{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "data = np.genfromtxt('zcash-sprout-data-805518.csv', delimiter=',', skip_header=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "COIN = 100000000\n",
    "\n",
    "def sum_chunk(x, chunk_size, axis=-1):\n",
    "    shape = x.shape\n",
    "    if axis < 0:\n",
    "        axis += x.ndim\n",
    "    shape = shape[:axis] + (-1, chunk_size) + shape[axis+1:]\n",
    "    x = x.reshape(shape)\n",
    "    return x.sum(axis=axis+1)\n",
    "\n",
    "from_height = 0\n",
    "to_height = 805000\n",
    "chunk = 1000\n",
    "\n",
    "# Slice the heights\n",
    "height = sum_chunk(data[from_height:to_height,0], chunk)\n",
    "\n",
    "num_types = sum_chunk(data[from_height:to_height,1:4].transpose(), chunk)\n",
    "percent_types = num_types /  num_types.sum(axis=0).astype(float) * 100\n",
    "\n",
    "value_shielded = data[from_height:to_height,7]\n",
    "value_unshielded = data[from_height:to_height,10]\n",
    "print(value_shielded.max() / COIN)\n",
    "print(value_unshielded.max() / COIN)\n",
    "\n",
    "value_shielded = sum_chunk(value_shielded, chunk)\n",
    "value_unshielded = sum_chunk(value_unshielded, chunk)\n",
    "\n",
    "# Rescale for chunk size\n",
    "height = height / chunk\n",
    "num_types = num_types / chunk\n",
    "value_shielded = value_shielded / (chunk * COIN)\n",
    "value_unshielded = value_unshielded / (chunk * COIN)\n",
    "\n",
    "# Select the types char\n",
    "chart_types = num_types.transpose()\n",
    "\n",
    "sprout = chart_types[:,2]\n",
    "sapling = chart_types[:,1]\n",
    "transparent = chart_types[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "\n",
    "ax.stackplot(height, sprout, sapling, transparent, labels=['Involves Sprout', 'Sapling + Transparent', 'Transparent-only'])\n",
    "ax.set_title('Transaction types mined in the Zcash main chain')\n",
    "ax.set_xlabel('Height')\n",
    "ax.set_ylabel('Transactions per block (%d-block average)' % chunk)\n",
    "ax.legend(loc='upper right')\n",
    "ax.grid()\n",
    "# ax.set_yscale('log')\n",
    "plt.xticks(rotation=45)\n",
    "plt.margins(x=0)\n",
    "plt.savefig('tx-types-%d-%d-%d.png' % (from_height, to_height, chunk))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "\n",
    "ax.fill_between(height, value_shielded, label='Shielding')\n",
    "ax.fill_between(height, value_unshielded * -1, label='Unshielding')\n",
    "ax.set_title('ZEC moving into and out of the Sprout value pool')\n",
    "ax.set_xlabel('Height')\n",
    "ax.set_ylabel('ZEC amount (%d-block average)' % chunk)\n",
    "# ax.set_ylim(-1, 1)\n",
    "ax.legend(loc='lower right')\n",
    "ax.grid()\n",
    "plt.xticks(rotation=45)\n",
    "plt.margins(x=0)\n",
    "plt.savefig('tx-values-%d-%d-%d.png' % (from_height, to_height, chunk))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}