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get digits in string `my_string` | """""".join(c for c in my_string if c.isdigit()) |
plit string `str1` on one or more spaces with a regular expressio | re.split(' +', str1) |
python split string based on regular expressio | re.findall('\\S+', str1) |
Evaluate a nested dictionary `myobject.id.number` to get `number` if `myobject` is present with getattr | getattr(getattr(myobject, 'id', None), 'number', None) |
vert generator object to a dictionary | {i: (i * 2) for i in range(10)} |
vert generator object to a dictionary | dict((i, i * 2) for i in range(10)) |
Matplotlib clear the current axes. | plt.cla() |
plit string `s` into float values and write sum to `total` | total = sum(float(item) for item in s.split(',')) |
Convert ascii value 'P' to binary | bin(ord('P')) |
print a string after a specific substring ', ' in string `my_string ` | print(my_string.split(', ', 1)[1]) |
get value of key `post code` associated with first index of key `places` of dictionary `data` | print(data['places'][0]['post code']) |
emove colon character surrounded by vowels letters in string `word` | word = re.sub('([aeiou]):(([aeiou][^aeiou]*){3})$', '\\1\\2', word) |
extract data field 'bar' from json objec | json.loads('{"foo": 42, "bar": "baz"}')['bar'] |
Convert JSON array `array` to Python objec | data = json.loads(array) |
Convert JSON array `array` to Python objec | data = json.loads(array) |
pars a string 'http://example.org/#comments' to extract hashtags into an array | re.findall('#(\\w+)', 'http://example.org/#comments') |
do a boolean check if a string `lestring` contains any of the items in list `lelist` | any(e in lestring for e in lelist) |
w to plot two columns of a pandas data frame using points? | df.plot(x='col_name_1', y='col_name_2', style='o') |
Parsing HTML string `html` using BeautifulSoup | parsed_html = BeautifulSoup(html)
print(parsed_html.body.find('div', attrs={'class': 'container', }).text) |
Parsing webpage 'http://www.google.com/' using BeautifulSoup | page = urllib.request.urlopen('http://www.google.com/')
soup = BeautifulSoup(page) |
hange figure size to 3 by 4 in matplotlib | plt.figure(figsize=(3, 4)) |
Strip punctuation from string `s` | s.translate(None, string.punctuation) |
django urlsafe base64 decode string `uenc` with decryptio | base64.urlsafe_b64decode(uenc.encode('ascii')) |
get the number of all keys in the nested dictionary `dict_list` | len(dict_test) + sum(len(v) for v in dict_test.values()) |
eturn the conversion of decimal `d` to hex without the '0x' prefix | hex(d).split('x')[1] |
eate a list containing digits of number 123 as its eleme | list(str(123)) |
verting integer `num` to l | [int(x) for x in str(num)] |
elect a first form with no name in mechanize | br.select_form(nr=0) |
Open file 'sample.json' in read mode with encoding of 'utf8sig' | json.load(codecs.open('sample.json', 'r', 'utf-8-sig')) |
load json file 'sample.json' with utf8 bom header | json.loads(open('sample.json').read().decode('utf-8-sig')) |
etup a smtp mail server to `smtp.gmail.com` with port `587` | server = smtplib.SMTP('smtp.gmail.com', 587) |
evers correlating bits of integer `n` | int('{:08b}'.format(n)[::-1], 2) |
dd column `d` to index of dataframe `df` | df.set_index(['d'], append=True) |
erating over a dictionary `d` using for loop | for (key, value) in d.items():
pass |
erating over a dictionary `d` using for loop | for (key, value) in list(d.items()):
pass |
erating key and items over dictionary `d` | for (letter, number) in list(d.items()):
pass |
erating key and items over dictionary `d` | for (k, v) in list(d.items()):
pass |
get keys and items of dictionary `d` | list(d.items()) |
get keys and items of dictionary `d` as a l | list(d.items()) |
erating key and items over dictionary `d` | for (k, v) in list(d.items()):
pass |
erating key and items over dictionary `d` | for (letter, number) in list(d.items()):
pass |
erating key and items over dictionary `d` | for (letter, number) in list(d.items()):
pass |
query all data from table `Task` where the value of column `time_spent` is bigger than 3 hour | session.query(Task).filter(Task.time_spent > timedelta(hours=3)).all() |
mpile Visual Studio project `project.sln` from the command line through pytho | os.system('msbuild project.sln /p:Configuration=Debug') |
get max key in dictionary `MyCount` | max(list(MyCount.keys()), key=int) |
execute command 'source .bashrc; shopt s expand_aliases; nuke x scriptPath' from python scrip | os.system('source .bashrc; shopt -s expand_aliases; nuke -x scriptPath') |
get a name of function `my_function` as a string | my_function.__name__ |
w to get a function name as a string in Python? | my_function.__name__ |
heck if all values in the columns of a numpy matrix `a` are same | np.all(a == a[(0), :], axis=0) |
list `a` in ascending order based on the addition of the second and third elements of each tuple in | sorted(a, key=lambda x: (sum(x[1:3]), x[0])) |
a list of tuples `a` by the sum of second and third element of each tuple | sorted(a, key=lambda x: (sum(x[1:3]), x[0]), reverse=True) |
g a list of tuples `lst` by the sum of the second elements onwards, and third element of the tuple | sorted(lst, key=lambda x: (sum(x[1:]), x[0])) |
he list of tuples `lst` by the sum of every value except the first and by the first value in reverse order | sorted(lst, key=lambda x: (sum(x[1:]), x[0]), reverse=True) |
dd header 'WWWAuthenticate' in a flask app with value 'Basic realm=test' | response.headers['WWW-Authenticate'] = 'Basic realm="test"' |
lear session key 'mykey' | del request.session['mykey'] |
vert date string '24052010' to date object in format '%d%m%Y' | datetime.datetime.strptime('24052010', '%d%m%Y').date() |
Replace nonASCII characters in string `text` with a single space | re.sub('[^\\x00-\\x7F]+', ' ', text) |
List of lists into numpy array | numpy.array([[1, 2], [3, 4]]) |
Get a list `myList` from 1 to 10 | myList = [i for i in range(10)] |
e regex pattern '((.+?)\\2+)' to split string '44442(2)2(2)44' | [m[0] for m in re.compile('((.+?)\\2+)').findall('44442(2)2(2)44')] |
e regular expression '((\\d)(?:[()]*\\2*[()]*)*)' to split string `s` | [i[0] for i in re.findall('((\\d)(?:[()]*\\2*[()]*)*)', s)] |
emove the space between subplots in matplotlib.pyplo | fig.subplots_adjust(wspace=0, hspace=0) |
Reverse list `x` | x[::-1] |
Python JSON encoding | json.dumps({'apple': 'cat', 'banana': 'dog', 'pear': 'fish'}) |
write a list of strings `row` to csv object `csvwriter` | csvwriter.writerow(row) |
Jinja2 formate date `item.date` accorto pattern 'Y M d' | {{(item.date | date): 'Y M d'}} |
Split a string `text` with comma, question mark or exclamation by nonconsuming regex using lookbehind | re.split('(?<=[\\.\\?!]) ', text) |
eate a regular expression object with the pattern '\xe2\x80\x93' | re.compile('\xe2\x80\x93') |
declare an array `variable` | variable = [] |
declare an array with element 'i' | intarray = array('i') |
given list `to_reverse`, reverse the all sublists and the list itself | [sublist[::-1] for sublist in to_reverse[::-1]] |
Replace all nonalphanumeric characters in a string | re.sub('[^0-9a-zA-Z]+', '*', 'h^&ell`.,|o w]{+orld') |
escape special characters without splitting data in array of strings `['I ', u'<', '3s U ', u'&', ' you luvz me']` | """""".join(['I ', '<', '3s U ', '&', ' you luvz me']) |
disable logging while running unit tests in python django | logging.disable(logging.CRITICAL) |
dding url `url` to mysql row | cursor.execute('INSERT INTO index(url) VALUES(%s)', (url,)) |
vert column of date objects 'DateObj' in pandas dataframe `df` to strings in new column 'DateStr' | df['DateStr'] = df['DateObj'].dt.strftime('%d%m%Y') |
plit string `s` by '@' and get the first eleme | s.split('@')[0] |
drop rows of dataframe `df` whose index is smaller than the value of `start_remove` or bigger than the value of`end_remove` | df.query('index < @start_remove or index > @end_remove') |
Drop the rows in pandas timeseries `df` from the row containing index `start_remove` to the row containing index `end_remove` | df.loc[(df.index < start_remove) | (df.index > end_remove)] |
Get the number of NaN values in each column of dataframe `df` | df.isnull().sum() |
eset index of dataframe `df`so that existing index values are transferred into `df`as colum | df.reset_index(inplace=True) |
generate a list containing values associated with the key 'value' of each dictionary inside list `list_of_dicts` | [x['value'] for x in list_of_dicts] |
python getting a list of value from list of dic | [d['value'] for d in l] |
python getting a list of value from list of dic | [d['value'] for d in l if 'value' in d] |
vert numpy array into python list structure | np.array([[1, 2, 3], [4, 5, 6]]).tolist() |
verting string '(1,2,3,4)' to a tuple | ast.literal_eval('(1,2,3,4)') |
keep a list `dataList` of lists sorted as it is created by second eleme | dataList.sort(key=lambda x: x[1]) |
emove duplicated items from list of lists `testdata` | list(map(list, set(map(lambda i: tuple(i), testdata)))) |
queness for list of lists `testdata` | [list(i) for i in set(tuple(i) for i in testdata)] |
django, check if a user is in a group 'Member' | return user.groups.filter(name='Member').exists() |
heck if a user `user` is in a group from list of groups `['group1', 'group2']` | return user.groups.filter(name__in=['group1', 'group2']).exists() |
Change log level dynamically to 'DEBUG' without restarting the applicatio | logging.getLogger().setLevel(logging.DEBUG) |
Concat each values in a tuple `(34.2424, 64.2344, 76.3534, 45.2344)` to get a string | """""".join(str(i) for i in (34.2424, -64.2344, 76.3534, 45.2344)) |
wap each pair of characters in string `s` | """""".join([s[x:x + 2][::-1] for x in range(0, len(s), 2)]) |
ave current figure to file 'graph.png' with resolution of 1000 dp | plt.savefig('graph.png', dpi=1000) |
delete items from list `my_list` if the item exist in list `to_dell` | my_list = [[x for x in sublist if x not in to_del] for sublist in my_list] |
find all the elements that consists value '1' in a list of tuples 'a' | [item for item in a if 1 in item] |
find all elements in a list of tuples `a` where the first element of each tuple equals 1 | [item for item in a if item[0] == 1] |
Get the index value in list `p_list` using enumerate in list comprehensio | {p.id: {'id': p.id, 'position': ind} for ind, p in enumerate(p_list)} |
how to uniqify a list of dict in pytho | [dict(y) for y in set(tuple(x.items()) for x in d)] |