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Speedup mpes timed dataframes #568

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Merged
merged 1 commit into from
Apr 4, 2025
Merged

Speedup mpes timed dataframes #568

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6 changes: 1 addition & 5 deletions src/sed/loader/mpes/loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -224,7 +224,6 @@ def hdf5_to_timed_dataframe(

electron_channels = []
column_names = []

for name, channel in channels.items():
if channel["format"] == "per_electron":
if channel["dataset_key"] in test_proc:
Expand Down Expand Up @@ -468,16 +467,13 @@ def hdf5_to_timed_array(
# Delayed array for loading an HDF5 file of reasonable size (e.g. < 1GB)

h5file = load_h5_in_memory(h5filename)

# Read out groups:
data_list = []
ms_marker = np.asarray(h5file[ms_markers_key])
for channel in channels:
timed_dataset = np.zeros_like(ms_marker)
if channel["format"] == "per_electron":
g_dataset = np.asarray(h5file[channel["dataset_key"]])
for i, point in enumerate(ms_marker):
timed_dataset[i] = g_dataset[int(point) - 1]
timed_dataset = g_dataset[np.maximum(ms_marker - 1, 0)]
else:
raise ValueError(
f"Invalid 'format':{channel['format']} for channel {channel['dataset_key']}.",
Expand Down
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