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in cores 1 the mothers rows needed to be transposed
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@adriantich
adriantich committed Jan 24, 2024
1 parent 8d3bf91 commit 6d6196b
Showing 1 changed file with 9 additions and 0 deletions.
9 changes: 9 additions & 0 deletions dnoise/running_denoise.py
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Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,7 @@ def run_denoise(de, test=False):
list(pd.Series(de.denoised_ratio_output) == mother), de.abund_col_names].sum(0)) +
de.good_mothers[list(de.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_ratio = pd.concat([de.denoised_ratio, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_ratio = pd.concat([de.denoised_ratio, de.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -121,6 +122,7 @@ def run_denoise(de, test=False):
0)) +
de.good_mothers[list(de.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_d = pd.concat([de.denoised_d, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_d = pd.concat([de.denoised_d, de.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -157,6 +159,7 @@ def run_denoise(de, test=False):
0)) +
de.good_mothers[list(de.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_ratio_d = pd.concat([de.denoised_ratio_d, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_ratio_d = pd.concat([de.denoised_ratio_d, de.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -317,6 +320,7 @@ def run_denoise_entropy(de):
0)) +
desub.good_mothers[list(desub.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + desub.abund_col_names + [de.seq]][0])
row = row.to_frame().T
desub.denoised_ratio = pd.concat([desub.denoised_ratio, row], ignore_index=True)
desub.good_mothers = desub.good_mothers.drop(index=mother)
desub.denoised_ratio = pd.concat([desub.denoised_ratio, desub.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -355,6 +359,7 @@ def run_denoise_entropy(de):
0)) +
desub.good_mothers[list(desub.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + desub.abund_col_names + [de.seq]][0])
row = row.to_frame().T
desub.denoised_d = pd.concat([desub.denoised_d, row], ignore_index=True)
desub.good_mothers = desub.good_mothers.drop(index=mother)
desub.denoised_d = pd.concat([desub.denoised_d, desub.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -396,6 +401,7 @@ def run_denoise_entropy(de):
0)) +
desub.good_mothers[list(desub.good_mothers.loc[:, de.id] == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + desub.abund_col_names + [de.seq]][0])
row = row.to_frame().T
desub.denoised_ratio_d = pd.concat([desub.denoised_ratio_d, row], ignore_index=True)
desub.good_mothers = desub.good_mothers.drop(index=mother)
desub.denoised_ratio_d = pd.concat([desub.denoised_ratio_d, desub.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -449,6 +455,7 @@ def run_from_info(de):
de.abund_col_names].sum(0)) +
de.good_mothers[list(de.good_mothers.id == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_ratio = pd.concat([de.denoised_ratio, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_ratio = pd.concat([de.denoised_ratio, de.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -487,6 +494,7 @@ def run_from_info(de):
de.abund_col_names].sum(0)) +
de.good_mothers[list(de.good_mothers.id == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_d = pd.concat([de.denoised_d, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_d = pd.concat([de.denoised_d, de.good_mothers], ignore_index=True)
Expand Down Expand Up @@ -524,6 +532,7 @@ def run_from_info(de):
de.abund_col_names].sum(0)) +
de.good_mothers[list(de.good_mothers.id == mother)][de.seq].values.tolist()]
row = pd.Series(row[0], index=[de.first_col_names + de.abund_col_names + [de.seq]][0])
row = row.to_frame().T
de.denoised_ratio_d = pd.concat([de.denoised_ratio_d, row], ignore_index=True)
de.good_mothers = de.good_mothers.drop(index=mother)
de.denoised_ratio_d = pd.concat([de.denoised_ratio_d, de.good_mothers], ignore_index=True)
Expand Down

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