Output Iterator¶

class blocksci.OutputIterator¶

address¶

For each item: This address linked to this output

Type:	`blocksci.AddressIterator`

address_type¶

For each item: The address type of the output

Type:	`list`

all¶: Returns a list of all of the objects in the range

block¶

For each item: The block that contains this input

Type:	`blocksci.BlockIterator`

index¶

For each item: The output index inside this output’s transaction

Type:	`numpy.ndarray[uint32]`

is_spent¶

For each item: Returns whether this output has been spent

Type:	`numpy.ndarray[NumpyBool]`

spending_tx¶

For each item: The transaction that spent this output or None if it is unspent

Type:	`blocksci.TxOptionalIterator`

spending_tx_index¶

For each item: Returns the index of the tranasction which spent this output or 0 if it is unspent

Type:	`blocksci.IntOptionalIterator`

spent_after_height(height: int) → blocksci.OutputIterator¶

Returns a range including the subset of outputs which were spent after the given height

Return type:	`blocksci.OutputIterator`

spent_before_height(height: int) → blocksci.OutputIterator¶

Returns a range including the subset of outputs which were spent before the given height

Return type:	`blocksci.OutputIterator`

spent_with_age_greater_than(age: int) → blocksci.OutputIterator¶

Returns a range including the subset of outputs which were spent later than the given number of blocks

Return type:	`blocksci.OutputIterator`

spent_with_age_less_than(age: int) → blocksci.OutputIterator¶

Returns a range including the subset of outputs which were spent within the given number of blocks

Return type:	`blocksci.OutputIterator`

tx¶

For each item: The transaction that contains this input

Type:	`blocksci.TxIterator`

tx_index¶

For each item: The tx index of this output’s transaction

Type:	`numpy.ndarray[uint32]`

unspent¶

Returns a range including the subset of outputs which were never spent

Type:	`blocksci.OutputIterator`

value¶

For each item: The value in base currency attached to this output

Type:	`numpy.ndarray[int64]`

with_type(type: blocksci.address_type) → blocksci.OutputIterator¶

Returns a range including the subset of outputs which were sent to the given address type

Return type:	`blocksci.OutputIterator`