unique¶
-
astropy.table.
unique
(input_table, keys=None, silent=False, keep='first')[source] [edit on github]¶ Returns the unique rows of a table.
Parameters: - input_table :
Table
object or a value that will initialize a
Table
object- keys : str or list of str
Name(s) of column(s) used to create unique rows. Default is to use all columns.
- keep : one of ‘first’, ‘last’ or ‘none’
Whether to keep the first or last row for each set of duplicates. If ‘none’, all rows that are duplicate are removed, leaving only rows that are already unique in the input. Default is ‘first’.
- silent : boolean
If
True
, masked value column(s) are silently removed fromkeys
. IfFalse
, an exception is raised whenkeys
contains masked value column(s). Default isFalse
.
Returns: - unique_table :
Table
object New table containing only the unique rows of
input_table
.
Examples
>>> from astropy.table import unique, Table >>> import numpy as np >>> table = Table(data=[[1,2,3,2,3,3], ... [2,3,4,5,4,6], ... [3,4,5,6,7,8]], ... names=['col1', 'col2', 'col3'], ... dtype=[np.int32, np.int32, np.int32]) >>> table <Table length=6> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3 2 3 4 3 4 5 2 5 6 3 4 7 3 6 8 >>> unique(table, keys='col1') <Table length=3> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3 2 3 4 3 4 5 >>> unique(table, keys=['col1'], keep='last') <Table length=3> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3 2 5 6 3 6 8 >>> unique(table, keys=['col1', 'col2']) <Table length=5> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3 2 3 4 2 5 6 3 4 5 3 6 8 >>> unique(table, keys=['col1', 'col2'], keep='none') <Table length=4> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3 2 3 4 2 5 6 3 6 8 >>> unique(table, keys=['col1'], keep='none') <Table length=1> col1 col2 col3 int32 int32 int32 ----- ----- ----- 1 2 3
- input_table :