Learn practical skills, build real-world projects, and advance your career
Updated 3 years ago
Last.FM Example
Author: Andreas Traut
In this example I downloaded my complete history of played songs since 2016 from www.last.fm (66'955 songs in total) and re-built some of these nice statistics and figues, which last.fm provides. This are for example a bar-plot with monthly aggregates of total played songs. Or top 10 songs of the week and so on. Having the same plots at the end as last.fm has prooves, that my results are correct. :-)
The format of the csv-file is as follows:
Daniel Santacruz Lento 06.02.2020 16:45
Mau y Ricky Para Aventuras y Curiosidades Mi Mala 06.02.2020 16:27
Nelson Freitas Elevate Something Good 06.02.2020 16:23
Jennifer Dias Love U Love U 06.02.2020 16:22
Nelson Freitas Sempre Verão Every Day All Day 06.02.2020 16:18
Daniel Santacruz Lento Lento 06.02.2020 16:16
Mogli Wanderer (Expedition Happiness Soundtrack) Road Holes 05.02.2020 15:49
Serena Ryder Harmony (Deluxe) For You 04.02.2020 17:36
Y'akoto Perfect Timing Perfect Timing 04.02.2020 17:32
Awa Ly FIVE AND A FEATHER LET ME LOVE YOU 04.02.2020 17:28
Doris Day Top 100 Jazz Cheek to Cheek 04.02.2020 17:24
Kendra Morris Summertime Summertime 04.02.2020 17:22import pandas as pd
import numpy as np
from matplotlib import pyplotdf = pd.read_csv('lastfm_data.csv',
names=['artist', 'album', 'song', 'timestamp'],
converters={'timestamp':pd.to_datetime})df.head()