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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,147 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 1, | ||
| "id": "4dbcf4e7", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import ipywidgets as widgets\n", | ||
| "from ipywidgets import interact, Layout\n", | ||
| "import plotly.express as px\n", | ||
| "import pandas as pd\n", | ||
| "import numpy as np\n", | ||
| "import os\n", | ||
| "\n", | ||
| "# Plotting imports\n", | ||
| "import plotly.graph_objects as go\n", | ||
| "from plotly.subplots import make_subplots\n", | ||
| "\n", | ||
| "import plotly.io as pio\n", | ||
| "PAPER_LAYOUT=dict(font=dict(family=\"Computer Modern\", size=18),\n", | ||
| " margin=dict(t=40))\n", | ||
| "pio.templates[\"paper\"] = go.layout.Template(layout=PAPER_LAYOUT)\n", | ||
| "pio.templates.default = \"paper\"\n", | ||
| "\n", | ||
| "def chunks(lst, n):\n", | ||
| " for i in range(0, len(lst), n):\n", | ||
| " yield lst[i:i + n]\n", | ||
| " " | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 2, | ||
| "id": "3998d12c", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "path = '../resource_files/grid'\n", | ||
| "\n", | ||
| "options = os.listdir(path)\n", | ||
| "data = [pd.read_csv(os.path.join(path, file), header=None)[0] for file in options]\n", | ||
| "\n", | ||
| "def dayPlot(x):\n", | ||
| " idx = options.index(x)\n", | ||
| " xvals = np.arange(24)\n", | ||
| " y = data[idx]\n", | ||
| " s = None\n", | ||
| " \n", | ||
| " fig = go.Figure()\n", | ||
| " \n", | ||
| " for chunk in chunks(y, 24):\n", | ||
| " d = np.array(chunk, ndmin=2)\n", | ||
| " \n", | ||
| " if s is None:\n", | ||
| " s = d \n", | ||
| " else:\n", | ||
| " s = np.concatenate([s, d], axis=0)\n", | ||
| " \n", | ||
| " fig.add_trace(go.Scatter(x=xvals, y=chunk, line=dict(color='gray'), showlegend=False))\n", | ||
| " \n", | ||
| " fig.add_trace(go.Scatter(x=xvals, y=s.min(axis=0), line=dict(color='black', dash='dash'), showlegend=False))\n", | ||
| " fig.add_trace(go.Scatter(x=xvals, y=s.max(axis=0), line=dict(color='black', dash='dash'), showlegend=False))\n", | ||
| " fig.add_trace(go.Scatter(x=xvals, y=s.mean(axis=0), line=dict(color='black'), showlegend=False))\n", | ||
| " \n", | ||
| " fig.update_layout(title=x)\n", | ||
| " fig.show()\n", | ||
| " \n", | ||
| " for i in range(2):\n", | ||
| " print('hour', ''.join([f\"{i:7.0f}\" for i in xvals[i*12:12+i*12]]))\n", | ||
| " print(' max', ''.join([f\"{i:7.0f}\" for i in s[:,i*12:12+i*12].max(axis=0)]))\n", | ||
| " print('mean', ''.join([f\"{i:7.0f}\" for i in s[:,i*12:12+i*12].mean(axis=0)]))\n", | ||
| "# print('mode', ''.join([f\"{i:7.0f}\" for i in s[:,i*12:12+i*12].mode(axis=0)]))\n", | ||
| " print(' min', ''.join([f\"{i:7.0f}\" for i in s[:,i*12:12+i*12].min(axis=0)]))\n", | ||
| " print()\n", | ||
| " " | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 3, | ||
| "id": "34ade27e", | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "f3a2047c82ae4733aff8ad6a6cddad5a", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "interactive(children=(Dropdown(description='x', options=('pricing-data-2020-IronMtn-002.csv', 'test_prices.csv…" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| }, | ||
| { | ||
| "data": { | ||
| "text/plain": [ | ||
| "<function __main__.dayPlot(x)>" | ||
| ] | ||
| }, | ||
| "execution_count": 3, | ||
| "metadata": {}, | ||
| "output_type": "execute_result" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "interact(dayPlot, x=options) #('test_prices.csv')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "ca3ac299", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "[np.isnan(d).sum() for d in data]" | ||
| ] | ||
| } | ||
| ], | ||
| "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": "3.8.10" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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