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drop nan with SEG

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This commit is contained in:
lisazeyen 2023-08-25 16:44:25 +02:00
parent 90b85fcb87
commit b362c009f5
1 changed files with 2 additions and 3 deletions
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5
scripts/prepare_sector_network.py
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@ -3212,7 +3212,7 @@ def apply_time_segmentation(
df = pnl.copy() df = pnl.copy()
df.columns = pd.MultiIndex.from_product([[c.name], [attr], df.columns]) df.columns = pd.MultiIndex.from_product([[c.name], [attr], df.columns])
raw = pd.concat([raw, df], axis=1) raw = pd.concat([raw, df], axis=1)
raw = raw.dropna(axis=1)
# normalise all time-dependent data # normalise all time-dependent data
annual_max = raw.max().replace(0, 1) annual_max = raw.max().replace(0, 1)
raw = raw.div(annual_max, level=0) raw = raw.div(annual_max, level=0)
@ -3282,12 +3282,11 @@ if __name__ == "__main__":
snakemake = mock_snakemake( snakemake = mock_snakemake(
"prepare_sector_network", "prepare_sector_network",
# configfiles="test/config.overnight.yaml",
simpl="", simpl="",
opts="", opts="",
clusters="37", clusters="37",
ll="v1.0", ll="v1.0",
sector_opts="8760H-T-H-B-I-A-solar+p3-dist1", sector_opts="60SEG-T-H-B-I-A-solar+p3-dist1",
planning_horizons="2020", planning_horizons="2020",
) )