def ico_chart_data(token_name):
key = 'F3C5GJBZ611TXR77PFERXB56R5VD1P9YUD'
try:
address = provider.search(token_name)['ico']
web3 = get_web3_provider()
account = Account(address=address, api_key=key)
transactions = account.get_all_transactions(offset=1000,
sort='asc',
internal=True)
data_frame = pd.DataFrame(transactions)
data_frame = data_frame[(data_frame['isError'] != '1')]
data_frame['datetime'] = pd.to_datetime(data_frame['timeStamp'],
unit='s')
data_frame['value'] = data_frame['value'].apply(
lambda x: web3.fromWei(int(x), 'ether'))
data_frame = data_frame[data_frame['value'] > 0]
data_frame['date'] = data_frame['datetime'].dt.date
data_frame['blockNumber'] = data_frame['blockNumber'].apply(
lambda x: int(x))
data_group = data_frame.groupby('blockNumber')['value',
'isError'].sum()
data_group['index'] = data_group.index
labels = data_group['index'].as_matrix()
min_label = labels.min()
max_label = labels.max()
labels = (labels - min_label) * 100 / (max_label - min_label)
values = data_group['value'].as_matrix()
cumulative_values = values.cumsum()
total = values.sum()
cumulative_values = cumulative_values * 100 / total
return labels, cumulative_values
except:
return None
def main():
if len(sys.argv) < 2:
print("usage: " + os.path.basename(__file__) + " user_wallet")
sys.exit(1)
else:
wallet_addy = str(sys.argv[1])
address = wallet_addy
api = Account(address=wallet_addy, api_key=key)
transactions = api.get_all_transactions(offset=10000,
sort='des',
internal=False)
pprint.pprint(transactions)
from etherscan.accounts import Account
import json
with open('../../api_key.json', mode='r') as key_file:
key = json.loads(key_file.read())['key']
# address = ['0xddbd2b932c763ba5b1b7ae3b362eac3e8d40121a', '0xddbd2b932c763ba5b1b7ae3b362eac3e8d40121a']
address = '0x49edf201c1e139282643d5e7c6fb0c7219ad1db7'
api = Account(address=address, api_key=key)
transactions = api.get_all_transactions(offset=10000,
sort='asc',
internal=True)
print(transactions[0])
from etherscan.accounts import Account
import json
with open('../../api_key.json', mode='r') as key_file:
key = json.loads(key_file.read())['key']
# address = ['0xddbd2b932c763ba5b1b7ae3b362eac3e8d40121a', '0xddbd2b932c763ba5b1b7ae3b362eac3e8d40121a']
address = '0x5bda447c0c2ade0a0b6daf22c88505f9e55f0c61 '
api = Account(address=address, api_key=key)
transactions = api.get_all_transactions(offset=10000, sort='asc')
print(transactions[0])
def get_all_transactions():
api = Account(address=ADDRESS, api_key=ether_key)
transactions = api.get_all_transactions(offset=10000,
sort='asc',
internal=True)
return transactions
from etherscan.accounts import Account
import json
with open('../../api_key.json', mode='r') as key_file:
key = json.loads(key_file.read())['key']
address = '0x49edf201c1e139282643d5e7c6fb0c7219ad1db7'
api = Account(address=address, api_key=key)
transactions = api.get_all_transactions(offset=10000, sort='asc',
internal=False)
print(transactions[0])
class Accounts(EtherscanAPI):
def __init__(self, address):
super().__init__()
self.address = address
self.api = Account(address=address, api_key=self.key)
self._create_data_folder(DATA_DIR)
def _data_to_df_save(self, data, filename, save=False):
df = pd.DataFrame(data)
df['timeStamp'] = pd.to_datetime(df['timeStamp'], unit='s')
df.set_index('timeStamp', inplace=True)
if save:
filepath = os.path.join(DATA_DIR, filename)
df.to_csv(filepath)
print('Data file saved')
return df
def get_balance(self):
balance = self.api.get_balance()
return balance
def get_balance_multi(self):
balances = self.api.get_balance_multiple()
return balances
def get_block_mined(self,
page=1,
offset=10000,
blocktype='blocks',
save=False):
block = self.api.get_blocks_mined_page(page=page,
offset=offset,
blocktype=blocktype)
filename = f'{self.address}-page{page}-offset{offset}-blocks-mined.csv'
blocks_df = self._data_to_df_save(block, filename, save=save)
return blocks_df
def get_all_blocks_mined(self,
offset=10000,
blocktype='blocks',
save=False):
blocks = self.api.get_all_blocks_mined(offset=offset,
blocktype=blocktype)
filename = f'{self.address}-all-blocks-mined.csv'
blocks_df = self._data_to_df_save(blocks, filename, save=save)
return blocks_df
def get_all_transactions(self,
offset=1000,
sort='acs',
internal=False,
save=False):
transactions = self.api.get_all_transactions(offset=offset,
sort=sort,
internal=internal)
filename = f'{self.address}-all-transactions.csv'
transac_df = self._data_to_df_save(transactions, filename, save=save)
return transac_df
def get_transaction_page(self,
page=1,
offset=10000,
sort='asc',
internal=False,
erc20=False,
save=True):
transactions = self.api.get_transaction_page(page=page,
offset=offset,
sort=sort,
internal=internal,
erc20=erc20)
transac_df = pd.DataFrame(transactions)
transac_df['timeStamp'] = pd.to_datetime(transac_df['timeStamp'],
unit='s')
transac_df.set_index('timeStamp', inplace=True)
filename = f'{self.address}-page{page}-offset{offset}-transactions.csv'
transac_df = self._data_to_df_save(transactions, filename, save=save)
return transac_df
def get_all_transactions(address, offset, sort, internal):
api = Account(address=address, api_key=key)
transactions = api.get_all_transactions(offset=offset,
sort=sort,
internal=internal)
print(transactions[0])