Tx Iterator

class blocksci.TxIterator

property base_size

For each item: The size of the non-segwit data in bytes

Type

numpy.ndarray[int]

property block

For each item: The block that this transaction was in

Type

blocksci.BlockIterator

property block_height

For each item: The height of the block that this transaction was in

Type

numpy.ndarray[int]

property block_time

For each item: The time that the block containing this transaction arrived

Type

numpy.ndarray[datetime64[ns]]

property fee

For each item: The fee paid by this transaction

Type

numpy.ndarray[int]

fee_per_byte(size_measure: str = 'virtual') → numpy.ndarray[int]

For each item: The (rounded) ratio of fee paid to size of this transaction (in byte). By default this uses virtual size, but passing total, base, weight, or virtual let’s you choose a different size measure

fee_per_kbyte(size_measure: str = 'virtual') → numpy.ndarray[int]

For each item: The (rounded) ratio of fee paid to size of this transaction (in kbyte). By default this uses virtual size, but passing total, base, weight, or virtual let’s you choose a different size measure

property hash

For each item: The 256-bit hash of this transaction

Type

numpy.ndarray[S64]

includes_output_of_type(address_type: blocksci::AddressType::Enum) → numpy.ndarray[bool]

For each item: Check whether the given transaction includes an output of the given address type

property index

For each item: The internal index of this transaction

Type

numpy.ndarray[int]

property input_count

For each item: The number of inputs this transaction has

Type

numpy.ndarray[int]

property input_value

For each item: The sum of the value of all of the inputs

Type

numpy.ndarray[int]

property inputs

For each item: A list of the inputs of the transaction

Type

blocksci.InputIterator

property ins

For each item: A list of the inputs of the transaction

Type

blocksci.InputIterator

property is_coinbase

For each item: Return’s true if this transaction is a Coinbase transaction

Type

numpy.ndarray[bool]

property locktime

For each item: The locktime of this transasction

Type

numpy.ndarray[int]

property observed_in_mempool

For each item: Returns whether this transaction was seen in the mempool by the recorder

Type

numpy.ndarray[bool]

property op_return

For each item: If this transaction included a null data address, return its output. Otherwise return None

Type

blocksci.OutputIterator

property output_count

For each item: The number of outputs this transaction has

Type

numpy.ndarray[int]

property output_value

For each item: The sum of the value of all of the outputs

Type

numpy.ndarray[int]

property outputs

For each item: A list of the outputs of the transaction

Type

blocksci.OutputIterator

property outs

For each item: A list of the outputs of the transaction

Type

blocksci.OutputIterator

property size_bytes

For each item: The size of this transaction in bytes

Type

numpy.ndarray[int]

property time_seen

For each item: If recorded by the mempool recorder, the time that this transaction was first seen by your node

Type

numpy.ndarray[datetime64[ns]]

property timestamp_seen

For each item: If recorded by the mempool recorder, the time that this transaction was first seen by your node

Type

numpy.ndarray[int]

property total_size

For each item: The size all transaction data in bytes

Type

numpy.ndarray[int]

property version

For each item: The version of this transaction

Type

numpy.ndarray[int]

property virtual_size

For each item: The weight of the transaction divided by 4

Type

numpy.ndarray[int]

property weight

For each item: Three times the base size plus the total size

Type

numpy.ndarray[int]