# HG changeset patch
# User bgruening
# Date 1528195566 14400
# Node ID def80fd75326ae2c2e2e78fea45f7cf1a4099c4d
# Parent 5a9fcfd4151f047b190a0c895e10a702c847ea2e
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 97c4f22cdcfa6cddeeffc7b102c418a7ff12a888
diff -r 5a9fcfd4151f -r def80fd75326 main_macros.xml
--- a/main_macros.xml Wed May 30 08:25:25 2018 -0400
+++ b/main_macros.xml Tue Jun 05 06:46:06 2018 -0400
@@ -2,12 +2,11 @@
0.9
-def read_columns(f, c, return_df=False, **args):
+def read_columns(f, c=None, c_option='by_index_number', return_df=False, **args):
data = pandas.read_csv(f, **args)
- cols = c.split (',')
- cols = map(int, cols)
- cols = list(map(lambda x: x - 1, cols))
- data = data.iloc[:,cols]
+ if c_option == 'by_index_number':
+ cols = list(map(lambda x: x - 1, c))
+ data = data.iloc[:,cols]
y = data.values
if return_df:
return y, data
@@ -17,7 +16,6 @@
## generate an instance for one of sklearn.feature_selection classes
-## must call "@COLUMNS_FUNCTION@"
def feature_selector(inputs):
selector = inputs["selected_algorithm"]
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@@ -470,10 +489,14 @@
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