Blockchain¶

class blocksci.Blockchain(loc)¶

Class representing the blockchain. This class is contructed by passing it a string representing a file path to your BlockSci data files generated by blocksci_parser

address_count(address_type: blocksci.address_type) → int¶

Get an upper bound of the number of address of a given type (This reflects the number of type equivlant addresses of that type).

Return type:	`int`

address_from_index(index: int, type: blocksci.address_type) → Address¶

Construct an address object from an address num and type

Return type:	`Address`

address_from_string(address_string: str) → Optional[Address]¶

Construct an address object from an address string

Return type:	`Optional[Address]`

addresses(address_type: blocksci.address_type) → Union[blocksci.NonstandardAddressRange, blocksci.PubkeyAddressRange, blocksci.PubkeyHashAddressRange, blocksci.MultisigPubkeyRange, blocksci.ScriptHashAddressRange, blocksci.MultisigAddressRange, blocksci.OpReturnRange, blocksci.WitnessPubkeyHashAddressRange, blocksci.WitnessScriptHashAddressRange]¶: Return a range of all addresses of the given type

addresses_with_prefix(prefix: str) → list¶

Find all addresses beginning with the given prefix

Return type:	`list`

blocks¶

Returns a range of all the blocks in the chain

Type:	`blocksci.BlockRange`

filter_blocks(filterFunc, start=None, end=None, cpu_count=8)¶: Return all blocks in range which match the given criteria

filter_txes(filterFunc, start=None, end=None, cpu_count=8)¶: Return all transactions in range which match the given criteria

heights_to_dates(df)¶: Convert a pandas data frame with a block height index into a frame with a block time index

map_blocks(blockFunc, start=None, end=None, cpu_count=8)¶: Runs the given function over each block in range and returns a list of the results

mapreduce_block_ranges(mapFunc, reduceFunc, init=(no default), start=None, end=None, cpu_count=8)¶: Initialized multithreaded map reduce function over a stream of block ranges

mapreduce_blocks(mapFunc, reduceFunc, init=(no default), start=None, end=None, cpu_count=8)¶: Initialized multithreaded map reduce function over a stream of blocks

mapreduce_txes(mapFunc, reduceFunc, init=(no default), start=None, end=None, cpu_count=8)¶: Initialized multithreaded map reduce function over a stream of transactions

most_valuable_addresses() → Dict[int, Address]¶: Get a list of the top 100 most valuable addresses

range(start, end=None) → blocksci.BlockRange¶: Return the range of blocks mined between the given dates

reload() → None¶: Reload the blockchain to make new blocks visible (Invalidates current BlockSci objects)

tx_with_hash(tx_hash: str) → blocksci.Tx¶

This functions gets the transaction with given hash.

Return type:	`blocksci.Tx`

tx_with_index(index: int) → blocksci.Tx¶

This functions gets the transaction with given index.

Return type:	`blocksci.Tx`