A computed version of the weekly, monthly and total of number of likes for a score
Name | Type | Description | Notes |
---|---|---|---|
total | float | The total number of likes of the score | [default to 0] |
weekly | float | The number of new likes during the last week | [default to 0] |
monthly | float | The number of new likes during the last month | [default to 0] |
from flat_api.models.score_likes_counts import ScoreLikesCounts
# TODO update the JSON string below
json = "{}"
# create an instance of ScoreLikesCounts from a JSON string
score_likes_counts_instance = ScoreLikesCounts.from_json(json)
# print the JSON string representation of the object
print ScoreLikesCounts.to_json()
# convert the object into a dict
score_likes_counts_dict = score_likes_counts_instance.to_dict()
# create an instance of ScoreLikesCounts from a dict
score_likes_counts_form_dict = score_likes_counts.from_dict(score_likes_counts_dict)