Question

I’ve been trying to find out how to select a certain value based on multiple other values in the same tuple of a dataframe. The data looks like this(copied from the current dataframe)

    DealID      PropId LoanId   ServicerId    ServicerPropId
0   BAC98765      15   000015    30220144       010-002-001
1   BAC98765      16   000016    30220092       010-003-001
2   BAC98765      45   000045    30220155       010-045-001
3   BAC98765      48   000048    30220157       010-048-001

In SQL terms what I would like to accomplish is this:

Select ServicerPropId from dataframe
 where DealID = 'BAC98765' and ServicerId = '30220144'  

I’ve tried a few different ways to slice the data, but can’t seem to figure out how to get multiple selection criteria to work and return only 1 value into a variable.

Answer 1

columns = ['DealID', 'PropId', 'LoanId', 'ServicerId', 'ServicerPropId']

d = [('A', [ 'BAC98765', '15', '000015', '30220144', '010-002-001']),
     ('B', [ 'BAC98765', '16', '000016', '30220092', '010-003-001']),
     ('C', [ 'BAC98765', '45', '000045', '30220155', '010-045-001']),
     ('D', [ 'BAC98765', '48', '000048', '30220157', '010-048-001']),]

D =  pandas.DataFrame.from_items(d, orient='index', columns=columns)

criterion1 = D['DealID'].map(lambda x: x == 'BAC98765' )
criterion2 = D['ServicerId'].map(lambda x: x == '30220144')

res = D[criterion1 & criterion2]['ServicerPropId']

Using the map lets you put in any condition you want, in this case you can do this more simply (as pointed out in the comments by DSM)

res = D[(D['DealID'] == "BAC98765") & (D["ServicerId"] == "30220144")]['ServicerPropId']

Which gives

In [35]: print res
A    010-002-001
Name: ServicerPropId

In [36]: type(res)
Out[36]: pandas.core.series.Series

(doc)