# HG changeset patch
# User mvdbeek
# Date 1540810129 14400
# Node ID ce32ecf89099f0d677c2352ba787ac3045fc46f1
# Parent  7ca3885142168904529e6ccd4bea76c8707a9c06
planemo upload for repository https://github.com/bardin-lab/damid_galaxy_tools commit c753dd4f3e1863aae7ba45dcc7efdf6937b03542-dirty

diff -r 7ca388514216 -r ce32ecf89099 consecutive_peaks.py
--- a/consecutive_peaks.py	Fri Oct 26 11:56:10 2018 -0400
+++ b/consecutive_peaks.py	Mon Oct 29 06:48:49 2018 -0400
@@ -19,11 +19,11 @@
     grouped = df.groupby(groupby_column, sort=False)
     if add_number_of_peaks:
         df[PEAKS_PER_GROUP] = grouped[groupby_column].transform(np.size)
-    df[SHIFTED_PADJ_COLUMN] = grouped[8].shift()
+    df[SHIFTED_PADJ_COLUMN] = grouped[padj_column].shift()
     df[CONSECUTIVE_MAX] = df[[padj_column, SHIFTED_PADJ_COLUMN]].max(axis=1)
     grouped = df.groupby(groupby_column, sort=False)
-    idx = grouped[CONSECUTIVE_MAX].transform(min)  # index of groupwise consecutive minimum
-    new_df = df[df[CONSECUTIVE_MAX] == idx]
+    idx = grouped[CONSECUTIVE_MAX].idxmin()  # index of groupwise consecutive minimum
+    new_df = df.loc[idx]
     new_df.sort_values(by=CONSECUTIVE_MAX)
     new_df[padj_column].replace(new_df[CONSECUTIVE_MAX])
     new_df = new_df.drop(labels=[CONSECUTIVE_MAX, SHIFTED_PADJ_COLUMN], axis=1)
diff -r 7ca388514216 -r ce32ecf89099 test-data/grouped.bed
--- a/test-data/grouped.bed	Fri Oct 26 11:56:10 2018 -0400
+++ b/test-data/grouped.bed	Mon Oct 29 06:48:49 2018 -0400
@@ -1,9 +1,7 @@
+39	2L	65671	65675	49.717233352585495	1.78672093221744	0.65335924547836	2.73466847616013	0.006244313130270829	0.0293462152487687	.	6
 3	2L	7691	7695	11.843536367488001	0.151639310614245	0.802284946799774	0.18900929304372102	0.8500855332762621	0.9110416695899171	"gene_id ""FBgn0031208""; gene_symbol ""CG11023"";"	2
 22	2L	16173	16177	57.966776255547295	1.83956446735437	0.5875566682056651	3.1308715684773	0.0017428836310417	0.0114466453224446	"gene_id ""FBgn0002121""; gene_symbol ""l(2)gl"";"	21
-23	2L	16954	16958	104.269971829585	2.00754698293392	0.578809459512681	3.46840734880895	0.0005235530249270281	0.0046887086279990605	"gene_id ""FBgn0002121""; gene_symbol ""l(2)gl"";"	21
 27	2L	22094	22098	156.619353330383	1.30715333943466	0.521853623943724	2.50482755979792	0.0122511106265175	0.0482672435893478	"gene_id ""FBgn0031209""; gene_symbol ""Ir21a"";gene_id ""FBgn0263584""; gene_symbol ""CR43609"";"	4
 31	2L	24357	24361	56.181376195022104	0.41561332875758095	0.5959634297847359	0.6973805907985021	0.48556464487102	0.6406936968052429	"gene_id ""FBgn0031209""; gene_symbol ""Ir21a"";"	2
-32	2L	25083	25087	47.4292294853296	0.713596808954638	0.648352348117706	1.1006311784423202	0.27105721016165	0.4344207343049721	"gene_id ""FBgn0031209""; gene_symbol ""Ir21a"";"	2
+37	2L	65315	65319	137.10185797165198	1.23449113928199	0.524990063103154	2.3514562008756097	0.0187000910325455	0.065785553432607	"gene_id ""FBgn0051973""; gene_symbol ""Cda5"";"	4
 36	2L	55633	55637	7.6690308960147595	0.10176038755412299	0.9304591967365029	0.109365771127888	0.9129123815446079	0.949924793245379	"gene_id ""FBgn0051973""; gene_symbol ""Cda5"";gene_id ""FBgn0267987""; gene_symbol ""CR46254"";"	1
-37	2L	65315	65319	137.10185797165198	1.23449113928199	0.524990063103154	2.3514562008756097	0.0187000910325455	0.065785553432607	"gene_id ""FBgn0051973""; gene_symbol ""Cda5"";"	4
-39	2L	65671	65675	49.717233352585495	1.78672093221744	0.65335924547836	2.73466847616013	0.006244313130270829	0.0293462152487687	.	6