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time_aggregation: handle case where resolution is bool false

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This commit is contained in:
Fabian Neumann 2024-05-21 14:22:21 +02:00
parent 3d5d56acf3
commit d19a3bcb64
1 changed files with 3 additions and 3 deletions
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6
scripts/time_aggregation.py
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@ -78,13 +78,13 @@ if __name__ == "__main__":
resolution = snakemake.params.time_resolution resolution = snakemake.params.time_resolution
# Representative snapshots # Representative snapshots
if "sn" in resolution.lower(): if isinstance(resolution, str) and "sn" in resolution.lower():
logger.info("Use representative snapshots") logger.info("Use representative snapshots")
# Output an empty csv; this is taken care of in prepare_sector_network.py # Output an empty csv; this is taken care of in prepare_sector_network.py
pd.DataFrame().to_csv(snakemake.output.snapshot_weightings) pd.DataFrame().to_csv(snakemake.output.snapshot_weightings)
# Plain resampling # Plain resampling
elif "h" in resolution.lower(): elif isinstance(resolution, str) and "h" in resolution.lower():
offset = resolution.lower() offset = resolution.lower()
logger.info(f"Averaging every {offset} hours") logger.info(f"Averaging every {offset} hours")
snapshot_weightings = n.snapshot_weightings.resample(offset).sum() snapshot_weightings = n.snapshot_weightings.resample(offset).sum()
@ -95,7 +95,7 @@ if __name__ == "__main__":
snapshot_weightings.to_csv(snakemake.output.snapshot_weightings) snapshot_weightings.to_csv(snakemake.output.snapshot_weightings)
# Temporal segmentation # Temporal segmentation
elif "seg" in resolution.lower(): elif isinstance(resolution, str) and "seg" in resolution.lower():
segments = int(resolution[:-3]) segments = int(resolution[:-3])
logger.info(f"Use temporal segmentation with {segments} segments") logger.info(f"Use temporal segmentation with {segments} segments")