mic-predict / scripts /prep-example.sh
eachanjohnson's picture
Refactor (#1)
0e1702c
Raw History Blame Contribute Delete
807 Bytes
#!/usr/bin/env bash
INPUT="$1"
STRAIN_NAME="$2"
OUTPUT="$3"
FIELDS="$4"
NLINES="${5:-100}"
set -euox pipefail
python -c '
import polars as pl
fields = ["id", "inchikey", "pubchem_name", "pubchem_id", "smiles", "scaffold", "mwt", "clogp", "tpsa", "normalized_inhibition"]
df = pl.read_csv("'"$INPUT"'")
if "Sau_Mean_10uM_inhibition" in df.columns:
df = df.rename({"Sau_Mean_10uM_inhibition": "normalized_inhibition"})
if "Mean_inhibition" in df.columns:
df = df.rename({"Mean_inhibition": "normalized_inhibition"})
df = (
df
.select(fields)
.sample("'"$NLINES"'", seed=42)
.sort("id")
.with_columns(
SMILES=pl.col("smiles"),
mic_method=pl.lit("Broth microdilution"),
full_strain_name=pl.lit("'"$STRAIN_NAME"'"),
)
)
df.write_csv("'"$OUTPUT"'")
'