regex collection

This commit is contained in:
rasbt 2014-07-06 10:49:05 -04:00
parent 7a55543f9b
commit 2273c04467
2 changed files with 829 additions and 1 deletions

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@ -42,6 +42,8 @@
- Awesome things that you can do in IPython Notebooks (in progress) [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/awesome_things_ipynb.ipynb)]
- A collection of useful regular expressions [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/useful_regex.ipynb)]
<br>
@ -92,7 +94,7 @@ GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Py
- Numeric matrix manipulation - The cheat sheet for MATLAB, Python NumPy, R, and Julia [[Markdown](./tutorials/matrix_cheatsheet.md)]
- [Python Book Reviews](./other/python_book_reviews.md)
- Python Book Reviews [[Markdown](./other/python_book_reviews.md)]
<br>

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@ -0,0 +1,826 @@
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"cell_type": "markdown",
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"[Sebastian Raschka](http://sebastianraschka.com) \n",
"\n",
"- [Link to this IPython notebook on Github](https://github.com/rasbt/python_reference/blob/master/tutorials/useful_regex.ipynb) "
]
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"input": [
"%load_ext watermark"
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"input": [
"%watermark -d -v -u -t -z"
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{
"output_type": "stream",
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"text": [
"Last updated: 06/07/2014 10:07:02 EDT\n",
"\n",
"CPython 3.4.1\n",
"IPython 2.1.0\n"
]
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"source": [
"<font size=\"1.5em\">[More information](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/ipython_magic/watermark.ipynb) about the `watermark` magic command extension.</font>"
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{
"cell_type": "markdown",
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"source": [
"<hr>\n",
"I would be happy to hear your comments and suggestions. \n",
"Please feel free to drop me a note via\n",
"[twitter](https://twitter.com/rasbt), [email](mailto:bluewoodtree@gmail.com), or [google+](https://plus.google.com/+SebastianRaschka).\n",
"<hr>"
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{
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"A collection of useful regular expressions"
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{
"cell_type": "markdown",
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"source": [
"<br>\n",
"<br>"
]
},
{
"cell_type": "heading",
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"metadata": {},
"source": [
"Sections"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- [About the `re` module](#About-the-re-module)\n",
"- [Identify files via file extensions](#Identify-files-via-file-extensions)\n",
"- [Username validation](#Username-validation)\n",
"- [Checking for valid email addresses](#Checking-for-valid-email-addresses)\n",
"- [Check for a valid URL](#Check-for-a-valid-URL)\n",
"- [Checking for integers](#Checking-for-integers)\n",
"- [Validating dates](#Validating-dates)\n",
"- [Time](#Time)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
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},
{
"cell_type": "heading",
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"metadata": {},
"source": [
"About the `re` module"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The purpose of this IPython notebook is not to rewrite a detailed tutorial about regular expressions or the in-built Python `re` module, but to collect some useful regular expressions for copy&paste purposes."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The complete documentation of the Python `re` module can be found here [https://docs.python.org/3.4/howto/regex.html](https://docs.python.org/3.4/howto/regex.html). Below, I just want to list the most important methods for convenience:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- `re.match()` : Determine if the RE matches at the beginning of the string.\n",
"- `re.search()` : Scan through a string, looking for any location where this RE matches.\n",
"- `re.findall()` : Find all substrings where the RE matches, and returns them as a list.\n",
"- `re.finditer()` : Find all substrings where the RE matches, and returns them as an iterator."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you are using the same regular expression multiple times, it is recommended to compile it for improved performance.\n",
"\n",
" compiled_re = re.compile(r'some_regexpr') \n",
" for word in text:\n",
" match = comp.search(compiled_re))\n",
" # do something with the match\n",
" \n",
"**E.g., if we want to check if a string ends with a substring:**"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import re\n",
"\n",
"needle = 'needlers'\n",
"\n",
"# Python approach\n",
"print(bool(any([needle.endswith(e) for e in ('ly', 'ed', 'ing', 'ers')])))\n",
"\n",
"# On-the-fly Regular expression in Python\n",
"print(bool(re.search(r'(?:ly|ed|ing|ers)$', needle)))\n",
"\n",
"# Compiled Regular expression in Python\n",
"comp = re.compile(r'(?:ly|ed|ing|ers)$') \n",
"print(bool(comp.search(needle)))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"True\n",
"True\n",
"True\n"
]
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"prompt_number": 3
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{
"cell_type": "code",
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"input": [
"%timeit -n 10000 -r 50 bool(any([needle.endswith(e) for e in ('ly', 'ed', 'ing', 'ers')]))\n",
"%timeit -n 10000 -r 50 bool(re.search(r'(?:ly|ed|ing|ers)$', needle))\n",
"%timeit -n 10000 -r 50 bool(comp.search(needle))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10000 loops, best of 50: 2.74 \u00b5s per loop\n",
"10000 loops, best of 50: 2.93 \u00b5s per loop"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"10000 loops, best of 50: 1.28 \u00b5s per loop"
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{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
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"prompt_number": 4
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
]
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{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Identify files via file extensions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A regular expression to check for file extensions."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = r'(?i)(\\w+)\\.(jpeg|jpg|png|gif|tif|svg)$'\n",
"\n",
"# remove `(?i)` to make regexpr case-sensitive\n",
"\n",
"str_true = ('test.gif', \n",
" 'image.jpeg', \n",
" 'image.jpg',\n",
" 'image.TIF'\n",
" )\n",
"\n",
"str_false = ('test.pdf',\n",
" 'test.gif.pdf',\n",
" )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
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{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Username validation"
]
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Checking for a valid user name that has a certain minimum and maximum length.\n",
"\n",
"Allowed characters:\n",
"- letters (upper- and lower-case)\n",
"- numbers\n",
"- dashes\n",
"- underscores"
]
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"input": [
"min_len = 5 # minimum length for a valid username\n",
"max_len = 15 # maximum length for a valid username\n",
"\n",
"pattern = r\"^(?i)[a-z0-9_-]{%s,%s}$\" %(min_len, max_len)\n",
"\n",
"# remove `(?i)` to only allow lower-case letters\n",
"\n",
"\n",
"\n",
"str_true = ('user123', '123_user', 'Username')\n",
" \n",
"str_false = ('user', 'username1234_is-way-too-long', 'user$34354')\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
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{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Checking for valid email addresses"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A regular expression that captures most email addresses."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = r\"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9-.]+$)\"\n",
"\n",
"str_true = ('test@mail.com',)\n",
" \n",
"str_false = ('testmail.com', '@testmail.com', 'test@mailcom')\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<font size=\"1px\">source: [http://stackoverflow.com/questions/201323/using-a-regular-expression-to-validate-an-email-address](http://stackoverflow.com/questions/201323/using-a-regular-expression-to-validate-an-email-address)</font>"
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},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
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{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Check for a valid URL"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Checks for an URL if a string ...\n",
"\n",
"- starts with `https://`, or `http://`, or `www.`\n",
"- or ends with a dot extension"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^(https?:\\/\\/)?([\\da-z\\.-]+)\\.([a-z\\.]{2,6})([\\/\\w \\.-]*)*\\/?$'\n",
"\n",
"str_true = ('https://github.com', \n",
" 'http://github.com',\n",
" 'www.github.com',\n",
" 'github.com',\n",
" 'test.de',\n",
" 'https://github.com/rasbt',\n",
" 'test.jpeg' # !!! \n",
" )\n",
" \n",
"str_false = ('testmailcom', 'http:testmailcom', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<font size=\"1px\">source: [http://code.tutsplus.com/tutorials/8-regular-expressions-you-should-know--net-6149](http://code.tutsplus.com/tutorials/8-regular-expressions-you-should-know--net-6149)</font>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Checking for integers"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Positive integers"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^\\d+$'\n",
"\n",
"str_true = ('123', '1', )\n",
" \n",
"str_false = ('abc', '1.1', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Negative integers"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^-\\d+$'\n",
"\n",
"str_true = ('-123', '-1', )\n",
" \n",
"str_false = ('123', '-abc', '-1.1', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"All integers"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^-{0,1}\\d+$'\n",
"\n",
"str_true = ('-123', '-1', '1', '123',)\n",
" \n",
"str_false = ('123.0', '-abc', '-1.1', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Positive numbers"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^\\d*\\.{0,1}\\d+$'\n",
"\n",
"str_true = ('1', '123', '1.234', )\n",
" \n",
"str_false = ('-abc', '-123', '-123.0')\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Negative numbers"
]
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{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^-\\d*\\.{0,1}\\d+$'\n",
"\n",
"str_true = ('-1', '-123', '-123.0', )\n",
" \n",
"str_false = ('-abc', '1', '123', '1.234', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
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"prompt_number": 13
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"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"All numbers"
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{
"cell_type": "code",
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"input": [
"pattern = '^-{0,1}\\d*\\.{0,1}\\d+$'\n",
"\n",
"str_true = ('1', '123', '1.234', '-123', '-123.0')\n",
" \n",
"str_false = ('-abc')\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
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"prompt_number": 14
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"cell_type": "markdown",
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"source": [
"<font size=\"1px\">source: [http://stackoverflow.com/questions/1449817/what-are-some-of-the-most-useful-regular-expressions-for-programmers](http://stackoverflow.com/questions/1449817/what-are-some-of-the-most-useful-regular-expressions-for-programmers)</font>"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
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"cell_type": "heading",
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"Validating dates"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Validates dates in `mm/dd/yyyy` format."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = '^(0[1-9]|1[0-2])\\/(0[1-9]|1\\d|2\\d|3[01])\\/(19|20)\\d{2}$'\n",
"\n",
"str_true = ('01/08/2014', '12/30/2014', )\n",
" \n",
"str_false = ('22/08/2014', '-123', '1/8/2014', '1/08/2014', '01/8/2014')\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<br>"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Time"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[[back to top](#Sections)]"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"12-Hour format"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = r'^(1[012]|[1-9]):[0-5][0-9](\\s)?(?i)(am|pm)$'\n",
"\n",
"str_true = ('2:00pm', '7:30 AM', '12:05 am', )\n",
" \n",
"str_false = ('22:00pm', '14:00', '3:12', '03:12pm', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"24-Hour format"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"pattern = r'^([0-1]{1}[0-9]{1}|20|21|22|23):[0-5]{1}[0-9]{1}$'\n",
"\n",
"str_true = ('14:00', '00:30', )\n",
" \n",
"str_false = ('22:00pm', '4:00', )\n",
"\n",
"for t in str_true:\n",
" assert(bool(re.match(pattern, t)) == True), '%s is not True' %t\n",
"\n",
"for f in str_false:\n",
" assert(bool(re.match(pattern, f)) == False), '%s is not False' %f"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 33
}
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}