pybedtools.bedtool.BedTool.groupby¶
- BedTool.groupby(*args, **kwargs)[source]¶
Wraps
bedtools groupby
.Example usage:
>>> a = pybedtools.example_bedtool('gdc.gff') >>> b = pybedtools.example_bedtool('gdc.bed') >>> c = a.intersect(b, c=True) >>> d = c.groupby(g=[1, 4, 5], c=10, o=['sum']) >>> print(d) chr2L 41 70 0 chr2L 71 130 2 chr2L 131 170 4 chr2L 171 200 0 chr2L 201 220 1 chr2L 41 130 2 chr2L 171 220 1 chr2L 41 220 7 chr2L 161 230 6 chr2L 41 220 7
For convenience, the file or stream this BedTool points to is implicitly passed as the
-i
argument togroupBy
Original BEDTools help::
Tool: bedtools groupby Version: v2.31.1 Summary: Summarizes a dataset column based upon common column groupings. Akin to the SQL "group by" command. Usage: bedtools groupby -g [group**column(s)] -c [op**column(s)] -o [ops] cat [FILE] | bedtools groupby -g [group**column(s)] -c [op**column(s)] -o [ops] Options: -i Input file. Assumes "stdin" if omitted. -g -grp Specify the columns (1-based) for the grouping. The columns must be comma separated. - Default: 1,2,3 -c -opCols Specify the column (1-based) that should be summarized. - Required. -o -ops Specify the operation that should be applied to opCol. Valid operations: sum, count, count**distinct, min, max, mean, median, mode, antimode, stdev, sstdev (sample standard dev.), collapse (i.e., print a comma separated list (duplicates allowed)), distinct (i.e., print a comma separated list (NO duplicates allowed)), distinct**sort**num (as distinct, but sorted numerically, ascending), distinct**sort**num**desc (as distinct, but sorted numerically, descending), concat (i.e., merge values into a single, non-delimited string), freqdesc (i.e., print desc. list of values:freq) freqasc (i.e., print asc. list of values:freq) first (i.e., print first value) last (i.e., print last value) - Default: sum If there is only column, but multiple operations, all operations will be applied on that column. Likewise, if there is only one operation, but multiple columns, that operation will be applied to all columns. Otherwise, the number of columns must match the the number of operations, and will be applied in respective order. E.g., "-c 5,4,6 -o sum,mean,count" will give the sum of column 5, the mean of column 4, and the count of column 6. The order of output columns will match the ordering given in the command. -full Print all columns from input file. The first line in the group is used. Default: print only grouped columns. -inheader Input file has a header line - the first line will be ignored. -outheader Print header line in the output, detailing the column names. If the input file has headers (-inheader), the output file will use the input's column names. If the input file has no headers, the output file will use "col**1", "col**2", etc. as the column names. -header same as '-inheader -outheader' -ignorecase Group values regardless of upper/lower case. -prec Sets the decimal precision for output (Default: 5) -delim Specify a custom delimiter for the collapse operations. - Example: -delim "|" - Default: ",". Examples: $ cat ex1.out chr1 10 20 A chr1 15 25 B.1 1000 ATAT chr1 10 20 A chr1 25 35 B.2 10000 CGCG $ groupBy -i ex1.out -g 1,2,3,4 -c 9 -o sum chr1 10 20 A 11000 $ groupBy -i ex1.out -grp 1,2,3,4 -opCols 9,9 -ops sum,max chr1 10 20 A 11000 10000 $ groupBy -i ex1.out -g 1,2,3,4 -c 8,9 -o collapse,mean chr1 10 20 A B.1,B.2, 5500 $ cat ex1.out | groupBy -g 1,2,3,4 -c 8,9 -o collapse,mean chr1 10 20 A B.1,B.2, 5500 $ cat ex1.out | groupBy -g 1,2,3,4 -c 10 -o concat chr1 10 20 A ATATCGCG Notes: (1) The input file/stream should be sorted/grouped by the -grp. columns (2) If -i is unspecified, input is assumed to come from stdin.