Test_size.ipynb

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    "import pandas as pd"
   ]
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   "source": [
    "chunkSize = 10000\n",
    "chunkNum = 60\n",
    "\n",
    "transactions_chunk = pd.read_csv('../../transactions.csv',sep='\\s+|\"',engine='python',chunksize=chunkSize,skiprows=1,names=['first_Na','id','hash','nonce','block_hash','block_number','transaction_index','from_address','to_address','value','gas','gas_price','input','block_timestamp','Last_Na'],usecols=range(1,14))\n",
    "\n",
    "i=0\n",
    "for chunk in transactions_chunk:\n",
    "    print(i)\n",
    "    if(i>=chunkNum):\n",
    "        break\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
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