lastfm-wordcloud

Script to generate a wordcloud with tags from artists listened by a Last.fm user.

Requirements

• pylast
• tqdm
• wordcloud

The script needs a valid config file with your lastfm API keys (get them at last.fm/api.) in a config.ini file (see config_sample.ini for an example).

The script will extract the top X tags (default 4) of the most listened artists (default 50) over the selected timeframe (default 7day) for a Last.fm user.

You can add tags to the forbidden_tags.txt to ignore some tags.

The size of the tags will be weighted accordingly to both the artist's position in the ranking and the tag's position among other tags of the artist.

The wordcloud will be colored according to a matplotlib colormap (default Blues) and be exported into a 2560x1440 image.

The exported images will be available in the Exports folder.

Usage

python -m lastfm_wordcloud -u USERNAME -t overall

Help

python -m lastfm_wordcloud -h

usage: lastfm_wordcloud [-h] [--debug] [--username USERNAME]
                        [--timeframe TIMEFRAME]
                        [--artists_count ARTISTS_COUNT]
                        [--top_tags_count TOP_TAGS_COUNT]

Create a wordcloud of the genres listened by one or several lastfm users.

options:
  -h, --help            show this help message and exit
  --debug               Display debugging information.
  --username USERNAME, -u USERNAME
                        Usernames, separated by comma.
  --timeframe TIMEFRAME, -t TIMEFRAME
                        Timeframe (Accepted values : 7day, 1month, 3month,
                        6month, 12month, overall. Default : 7day).
  --artists_count ARTISTS_COUNT, -a ARTISTS_COUNT
                        Number of artists to extract (default 10).
  --top_tags_count TOP_TAGS_COUNT, -g TOP_TAGS_COUNT
                        Number of top tags to take into account by artist
                        (default 4).