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added check for empty table on plot generation

This commit is contained in:
Lorenzo Volpi 2023-11-30 03:10:06 +01:00
parent 160c6920cb
commit 5847c217ed
1 changed files with 10 additions and 0 deletions
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10
quacc/evaluation/report.py
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@ -436,6 +436,8 @@ class DatasetReport:
if mode == "delta_train": if mode == "delta_train":
_data = self.data(metric, estimators) if data is None else data _data = self.data(metric, estimators) if data is None else data
avg_on_train = _data.groupby(level=1).mean() avg_on_train = _data.groupby(level=1).mean()
if avg_on_train.empty:
return None
prevs_on_train = np.sort(avg_on_train.index.unique(0)) prevs_on_train = np.sort(avg_on_train.index.unique(0))
return plot.plot_delta( return plot.plot_delta(
base_prevs=np.around( base_prevs=np.around(
@ -454,6 +456,8 @@ class DatasetReport:
elif mode == "stdev_train": elif mode == "stdev_train":
_data = self.data(metric, estimators) if data is None else data _data = self.data(metric, estimators) if data is None else data
avg_on_train = _data.groupby(level=1).mean() avg_on_train = _data.groupby(level=1).mean()
if avg_on_train.empty:
return None
prevs_on_train = np.sort(avg_on_train.index.unique(0)) prevs_on_train = np.sort(avg_on_train.index.unique(0))
stdev_on_train = _data.groupby(level=1).std() stdev_on_train = _data.groupby(level=1).std()
return plot.plot_delta( return plot.plot_delta(
@ -474,6 +478,8 @@ class DatasetReport:
elif mode == "delta_test": elif mode == "delta_test":
_data = self.data(metric, estimators) if data is None else data _data = self.data(metric, estimators) if data is None else data
avg_on_test = _data.groupby(level=0).mean() avg_on_test = _data.groupby(level=0).mean()
if avg_on_test.empty:
return None
prevs_on_test = np.sort(avg_on_test.index.unique(0)) prevs_on_test = np.sort(avg_on_test.index.unique(0))
return plot.plot_delta( return plot.plot_delta(
base_prevs=np.around([(1.0 - p, p) for p in prevs_on_test], decimals=2), base_prevs=np.around([(1.0 - p, p) for p in prevs_on_test], decimals=2),
@ -490,6 +496,8 @@ class DatasetReport:
elif mode == "stdev_test": elif mode == "stdev_test":
_data = self.data(metric, estimators) if data is None else data _data = self.data(metric, estimators) if data is None else data
avg_on_test = _data.groupby(level=0).mean() avg_on_test = _data.groupby(level=0).mean()
if avg_on_test.empty:
return None
prevs_on_test = np.sort(avg_on_test.index.unique(0)) prevs_on_test = np.sort(avg_on_test.index.unique(0))
stdev_on_test = _data.groupby(level=0).std() stdev_on_test = _data.groupby(level=0).std()
return plot.plot_delta( return plot.plot_delta(
@ -508,6 +516,8 @@ class DatasetReport:
elif mode == "shift": elif mode == "shift":
_shift_data = self.shift_data(metric, estimators) if data is None else data _shift_data = self.shift_data(metric, estimators) if data is None else data
avg_shift = _shift_data.groupby(level=0).mean() avg_shift = _shift_data.groupby(level=0).mean()
if avg_shift.empty:
return None
count_shift = _shift_data.groupby(level=0).count() count_shift = _shift_data.groupby(level=0).count()
prevs_shift = np.sort(avg_shift.index.unique(0)) prevs_shift = np.sort(avg_shift.index.unique(0))
return plot.plot_shift( return plot.plot_shift(