memoryfm.ScrobbleLog.from_parquet#

classmethod ScrobbleLog.from_parquet(meta_file, df_file, start=None, end=None, *, artists=None, albums=None, tracks=None)#

Create a ScrobbleLog from a canonical parquet export.

Parameters:

meta_filePathLike or TextIOBase object

JSON file containing ScrobbleLog met as JSON string. The following types are accepted

A pathlib path, or
A string corresponding to a path, such as /home/username/Documents/filename, or
A TextIOBase object having a read() method.

df_filePathLike or TextIOBase object

Parquet file containing the ScrobbleLog DataFrame. The following types are accepted

A pathlib path, or
A string corresponding to a path, such as /home/username/Documents/filename, or
A TextIOBase object having a read() method.

startstr, pd.Timestamp, datetime.datetime, default None

The datetime to start reading the scrobbles.

endstr, pd.Timestamp, datetime.datetime, default None

The datetime to stop reading the scrobbles.

artistsList[str], default None

A list of strings containing artist names. It’s a whitelist, i.e. only scrobbles with artist names from among the list are included.

albumsList[str], default None

A list of strings containing album names. It’s a whitelist, i.e. only scrobbles with album names from among the list are included.

tracksList[str], default None

A list of strings containing track names. It’s a whitelist, i.e. only scrobbles with track names from among the list are included.

Returns: