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6 changes: 3 additions & 3 deletions mofax/core.py
Original file line number Diff line number Diff line change
Expand Up @@ -1330,9 +1330,9 @@ def get_sample_r2(
views: Optional[Union[str, int, List[str], List[int]]] = None,
df: bool = True,
) -> pd.DataFrame:
findices, factors = self.__check_factors(factors, unique=True)
groups = self.__check_groups(groups)
views = self.__check_views(views)
findices, factors = self._check_factors(factors, unique=True)
groups = self._check_groups(groups)
views = self._check_views(views)

r2s = []
for view in views:
Expand Down
48 changes: 31 additions & 17 deletions mofax/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ def _load_samples_metadata(model):
],
columns=["sample", "group"],
)

if "samples_metadata" in model.model:
if len(list(model.model["samples_metadata"][model.groups[0]].keys())) > 0:
_samples_metadata = pd.concat(
Expand All @@ -41,23 +42,36 @@ def _load_samples_metadata(model):
if "sample" in _samples_metadata.columns:
del _samples_metadata["sample"]

samples_metadata = pd.concat(
[
samples_metadata.reset_index(drop=True),
_samples_metadata.reset_index(drop=True),
],
axis=1,
)

# Decode objects as UTF-8 strings
for column in samples_metadata.columns:
if samples_metadata[column].dtype == "object":
try:
samples_metadata[column] = [
i.decode() for i in samples_metadata[column].values
]
except (UnicodeDecodeError, AttributeError):
pass
for df in [samples_metadata, _samples_metadata]:
for column in df.columns:
if df[column].dtype == "object":
try:
df[column] = [i.decode() for i in df[column].values]
except (UnicodeDecodeError, AttributeError):
pass

if "sample" in _samples_metadata.columns:

samples_metadata = pd.merge(
left=samples_metadata,
left_on="sample",
right=_samples_metadata,
right_on="index",
)

if "index" in samples_metadata.columns:
del samples_metadata["index"]

else:

samples_metadata = pd.concat(
[
samples_metadata.reset_index(drop=True),
_samples_metadata.reset_index(drop=True),
],
axis=1,
)

samples_metadata = samples_metadata.set_index("sample")
return samples_metadata
Expand Down Expand Up @@ -230,7 +244,7 @@ def _make_iterable(x):

def calculate_r2(Z, W, Y):
a = np.nansum((Y - Z.T.dot(W)) ** 2.0)
b = np.nansum(Y ** 2)
b = np.nansum(Y**2)
r2 = (1.0 - a / b) * 100
return r2

Expand Down