question_id
stringlengths 7
12
| nl
stringlengths 4
200
| cmd
stringlengths 2
232
| oracle_man
list | canonical_cmd
stringlengths 2
228
| cmd_name
stringclasses 1
value |
---|---|---|---|---|---|
15103484-24
|
separate numbers and characters in string '20M10000N80M'
|
re.findall('([0-9]+)([A-Z])', '20M10000N80M')
|
[
"python.library.re#re.findall"
] |
re.findall('([0-9]+)([A-Z])', 'VAR_STR')
|
conala
|
2052390-4
|
manually throw/raise a `ValueError` exception with the message 'A very specific bad thing happened'
|
raise ValueError('A very specific bad thing happened')
|
[
"python.library.exceptions#ValueError"
] |
raise VAR_STR('VAR_STR')
|
conala
|
2052390-88
|
throw an exception "I know Python!"
|
raise Exception('I know Python!')
|
[
"python.library.exceptions#Exception"
] |
raise Exception('VAR_STR')
|
conala
|
2052390-69
|
Manually throw an exception "I know python!"
|
raise Exception('I know python!')
|
[
"python.library.exceptions#Exception"
] |
raise Exception('VAR_STR')
|
conala
|
2052390-39
|
throw a ValueError with message 'represents a hidden bug, do not catch this'
|
raise ValueError('represents a hidden bug, do not catch this')
|
[
"python.library.exceptions#ValueError"
] |
raise ValueError('VAR_STR')
|
conala
|
2052390-95
|
throw an Exception with message 'This is the exception you expect to handle'
|
raise Exception('This is the exception you expect to handle')
|
[
"python.library.exceptions#Exception"
] |
raise Exception('VAR_STR')
|
conala
|
2052390-76
|
throw a value error with message 'A very specific bad thing happened', 'foo', 'bar', 'baz'
|
raise ValueError('A very specific bad thing happened')
|
[
"python.library.exceptions#ValueError"
] |
raise ValueError('VAR_STR')
|
conala
|
2052390-99
|
throw a runtime error with message 'specific message'
|
raise RuntimeError('specific message')
|
[
"python.library.exceptions#RuntimeError"
] |
raise RuntimeError('VAR_STR')
|
conala
|
2052390-32
|
throw an assertion error with message "Unexpected value of 'distance'!", distance
|
raise AssertionError("Unexpected value of 'distance'!", distance)
|
[
"python.library.exceptions#AssertionError"
] |
raise AssertionError('VAR_STR', distance)
|
conala
|
12897374-47
|
remove duplicates from list `myset`
|
mynewlist = list(myset)
|
[
"python.library.functions#list"
] |
mynewlist = list(VAR_STR)
|
conala
|
12897374-66
|
get unique values from the list `['a', 'b', 'c', 'd']`
|
set(['a', 'b', 'c', 'd'])
|
[
"python.library.stdtypes#set"
] |
set([VAR_STR])
|
conala
|
35005907-50
|
split string `s` based on white spaces
|
re.findall('\\s+|\\S+', s)
|
[
"python.library.re#re.findall"
] |
re.findall('\\s+|\\S+', VAR_STR)
|
conala
|
2636755-57
|
convert a hex string `x` to string
|
y = str(int(x, 16))
|
[
"python.library.functions#int",
"python.library.stdtypes#str"
] |
y = str(int(VAR_STR, 16))
|
conala
|
3925465-40
|
get list of duplicated elements in range of 3
|
[y for x in range(3) for y in [x, x]]
|
[
"python.library.functions#range"
] |
[y for x in range(3) for y in [x, x]]
|
conala
|
9053260-30
|
remove elements in list `b` from list `a`
|
[x for x in a if x not in b]
|
[] |
[x for x in VAR_STR if x not in VAR_STR]
|
conala
|
6667201-23
|
create a list `matrix` containing 5 lists, each of 5 items all set to 0
|
matrix = [([0] * 5) for i in range(5)]
|
[
"python.library.functions#range"
] |
VAR_STR = [([0] * 5) for i in range(5)]
|
conala
|
3471999-53
|
interleave the elements of two lists `a` and `b`
|
[j for i in zip(a, b) for j in i]
|
[
"python.library.functions#zip"
] |
[j for i in zip(VAR_STR, VAR_STR) for j in i]
|
conala
|
3471999-1
|
merge two lists `a` and `b` into a single list
|
[j for i in zip(a, b) for j in i]
|
[
"python.library.functions#zip"
] |
[j for i in zip(VAR_STR, VAR_STR) for j in i]
|
conala
|
7831371-34
|
SQLite get a list of column names from cursor object `cursor`
|
names = list(map(lambda x: x[0], cursor.description))
|
[
"python.library.functions#map",
"python.library.functions#list"
] |
names = list(map(lambda x: x[0], VAR_STR.description))
|
conala
|
27218543-39
|
select the last business day of the month for each month in 2014 in pandas
|
pd.date_range('1/1/2014', periods=12, freq='BM')
|
[
"pandas.reference.api.pandas.date_range"
] |
pd.date_range('1/1/2014', periods=12, freq='BM')
|
conala
|
42142756-73
|
rename `last` row index label in dataframe `df` to `a`
|
df = df.rename(index={last: 'a'})
|
[
"pandas.reference.api.pandas.dataframe.rename"
] |
VAR_STR = VAR_STR.rename(index={VAR_STR: 'VAR_STR'})
|
conala
|
3428769-74
|
Finding the largest delta between two integers in a list in python
|
max(abs(x - y) for x, y in zip(values[1:], values[:-1]))
|
[
"python.library.functions#zip",
"python.library.functions#abs",
"python.library.functions#max"
] |
max(abs(x - y) for x, y in zip(values[1:], values[:-1]))
|
conala
|
510348-43
|
delay for "5" seconds
|
time.sleep(5)
|
[
"python.library.time#time.sleep"
] |
time.sleep(5)
|
conala
|
510348-64
|
make a 60 seconds time delay
|
time.sleep(60)
|
[
"python.library.time#time.sleep"
] |
time.sleep(60)
|
conala
|
510348-96
|
make a 0.1 seconds time delay
|
sleep(0.1)
|
[
"python.library.time#time.sleep"
] |
sleep(0.1)
|
conala
|
510348-83
|
make a 60 seconds time delay
|
time.sleep(60)
|
[
"python.library.time#time.sleep"
] |
time.sleep(60)
|
conala
|
510348-35
|
make a 0.1 seconds time delay
|
time.sleep(0.1)
|
[
"python.library.time#time.sleep"
] |
time.sleep(0.1)
|
conala
|
3505831-69
|
pads string '5' on the left with 1 zero
|
print('{0}'.format('5'.zfill(2)))
|
[
"python.library.functions#format",
"python.library.stdtypes#str.zfill"
] |
print('{0}'.format('VAR_STR'.zfill(2)))
|
conala
|
12974474-46
|
Unzip a list of tuples `l` into a list of lists
|
zip(*l)
|
[
"python.library.functions#zip"
] |
zip(*VAR_STR)
|
conala
|
27436748-64
|
reduce the first element of list of strings `data` to a string, separated by '.'
|
print('.'.join([item[0] for item in data]))
|
[
"python.library.stdtypes#str.join"
] |
print('VAR_STR'.join([item[0] for item in VAR_STR]))
|
conala
|
12440342-92
|
get the first element of each tuple from a list of tuples `G`
|
[x[0] for x in G]
|
[] |
[x[0] for x in VAR_STR]
|
conala
|
818949-51
|
create list `changed_list ` containing elements of list `original_list` whilst converting strings containing digits to integers
|
changed_list = [(int(f) if f.isdigit() else f) for f in original_list]
|
[
"python.library.functions#int",
"python.library.stdtypes#str.isdigit"
] |
VAR_STR = [(int(f) if f.isdigit() else f) for f in VAR_STR]
|
conala
|
25440008-98
|
flatten a dataframe df to a list
|
df.values.flatten()
|
[] |
df.values.flatten()
|
conala
|
306400-38
|
randomly select an item from list `foo`
|
random.choice(foo)
|
[
"python.library.random#random.choice"
] |
random.choice(VAR_STR)
|
conala
|
940822-75
|
regular expression match nothing
|
re.compile('$^')
|
[
"python.library.re#re.compile"
] |
re.compile('$^')
|
conala
|
940822-88
|
regular expression syntax for not to match anything
|
re.compile('.\\A|.\\A*|.\\A+')
|
[
"python.library.re#re.compile"
] |
re.compile('.\\A|.\\A*|.\\A+')
|
conala
|
940822-67
|
create a regular expression object with a pattern that will match nothing
|
re.compile('a^')
|
[
"python.library.re#re.compile"
] |
re.compile('a^')
|
conala
|
34696853-20
|
convert a list of strings `lst` to list of integers
|
[map(int, sublist) for sublist in lst]
|
[
"python.library.functions#map"
] |
[map(int, sublist) for sublist in VAR_STR]
|
conala
|
34696853-89
|
convert strings in list-of-lists `lst` to ints
|
[[int(x) for x in sublist] for sublist in lst]
|
[
"python.library.functions#int"
] |
[[int(x) for x in sublist] for sublist in VAR_STR]
|
conala
|
5501641-12
|
create a list with the characters of a string `5+6`
|
list('5+6')
|
[
"python.library.functions#list"
] |
list('VAR_STR')
|
conala
|
11573817-17
|
How to download a file via FTP with Python ftplib
|
ftp.retrbinary('RETR %s' % filename, file.write)
|
[
"python.library.ftplib#ftplib.FTP.retrbinary"
] |
ftp.retrbinary('RETR %s' % filename, file.write)
|
conala
|
29422691-3
|
print the number of occurences of not `none` in a list `lst` in Python 2
|
print(len([x for x in lst if x is not None]))
|
[
"python.library.functions#len"
] |
print(len([x for x in VAR_STR if x is not None]))
|
conala
|
9339630-98
|
encode string `s` to utf-8 code
|
s.encode('utf8')
|
[
"python.library.stdtypes#str.encode"
] |
VAR_STR.encode('utf8')
|
conala
|
24841306-8
|
get a sum of 4d array `M`
|
M.sum(axis=0).sum(axis=0)
|
[
"python.library.functions#sum"
] |
VAR_STR.sum(axis=0).sum(axis=0)
|
conala
|
11932729-43
|
sort a python dictionary `a_dict` by element `1` of the value
|
sorted(list(a_dict.items()), key=lambda item: item[1][1])
|
[
"python.library.functions#sorted",
"python.library.functions#list",
"python.library.stdtypes#dict.items"
] |
sorted(list(VAR_STR.items()), key=lambda item: item[1][1])
|
conala
|
10201977-40
|
Reverse list `x`
|
x[::-1]
|
[] |
VAR_STR[::-1]
|
conala
|
4915920-75
|
delete an item `thing` in a list `some_list` if it exists
|
cleaned_list = [x for x in some_list if x is not thing]
|
[] |
cleaned_list = [x for x in VAR_STR if x is not VAR_STR]
|
conala
|
35427814-67
|
get the number of all keys in the nested dictionary `dict_list`
|
len(dict_test) + sum(len(v) for v in dict_test.values())
|
[
"python.library.functions#len",
"python.library.functions#sum",
"python.library.stdtypes#dict.values"
] |
len(dict_test) + sum(len(v) for v in dict_test.values())
|
conala
|
6133434-3
|
find the sums of length 7 subsets of a list `daily`
|
weekly = [sum(visitors[x:x + 7]) for x in range(0, len(daily), 7)]
|
[
"python.library.functions#len",
"python.library.functions#range",
"python.library.functions#sum"
] |
weekly = [sum(visitors[x:x + 7]) for x in range(0, len(VAR_STR), 7)]
|
conala
|
14743454-13
|
Get a list of all keys from dictionary `dictA` where the number of occurrences of value `duck` in that key is more than `1`
|
[k for k, v in dictA.items() if v.count('duck') > 1]
|
[
"python.library.stdtypes#dict.items",
"python.library.stdtypes#str.count"
] |
[k for k, v in VAR_STR.items() if v.count('VAR_STR') > 1]
|
conala
|
29558007-37
|
generate a list of consecutive integers from 0 to 8
|
list(range(9))
|
[
"python.library.functions#range",
"python.library.functions#list"
] |
list(range(9))
|
conala
|
5106228-78
|
getting every possible combination of two elements in a list
|
list(itertools.combinations([1, 2, 3, 4, 5, 6], 2))
|
[
"python.library.itertools#itertools.combinations",
"python.library.functions#list"
] |
list(itertools.combinations([1, 2, 3, 4, 5, 6], 2))
|
conala
|
18312447-81
|
split string 'x+13.5*10x-4e1' into tokens
|
print([i for i in re.split('([\\d.]+|\\W+)', 'x+13.5*10x-4e1') if i])
|
[
"python.library.re#re.split"
] |
print([i for i in re.split('([\\d.]+|\\W+)', 'VAR_STR') if i])
|
conala
|
13891559-42
|
unpack elements of list `i` as arguments into function `foo`
|
foo(*i)
|
[] |
VAR_STR(*VAR_STR)
|
conala
|
9470142-61
|
remove all square brackets from string 'abcd[e]yth[ac]ytwec'
|
re.sub('\\[.*?\\]', '', 'abcd[e]yth[ac]ytwec')
|
[
"python.library.re#re.sub"
] |
re.sub('\\[.*?\\]', '', 'VAR_STR')
|
conala
|
15752422-54
|
set dataframe `df` index using column 'month'
|
df.set_index('month')
|
[
"pandas.reference.api.pandas.dataframe.set_index"
] |
VAR_STR.set_index('VAR_STR')
|
conala
|
26640145-30
|
get a list of the row names from index of a pandas data frame
|
list(df.index)
|
[
"python.library.functions#list"
] |
list(df.index)
|
conala
|
26640145-100
|
get the row names from index in a pandas data frame
|
df.index
|
[] |
df.index
|
conala
|
2152898-7
|
filtering out strings that contain 'ab' from a list of strings `lst`
|
[k for k in lst if 'ab' in k]
|
[] |
[k for k in VAR_STR if 'VAR_STR' in k]
|
conala
|
16084642-16
|
From a list of strings `my_list`, remove the values that contains numbers.
|
[x for x in my_list if not any(c.isdigit() for c in x)]
|
[
"python.library.functions#any",
"python.library.stdtypes#str.isdigit"
] |
[x for x in VAR_STR if not any(c.isdigit() for c in x)]
|
conala
|
3227624-52
|
get file '~/foo.ini'
|
config_file = os.path.expanduser('~/foo.ini')
|
[
"python.library.os.path#os.path.expanduser"
] |
config_file = os.path.expanduser('VAR_STR')
|
conala
|
18551752-51
|
split string `text` into chunks of 16 characters each
|
re.findall('.{,16}\\b', text)
|
[
"python.library.re#re.findall"
] |
re.findall('.{,16}\\b', VAR_STR)
|
conala
|
5075247-69
|
remove line breaks from string `textblock` using regex
|
re.sub('(?<=[a-z])\\r?\\n', ' ', textblock)
|
[
"python.library.re#re.sub"
] |
re.sub('(?<=[a-z])\\r?\\n', ' ', VAR_STR)
|
conala
|
16962512-77
|
convert scientific notation of variable `a` to decimal
|
"""{:.50f}""".format(float(a[0] / a[1]))
|
[
"python.library.functions#float",
"python.library.functions#format"
] |
"""{:.50f}""".format(float(VAR_STR[0] / VAR_STR[1]))
|
conala
|
13717463-67
|
create a list containing the indices of elements greater than 4 in list `a`
|
[i for i, v in enumerate(a) if v > 4]
|
[
"python.library.functions#enumerate"
] |
[i for i, v in enumerate(VAR_STR) if v > 4]
|
conala
|
42098487-14
|
split 1d array `a` into 2d array at the last element
|
np.split(a, [-1])
|
[
"numpy.reference.generated.numpy.split"
] |
np.split(VAR_STR, [-1])
|
conala
|
29815129-54
|
convert dataframe `df` to list of dictionaries including the index values
|
df.to_dict('index')
|
[
"pandas.reference.api.pandas.dataframe.to_dict"
] |
VAR_STR.to_dict('index')
|
conala
|
29815129-23
|
Create list of dictionaries from pandas dataframe `df`
|
df.to_dict('records')
|
[
"pandas.reference.api.pandas.dataframe.to_dict"
] |
VAR_STR.to_dict('records')
|
conala
|
15096021-2
|
Flatten list `x`
|
x = [i[0] for i in x]
|
[] |
VAR_STR = [i[0] for i in VAR_STR]
|
conala
|
15096021-36
|
convert list `x` into a flat list
|
y = map(operator.itemgetter(0), x)
|
[
"python.library.operator#operator.itemgetter",
"python.library.functions#map"
] |
y = map(operator.itemgetter(0), VAR_STR)
|
conala
|
15096021-51
|
get a list `y` of the first element of every tuple in list `x`
|
y = [i[0] for i in x]
|
[] |
VAR_STR = [i[0] for i in VAR_STR]
|
conala
|
24082784-99
|
Group a pandas data frame by monthly frequenct `M` using groupby
|
df.groupby(pd.TimeGrouper(freq='M'))
|
[
"pandas.reference.api.pandas.dataframe.groupby"
] |
df.groupby(pd.TimeGrouper(freq='VAR_STR'))
|
conala
|
2153444-1
|
Find average of a nested list `a`
|
a = [(sum(x) / len(x)) for x in zip(*a)]
|
[
"python.library.functions#zip",
"python.library.functions#len",
"python.library.functions#sum"
] |
VAR_STR = [(sum(x) / len(x)) for x in zip(*VAR_STR)]
|
conala
|
6879364-89
|
Get the age of directory (or file) `/tmp` in seconds.
|
print(os.path.getmtime('/tmp'))
|
[
"python.library.os.path#os.path.getmtime"
] |
print(os.path.getmtime('VAR_STR'))
|
conala
|
715417-70
|
Convert string to boolean from defined set of strings
|
s in ['true', '1', 't', 'y', 'yes', 'yeah', 'yup', 'certainly', 'uh-huh']
|
[] |
s in ['true', '1', 't', 'y', 'yes', 'yeah', 'yup', 'certainly', 'uh-huh']
|
conala
|
11921649-79
|
Format string `hello {name}, how are you {name}, welcome {name}` to be interspersed by `name` three times, specifying the value as `john` only once
|
"""hello {name}, how are you {name}, welcome {name}""".format(name='john')
|
[
"python.library.functions#format"
] |
"""VAR_STR""".format(VAR_STR='VAR_STR')
|
conala
|
3731426-92
|
divide the members of a list `conversions` by the corresponding members of another list `trials`
|
[(c / t) for c, t in zip(conversions, trials)]
|
[
"python.library.functions#zip"
] |
[(c / t) for c, t in zip(VAR_STR, VAR_STR)]
|
conala
|
8936030-9
|
searche in HTML string for elements that have text 'Python'
|
soup.body.findAll(text='Python')
|
[
"python.library.re#re.findall"
] |
soup.body.findAll(text='VAR_STR')
|
conala
|
8936030-35
|
BeautifulSoup find string 'Python Jobs' in HTML body `body`
|
soup.body.findAll(text='Python Jobs')
|
[
"python.library.re#re.findall"
] |
soup.VAR_STR.findAll(text='VAR_STR')
|
conala
|
36113747-21
|
Initialize a list `a` with `10000` items and each item's value `0`
|
a = [0] * 10000
|
[] |
VAR_STR = [0] * 10000
|
conala
|
17555218-63
|
Sort lists in the list `unsorted_list` by the element at index 3 of each list
|
unsorted_list.sort(key=lambda x: x[3])
|
[
"python.library.stdtypes#list.sort"
] |
VAR_STR.sort(key=lambda x: x[3])
|
conala
|
40682209-98
|
Replace NaN values in column 'value' with the mean of data in column 'group' of dataframe `df`
|
df[['value']].fillna(df.groupby('group').transform('mean'))
|
[
"pandas.reference.api.pandas.dataframe.groupby",
"pandas.reference.api.pandas.dataframe.fillna",
"pandas.reference.api.pandas.dataframe.transform"
] |
VAR_STR[['VAR_STR']].fillna(VAR_STR.groupby('VAR_STR').transform('mean'))
|
conala
|
24722212-6
|
add a path `/path/to/2014_07_13_test` to system path
|
sys.path.append('/path/to/2014_07_13_test')
|
[
"numpy.reference.generated.numpy.append"
] |
sys.path.append('VAR_STR')
|
conala
|
16096754-83
|
remove None value from list `L`
|
[x for x in L if x is not None]
|
[] |
[x for x in VAR_STR if x is not None]
|
conala
|
21261330-82
|
Split string with comma (,) and remove whitespace from a string 'my_string'
|
[item.strip() for item in my_string.split(',')]
|
[
"python.library.stdtypes#str.strip",
"python.library.stdtypes#str.split"
] |
[item.strip() for item in VAR_STR.split(',')]
|
conala
|
3718657-91
|
get current script directory
|
os.path.dirname(os.path.abspath(__file__))
|
[
"python.library.os.path#os.path.dirname",
"python.library.os.path#os.path.abspath"
] |
os.path.dirname(os.path.abspath(__file__))
|
conala
|
11985628-48
|
Match regex pattern '((?:A|B|C)D)' on string 'BDE'
|
re.findall('((?:A|B|C)D)', 'BDE')
|
[
"python.library.re#re.findall"
] |
re.findall('VAR_STR', 'VAR_STR')
|
conala
|
9962293-50
|
create list `done` containing permutations of each element in list `[a, b, c, d]` with variable `x` as tuples
|
done = [(el, x) for el in [a, b, c, d]]
|
[] |
VAR_STR = [(el, VAR_STR) for el in [VAR_STR]]
|
conala
|
17457793-83
|
sort a set `s` by numerical value
|
sorted(s, key=float)
|
[
"python.library.functions#sorted"
] |
sorted(VAR_STR, key=float)
|
conala
|
12323403-99
|
How do I find an element that contains specific text in Selenium Webdriver (Python)?
|
driver.find_elements_by_xpath("//*[contains(text(), 'My Button')]")
|
[] |
driver.find_elements_by_xpath("//*[contains(text(), 'My Button')]")
|
conala
|
11406091-7
|
Selecting Element "//li/label/input" followed by text "polishpottery" with Selenium WebDriver `driver`
|
driver.find_element_by_xpath("//li/label/input[contains(..,'polishpottery')]")
|
[] |
VAR_STR.find_element_by_xpath("//li/label/input[contains(..,'polishpottery')]")
|
conala
|
10020591-5
|
Resample dataframe `frame` to resolution of 1 hour `1H` for timeseries index, summing values in the column `radiation` averaging those in column `tamb`
|
frame.resample('1H').agg({'radiation': np.sum, 'tamb': np.mean})
|
[
"pandas.reference.api.pandas.dataframe.agg"
] |
VAR_STR.resample('VAR_STR').agg({'VAR_STR': np.sum, 'VAR_STR': np.mean})
|
conala
|
14050824-40
|
sum each element `x` in list `first` with element `y` at the same index in list `second`.
|
[(x + y) for x, y in zip(first, second)]
|
[
"python.library.functions#zip"
] |
[(VAR_STR + VAR_STR) for VAR_STR, VAR_STR in zip(VAR_STR, VAR_STR)]
|
conala
|
28780956-93
|
get the context of a search by keyword 'My keywords' in beautifulsoup `soup`
|
k = soup.find(text=re.compile('My keywords')).parent.text
|
[
"python.library.re#re.compile",
"python.library.stdtypes#str.find"
] |
k = VAR_STR.find(text=re.compile('VAR_STR')).parent.text
|
conala
|
2587402-45
|
sort list `xs` based on the length of its elements
|
print(sorted(xs, key=len))
|
[
"python.library.functions#sorted"
] |
print(sorted(VAR_STR, key=len))
|
conala
|
2587402-28
|
sort list `xs` in ascending order of length of elements
|
xs.sort(lambda x, y: cmp(len(x), len(y)))
|
[
"python.library.functions#len",
"python.library.filecmp#filecmp.cmp",
"python.library.stdtypes#list.sort"
] |
VAR_STR.sort(lambda x, y: cmp(len(x), len(y)))
|
conala
|
2587402-14
|
sort list of strings `xs` by the length of string
|
xs.sort(key=lambda s: len(s))
|
[
"python.library.functions#len",
"python.library.stdtypes#list.sort"
] |
VAR_STR.sort(key=lambda s: len(s))
|
conala
|
23914774-64
|
Make a dictionary from list `f` which is in the format of four sets of "val, key, val"
|
{f[i + 1]: [f[i], f[i + 2]] for i in range(0, len(f), 3)}
|
[
"python.library.functions#len",
"python.library.functions#range"
] |
{VAR_STR[i + 1]: [VAR_STR[i], VAR_STR[i + 2]] for i in range(0, len(VAR_STR), 3)}
|
conala
|
5577501-79
|
check if string `string` starts with a number
|
string[0].isdigit()
|
[
"python.library.stdtypes#str.isdigit"
] |
VAR_STR[0].isdigit()
|
conala
|
5577501-18
|
Check if string `strg` starts with any of the elements in list ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
|
strg.startswith(('0', '1', '2', '3', '4', '5', '6', '7', '8', '9'))
|
[
"python.library.stdtypes#str.startswith"
] |
VAR_STR.startswith(('VAR_STR', 'VAR_STR', 'VAR_STR', 'VAR_STR', 'VAR_STR', 'VAR_STR',
'VAR_STR', 'VAR_STR', 'VAR_STR', 'VAR_STR'))
|
conala
|
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