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Call squash in groupby #219

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merged 3 commits into from
Nov 2, 2024
Merged

Call squash in groupby #219

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876d742
add squash in groupby
Oct 30, 2024
1e159c8
Refactor check
Oct 30, 2024
3b457f2
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michaelmckinsey1 Oct 31, 2024
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72 changes: 38 additions & 34 deletions thicket/thicket.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1549,45 +1549,49 @@ def groupby(self, by):
Returns:
(list): list of (sub)thickets
"""
if not self.metadata.empty:
# group metadata table by unique values in a column
sub_metadataframes = self.metadata.groupby(by, dropna=False)

# dictionary of sub_thickets
sub_thickets = {}

# for all unique groups of metadata table
for key, df in sub_metadataframes:
# create a thicket copy
sub_thicket = self.deepcopy()

# return unique group as the metadata table
sub_thicket.metadata = df

# find profiles in current unique group and filter performance data
# table
profile_id = df.index.values.tolist()
sub_thicket.dataframe = sub_thicket.dataframe[
sub_thicket.dataframe.index.get_level_values("profile").isin(
profile_id
)
]
if self.metadata.empty:
raise EmptyMetadataTable(
"The provided Thicket object has an empty metadata table."
)

# clear the aggregated statistics table for current unique group
sub_thicket.statsframe.dataframe = helpers._new_statsframe_df(
sub_thicket.dataframe
)
# group metadata table by unique values in a column
sub_metadataframes = self.metadata.groupby(by, dropna=False)

# add thicket to dictionary
sub_thickets[key] = sub_thicket
# dictionary of sub_thickets
sub_thickets = {}

sub_thicket._sync_profile_components(sub_thicket.metadata)
validate_profile(sub_thicket)
else:
raise EmptyMetadataTable(
"The provided Thicket object has an empty metadata table."
# for all unique groups of metadata table
for key, df in sub_metadataframes:
# create a thicket copy
sub_thicket = self.deepcopy()

# return unique group as the metadata table
sub_thicket.metadata = df

# find profiles in current unique group and filter performance data
# table
profile_id = df.index.values.tolist()
sub_thicket.dataframe = sub_thicket.dataframe[
sub_thicket.dataframe.index.get_level_values("profile").isin(profile_id)
]

# clear the aggregated statistics table for current unique group
sub_thicket.statsframe.dataframe = helpers._new_statsframe_df(
sub_thicket.dataframe
)

# If fill_perfdata is False, may need to squash
if len(sub_thicket.graph) != len(
sub_thicket.dataframe.index.get_level_values("node").unique()
):
sub_thicket = sub_thicket.squash()

sub_thicket._sync_profile_components(sub_thicket.metadata)
validate_profile(sub_thicket)

# add thicket to dictionary
sub_thickets[key] = sub_thicket

return GroupBy(by, sub_thickets)

def filter_stats(self, filter_function):
Expand Down
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