dWwSsdB1CZHveYtiI+6oTX+j8ltIZb8orjUMLPOk6h0gN/uQ6gA+8Ka+cdh2l2a0D5rkO4QPfyquW0yZEXHosjcOaVk2Q7fOtvGa7DiDSid+4DuALr8orjcPFwNOuc4hsR+I6gC+8Kq/cLNcBRLbhlTQO/+w6hC98LK97Or+JiBPaZexFPpbX/eh4L2lOMzu/idTKu/JK43A9eoeT5rOebDka6SXelVfuf10HEGnnoTQOV7kO4RNfy2sm2cGAIs3iTtcBfONleaVxuJJsYTaRZrAWuNl1CN94WV65mpaSFWmAGWkcduUCFVIDb8srjcMHgWdc5xABfuw6gI+8La/c9a4DSOk9m7+RSi/zvbxuAmq6jJJInWjUVSdel1c+z3Cb6xxSWuvI3kClDrwur5wm7sWVO9I4XOo6hK+8L680Dh9G63yJG991HcBn3pdX7nLXAaR07kzjUCv71lEpyiuNwwR4xHUOKQ2L3jDrrhTllbvMdQApjdvSONQ69XVWmvJK43A2WiZa6q8FmOY6RBmUprxyGn1Jvd2SxuF81yHKoFTllcbhI2gNcamfjcAVrkOURanKK3cZUHUdQrz0kzQOn3MdoixKV15pHD4B/NB1DvHOG8AlrkOUSenKK3cJ8KLrEOKVqVr2prFKWV5pHK4GPu86h3jjd2kc/sx1iLIpZXkBpHE4C9ALTnpqLfA51yHKqLTllbsYeNN1CCm0S9M4XOQ6RBmVurzyM/4vcp1DCuth4BrXIcrKWGtdZ3AuiJK7gJNd55BCWQW8J43DBa6DlFWpR15tXAD81XUIKZTzVVxuqbxo3X08neyqxiKduSqNw9tdhyg7lVcujcNHgamuc0jT+x3wL65DiOa8thJEyU3Aua5zSFN6GZiYxqE+oW4CGnlt7XPAH12HkKazHjhNxdU8VF7tpHH4DvC3wKuus0hT+VI+tSBNQuXVgTQOXwE+Cqx0nUWawrfSOLzOdQjZkua8tiOIkmOAWcBg11nEmelpHOpA5iakkdd2pHE4BzgFXXW7rP4L+JLrENIxjbxqEERJCNwJ9HOdRRrml8CZaRy2uA4iHdPIqwb5pdPOIru4gvhvJnC2iqu5qbxqlMbhDLLTiDRU9dvvgY+ncbjBdRDZPpVXF6RxuOkAVp1G5Kc7gJPyw2Wkyam8uiiNw5uBDwJa8tcv3wM+kcbhWtdBpDaasO+mIEoOILuM2r6us0iPVIEvp3E43XUQ6RqVVw8EUbILcBdwlOss0i1rgLPSOLzLdRDpOu029kB+ntsJZB+rS7G8Dhyn4ioulVcP5ZO7ZwDfRBezLYrHgElpHP7JdRDpPu029qIgSo4HbgL2cJ1Ftuka4GtpHOoT44JTefWyIEqGA9cDp7nOIlt4C7hAu4n+UHnVSRAl5wHTgSGOo0h2cv0F+Woh4gmVVx0FUbIvcDNwpOssJbUGmJrG4Y9cB5Hepwn7Okrj8DngWOBSsn9I0jh3A4equPylkVeDBFGyF9lR3Ke6zuK5Z8kOOr3XdRCpL5VXgwVRciJZiR3kOotnlgPTgGvTONzoNoo0gsrLgSBK+pCtUHElMMpxnKKrAj8GLkvjcInrMNI4Ki+HgigZDPwTcBEw0nGcoqmSrQLxjTQOn3QdRhpP5dUEgigZBHyarMj2cxyn2a0FbgSuzj8QkZJSeTWRIEoqZGvmTwWOdhyn2SwFrgV+qGsnCqi8mlYQJUeRldgpQB/HcVxaSHaw7w1pHOpwE2ml8mpyQZTsBpwOfJJs6R3jNlFDvALcCvxcJ0/Ltqi8CiQ/VuwMsiKb6DhOb3sLuB24BXggjUOt0CHbpfIqqCBK9iMrsQ8BRwD93SbqlhS4j2xBx3t00QvpCpWXB4IoGUh2/uQUYDLZ7mUznhD+IvAw2RV67tOnhdITKi8PBVHSl2y3cjJwGDAeOAAY3KAIa4FFZJPtC4DHgTla1UF6k8qrJIIoMWSLJI4DxgJB/jWarNSGtPk+BBjElh8ObARW5V9vt/l5Jdnu3wKysloIvJzGoV5YUlcqL+lQXnaDgQHAal3LUJqNyktECknreYlIIam8RKSQVF4iUkgqLxEpJJWXiBSSyktECknlJSKFpPISkUJSeYlIIam8RKSQVF4iUkgqLxEpJJWXiBSSyktECknlJSKFpPISkUJSeYlIIam8RKSQVF4iUkgqLxEpJJWXiBSSyktECknlJSKFpPISkUJSeYlIIam8RKSQVF4iUkj/Dx0d8Svbx8zYAAAAAElFTkSuQmCC\n",
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"no_uri = (\n",
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" 'SELECT ' \n",
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" ' COUNT(track) '\n",
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" 'FROM `sarsooxyz.scrobbles.*` '\n",
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" 'WHERE '\n",
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" ' uri IS NOT NULL '\n",
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")\n",
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"\n",
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"uri = (\n",
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" 'SELECT ' \n",
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" ' COUNT(track) '\n",
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" 'FROM `sarsooxyz.scrobbles.*` '\n",
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")\n",
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"\n",
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"no_uri_count = list(client.query(no_uri).result())[0][0]\n",
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"uri_count = list(client.query(uri).result())[0][0]\n",
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"\n",
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"print(f'{( no_uri_count / uri_count ) * 100:.2f}% joined scrobbles')\n",
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"plt.pie([no_uri_count, uri_count - no_uri_count], labels=[\"No URI\", \"Attached URI\"])\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Most listened to unjoined tracks\n",
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"\n",
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"Tracks without uris to allow Last.fm -> Spotify join"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"818 missing tracks\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"artist track \n",
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"Wiley Bring Them All / Holy Grime (feat. Devlin) 54\n",
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"Freddie Gibbs What It B Like 36\n",
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"Travi$ Scott Hell of a Night 35\n",
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"The Black Eyed Peas Street Livin' 35\n",
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"Gorgon City Ready for Your Love (feat. MNEK) 33\n",
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" Unmissable (feat. Zak Abel) 33\n",
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"Freddie Gibbs How We Do ('93 Til Freestyle #3) 31\n",
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"SUMR CAMP Words 28\n",
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"Freddie Gibbs Flamboyant (Freestyle #2) 28\n",
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"Joey Bada$$ Legendary (feat. J. Cole) 27\n",
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"GZA/Genius Gold 26\n",
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"Tchami World To Me (feat. Luke James) 25\n",
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" Godspell (feat. Taiki Nulight) 24\n",
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"Prodigy & Alchemist IMDKV 22\n",
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"Tchami Don't Let Me Down (feat. Kaelyn Behr) 21\n",
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"Death Grips Lord of the Game (ft. Mexican Girl) 20\n",
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"Wait What dead wrong intro 20\n",
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"Al-Namrood Atba'a Al-Namrood 19\n",
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"bastien keb Fit Rare (feat. Cappo) 19\n",
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"Wait What it's all about the crystalizabeths 19\n",
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"Name: album, dtype: int64"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"print(len(scrobbles[scrobbles['uri'].isnull()].drop_duplicates([\"artist\", \"track\"])), \"missing tracks\")\n",
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"scrobbles[scrobbles['uri'].isnull()].groupby([\"artist\", \"track\"]).count()[\"album\"].sort_values(ascending=False).head(20)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from google.cloud import bigquery\n",
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"import matplotlib.pyplot as plt\n",
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"from dotenv import load_dotenv\n",
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"from analysis.query import *\n",
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"from analysis.net import get_spotnet\n",
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"from spotframework.model.uri import Uri\n",
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"import string\n",
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"\n",
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"load_dotenv()\n",
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"\n",
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"client = bigquery.Client()\n",
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"spotnet = get_spotnet()\n",
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"cache = 'query.csv'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Read Scrobble Frame"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"query.csv not found, pulling\n"
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]
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}
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],
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|
"source": [
|
|
"scrobbles = get_query(cache=cache)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Write Scrobble Frame"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"scrobbles.reset_index().to_csv(cache, sep='\\t')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|