ScoreLikesCounts.md

ScoreLikesCounts

A computed version of the weekly, monthly, yearly and total number of likes for a score

Properties

Name	Type	Description	Notes
total	float	The total number of likes of the score	[optional]
weekly	float	The number of new likes during the last week	[optional]
monthly	float	The number of new likes during the last month	[optional]
yearly	float	The number of new likes during the last year	[optional]

Example

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_from_dict = ScoreLikesCounts.from_dict(score_likes_counts_dict)

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