diff options
Diffstat (limited to 'datasets/Talluri2021/other notebooks/5.covid period comparison.ipynb')
| -rw-r--r-- | datasets/Talluri2021/other notebooks/5.covid period comparison.ipynb | 229 |
1 files changed, 229 insertions, 0 deletions
diff --git a/datasets/Talluri2021/other notebooks/5.covid period comparison.ipynb b/datasets/Talluri2021/other notebooks/5.covid period comparison.ipynb new file mode 100644 index 0000000..15eaf77 --- /dev/null +++ b/datasets/Talluri2021/other notebooks/5.covid period comparison.ipynb @@ -0,0 +1,229 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from plotnine import *" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "or_events = pd.read_parquet('./outage_report_2019-20')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "filtered_or_events = or_events[(or_events['vendor'] != '') & (or_events['vendor'] != 'overview')].reset_index(drop=True)\n", + "filtered_or_events = filtered_or_events.drop_duplicates(subset=['vendor', 'event_time', 'status_code'])\n", + "# Combine events with the same event_time, but different status_code with max\n", + "filtered_or_events = filtered_or_events.groupby(['vendor', 'event_time'])['status_code'].max().reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "filtered_or_events['evtime'] = pd.to_datetime(filtered_or_events['event_time'], unit='s')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def proper_vendor_names(series):\n", + " return series.str.capitalize().replace(['Apple-servers', 'Facebook-messenger', 'Youtube'], ['Apple', 'FB Msgr', 'YouTube'])\n", + "\n", + "filtered_or_events['vendor_proper'] = proper_vendor_names(filtered_or_events['vendor'])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Apple',\n", + " 'Github',\n", + " 'Skype',\n", + " 'FB Msgr',\n", + " 'Gmail',\n", + " 'Whatsapp',\n", + " 'Snapchat',\n", + " 'Netflix',\n", + " 'Facebook',\n", + " 'Twitter',\n", + " 'YouTube',\n", + " 'Instagram']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vendor_list = list(filtered_or_events.groupby('vendor_proper')['status_code'].sum().reset_index().rename(columns={'status_code':'count'}).sort_values('count')['vendor_proper'])\n", + "vendor_list" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "filtered_or_events['year'] = pd.Categorical(filtered_or_events['evtime'].dt.year, ordered=True)\n", + "filtered_or_events['month'] = pd.Categorical(filtered_or_events['evtime'].dt.month, ordered=True)\n", + "filtered_or_events['vendor_cat'] = pd.Categorical(filtered_or_events['vendor_proper'], ordered=True, categories=vendor_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "367336.0" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reports_per_month = filtered_or_events.groupby(['year', 'month', 'vendor_cat'])['status_code'].sum().reset_index().rename(columns={'status_code':'count'})\n", + "subset_reports_per_month = reports_per_month[(reports_per_month['month'] > 3) & (reports_per_month['month'] < 9)]\n", + "subset_reports_per_month['count'].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "report_count_df_list = []\n", + "\n", + "for vendor in subset_reports_per_month['vendor_cat'].unique():\n", + " partial_df = subset_reports_per_month[subset_reports_per_month['vendor_cat'] == vendor].reset_index(drop=True)\n", + " max_reports = partial_df['count'].max()\n", + " partial_df['prop'] = partial_df['count'] / max_reports\n", + " report_count_df_list.append(partial_df)\n", + " \n", + "reports_per_month_with_prop = pd.concat(report_count_df_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/sacheendra/miniconda3/envs/thesis/lib/python3.8/site-packages/plotnine/ggplot.py:727: PlotnineWarning: Saving 14 x 3 in image.\n", + "/Users/sacheendra/miniconda3/envs/thesis/lib/python3.8/site-packages/plotnine/ggplot.py:730: PlotnineWarning: Filename: plots/covid_comparison.pdf\n", + "/Users/sacheendra/miniconda3/envs/thesis/lib/python3.8/site-packages/plotnine/layer.py:467: PlotnineWarning: geom_bar : Removed 1 rows containing missing values.\n", + "/Users/sacheendra/miniconda3/envs/thesis/lib/python3.8/site-packages/plotnine/layer.py:467: PlotnineWarning: geom_bar : Removed 1 rows containing missing values.\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 1400x300 with 12 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "<ggplot: (323781768)>" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vendor_maxes = reports_per_month_with_prop.groupby('vendor_cat')['count'].max()\n", + "\n", + "def label_func(vendor):\n", + " if vendor == 'Apple':\n", + " return vendor + ' (max={:,})'.format(int(vendor_maxes.loc[vendor]))\n", + " else:\n", + " return vendor + ' ({:,})'.format(int(vendor_maxes.loc[vendor]))\n", + "\n", + "plt = ggplot(reports_per_month_with_prop) +\\\n", + " theme_classic(base_size=12, base_family='sans-serif') +\\\n", + " theme(figure_size=(14, 3),\n", + " axis_text_y=element_text(margin={'r': 5}),\n", + " panel_grid_minor_x=element_line(size=0.7, color=\"gainsboro\"),\n", + " panel_grid_major_x=element_blank(),\n", + " text=element_text(size=12),\n", + " legend_box_spacing=0.01,\n", + " legend_box_margin=0,\n", + " legend_margin=0,\n", + " legend_key=element_blank(),\n", + " legend_entry_spacing=5,\n", + " legend_background=element_rect(fill=(0,0,0,0), color=(0,0,0,0)),\n", + " legend_position='top',) +\\\n", + " facet_wrap(facets='vendor_cat', nrow=2, labeller=label_func) +\\\n", + " geom_bar(aes(x='month', y='prop', fill='year'), stat='identity', position='dodge') +\\\n", + " scale_fill_manual(['#0280c9', '#78d8da']) +\\\n", + " guides(fill=guide_legend(title='')) +\\\n", + " xlab('Month') +\\\n", + " ylab('Normalized reports/month')\n", + "\n", + "plt.save('plots/covid_comparison.pdf', limitsize=False)\n", + "plt" + ] + } + ], + "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": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} |