Row

class astropy.table.Row(table, index)

Bases: object

A class to represent one row of a Table object.

A Row object is returned when a Table object is indexed with an integer or when iterating over a table:

>>> from astropy.table import Table
>>> table = Table([(1, 2), (3, 4)], names=('a', 'b'),
...               dtype=('int32', 'int32'))
>>> row = table[1]
>>> row
<Row index=1>
  a     b
int32 int32
----- -----
    2     4
>>> row['a']
np.int32(2)
>>> row[1]
np.int32(4)

Attributes Summary

colnames
columns
dtype
index
meta
table

Methods Summary

as_void()	Returns a read-only copy of the row values in the form of np.void or np.ma.mvoid objects.
get(key[, default])	Return the value for key if key is in the columns, else default.
keys()
values()

Attributes Documentation

colnames

columns

dtype

index

meta

table

Methods Documentation

as_void()

Returns a read-only copy of the row values in the form of np.void or np.ma.mvoid objects. This corresponds to the object types returned for row indexing of a pure numpy structured array or masked array. This method is slow and its use is discouraged when possible.

Returns:

void_rownumpy.void or numpy.ma.mvoid

Copy of row values. numpy.void if unmasked, numpy.ma.mvoid else.

get(key, default=None, /)

Return the value for key if key is in the columns, else default.

Parameters:

keystr, positional-only

The name of the column to look for.

defaultobject, optional, positional-only

The value to return if the key is not among the columns.

Returns:

object

The value in the key column of the row if present, default otherwise.

Examples

>>> from astropy.table import Table
>>> t = Table({"a": [2., 3., 5.], "b": [7., 11., 13.]})
>>> t[0].get("a")
np.float64(2.0)
>>> t[1].get("b", 0.)
np.float64(11.0)
>>> t[2].get("c", 0.)
0.0

keys()

values()