python 2.7 - How do I conditionally select a row in one pandas dataframe while obtaining a range from another dataframe? -


i need iterate on rows of sdata_long_periods obtain start , end of range of dates. need sdata within range "close" value such low value less 90% of "close" on start date. if found then, should "close" on day else should lowest value between start , end days.

i need rows in sdata_long_periods dataframe. not sure how apply lambda such can conditionally assign value column in sdata_long_periods. 

sdata_long_periods:              end date date                                                     2017-08-18 2017-08-28 2017-08-23 2017-09-05   sdata:                   open    high     low   close    volume     50d    200d date                                                                 2017-08-16  101.84  102.65  101.72  102.20   6698783  105.67  107.02 2017-08-17  102.24  102.58  101.34  101.38   6612443  105.57  107.06 2017-08-18  101.32  101.74  100.66  100.70   6893916  105.50  107.11 2017-08-21  100.64  101.42  100.53  101.17   6492673  105.41  107.15 2017-08-22  101.41  102.91  101.17  102.77   6888650  105.33  107.20 2017-08-23  102.48  102.98  101.48  101.50   5954375  105.23  107.24 2017-08-24  101.82  102.03  101.43  101.52   6976592  105.13  107.28 2017-08-25  101.69  102.68  101.56  102.41   6186933  105.06  107.32 2017-08-28  102.49  102.85  102.08  102.56   5630425  105.00  107.36 2017-08-29  102.00  102.99  101.82  102.57   6011650  104.95  107.40 2017-08-30  102.48  103.45  102.48  102.87   6573211  104.93  107.42 2017-08-31  103.00  103.19  101.00  101.20   9823832  104.85  107.44 2017-09-01  101.65  101.92  101.36  101.50   7827433  104.80  107.46 2017-09-05  102.00  102.55  100.90  101.60   9592925  104.75  107.47 2017-09-08   96.49   97.49   96.26   97.07  13147662  104.58  107.46


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