python - Match Exactly column name in a data frame -


i have following 

for col in features:      my_features = pd.merge(my_features,drug.ix[:,[col]], left_index = true,right_index=true)

which produces following 

my_features.columns out[373]: index([u'**pcbd1_x**', u'**pcbd1_y**', u'klk8', u'tnfsf13 /// tnfsf12-', u'ripk5', u'svil'], dtype='object')

while should match features 

features out[375]: ['pcbd1', 'klk8', 'tnfsf13 /// tnfsf12-', 'ripk5', 'svil']

how can change "col" match when creating data frame above .in other words avoid bold column matches. regular expression problem.

update

i trying extract columns listed in "features" "drug". before 

for col in features:  my_features = pd.merge(my_features,drug.ix[:,[col]], left_index = true,right_index=true)enter code here

i have following line create structure my_features

my_features =  pd.dataframe( drug.ix[:,features[0]] , index = drug.index , columns=[features[0]])

so whole code like

my_features =  pd.dataframe( drug.ix[:,features[0]] , index = drug.index , columns=[features[0]]) iterfeatures = iter(features) next(iterfeatures) col in features:     my_features = pd.merge(my_features,drug.ix[:,[col]], left_index = true,right_index=true)

you can use pandas.dataframe.filter(). has regex argument [as "like" argument]. http://pandas.pydata.org/pandas-docs/stable/generated/pandas.dataframe.filter.html


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