ptypy.utils.misc.Table#

class ptypy.utils.misc.Table(dct, name='pods')#

Bases: object

Basic table implemented using numpy.recarray Ideally subclassed to be used with faster or more flexible databases.

__init__(dct, name='pods')#

Methods

`__init__`(dct[, name])
`add_records`(records)	Add records at the end of the table.
`insert_records`(records, record_ids)	Insert records and overwrite existing content.
`modify_add`(record_ids, **kwargs)	Take selected record ids and overwrite fields with values **kwargs.
`new_fields`(**kwargs)	Add fields (columns) to the table.
`new_table`([records])
`pull_records`([record_ids])
`select_func`(func[, fields])	Find all records where search function func evaluates True.
`select_match`(field, match)	Find all records whose values are in the range [low,`high`] for the field entry field
`select_range`(field, low, high)	Find all records whose values are in the range [low,`high`] for the field entry field.

add_records(records)#: Add records at the end of the table.

insert_records(records, record_ids)#: Insert records and overwrite existing content.

modify_add(record_ids, **kwargs)#: Take selected record ids and overwrite fields with values **kwargs.

new_fields(**kwargs)#: Add fields (columns) to the table. This is probably slow.

select_func(func, fields=None)#: Find all records where search function func evaluates True. Arguments to the function are selected by fields. The search function will always receive the record_id as first argument.

select_match(field, match)#: Find all records whose values are in the range [low,`high`] for the field entry field

select_range(field, low, high)#: Find all records whose values are in the range [low,`high`] for the field entry field. Should be a numerical value.