fcapy.context.BinTable¶

class fcapy.context.BinTable(data=None)¶

A class to encapsulate the work with binary tables in an efficient way

all(self, axis=None)¶: Return whether all elements (axis =0), rows in columns (axis =1), columns in rows (axis =2) are True

any(self, axis=None)¶: Return whether any element (axis =0), row in columns (axis =1), column in rows (axis =2) is True

sum(self, axis=None)¶: Return sum of all elements (axis =0), rows in columns (axis =1), columns in rows (axis =2)

arrow_up(self, row_indexes, base_columns=None)¶: Return the maximal set of columns in which all rows (row_indexes) are True

arrow_down(self, column_indexes, base_rows=None)¶: Return the maximal set of rows in which all columns (column_indexes) are True

__init__(data=None)¶

Initialize the BinTable

Parameters: data (list of list or bitsets.bases.BitSets) – Data for the BinTable to store

Methods

`__init__`([data])	Initialize the BinTable
`all`([axis])	Return whether all elements (`axis` =0), rows in columns (`axis` =1), columns in rows (`axis` =2) are True
`any`([axis])	Return whether any element (`axis` =0), row in columns (`axis` =1), column in rows (`axis` =2) is True
`arrow_down`(column_indexes[, base_rows])	Return the maximal set of rows in which all columns (`column_indexes`) are True
`arrow_up`(row_indexes[, base_columns])	Return the maximal set of columns in which all rows (`row_indexes`) are True
`sum`([axis])	Return sum of all elements (`axis` =0), rows in columns (`axis` =1), columns in rows (`axis` =2)
`to_list`()	Return BinTable data as a list of list

Attributes

`data`	Data for the BinTable to store
`height`	Number of rows in the table
`shape`	Shape of the table
`width`	Number of columns in the table

all(axis=None)¶: Return whether all elements (axis =0), rows in columns (axis =1), columns in rows (axis =2) are True

any(axis=None)¶: Return whether any element (axis =0), row in columns (axis =1), column in rows (axis =2) is True

arrow_down(column_indexes, base_rows=None)¶: Return the maximal set of rows in which all columns (column_indexes) are True

arrow_up(row_indexes, base_columns=None)¶: Return the maximal set of columns in which all rows (row_indexes) are True

sum(axis=None)¶: Return sum of all elements (axis =0), rows in columns (axis =1), columns in rows (axis =2)