def replace_accessions(base_df: pd.DataFrame, match_df: pd.DataFrame) \
-> pd.DataFrame:
"""
Args:
base_df:
match_df:
Returns:
pd.DataFrame
"""
# In the DataFrame to match against, create a new column, "Accessions",
# as a list of accession IDs, then "explode" into separate rows
temp_df = match_df.assign(Accessions=match_df.Accession.str.split("; ")).\
explode("Accessions")
base_df = base_df.merge(temp_df[["Accession", "Accessions"]],
on="Accessions")
base_df.Accessions = base_df.pop("Accession")
return base_df.sort_values(["Expt", "N"])
