{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 案例:2009年英国国会议员开支丑闻\n", "\n", "\n", "MPs expenses scandal \n", "\n", "https://github.com/data-journalism/data-journalism.github.io/discussions/54\n" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:26:21.893773Z", "start_time": "2021-10-24T04:26:21.558486Z" } }, "outputs": [], "source": [ "import pandas as pd\n", "\n", "import pylab as plt\n", "\n", "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei'] # 用来正常显示中文标签\n", "plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号, 注意['SimHei']对应这句不行.\n", "plt.style.use('ggplot')\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T03:44:20.129275Z", "start_time": "2021-10-24T03:44:19.998948Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MPs' expenses claims, Jul-Dec, 2009.xlsx\r\n", "\u001b[31mdata.js\u001b[m\u001b[m*\r\n" ] } ], "source": [ "ls './data/'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T03:44:57.076097Z", "start_time": "2021-10-24T03:44:52.119802Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Name of memberAllowance TypeExpenditure TypeDateAmount, £
0Adam AfriyieOffice running costs (IEP/AOE)Incidentals2009-07-03 00:00:00111.09
1Adam AfriyieOffice running costs (IEP/AOE)Incidentals2009-11-05 00:00:00111.09
2Adam AfriyieOffice running costs (IEP/AOE)Incidentals2009-11-05 00:00:0051.75
3Adam HollowayCommunications ExpenditureDelivery charges2009-11-10 00:00:00258.22
4Adam HollowayCommunications ExpenditureDelivery charges2009-12-10 00:00:00879.66
\n", "
" ], "text/plain": [ " Name of member Allowance Type Expenditure Type \\\n", "0 Adam Afriyie Office running costs (IEP/AOE) Incidentals \n", "1 Adam Afriyie Office running costs (IEP/AOE) Incidentals \n", "2 Adam Afriyie Office running costs (IEP/AOE) Incidentals \n", "3 Adam Holloway Communications Expenditure Delivery charges \n", "4 Adam Holloway Communications Expenditure Delivery charges \n", "\n", " Date Amount, £ \n", "0 2009-07-03 00:00:00 111.09 \n", "1 2009-11-05 00:00:00 111.09 \n", "2 2009-11-05 00:00:00 51.75 \n", "3 2009-11-10 00:00:00 258.22 \n", "4 2009-12-10 00:00:00 879.66 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_excel(\"./data/MPs' expenses claims, Jul-Dec, 2009.xlsx\")\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T03:59:58.065898Z", "start_time": "2021-10-24T03:59:58.061704Z" } }, "outputs": [ { "data": { "text/plain": [ "Index(['Name of member', 'Allowance Type', 'Expenditure Type', 'Date',\n", " 'Amount, £'],\n", " dtype='object')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T03:45:03.100896Z", "start_time": "2021-10-24T03:45:03.097141Z" } }, "outputs": [ { "data": { "text/plain": [ "38925" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T03:45:11.904373Z", "start_time": "2021-10-24T03:45:11.745330Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Name of memberAllowance TypeExpenditure TypeDateAmount, £
count3892538925389253892538925
unique64353914014441
topDanny AlexanderOffice running costs (IEP/AOE)Incidentals2009-12-21 00:00:0050
freq173257878672828857
\n", "
" ], "text/plain": [ " Name of member Allowance Type Expenditure Type \\\n", "count 38925 38925 38925 \n", "unique 643 5 39 \n", "top Danny Alexander Office running costs (IEP/AOE) Incidentals \n", "freq 173 25787 8672 \n", "\n", " Date Amount, £ \n", "count 38925 38925 \n", "unique 140 14441 \n", "top 2009-12-21 00:00:00 50 \n", "freq 828 857 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 清洗数据" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:21:28.478254Z", "start_time": "2021-10-24T04:21:28.467143Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Name of memberAllowance TypeExpenditure TypeDateAmount, £
27710Member NameAllowance TypeExpenditure TypeDateAmount
\n", "
" ], "text/plain": [ " Name of member Allowance Type Expenditure Type Date Amount, £\n", "27710 Member Name Allowance Type Expenditure Type Date Amount" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['Amount, £']=='Amount']" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:21:42.466877Z", "start_time": "2021-10-24T04:21:42.458764Z" } }, "outputs": [], "source": [ "df = df[df['Amount, £']!='Amount']\n" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:21:48.850815Z", "start_time": "2021-10-24T04:21:48.839151Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Name of memberAllowance TypeExpenditure TypeDateAmount, £
22221John RandallOffice running costs (IEP/AOE)Accommodation costs2009-08-20 00:00:00-2134
22222John RandallOffice running costs (IEP/AOE)Other equipment lease2009-07-01 00:00:0025.08
\n", "
" ], "text/plain": [ " Name of member Allowance Type Expenditure Type \\\n", "22221 John Randall Office running costs (IEP/AOE) Accommodation costs \n", "22222 John Randall Office running costs (IEP/AOE) Other equipment lease \n", "\n", " Date Amount, £ \n", "22221 2009-08-20 00:00:00 -2134 \n", "22222 2009-07-01 00:00:00 25.08 " ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['Name of member']=='John Randall']" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:21:51.351769Z", "start_time": "2021-10-24T04:21:51.332624Z" } }, "outputs": [], "source": [ "df['Amount, £'] = [abs(float(i)) for i in df['Amount, £']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 描述数据" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:01:48.554576Z", "start_time": "2021-10-24T04:01:48.458532Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Amount, £
Name of member
Adam Afriyie273.93
Adam Holloway7415.06
Adam Ingram18578.90
Adam Price7874.73
Adrian Bailey10668.61
......
William Hague7370.98
William McCrea24689.34
William Rennie27257.33
Willie Bain822
Yvette Cooper21450.30
\n", "

643 rows × 1 columns

\n", "
" ], "text/plain": [ " Amount, £\n", "Name of member \n", "Adam Afriyie 273.93\n", "Adam Holloway 7415.06\n", "Adam Ingram 18578.90\n", "Adam Price 7874.73\n", "Adrian Bailey 10668.61\n", "... ...\n", "William Hague 7370.98\n", "William McCrea 24689.34\n", "William Rennie 27257.33\n", "Willie Bain 822\n", "Yvette Cooper 21450.30\n", "\n", "[643 rows x 1 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[['Name of member', 'Amount, £']].groupby(\"Name of member\").agg('sum')" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:24:23.132983Z", "start_time": "2021-10-24T04:24:23.124399Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Amount, £
Name of member
Graham Allen42753.53
Michael Foster39999.69
Mark Hunter34779.11
Gordon Banks34471.90
Lynda Waltho34288.55
Joan Humble33395.89
Phil Wilson33031.23
Barbara Follett32861.14
Sian James32495.32
Helen Jones32209.45
\n", "
" ], "text/plain": [ " Amount, £\n", "Name of member \n", "Graham Allen 42753.53\n", "Michael Foster 39999.69\n", "Mark Hunter 34779.11\n", "Gordon Banks 34471.90\n", "Lynda Waltho 34288.55\n", "Joan Humble 33395.89\n", "Phil Wilson 33031.23\n", "Barbara Follett 32861.14\n", "Sian James 32495.32\n", "Helen Jones 32209.45" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat1 = df[['Name of member', 'Amount, £']].groupby(\"Name of member\").agg('sum')\n", "dat1 = dat1.sort_values(by=['Amount, £'], ascending = False)\n", "dat1[:10]" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:24:53.141197Z", "start_time": "2021-10-24T04:24:53.137515Z" } }, "outputs": [], "source": [ "dat1['Rank'] = range(1, len(dat1)+1)" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:25:00.589843Z", "start_time": "2021-10-24T04:25:00.582497Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Amount, £Rank
Name of member
Graham Allen42753.531
Michael Foster39999.692
Mark Hunter34779.113
Gordon Banks34471.904
Lynda Waltho34288.555
Joan Humble33395.896
Phil Wilson33031.237
Barbara Follett32861.148
Sian James32495.329
Helen Jones32209.4510
\n", "
" ], "text/plain": [ " Amount, £ Rank\n", "Name of member \n", "Graham Allen 42753.53 1\n", "Michael Foster 39999.69 2\n", "Mark Hunter 34779.11 3\n", "Gordon Banks 34471.90 4\n", "Lynda Waltho 34288.55 5\n", "Joan Humble 33395.89 6\n", "Phil Wilson 33031.23 7\n", "Barbara Follett 32861.14 8\n", "Sian James 32495.32 9\n", "Helen Jones 32209.45 10" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat1[:10]" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:28:48.838969Z", "start_time": "2021-10-24T04:28:48.621907Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize =(16, 6), dpi = 100)\n", "\n", "plt.plot(dat1['Rank'], dat1['Amount, £'], 'ro')\n", "# plt.yscale('log')\n", "# plt.xscale('log')\n", "\n", "plt.xlabel('Rank')\n", "plt.ylabel('Amount, £')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 84, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T04:29:56.279966Z", "start_time": "2021-10-24T04:29:56.086678Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize =(16, 6), dpi = 100)\n", "\n", "dat10 = dat1[:10]\n", "plt.plot(dat10['Rank'], dat10['Amount, £'], 'ro')\n", "# plt.yscale('log')\n", "# plt.xscale('log')\n", "\n", "plt.xlabel('Rank')\n", "plt.ylabel('Amount, £')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T05:31:40.777811Z", "start_time": "2021-10-24T05:31:40.764136Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Amount, £
Allowance Type
Office running costs (IEP/AOE)4561001.11
Cost of staying away from the main home (ACA/PAAE)3160432.72
Communications Expenditure2510511.02
Staffing non-payroll24414.17
\n", "
" ], "text/plain": [ " Amount, £\n", "Allowance Type \n", "Office running costs (IEP/AOE) 4561001.11\n", "Cost of staying away from the main home (ACA/PAAE) 3160432.72\n", "Communications Expenditure 2510511.02\n", "Staffing non-payroll 24414.17" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat2 = df[['Allowance Type', 'Amount, £']].groupby(\"Allowance Type\").agg('sum')\n", "dat2 = dat2.sort_values(by=['Amount, £'], ascending = False)\n", "dat2" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T05:34:12.983235Z", "start_time": "2021-10-24T05:34:12.966693Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Amount, £
Expenditure Type
Accommodation costs1809184.32
Publications1097722.44
Mortgage interest1056568.92
Delivery charges1019891.50
Rent969231.40
Incidentals806222.41
Telephones677887.23
Other household costs463874.76
Subsistence373680.38
Advertising261207.10
Council tax226974.67
Agencies etc220883.47
Constituency Association payments187676.45
Utilities172737.37
Other equipment lease141508.52
Websites131689.98
IT equipment purchase117466.40
Professional fees90381.10
Other equipment purchase82802.68
Maintenance, janitorial79518.88
Hotel Expenses70102.59
Petty cash47442.51
Payments to individuals42585.55
Member travel (AOE)31841.92
Staff Subsistence24401.87
Staff office purchases22137.03
Staff travel rail8195.26
Staff telephone expenses6965.79
IT equipment lease4382.88
Staff subsistence4071.69
Staff travel car2888.88
Staff use of home expenses1969.68
Staff travel air800.41
Staff travel parking697.74
Staff travel taxi521.54
Staff travel public transport190.85
General Running Costs40.55
Staff travel tolls12.30
\n", "
" ], "text/plain": [ " Amount, £\n", "Expenditure Type \n", "Accommodation costs 1809184.32\n", "Publications 1097722.44\n", "Mortgage interest 1056568.92\n", "Delivery charges 1019891.50\n", "Rent 969231.40\n", "Incidentals 806222.41\n", "Telephones 677887.23\n", "Other household costs 463874.76\n", "Subsistence 373680.38\n", "Advertising 261207.10\n", "Council tax 226974.67\n", "Agencies etc 220883.47\n", "Constituency Association payments 187676.45\n", "Utilities 172737.37\n", "Other equipment lease 141508.52\n", "Websites 131689.98\n", "IT equipment purchase 117466.40\n", "Professional fees 90381.10\n", "Other equipment purchase 82802.68\n", "Maintenance, janitorial 79518.88\n", "Hotel Expenses 70102.59\n", "Petty cash 47442.51\n", "Payments to individuals 42585.55\n", "Member travel (AOE) 31841.92\n", "Staff Subsistence 24401.87\n", "Staff office purchases 22137.03\n", "Staff travel rail 8195.26\n", "Staff telephone expenses 6965.79\n", "IT equipment lease 4382.88\n", "Staff subsistence 4071.69\n", "Staff travel car 2888.88\n", "Staff use of home expenses 1969.68\n", "Staff travel air 800.41\n", "Staff travel parking 697.74\n", "Staff travel taxi 521.54\n", "Staff travel public transport 190.85\n", "General Running Costs 40.55\n", "Staff travel tolls 12.30" ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat3 = df[['Expenditure Type', 'Amount, £']].groupby(\"Expenditure Type\").agg('sum')\n", "dat3 = dat3.sort_values(by=['Amount, £'], ascending = False)\n", "dat3" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T05:35:04.793167Z", "start_time": "2021-10-24T05:35:04.010433Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize =(16, 4), dpi = 100)\n", "dat3['Amount, £'].plot(kind = 'bar')\n", "plt.yscale('log')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 桑基图" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T05:42:03.704414Z", "start_time": "2021-10-24T05:42:03.693868Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from pyecharts import options as opts\n", "from pyecharts.charts import Sankey\n", "\n", "nodes = [\n", " {\"name\": \"category1\"},\n", " {\"name\": \"category2\"},\n", " {\"name\": \"category3\"},\n", " {\"name\": \"category4\"},\n", " {\"name\": \"category5\"},\n", " {\"name\": \"category6\"},\n", "]\n", "\n", "links = [\n", " {\"source\": \"category1\", \"target\": \"category2\", \"value\": 10},\n", " {\"source\": \"category2\", \"target\": \"category3\", \"value\": 15},\n", " {\"source\": \"category3\", \"target\": \"category4\", \"value\": 20},\n", " {\"source\": \"category5\", \"target\": \"category6\", \"value\": 25},\n", "]\n", "c = (\n", " Sankey()\n", " .add(\n", " \"sankey\",\n", " nodes,\n", " links,\n", " linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5, color=\"source\"),\n", " label_opts=opts.LabelOpts(position=\"right\"),\n", " )\n", " .set_global_opts(title_opts=opts.TitleOpts(title=\"Sankey-基本示例\"))\n", " #.render(\"sankey_base.html\")\n", " .render_notebook()\n", ")\n", "\n", "c" ] }, { "cell_type": "code", "execution_count": 118, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T06:00:16.876612Z", "start_time": "2021-10-24T06:00:16.851116Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Expenditure TypeAllowance TypeAmount, £
0Accommodation costsOffice running costs (IEP/AOE)1809184.32
20PublicationsCommunications Expenditure1097722.44
13Mortgage interestCost of staying away from the main home (ACA/P...1056568.92
5Delivery chargesCommunications Expenditure1019891.50
21RentCost of staying away from the main home (ACA/P...969231.40
10IncidentalsOffice running costs (IEP/AOE)806222.41
35TelephonesOffice running costs (IEP/AOE)677887.23
16Other household costsCost of staying away from the main home (ACA/P...463874.76
34SubsistenceCost of staying away from the main home (ACA/P...373680.38
1AdvertisingCommunications Expenditure261207.10
4Council taxCost of staying away from the main home (ACA/P...226974.67
2Agencies etcOffice running costs (IEP/AOE)220883.47
3Constituency Association paymentsOffice running costs (IEP/AOE)187676.45
36UtilitiesOffice running costs (IEP/AOE)172737.37
14Other equipment leaseOffice running costs (IEP/AOE)141508.52
37WebsitesCommunications Expenditure131689.98
9IT equipment purchaseOffice running costs (IEP/AOE)117466.40
19Professional feesOffice running costs (IEP/AOE)90381.10
15Other equipment purchaseOffice running costs (IEP/AOE)82802.68
11Maintenance, janitorialOffice running costs (IEP/AOE)79518.88
7Hotel ExpensesCost of staying away from the main home (ACA/P...70102.59
18Petty cashOffice running costs (IEP/AOE)47442.51
17Payments to individualsOffice running costs (IEP/AOE)42585.55
12Member travel (AOE)Office running costs (IEP/AOE)31841.92
22Staff SubsistenceStaffing non-payroll24401.87
23Staff office purchasesOffice running costs (IEP/AOE)22137.03
30Staff travel railOffice running costs (IEP/AOE)8195.26
25Staff telephone expensesOffice running costs (IEP/AOE)6965.79
8IT equipment leaseOffice running costs (IEP/AOE)4382.88
24Staff subsistenceOffice running costs (IEP/AOE)4071.69
27Staff travel carOffice running costs (IEP/AOE)2888.88
33Staff use of home expensesOffice running costs (IEP/AOE)1969.68
26Staff travel airOffice running costs (IEP/AOE)800.41
28Staff travel parkingOffice running costs (IEP/AOE)697.74
31Staff travel taxiOffice running costs (IEP/AOE)521.54
29Staff travel public transportOffice running costs (IEP/AOE)190.85
6General Running CostsOffice running costs (IEP/AOE)40.55
32Staff travel tollsStaffing non-payroll12.30
\n", "
" ], "text/plain": [ " Expenditure Type \\\n", "0 Accommodation costs \n", "20 Publications \n", "13 Mortgage interest \n", "5 Delivery charges \n", "21 Rent \n", "10 Incidentals \n", "35 Telephones \n", "16 Other household costs \n", "34 Subsistence \n", "1 Advertising \n", "4 Council tax \n", "2 Agencies etc \n", "3 Constituency Association payments \n", "36 Utilities \n", "14 Other equipment lease \n", "37 Websites \n", "9 IT equipment purchase \n", "19 Professional fees \n", "15 Other equipment purchase \n", "11 Maintenance, janitorial \n", "7 Hotel Expenses \n", "18 Petty cash \n", "17 Payments to individuals \n", "12 Member travel (AOE) \n", "22 Staff Subsistence \n", "23 Staff office purchases \n", "30 Staff travel rail \n", "25 Staff telephone expenses \n", "8 IT equipment lease \n", "24 Staff subsistence \n", "27 Staff travel car \n", "33 Staff use of home expenses \n", "26 Staff travel air \n", "28 Staff travel parking \n", "31 Staff travel taxi \n", "29 Staff travel public transport \n", "6 General Running Costs \n", "32 Staff travel tolls \n", "\n", " Allowance Type Amount, £ \n", "0 Office running costs (IEP/AOE) 1809184.32 \n", "20 Communications Expenditure 1097722.44 \n", "13 Cost of staying away from the main home (ACA/P... 1056568.92 \n", "5 Communications Expenditure 1019891.50 \n", "21 Cost of staying away from the main home (ACA/P... 969231.40 \n", "10 Office running costs (IEP/AOE) 806222.41 \n", "35 Office running costs (IEP/AOE) 677887.23 \n", "16 Cost of staying away from the main home (ACA/P... 463874.76 \n", "34 Cost of staying away from the main home (ACA/P... 373680.38 \n", "1 Communications Expenditure 261207.10 \n", "4 Cost of staying away from the main home (ACA/P... 226974.67 \n", "2 Office running costs (IEP/AOE) 220883.47 \n", "3 Office running costs (IEP/AOE) 187676.45 \n", "36 Office running costs (IEP/AOE) 172737.37 \n", "14 Office running costs (IEP/AOE) 141508.52 \n", "37 Communications Expenditure 131689.98 \n", "9 Office running costs (IEP/AOE) 117466.40 \n", "19 Office running costs (IEP/AOE) 90381.10 \n", "15 Office running costs (IEP/AOE) 82802.68 \n", "11 Office running costs (IEP/AOE) 79518.88 \n", "7 Cost of staying away from the main home (ACA/P... 70102.59 \n", "18 Office running costs (IEP/AOE) 47442.51 \n", "17 Office running costs (IEP/AOE) 42585.55 \n", "12 Office running costs (IEP/AOE) 31841.92 \n", "22 Staffing non-payroll 24401.87 \n", "23 Office running costs (IEP/AOE) 22137.03 \n", "30 Office running costs (IEP/AOE) 8195.26 \n", "25 Office running costs (IEP/AOE) 6965.79 \n", "8 Office running costs (IEP/AOE) 4382.88 \n", "24 Office running costs (IEP/AOE) 4071.69 \n", "27 Office running costs (IEP/AOE) 2888.88 \n", "33 Office running costs (IEP/AOE) 1969.68 \n", "26 Office running costs (IEP/AOE) 800.41 \n", "28 Office running costs (IEP/AOE) 697.74 \n", "31 Office running costs (IEP/AOE) 521.54 \n", "29 Office running costs (IEP/AOE) 190.85 \n", "6 Office running costs (IEP/AOE) 40.55 \n", "32 Staffing non-payroll 12.30 " ] }, "execution_count": 118, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dat4 = df[['Allowance Type','Expenditure Type', 'Amount, £']].groupby(['Expenditure Type', 'Allowance Type'], as_index = False).agg('sum')\n", "dat4 = dat4.sort_values(by=['Amount, £'], ascending = False)\n", "dat4" ] }, { "cell_type": "code", "execution_count": 140, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T06:10:46.376949Z", "start_time": "2021-10-24T06:10:46.371798Z" } }, "outputs": [], "source": [ "nodes = dat4['Allowance Type'].unique().tolist() + dat4['Expenditure Type'].unique().tolist()\n", "nodes = [{'name': i} for i in nodes]\n", "links = [{'source': dat4['Allowance Type'][i], 'target': dat4['Expenditure Type'][i], 'value': dat4['Amount, £'][i]} for i in dat4.index]" ] }, { "cell_type": "code", "execution_count": 144, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T06:11:21.828986Z", "start_time": "2021-10-24T06:11:21.819192Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "
\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 144, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from pyecharts import options as opts\n", "from pyecharts.charts import Sankey\n", "\n", "s = (\n", " Sankey()\n", " .add(\n", " \"sankey\",\n", " nodes,\n", " links,\n", " linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5, color=\"source\"),\n", " label_opts=opts.LabelOpts(position=\"right\"),\n", " )\n", " .set_global_opts(title_opts=opts.TitleOpts(title=\"Sankey Graph of UK MPS\"))\n", ")\n", "\n", "s.render_notebook()" ] }, { "cell_type": "code", "execution_count": 145, "metadata": { "ExecuteTime": { "end_time": "2021-10-24T06:11:26.935440Z", "start_time": "2021-10-24T06:11:26.928825Z" } }, "outputs": [ { "data": { "text/plain": [ "'/Users/datalab/github/data-journalism.github.io/notebook/sankey_mps.html'" ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ "s.render(\"sankey_mps.html\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "https://data-journalism.github.io/notebook/sankey_mps.html" ] }, { "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": "3.7.6" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true } }, "nbformat": 4, "nbformat_minor": 4 }