Created
August 5, 2014 06:15
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IPython notebook to compare multiple period in Ledger
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:2622df70552f1370f54530d29ec61bd9978b4ed67289653cf4aebd958738ac55" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u0437 Ledger\n", | |
"\n", | |
"\u0412 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u0430 \u0431\u0443\u0434\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0439 \u0436\u0443\u0440\u043d\u0430\u043b `drewr.dat` \u0441 \u0441\u0430\u0439\u0442\u0430 [ledger](http://www.ledger-cli.org/3.0/doc/ledger3.html#Example-Journal-File)." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"!echo $LEDGER_DIR\n", | |
"JOURNAL = '$LEDGER_DIR/drewr.dat'" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"/Users/rbd/Dropbox/Documents/Notes\r\n" | |
] | |
} | |
], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##\u0422\u0435\u043a\u0443\u0449\u0438\u0435 \u043e\u0441\u0442\u0430\u0442\u043a\u0438" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"balance_cmd = \"ledger -f {journal} balance Assets Liabilities\".format(journal=JOURNAL)\n", | |
"!{balance_cmd}" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
" \u001b[31m$ -3,804.00\u001b[0m \u001b[34mAssets\u001b[0m\r\n", | |
" $ 1,396.00 \u001b[34mChecking\u001b[0m\r\n", | |
" $ 30.00 \u001b[34mBusiness\u001b[0m\r\n", | |
" \u001b[31m$ -5,200.00\u001b[0m \u001b[34mSavings\u001b[0m\r\n", | |
" $ 180.00 \u001b[34mLiabilities\u001b[0m\r\n" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
" \u001b[31m$ -20.00\u001b[0m \u001b[34mMasterCard\u001b[0m\r\n", | |
" $ 200.00 \u001b[34mMortgage:Principal\u001b[0m\r\n", | |
"--------------------\r\n", | |
" \u001b[31m$ -3,624.00\u001b[0m\r\n" | |
] | |
} | |
], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##\u0424\u0443\u043d\u043a\u0446\u0438\u0438 \u0440\u0430\u0441\u0447\u0435\u0442\u0430" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import csv\n", | |
"import pandas as pd\n", | |
"\n", | |
"df = lambda src, label: pd.DataFrame({'category': src.keys(), label: src.values()})\n", | |
"merge = lambda x, y, how='outer', on='category': y if x is None else x.merge(y, how=how, on=on)\n", | |
"display = lambda x, columns='category': x.fillna('').sort(columns=columns)\n", | |
"\n", | |
"def read2dict(journal, categories):\n", | |
" result = dict()\n", | |
" prefix = categories if ' ' not in categories else ''\n", | |
"\n", | |
" reader = csv.reader([x if x[0]=='\"' else '\\n'+x for x in journal],\n", | |
" delimiter=',', quotechar='\"')\n", | |
" for row in reader:\n", | |
" category = row[0][len(prefix)+1:] if row[0].startswith(prefix) else row[0]\n", | |
" value = ' + '.join(row[1].split('\\n'))\n", | |
" result[category if category else ':: Total ::'] = value\n", | |
" \n", | |
" return result\n", | |
"\n", | |
"def balance(period, journal=JOURNAL, categories='Expenses', flags=''):\n", | |
" \"\"\"\n", | |
" Balance report\n", | |
" \"\"\"\n", | |
" LEDGER_BALANCE_CMD = '''ledger -f {journal} balance {categories} {flags}\\\n", | |
" --no-total --start-of-week=1 --depth 2\\\n", | |
" -F '\"%(account)\",\"%(display_total)\"\\n' -p \"{period}\"'''\n", | |
" command = LEDGER_BALANCE_CMD.format(period=period, journal=journal,\n", | |
" categories=categories, flags=flags)\n", | |
" expenses = !{command}\n", | |
" return read2dict(expenses, categories)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##\u041c\u0435\u0441\u044f\u0446\u044b \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"MONTHS = ('dec 2003', 'jan 2004', 'feb 2004')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##\u0420\u0430\u0441\u0445\u043e\u0434" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": true, | |
"input": [ | |
"expenses = None \n", | |
"for mon in MONTHS:\n", | |
" expenses = merge(expenses, df(balance(mon), mon))\n", | |
"\n", | |
"expenses = merge(expenses, df(balance('2003'), '2003'))\n", | |
"expenses = merge(expenses, df(balance('2004'), '2004'))\n", | |
"\n", | |
"display(expenses)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>category</th>\n", | |
" <th>dec 2003</th>\n", | |
" <th>jan 2004</th>\n", | |
" <th>feb 2004</th>\n", | |
" <th>2003</th>\n", | |
" <th>2004</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td> :: Total ::</td>\n", | |
" <td> $ 1,025.00</td>\n", | |
" <td> $ 5,629.00</td>\n", | |
" <td> </td>\n", | |
" <td> $ 1,025.00</td>\n", | |
" <td> $ 5,629.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>5</th>\n", | |
" <td> Auto</td>\n", | |
" <td> </td>\n", | |
" <td> $ 5,500.00</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 5,500.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td> Books</td>\n", | |
" <td> </td>\n", | |
" <td> $ 20.00</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 20.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td> Escrow</td>\n", | |
" <td> $ 300.00</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 300.00</td>\n", | |
" <td> </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td> Food</td>\n", | |
" <td> $ 225.00</td>\n", | |
" <td> $ 109.00</td>\n", | |
" <td> </td>\n", | |
" <td> $ 225.00</td>\n", | |
" <td> $ 109.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td> Interest</td>\n", | |
" <td> $ 500.00</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 500.00</td>\n", | |
" <td> </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 5, | |
"text": [ | |
" category dec 2003 jan 2004 feb 2004 2003 2004\n", | |
"1 :: Total :: $ 1,025.00 $ 5,629.00 $ 1,025.00 $ 5,629.00\n", | |
"5 Auto $ 5,500.00 $ 5,500.00\n", | |
"4 Books $ 20.00 $ 20.00\n", | |
"3 Escrow $ 300.00 $ 300.00 \n", | |
"0 Food $ 225.00 $ 109.00 $ 225.00 $ 109.00\n", | |
"2 Interest $ 500.00 $ 500.00 " | |
] | |
} | |
], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##\u0414\u043e\u0445\u043e\u0434" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": true, | |
"input": [ | |
"bal_income = lambda p, j=JOURNAL: balance(p, journal=j, categories='Income', flags='--invert')\n", | |
"\n", | |
"income = None\n", | |
"for mon in MONTHS:\n", | |
" income = merge(income, df(bal_income(mon), mon))\n", | |
"\n", | |
"income = merge(income, df(bal_income('2003'), '2003'))\n", | |
"income = merge(income, df(bal_income('2004'), '2004'))\n", | |
"\n", | |
"display(income)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>dec 2003</th>\n", | |
" <th>category</th>\n", | |
" <th>jan 2004</th>\n", | |
" <th>feb 2004</th>\n", | |
" <th>2003</th>\n", | |
" <th>2004</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td> </td>\n", | |
" <td> :: Total ::</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 2,030.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td> </td>\n", | |
" <td> Salary</td>\n", | |
" <td> $ 2,000.00</td>\n", | |
" <td> </td>\n", | |
" <td> </td>\n", | |
" <td> $ 2,000.00</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td> </td>\n", | |
" <td> Sales</td>\n", | |
" <td> </td>\n", | |
" <td> $ 30.00</td>\n", | |
" <td> </td>\n", | |
" <td> $ 30.00</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 6, | |
"text": [ | |
" dec 2003 category jan 2004 feb 2004 2003 2004\n", | |
"2 :: Total :: $ 2,030.00\n", | |
"0 Salary $ 2,000.00 $ 2,000.00\n", | |
"1 Sales $ 30.00 $ 30.00" | |
] | |
} | |
], | |
"prompt_number": 6 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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