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[WIP] Fill Invalid Regions w/ Zero #419

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[WIP] Fill Invalid Regions w/ Zero #419

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13 changes: 6 additions & 7 deletions openpmd_viewer/openpmd_timeseries/data_reader/io_reader/utilities.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,15 +59,14 @@ def get_data(series, record_component, i_slice=None, pos_slice=None,
# ADIOS2: Actual chunks, all other: one chunk
chunks = record_component.available_chunks()

# mask invalid regions with NaN: fill value
# note: NaN is only defined for floating point types
NaN_value = np.nan if np.issubdtype(record_component.dtype, np.floating) or np.issubdtype(record_component.dtype, np.complexfloating) else 0
# mask invalid regions with 0: fill value
fill_value = 0

# read whole data set
if pos_slice is None:
# mask invalid regions with NaN
# mask invalid regions with zero
# note: full_like triggers a full read, thus we avoid it #340
data = np.full(record_component.shape, NaN_value, record_component.dtype)
data = np.full(record_component.shape, fill_value, record_component.dtype)

for chunk in chunks:
chunk_slice = chunk_to_slice(chunk)
Expand All @@ -94,8 +93,8 @@ def get_data(series, record_component, i_slice=None, pos_slice=None,
for dir_index in pos_slice_sorted: # remove indices in list
del slice_shape[dir_index]

# mask invalid regions with NaN
data = np.full(slice_shape, NaN_value, dtype=record_component.dtype)
# mask invalid regions with zero
data = np.full(slice_shape, fill_value, dtype=record_component.dtype)

# build requested ND slice with respect to full data
s = []
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