{ "metadata": { "name": "", "signature": "sha256:4537c18e3f397ef0de6adbe74e9a1737e7809f71b21a59e2c055805617992fc2" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Bitcoin Floating TX-Fee Estimation\n", "\n", "_The following code collects some data via `$ bitcoin-cli estimatefee %d` and does some statistics on it._\n", "\n", "To reproduce this, let your [bitcoind](http://github.com/bitcoin/bitcoin) sync and keep it running for a while to fill up it's internal statistics. My guess is, at least 25 blocks! Run the `get_estimates()` function below to see what it does. This is then one line in a Pandas DataFrame table, which is the basis for furter analysis.\n", "\n", "In case you need to install libraries, I am using the ones provided via [canopy](https://www.enthought.com/products/canopy/).\n", "\n", "The sources are here: https://github.com/haraldschilly/bitcoin-floating-fee-statistics/ and License is MIT." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import division\n", "import json, sys\n", "from datetime import datetime\n", "import numpy as np\n", "import pandas as pd\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "matplotlib.rcParams[\"figure.figsize\"] = (15, 7)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "/home/opt/canopy/env/User/lib/python2.7/site-packages/pandas/io/excel.py:626: UserWarning: Installed openpyxl is not supported at this time. Use >=1.6.1 and <2.0.0.\n", " .format(openpyxl_compat.start_ver, openpyxl_compat.stop_ver))\n" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "My version of bitcoind is directly compiled from the Git repository with HEAD at" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%sh\n", "cd /opt/bitcoin/git\n", "git rev-parse HEAD" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2c0f019bfc0b9381b6dcad5960df48379b8dfe20\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "%%sh\n", "for x in `seq 1 25`\n", "do\n", " bitcoin-cli estimatefee $x\n", "done" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.00045662\n", "0.00044247\n", "0.00038759\n", "0.00024813\n", "0.00014936\n", "0.00012671\n", "0.00012269\n", "0.00011806\n", "0.00011746\n", "0.00011569\n", "0.00011475\n", "0.00011437\n", "0.00011437\n", "0.00011437\n", "0.00011409\n", "0.00011293\n", "0.00011293\n", "0.00011264\n", "0.00010486\n", "0.00010416\n", "0.00010416\n", "0.00010416\n", "0.00010393\n", "0.00010384\n", "0.00004444\n" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "def get_estimates(n = 25):\n", " ret = [datetime.utcnow()]\n", " \n", " bc = !bitcoin-cli getblockcount\n", " ret.append(int(bc[0]))\n", " \n", " mempool = !bitcoin-cli getrawmempool\n", " mempool_size = len(json.loads(\"\".join(mempool)))\n", " ret.append(mempool_size)\n", " # estimate fee\n", " for x in range(1, n + 1):\n", " fee = !bitcoin-cli estimatefee $x\n", " ret.append(float(fee[0]))\n", " # estimate priority\n", " for x in range(1, n + 1):\n", " fee = !bitcoin-cli estimatepriority $x\n", " ret.append(float(fee[0]))\n", " return ret" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "print get_estimates()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[datetime.datetime(2014, 7, 15, 15, 41, 2, 802820), 310856, 1646, 0.00045662, 0.00044247, 0.00038759, 0.00024813, 0.00014936, 0.00012671, 0.00012269, 0.00011806, 0.00011746, 0.00011569, 0.00011475, 0.00011437, 0.00011437, 0.00011437, 0.00011409, 0.00011293, 0.00011293, 0.00011264, 0.00010486, 0.00010416, 0.00010416, 0.00010416, 0.00010393, 0.00010384, 4.444e-05, 157151063969.1233, 5559097698.717949, 626032456.919708, 282307692.3076923, 197878846.15384614, 147441588.78504673, 116266700.0, 96794871.79487179, 88536539.23076923, 87729154.96, 83889879.46153846, 78756557.42777778, 75417380.75641026, 75000000.0, 75000000.0, 74756818.18181819, 74756818.18181819, 74756818.18181819, 74756818.18181819, 74756818.18181819, 74756818.18181819, 74756818.18181819, 74503026.05128205, 74503026.05128205, 66858856.70454545]\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Gather Data\n", "\n", "The function `gather_data` first schedules a timer in the next 10 seconds (if there isn't already enough data), then appends a row to the raw_data list and then reports where it is. Call it once and wait until it is over or set `gather_data.stop = True`." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import clear_output\n", "import threading\n", "raw_data = []\n", "def gather_data(MAX = 5 * 60 * 2):\n", " clear_output()\n", " if len(raw_data) >= MAX or gather_data.stop:\n", " print(\"gather_data finished\")\n", " sys.stdout.flush()\n", " return\n", " threading.Timer(gather_data.delay, gather_data, args=(MAX,)).start()\n", " raw_data.append(get_estimates())\n", " rem = (MAX - len(raw_data)) * gather_data.delay / 60.\n", " print \"collected %d of %d (ETA: %.2f [min])\" % (len(raw_data), MAX, rem)\n", " print \"last row: %s\" % raw_data[-1]\n", " sys.stdout.flush()\n", "\n", "gather_data.delay = 30 # [secs]\n", "gather_data.stop = False" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "gather_data.stop = False\n", "raw_data = []\n", "gather_data()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "gather_data finished\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### set the `stop` flag to true if you want to interrupt the periodic execution (i.e. execute the cell)" ] }, { "cell_type": "code", "collapsed": true, "input": [ "gather_data.stop = True" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create DataFrame\n", "\n", "The following transformation on `raw_data` will build a neat [Pandas](http://pandas.pydata.org/) DataFrame in `data` with a hierarchy on the colums (useful, because `data.confirm_target` gives just the columns 1 to 25)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from itertools import repeat\n", "cols = zip(repeat(\"info\"), [\"time\", \"blockcount\", \"mempool_size\"])\n", "N = (len(raw_data[0]) - len(cols))//2 + 1\n", "cols.extend(zip(repeat(\"estimate_fee\"), range(1,N)))\n", "cols.extend(zip(repeat(\"estimate_priority\"), range(1,N)))\n", "cols = pd.MultiIndex.from_tuples(cols)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "data = pd.DataFrame(raw_data, columns = cols)\n", "# index on the left, time series like\n", "data = data.set_index((\"info\", \"time\"))\n", "# rename the index\n", "data.index.name = \"time\"\n", "# -1 is the marker for missing data\n", "data.estimate_fee = data.estimate_fee.replace(-1, np.nan)\n", "data.estimate_priority = data.estimate_priority.replace(-1, np.nan)\n", "data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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infoestimate_fee...estimate_priority
blockcountmempool_size12345678...16171819202122232425
time
2014-07-15 15:41:13.114352 310856 1658 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:41:43.117402 310856 1668 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:42:13.120544 310856 1695 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:42:43.126487 310856 1713 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:43:13.130686 310856 1735 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:43:43.133035 310856 1760 0.000457 0.000442 0.000388 0.000248 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:44:13.136201 310857 1272 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:44:43.140928 310857 1290 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:45:13.145862 310857 1319 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:45:43.154284 310857 1341 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:46:13.154102 310857 1364 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:46:43.156286 310857 1390 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:47:13.158993 310857 1416 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:47:43.162497 310857 1437 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:48:13.165570 310857 1461 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:48:43.168614 310857 1487 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:49:13.171451 310857 1516 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:49:43.173327 310857 1540 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:50:13.181247 310857 1568 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:50:43.183738 310857 1594 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:51:13.190051 310857 1612 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:51:43.193719 310857 1629 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:52:13.197621 310857 1651 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:52:43.202080 310857 1686 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:53:13.205981 310857 1703 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:53:43.210404 310857 1723 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:54:13.214950 310857 1750 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:54:43.218046 310857 1771 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:55:13.220774 310857 1794 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
2014-07-15 15:55:43.224040 310857 1821 0.000457 0.000442 0.000388 0.000267 0.000149 0.000127 0.000123 0.000118... 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74756818.181818 74503026.051282 74503026.051282 66858856.704545
..................................................................
2014-07-15 20:26:15.085519 310886 1445 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:26:45.089087 310886 1483 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:27:15.092071 310887 1350 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:27:45.096135 310887 1400 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:28:15.100407 310887 1439 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:28:45.103307 310887 1472 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:29:15.106069 310887 1494 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:29:45.107796 310887 1529 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:30:15.112105 310887 1574 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:30:45.113924 310887 1604 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:31:15.117823 310887 1639 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:31:45.120770 310887 1677 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:32:15.124022 310887 1730 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:32:45.127175 310887 1762 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:33:15.130906 310887 1792 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:33:45.134363 310887 1817 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 70386455.384615 70258974.358974 69556859.653846 69342917.179487 69342917.179487 69342917.179487 69342917.179487 69149539.897959 69149539.897959 64172409.692308
2014-07-15 20:34:15.138175 310888 1363 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:34:45.142255 310888 1395 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:35:15.148041 310889 1279 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:35:45.152854 310889 1315 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:36:15.156235 310889 1351 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:36:45.159456 310889 1401 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:37:15.164041 310889 1435 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:37:45.166880 310889 1469 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:38:15.171130 310889 1503 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:38:45.173203 310889 1535 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:39:15.176979 310889 1571 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:39:45.181333 310889 1601 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:40:15.186681 310889 1632 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
2014-07-15 20:40:45.191143 310889 1663 0.000457 0.000442 0.000388 0.000267 0.000162 0.000129 0.000124 0.000123... 69556859.653846 69342917.179487 69149539.897959 68755634.461538 68755634.461538 68755634.461538 68755634.461538 68125813.364486 68125813.364486 64102564.102564
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600 rows \u00d7 52 columns

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"2014-07-15 15:50:43.183738 0.000118 ... 74756818.181818 \n", "2014-07-15 15:51:13.190051 0.000118 ... 74756818.181818 \n", "2014-07-15 15:51:43.193719 0.000118 ... 74756818.181818 \n", "2014-07-15 15:52:13.197621 0.000118 ... 74756818.181818 \n", "2014-07-15 15:52:43.202080 0.000118 ... 74756818.181818 \n", "2014-07-15 15:53:13.205981 0.000118 ... 74756818.181818 \n", "2014-07-15 15:53:43.210404 0.000118 ... 74756818.181818 \n", "2014-07-15 15:54:13.214950 0.000118 ... 74756818.181818 \n", "2014-07-15 15:54:43.218046 0.000118 ... 74756818.181818 \n", "2014-07-15 15:55:13.220774 0.000118 ... 74756818.181818 \n", "2014-07-15 15:55:43.224040 0.000118 ... 74756818.181818 \n", "... ... ... ... \n", "2014-07-15 20:26:15.085519 0.000123 ... 70386455.384615 \n", "2014-07-15 20:26:45.089087 0.000123 ... 70386455.384615 \n", "2014-07-15 20:27:15.092071 0.000123 ... 70386455.384615 \n", "2014-07-15 20:27:45.096135 0.000123 ... 70386455.384615 \n", "2014-07-15 20:28:15.100407 0.000123 ... 70386455.384615 \n", "2014-07-15 20:28:45.103307 0.000123 ... 70386455.384615 \n", "2014-07-15 20:29:15.106069 0.000123 ... 70386455.384615 \n", "2014-07-15 20:29:45.107796 0.000123 ... 70386455.384615 \n", "2014-07-15 20:30:15.112105 0.000123 ... 70386455.384615 \n", "2014-07-15 20:30:45.113924 0.000123 ... 70386455.384615 \n", "2014-07-15 20:31:15.117823 0.000123 ... 70386455.384615 \n", "2014-07-15 20:31:45.120770 0.000123 ... 70386455.384615 \n", "2014-07-15 20:32:15.124022 0.000123 ... 70386455.384615 \n", "2014-07-15 20:32:45.127175 0.000123 ... 70386455.384615 \n", "2014-07-15 20:33:15.130906 0.000123 ... 70386455.384615 \n", "2014-07-15 20:33:45.134363 0.000123 ... 70386455.384615 \n", "2014-07-15 20:34:15.138175 0.000123 ... 69556859.653846 \n", "2014-07-15 20:34:45.142255 0.000123 ... 69556859.653846 \n", "2014-07-15 20:35:15.148041 0.000123 ... 69556859.653846 \n", "2014-07-15 20:35:45.152854 0.000123 ... 69556859.653846 \n", "2014-07-15 20:36:15.156235 0.000123 ... 69556859.653846 \n", "2014-07-15 20:36:45.159456 0.000123 ... 69556859.653846 \n", "2014-07-15 20:37:15.164041 0.000123 ... 69556859.653846 \n", "2014-07-15 20:37:45.166880 0.000123 ... 69556859.653846 \n", "2014-07-15 20:38:15.171130 0.000123 ... 69556859.653846 \n", "2014-07-15 20:38:45.173203 0.000123 ... 69556859.653846 \n", "2014-07-15 20:39:15.176979 0.000123 ... 69556859.653846 \n", "2014-07-15 20:39:45.181333 0.000123 ... 69556859.653846 \n", "2014-07-15 20:40:15.186681 0.000123 ... 69556859.653846 \n", "2014-07-15 20:40:45.191143 0.000123 ... 69556859.653846 \n", "\n", " \\\n", " 17 18 19 \n", "time \n", "2014-07-15 15:41:13.114352 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:41:43.117402 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:42:13.120544 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:42:43.126487 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:43:13.130686 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:43:43.133035 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:44:13.136201 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:44:43.140928 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:45:13.145862 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:45:43.154284 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:46:13.154102 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:46:43.156286 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:47:13.158993 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:47:43.162497 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:48:13.165570 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:48:43.168614 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:49:13.171451 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:49:43.173327 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:50:13.181247 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:50:43.183738 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:51:13.190051 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:51:43.193719 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:52:13.197621 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:52:43.202080 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:53:13.205981 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:53:43.210404 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:54:13.214950 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:54:43.218046 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:55:13.220774 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:55:43.224040 74756818.181818 74756818.181818 74756818.181818 \n", "... ... ... ... \n", "2014-07-15 20:26:15.085519 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:26:45.089087 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:27:15.092071 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:27:45.096135 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:28:15.100407 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:28:45.103307 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:29:15.106069 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:29:45.107796 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:30:15.112105 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:30:45.113924 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:31:15.117823 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:31:45.120770 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:32:15.124022 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:32:45.127175 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:33:15.130906 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:33:45.134363 70258974.358974 69556859.653846 69342917.179487 \n", "2014-07-15 20:34:15.138175 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:34:45.142255 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:35:15.148041 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:35:45.152854 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:36:15.156235 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:36:45.159456 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:37:15.164041 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:37:45.166880 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:38:15.171130 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:38:45.173203 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:39:15.176979 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:39:45.181333 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:40:15.186681 69342917.179487 69149539.897959 68755634.461538 \n", "2014-07-15 20:40:45.191143 69342917.179487 69149539.897959 68755634.461538 \n", "\n", " \\\n", " 20 21 22 \n", "time \n", "2014-07-15 15:41:13.114352 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:41:43.117402 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:42:13.120544 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:42:43.126487 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:43:13.130686 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:43:43.133035 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:44:13.136201 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:44:43.140928 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:45:13.145862 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:45:43.154284 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:46:13.154102 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:46:43.156286 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:47:13.158993 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:47:43.162497 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:48:13.165570 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:48:43.168614 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:49:13.171451 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:49:43.173327 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:50:13.181247 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:50:43.183738 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:51:13.190051 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:51:43.193719 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:52:13.197621 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:52:43.202080 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:53:13.205981 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:53:43.210404 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:54:13.214950 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:54:43.218046 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:55:13.220774 74756818.181818 74756818.181818 74756818.181818 \n", "2014-07-15 15:55:43.224040 74756818.181818 74756818.181818 74756818.181818 \n", "... ... ... ... \n", "2014-07-15 20:26:15.085519 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:26:45.089087 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:27:15.092071 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:27:45.096135 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:28:15.100407 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:28:45.103307 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:29:15.106069 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:29:45.107796 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:30:15.112105 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:30:45.113924 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:31:15.117823 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:31:45.120770 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:32:15.124022 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:32:45.127175 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:33:15.130906 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:33:45.134363 69342917.179487 69342917.179487 69342917.179487 \n", "2014-07-15 20:34:15.138175 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:34:45.142255 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:35:15.148041 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:35:45.152854 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:36:15.156235 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:36:45.159456 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:37:15.164041 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:37:45.166880 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:38:15.171130 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:38:45.173203 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:39:15.176979 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:39:45.181333 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:40:15.186681 68755634.461538 68755634.461538 68755634.461538 \n", "2014-07-15 20:40:45.191143 68755634.461538 68755634.461538 68755634.461538 \n", "\n", " \n", " 23 24 25 \n", "time \n", "2014-07-15 15:41:13.114352 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:41:43.117402 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:42:13.120544 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:42:43.126487 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:43:13.130686 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:43:43.133035 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:44:13.136201 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:44:43.140928 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:45:13.145862 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:45:43.154284 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:46:13.154102 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:46:43.156286 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:47:13.158993 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:47:43.162497 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:48:13.165570 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:48:43.168614 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:49:13.171451 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:49:43.173327 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:50:13.181247 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:50:43.183738 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:51:13.190051 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:51:43.193719 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:52:13.197621 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:52:43.202080 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:53:13.205981 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:53:43.210404 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:54:13.214950 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:54:43.218046 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:55:13.220774 74503026.051282 74503026.051282 66858856.704545 \n", "2014-07-15 15:55:43.224040 74503026.051282 74503026.051282 66858856.704545 \n", "... ... ... ... \n", "2014-07-15 20:26:15.085519 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:26:45.089087 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:27:15.092071 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:27:45.096135 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:28:15.100407 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:28:45.103307 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:29:15.106069 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:29:45.107796 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:30:15.112105 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:30:45.113924 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:31:15.117823 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:31:45.120770 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:32:15.124022 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:32:45.127175 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:33:15.130906 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:33:45.134363 69149539.897959 69149539.897959 64172409.692308 \n", "2014-07-15 20:34:15.138175 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:34:45.142255 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:35:15.148041 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:35:45.152854 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:36:15.156235 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:36:45.159456 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:37:15.164041 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:37:45.166880 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:38:15.171130 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:38:45.173203 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:39:15.176979 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:39:45.181333 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:40:15.186681 68125813.364486 68125813.364486 64102564.102564 \n", "2014-07-15 20:40:45.191143 68125813.364486 68125813.364486 64102564.102564 \n", "\n", "[600 rows x 52 columns]" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Save a copy of data in the spirit of [reproducible science](http://en.wikipedia.org/wiki/Reproducibility)\n", "\n", "You can load and work with it independently via [PyTables](http://www.pytables.org) in the following way:\n", "\n", " >>> import tables\n", " >>> tbl = tables.open_file(\"estimatefee.hdf5\")\n", " >>> data = tbl.getNode(\"/txfee/table\")\n", " >>> print data.coldescrs\n", " {\n", " 'index': Int64Col(shape=(), dflt=0, pos=0),\n", " 'values_block_1': Int64Col(shape=(2,), dflt=0, pos=2),\n", " 'values_block_0': Float64Col(shape=(25,), dflt=0.0, pos=1)\n", " }" ] }, { "cell_type": "code", "collapsed": false, "input": [ "timestamp = datetime.utcnow().strftime(\"%Y%m%d_%H%M\")\n", "data.to_hdf(\"float_fee_%s.hdf5\" % timestamp,\n", " \"txfee\",\n", " mode=\"w\",\n", " format=\"table\",\n", " complevel=5, complib=\"blosc\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Plots and Statistics\n", "\n", "Reload it (not necessary)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "!ls -1 *.hdf5" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "float_fee_20140712.hdf5\r\n", "float_fee_20140713_2054.hdf5\r\n", "float_fee_20140715_2056.hdf5\r\n" ] } ], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "data = pd.read_hdf(\"float_fee_20140715_2056.hdf5\", \"txfee\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Estimated Fees over Time\n", "\n", "This shows, that every time a new block has been found, the numbers change. The goal of analyzing this would be to estimate it's variance, search for trends (hourly, daily, weekly) and correlate this with external factors like UTC-time, workday vs. weekend vs. holidy, number of pending transactions, etc." ] }, { "cell_type": "code", "collapsed": false, "input": [ "bc = data[\"info\", \"blockcount\"]\n", "diffs = bc.diff()\n", "# just an offset by one to make it look better\n", "diffs = diffs.shift(-1)\n", "# get the timestamps where new blocks have been found\n", "new_block_times = bc[diffs > 0].index" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "ef = data.estimate_fee\n", "ymax = ef.values.max()*1.1\n", "ax = ef.plot(legend=False, colormap=\"copper\", lw=2, ylim=(0, ymax))\n", "ax.vlines(new_block_times, 0, ymax, color=\"green\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "" ] }, { 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lyzXbhrSrvWPfJYV9Lcp5fqOq5PaUsm12z6g1BAA0NiZ5NdS+KZ3/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\nJnlNjs8q8aKnFz296OlFTx9aetHTi55e9AwHkzw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"text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mempool Size over Time\n", "\n", "New blocks are indicated by the green vertical lines. Most notably, there is a fixed baseline of transactions, which are probably never gonna to be confirmed." ] }, { "cell_type": "code", "collapsed": false, "input": [ "mps = data[\"info\", \"mempool_size\"]\n", "ax = mps.plot(ylim=0)\n", "ax.vlines(new_block_times, 0, mps.values.max()*1.1, color=\"green\")\n", "_ = plt.ylabel(\"Mempool size\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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6SRbvAw7w0EhI32+3blKwPQjU1VPQJ6GSQpT81vOBIOVZViaKX6TxWMC9kMbn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\nSk6Nnqe7CjdwL5Znqs3z3ntzbyun8Esmrc1s0qRoxxiLMgrol16CpUs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qhVmko+D5WaDV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1+fB4wFdmAjhS/TWyyKiIiIiIhIEbUe8bsfeAL4enDdfsC64Ot1wWWAA4HVafddDRwUwzHuktRn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\n8CTWhphO5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"text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overlay of all profiles for targeting 1 to 25 blocks" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig = plt.figure()\n", "for line in data.estimate_fee.iterrows():\n", " plt.plot(line[1:][0], color=\"k\", alpha=.01)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "q = [0., .1, .25, .5, .75, .9, 1.]\n", "quantiles = data.estimate_fee.quantile(q).T\n", "print quantiles\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot(1,1,1)\n", "qax = ax.matshow(quantiles.as_matrix().T, interpolation='nearest')\n", "fig.colorbar(qax, shrink=.5)\n", "ax.set_yticklabels([''] + q)\n", "ax.set_xticklabels([''] + list(quantiles.index.tolist()))\n", "\n", "quantiles.plot(colormap=\"brg\")\n", "_ = plt.title(\"Quantiles at %s\" % q)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " 0.00 0.10 0.25 0.50 0.75 0.90 1.00\n", "1 0.000456 0.000456 0.000456 0.000456 0.000457 0.000457 0.000457\n", "2 0.000442 0.000442 0.000442 0.000442 0.000442 0.000442 0.000442\n", "3 0.000388 0.000388 0.000388 0.000388 0.000388 0.000388 0.000388\n", "4 0.000248 0.000267 0.000267 0.000267 0.000268 0.000268 0.000268\n", "5 0.000149 0.000162 0.000162 0.000164 0.000171 0.000172 0.000175\n", "6 0.000124 0.000125 0.000125 0.000128 0.000130 0.000131 0.000131\n", "7 0.000121 0.000123 0.000123 0.000123 0.000124 0.000124 0.000124\n", "8 0.000118 0.000118 0.000121 0.000123 0.000123 0.000123 0.000123\n", "9 0.000116 0.000118 0.000118 0.000121 0.000121 0.000122 0.000122\n", "10 0.000115 0.000116 0.000118 0.000118 0.000120 0.000121 0.000121\n", "11 0.000114 0.000115 0.000116 0.000118 0.000118 0.000118 0.000118\n", "12 0.000113 0.000114 0.000115 0.000116 0.000118 0.000118 0.000118\n", "13 0.000113 0.000114 0.000115 0.000116 0.000118 0.000118 0.000118\n", "14 0.000113 0.000114 0.000114 0.000116 0.000116 0.000118 0.000118\n", "15 0.000113 0.000114 0.000114 0.000115 0.000115 0.000116 0.000118\n", "16 0.000113 0.000113 0.000113 0.000114 0.000115 0.000115 0.000116\n", "17 0.000113 0.000113 0.000113 0.000114 0.000115 0.000115 0.000116\n", "18 0.000112 0.000113 0.000113 0.000114 0.000114 0.000115 0.000115\n", "19 0.000105 0.000107 0.000112 0.000113 0.000113 0.000114 0.000114\n", "20 0.000104 0.000105 0.000110 0.000113 0.000113 0.000113 0.000114\n", "21 0.000104 0.000105 0.000108 0.000112 0.000113 0.000113 0.000113\n", "22 0.000104 0.000104 0.000105 0.000110 0.000112 0.000112 0.000112\n", "23 0.000104 0.000104 0.000104 0.000108 0.000110 0.000110 0.000112\n", "24 0.000104 0.000104 0.000104 0.000104 0.000107 0.000107 0.000108\n", "25 0.000044 0.000044 0.000044 0.000044 0.000044 0.000044 0.000044\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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BBRcwevRounbtyqJFi0hNTWXx4sUAnHzyydx4440cf/zxpKWl0alTJ+68885QY/eKn1SF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\nFj8REREREem4W//hlxxyzlGc+88DXHnqUzxWHaLPPr/F6rfHzljHrxs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"text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Estimating priority for targeted number of blocks\n", "\n", "\u2026" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ep = data.estimate_priority\n", "ymin, ymax = ep.values.min()*.5, ep.values.max()*2\n", "ax = ep.plot(legend=False, colormap=\"copper\", ylim=(ymin, ymax), lw=2, logy=True)\n", "ax.vlines(new_block_times, ymin, ymax, color=\"green\")\n", "_ = plt.ylabel(\"Priority\")\n", "_ = plt.title(\"Priority, logarithmic\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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DlrbI0xZ52iJPW+RpizztkKUt8gxGsemdL3b/f5PSZ/cyfzaUeFwAAAAAAAPF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\nr6qmNrjCb/QvR2vJN9MXlf/Hiy/pmKM/GFjfpZR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