python - intersection 2 pandas dataframe -


in problem have 2 dataframes mydataframe1 , mydataframe2 below.

mydataframe1 out[13]:   start   end       remove        50      60        1     61      105       0     106     150       1     151     160       0     161     180       1     181     200       0     201     400       1     mydataframe2 out[14]:      start   end       55      100     105     140     151     154     155     185     220     240

from mydataframe2 remove rows interval start-end contained (also partially) in of "remove"=1 intervals in mydataframe1. in other words there should not itnersection between intervals of mydataframe2 , each of intervals in mydataframe1

in case mydataframe2 becomes

mydataframe2 out[15]:      start   end       151     154

you use pd.intervalindex intersections

get rows removed

in [313]: dfr = df1.query('remove == 1')

construct intervalindex removed ranges

in [314]: s1 = pd.intervalindex.from_arrays(dfr.start, dfr.end, 'both')

construct intervalindex tested

in [315]: s2 = pd.intervalindex.from_arrays(df2.start, df2.end, 'both')

select rows of s2 not in s1 ranges

in [316]: df2.loc[[x not in s1 x in s2]] out[316]:    start  end 2    151  154

details

in [320]: df1 out[320]:    start  end  remove 0     50   60       1 1     61  105       0 2    106  150       1 3    151  160       0 4    161  180       1 5    181  200       0 6    201  400       1  in [321]: df2 out[321]:    start  end 0     55  100 1    105  140 2    151  154 3    155  185 4    220  240  in [322]: dfr out[322]:    start  end  remove 0     50   60       1 2    106  150       1 4    161  180       1 6    201  400       1

intervalindex details

in [323]: s1 out[323]: intervalindex([[50, 60], [106, 150], [161, 180], [201, 400]]               closed='both',               dtype='interval[int64]')  in [324]: s2 out[324]: intervalindex([[55, 100], [105, 140], [151, 154], [155, 185], [220, 240]]               closed='both',               dtype='interval[int64]')  in [326]: [x not in s1 x in s2] out[326]: [false, false, true, false, false]

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