Add Jupyter notebooks for making graphs for zcash/zcash#4467
This commit is contained in:
Jack Grigg
parent
de5dea74b0
commit
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from matplotlib import pyplot as plt\n",
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"%matplotlib inline\n",
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"\n",
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"import numpy as np\n",
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"\n",
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"data = np.genfromtxt('zcash-shielded-data-811497.csv', delimiter=',', skip_header=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"COIN = 100000000\n",
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"\n",
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"def sum_chunk(x, chunk_size, axis=-1):\n",
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" shape = x.shape\n",
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" if axis < 0:\n",
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" axis += x.ndim\n",
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" shape = shape[:axis] + (-1, chunk_size) + shape[axis+1:]\n",
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" x = x.reshape(shape)\n",
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" return x.sum(axis=axis+1)\n",
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"\n",
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"from_height = 720000\n",
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"to_height = 811000\n",
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"chunk = 1000\n",
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"\n",
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"# Slice the heights\n",
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"height = sum_chunk(data[from_height:to_height,0], chunk)\n",
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"\n",
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"num_types = sum_chunk(data[from_height:to_height,1:4].transpose(), chunk)\n",
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"percent_types = num_types / num_types.sum(axis=0).astype(float) * 100\n",
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"\n",
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"num_migrating = data[from_height:to_height,10]\n",
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"num_mixed = data[from_height:to_height,9] - num_migrating\n",
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"num_shielding = data[from_height:to_height,5]\n",
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"num_unshielding = data[from_height:to_height,6] - num_migrating - num_mixed\n",
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"num_shielded = data[from_height:to_height,3] - data[from_height:to_height,5] - data[from_height:to_height,6]\n",
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"\n",
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"num_shielded = sum_chunk(num_shielded, chunk)\n",
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"num_shielding = sum_chunk(num_shielding, chunk)\n",
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"num_unshielding = sum_chunk(num_unshielding, chunk)\n",
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"num_mixed = sum_chunk(num_mixed, chunk)\n",
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"num_migrating = sum_chunk(num_migrating, chunk)\n",
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"\n",
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"# percent_split = num_split / num_split.sum(axis=0).astype(float) * 100\n",
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"\n",
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"sprout_shielded = data[from_height:to_height,11]\n",
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"sapling_shielded = data[from_height:to_height,12]\n",
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"sprout_unshielded = data[from_height:to_height,13]\n",
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"sapling_unshielded = data[from_height:to_height,14]\n",
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"print(sprout_shielded.max() / COIN)\n",
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"print(sprout_unshielded.max() / COIN)\n",
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"print(sapling_shielded.max() / COIN)\n",
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"print(sapling_unshielded.max() / COIN)\n",
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"\n",
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"sprout_shielded = sum_chunk(sprout_shielded, chunk)\n",
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"sprout_unshielded = sum_chunk(sprout_unshielded, chunk)\n",
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"sapling_shielded = sum_chunk(sapling_shielded, chunk)\n",
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"sapling_unshielded = sum_chunk(sapling_unshielded, chunk)\n",
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"\n",
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"# Rescale for chunk size\n",
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"height = height / chunk\n",
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"num_types = num_types / chunk\n",
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"num_shielded = num_shielded / chunk\n",
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"num_shielding = num_shielding / chunk\n",
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"num_unshielding = num_unshielding / chunk\n",
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"num_mixed = num_mixed / chunk\n",
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"num_migrating = num_migrating / chunk\n",
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"sprout_shielded = sprout_shielded / (chunk * COIN)\n",
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"sprout_unshielded = sprout_unshielded / (chunk * COIN)\n",
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"sapling_shielded = sapling_shielded / (chunk * COIN)\n",
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"sapling_unshielded = sapling_unshielded / (chunk * COIN)\n",
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"\n",
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"# Select the types char\n",
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"chart_types = num_types.transpose()\n",
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"\n",
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"sprout = chart_types[:,2]\n",
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"sapling = chart_types[:,1]\n",
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"transparent = chart_types[:,0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure(figsize=(8,6))\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"\n",
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"ax.stackplot(height, sprout, sapling, transparent, labels=['Involves Sprout', 'Sapling + Transparent', 'Transparent-only'])\n",
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"ax.set_title('Transaction types mined in the Zcash main chain')\n",
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"ax.set_xlabel('Height')\n",
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"ax.set_ylabel('Transactions per block (%d-block average)' % chunk)\n",
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"ax.legend(loc='upper right')\n",
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"ax.grid()\n",
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"ax.set_yscale('log')\n",
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"plt.xticks(rotation=45)\n",
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"plt.margins(x=0)\n",
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"plt.savefig('tx-types-%d-%d-%d.png' % (from_height, to_height, chunk))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure(figsize=(8,6))\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"\n",
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"# ax.fill_between(height, sprout_shielded, label='Sprout Shielding')\n",
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"# ax.fill_between(height, sprout_unshielded * -1, label='Sprout Unshielding')\n",
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"# ax.fill_between(height, sapling_shielded, label='Sprout Shielding')\n",
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"# ax.fill_between(height, sapling_unshielded * -1, label='Sprout Unshielding')\n",
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"ax.stackplot(height, sprout_shielded, sapling_shielded, labels=['Sprout Shielding', 'Sapling Shielding'])\n",
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"ax.stackplot(height, sprout_unshielded * -1, sapling_unshielded * -1, labels=['Sprout Unshielding', 'Sapling Unshielding'])\n",
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"\n",
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"ax.set_title('ZEC moving into and out of the shielded value pools')\n",
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"ax.set_xlabel('Height')\n",
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"ax.set_ylabel('ZEC amount (%d-block average)' % chunk)\n",
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"# ax.set_ylim(-10, 10)\n",
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"ax.legend(loc='lower right')\n",
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"ax.grid()\n",
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"plt.xticks(rotation=45)\n",
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"plt.margins(x=0)\n",
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"plt.savefig('tx-values-%d-%d-%d.png' % (from_height, to_height, chunk))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure(figsize=(8,6))\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"\n",
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"ax.stackplot(height, num_mixed, num_migrating, num_shielded, num_unshielding, num_shielding, labels=['Mixed', 'Migrating', 'Shielded', 'Unshielding', 'Shielding'])\n",
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"ax.set_title('Sprout transaction types mined in the Zcash main chain')\n",
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"ax.set_xlabel('Height')\n",
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"ax.set_ylabel('Transactions per block (%d-block average)' % chunk)\n",
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"ax.legend(loc='upper right')\n",
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"ax.grid()\n",
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"# ax.set_yscale('log')\n",
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"plt.xticks(rotation=45)\n",
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"plt.margins(x=0)\n",
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"plt.savefig('tx-sprout-splits-%d-%d-%d.png' % (from_height, to_height, chunk))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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@ -0,0 +1,137 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from matplotlib import pyplot as plt\n",
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"%matplotlib inline\n",
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"\n",
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"import numpy as np\n",
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"\n",
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"data = np.genfromtxt('zcash-sprout-data-805518.csv', delimiter=',', skip_header=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"COIN = 100000000\n",
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"\n",
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"def sum_chunk(x, chunk_size, axis=-1):\n",
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" shape = x.shape\n",
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" if axis < 0:\n",
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" axis += x.ndim\n",
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" shape = shape[:axis] + (-1, chunk_size) + shape[axis+1:]\n",
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" x = x.reshape(shape)\n",
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" return x.sum(axis=axis+1)\n",
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"\n",
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"from_height = 0\n",
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"to_height = 805000\n",
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"chunk = 1000\n",
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"\n",
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"# Slice the heights\n",
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"height = sum_chunk(data[from_height:to_height,0], chunk)\n",
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"\n",
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"num_types = sum_chunk(data[from_height:to_height,1:4].transpose(), chunk)\n",
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"percent_types = num_types / num_types.sum(axis=0).astype(float) * 100\n",
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"\n",
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"value_shielded = data[from_height:to_height,7]\n",
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"value_unshielded = data[from_height:to_height,10]\n",
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"print(value_shielded.max() / COIN)\n",
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"print(value_unshielded.max() / COIN)\n",
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"\n",
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"value_shielded = sum_chunk(value_shielded, chunk)\n",
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"value_unshielded = sum_chunk(value_unshielded, chunk)\n",
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"\n",
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"# Rescale for chunk size\n",
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"height = height / chunk\n",
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"num_types = num_types / chunk\n",
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"value_shielded = value_shielded / (chunk * COIN)\n",
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"value_unshielded = value_unshielded / (chunk * COIN)\n",
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"\n",
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"# Select the types char\n",
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"chart_types = num_types.transpose()\n",
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"\n",
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"sprout = chart_types[:,2]\n",
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"sapling = chart_types[:,1]\n",
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"transparent = chart_types[:,0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure(figsize=(8,6))\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"\n",
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"ax.stackplot(height, sprout, sapling, transparent, labels=['Involves Sprout', 'Sapling + Transparent', 'Transparent-only'])\n",
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"ax.set_title('Transaction types mined in the Zcash main chain')\n",
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"ax.set_xlabel('Height')\n",
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"ax.set_ylabel('Transactions per block (%d-block average)' % chunk)\n",
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"ax.legend(loc='upper right')\n",
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"ax.grid()\n",
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"# ax.set_yscale('log')\n",
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"plt.xticks(rotation=45)\n",
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"plt.margins(x=0)\n",
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"plt.savefig('tx-types-%d-%d-%d.png' % (from_height, to_height, chunk))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure(figsize=(8,6))\n",
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"ax = fig.add_subplot(1, 1, 1)\n",
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"\n",
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"ax.fill_between(height, value_shielded, label='Shielding')\n",
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"ax.fill_between(height, value_unshielded * -1, label='Unshielding')\n",
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"ax.set_title('ZEC moving into and out of the Sprout value pool')\n",
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"ax.set_xlabel('Height')\n",
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"ax.set_ylabel('ZEC amount (%d-block average)' % chunk)\n",
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"# ax.set_ylim(-1, 1)\n",
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"ax.legend(loc='lower right')\n",
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"ax.grid()\n",
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"plt.xticks(rotation=45)\n",
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"plt.margins(x=0)\n",
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"plt.savefig('tx-values-%d-%d-%d.png' % (from_height, to_height, chunk))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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