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adding latest working version

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dtomlinson
2020-03-06 18:20:56 +00:00
parent 2af1cc68f3
commit c0841a0035
1 changed files with 12 additions and 7 deletions
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19
src/musicbrainzapi/api/command_builders/lyrics.py
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@@ -372,6 +372,7 @@ class LyricsBuilder(LyricsConcreteBuilder):
click.echo(f'Processed lyrics for {self.total_track_count} tracks.') click.echo(f'Processed lyrics for {self.total_track_count} tracks.')
return self return self
# rename this
def calculate_average_all_albums(self) -> None: def calculate_average_all_albums(self) -> None:
self.all_albums_lyrics_sum = list() self.all_albums_lyrics_sum = list()
# with open(f'{os.getcwd()}/lyrics_count.json', 'r') as f: # with open(f'{os.getcwd()}/lyrics_count.json', 'r') as f:
@@ -412,20 +413,20 @@ class LyricsBuilder(LyricsConcreteBuilder):
album_lyrics = json.load(f) album_lyrics = json.load(f)
for i in album_lyrics: for i in album_lyrics:
for album, count in i.items(): for album, count in i.items():
# We filter twice, once to remove strings, then to filter
# the integers
_count = [d for d in count if isinstance(d, int)] _count = [d for d in count if isinstance(d, int)]
avg = math.ceil(statistics.mean(_count)) _count = [d for d in _count if d > 1]
stdev = math.ceil(statistics.stdev(_count)) _d = self.get_descriptive_statistics(_count)
# self.album_statistics = addict.Dict(
# **self.album_statistics, **addict.Dict((album, avg))
# )
self.album_statistics = addict.Dict( self.album_statistics = addict.Dict(
**self.album_statistics, **self.album_statistics,
**addict.Dict( **addict.Dict(
(album, addict.Dict(('avg', avg), ('std', stdev))) (album, _d)
), ),
) )
print(self.album_statistics) pprint(self.album_statistics)
# implement above in this
def calculate_final_average_by_year(self) -> None: def calculate_final_average_by_year(self) -> None:
group_by_years = addict.Dict() group_by_years = addict.Dict()
self.year_averages = addict.Dict() self.year_averages = addict.Dict()
@@ -489,16 +490,20 @@ class LyricsBuilder(LyricsConcreteBuilder):
std = math.ceil(numpy.std(nums)) std = math.ceil(numpy.std(nums))
max = math.ceil(numpy.max(nums)) max = math.ceil(numpy.max(nums))
min = math.ceil(numpy.min(nums)) min = math.ceil(numpy.min(nums))
p_10 = math.ceil(numpy.percentile(nums, 10))
p_25 = math.ceil(numpy.percentile(nums, 25)) p_25 = math.ceil(numpy.percentile(nums, 25))
p_75 = math.ceil(numpy.percentile(nums, 75)) p_75 = math.ceil(numpy.percentile(nums, 75))
p_90 = math.ceil(numpy.percentile(nums, 90))
_d = addict.Dict( _d = addict.Dict(
('avg', avg), ('avg', avg),
('median', median), ('median', median),
('std', std), ('std', std),
('max', max), ('max', max),
('min', min), ('min', min),
('p_10', p_10),
('p_25', p_25), ('p_25', p_25),
('p_75', p_75), ('p_75', p_75),
('p_90', p_90),
) )
return _d return _d