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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from blockchain import blockexplorer\n",
"import pandas as pd\n",
"import time\n",
"import datetime\n",
"import csv \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"tx_history = {'date': [], 'total_input_value':[]}\n",
"\n",
"for num in range(1,10000):\n",
" time.sleep(1)\n",
" print(str(num) + 'request')\n",
" address = blockexplorer.get_address('1NDyJtNTjmwk5xPNhjgAMu4HDHigtobu1s', limit=(num*50), offset=((num-1)*50))\n",
" for transaction in address.transactions:\n",
" total_output_value = 0\n",
" for n in transaction.outputs:\n",
" total_output_value+=n.value\n",
" with open(r'/Users/anthony/desktop/binance_transactions.csv', 'a') as f:\n",
" writer = csv.writer(f)\n",
" writer.writerow([transaction.time, total_output_value/100000000, transaction.hash])\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
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"nbformat": 4,
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