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 |
---|---|---|---|---|---|
348196-52
|
Create list `instancelist` containing 29 objects of type MyClass
|
instancelist = [MyClass() for i in range(29)]
|
[
"python.library.functions#range"
] |
VAR_STR = [MyClass() for i in range(29)]
|
conala
|
5744980-30
|
Taking the results of a bash command "awk '{print $10, $11}' test.txt > test2.txt"
|
os.system("awk '{print $10, $11}' test.txt > test2.txt")
|
[
"python.library.os#os.system"
] |
os.system('VAR_STR')
|
conala
|
16739319-24
|
selenium wait for driver `driver` 60 seconds before throwing a NoSuchElementExceptions exception
|
driver.implicitly_wait(60)
|
[] |
VAR_STR.implicitly_wait(60)
|
conala
|
16739319-56
|
selenium webdriver switch to frame 'frameName'
|
driver.switch_to_frame('frameName')
|
[] |
driver.switch_to_frame('VAR_STR')
|
conala
|
39870642-93
|
Save plot `plt` as png file 'filename.png'
|
plt.savefig('filename.png')
|
[
"matplotlib.figure_api#matplotlib.figure.Figure.savefig"
] |
VAR_STR.savefig('VAR_STR')
|
conala
|
39870642-22
|
Save matplotlib graph to image file `filename.png` at a resolution of `300 dpi`
|
plt.savefig('filename.png', dpi=300)
|
[
"matplotlib.figure_api#matplotlib.figure.Figure.savefig"
] |
plt.savefig('VAR_STR', dpi=300)
|
conala
|
20062565-45
|
search for regex pattern 'Test(.*)print' in string `testStr` including new line character '\n'
|
re.search('Test(.*)print', testStr, re.DOTALL)
|
[
"python.library.re#re.search"
] |
re.search('VAR_STR', VAR_STR, re.DOTALL)
|
conala
|
42364992-94
|
Enclose numbers in quotes in a string `This is number 1 and this is number 22`
|
re.sub('(\\d+)', '"\\1"', 'This is number 1 and this is number 22')
|
[
"python.library.re#re.sub"
] |
re.sub('(\\d+)', '"\\1"', 'VAR_STR')
|
conala
|
4383571-75
|
Importing file `file` from folder '/path/to/application/app/folder'
|
sys.path.insert(0, '/path/to/application/app/folder')
import file
|
[
"numpy.reference.generated.numpy.insert"
] |
sys.path.insert(0, 'VAR_STR')
import VAR_STR
|
conala
|
11703064-52
|
append the sum of each tuple pair in the grouped list `list1` and list `list2` elements to list `list3`
|
list3 = [(a + b) for a, b in zip(list1, list2)]
|
[
"python.library.functions#zip"
] |
VAR_STR = [(a + b) for a, b in zip(VAR_STR, VAR_STR)]
|
conala
|
25540259-67
|
remove frame of legend in plot `plt`
|
plt.legend(frameon=False)
|
[
"matplotlib.legend_api#matplotlib.legend.Legend"
] |
VAR_STR.legend(frameon=False)
|
conala
|
16050952-62
|
remove the punctuation '!', '.', ':' from a string `asking`
|
out = ''.join(c for c in asking if c not in ('!', '.', ':'))
|
[
"python.library.stdtypes#str.join"
] |
out = ''.join(c for c in VAR_STR if c not in ('VAR_STR', 'VAR_STR', 'VAR_STR'))
|
conala
|
12096252-61
|
use a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'
|
df[df['A'].isin([3, 6])]
|
[
"numpy.reference.generated.numpy.isin"
] |
VAR_STR[VAR_STR['A'].isin([3, 6])]
|
conala
|
1179305-61
|
Parse a file `sample.xml` using expat parsing in python 3
|
parser.ParseFile(open('sample.xml', 'rb'))
|
[
"python.library.urllib.request#open"
] |
parser.ParseFile(open('VAR_STR', 'rb'))
|
conala
|
22229255-65
|
match zero-or-more instances of lower case alphabet characters in a string `f233op `
|
re.findall('([a-z]*)', 'f233op')
|
[
"python.library.re#re.findall"
] |
re.findall('([a-z]*)', 'VAR_STR')
|
conala
|
22229255-56
|
match zero-or-more instances of lower case alphabet characters in a string `f233op `
|
re.findall('([a-z])*', 'f233op')
|
[
"python.library.re#re.findall"
] |
re.findall('([a-z])*', 'VAR_STR')
|
conala
|
209513-92
|
Convert hex string "deadbeef" to integer
|
int('deadbeef', 16)
|
[
"python.library.functions#int"
] |
int('VAR_STR', 16)
|
conala
|
209513-93
|
Convert hex string "a" to integer
|
int('a', 16)
|
[
"python.library.functions#int"
] |
int('VAR_STR', 16)
|
conala
|
209513-94
|
Convert hex string "0xa" to integer
|
int('0xa', 16)
|
[
"python.library.functions#int"
] |
int('VAR_STR', 16)
|
conala
|
209513-47
|
Convert hex string `s` to integer
|
int(s, 16)
|
[
"python.library.functions#int"
] |
int(VAR_STR, 16)
|
conala
|
209513-79
|
Convert hex string `hexString` to int
|
int(hexString, 16)
|
[
"python.library.functions#int"
] |
int(VAR_STR, 16)
|
conala
|
1400608-13
|
empty a list `lst`
|
del lst[:]
|
[] |
del VAR_STR[:]
|
conala
|
1400608-91
|
empty a list `lst`
|
del lst1[:]
|
[] |
del lst1[:]
|
conala
|
1400608-86
|
empty a list `lst`
|
lst[:] = []
|
[] |
VAR_STR[:] = []
|
conala
|
1400608-67
|
empty a list `alist`
|
alist[:] = []
|
[] |
VAR_STR[:] = []
|
conala
|
15740236-74
|
encode unicode string '\xc5\xc4\xd6' to utf-8 code
|
print('\xc5\xc4\xd6'.encode('UTF8'))
|
[
"python.library.stdtypes#str.encode"
] |
print('VAR_STR'.encode('UTF8'))
|
conala
|
41648246-16
|
solve for the least squares' solution of matrices `a` and `b`
|
np.linalg.solve(np.dot(a.T, a), np.dot(a.T, b))
|
[
"numpy.reference.generated.numpy.dot",
"numpy.reference.generated.numpy.linalg.solve"
] |
np.linalg.solve(np.dot(VAR_STR.T, VAR_STR), np.dot(VAR_STR.T, VAR_STR))
|
conala
|
3820312-13
|
create a file 'filename' with each tuple in the list `mylist` written to a line
|
open('filename', 'w').write('\n'.join('%s %s' % x for x in mylist))
|
[
"python.library.urllib.request#open",
"python.library.stdtypes#str.join",
"python.library.os#os.write"
] |
open('VAR_STR', 'w').write('\n'.join('%s %s' % x for x in VAR_STR))
|
conala
|
7351270-100
|
print numbers in list `list` with precision of 3 decimal places
|
print('[%s]' % ', '.join('%.3f' % val for val in list))
|
[
"python.library.stdtypes#str.join"
] |
print('[%s]' % ', '.join('%.3f' % val for val in VAR_STR))
|
conala
|
7351270-60
|
format print output of list of floats `l` to print only up to 3 decimal points
|
print('[' + ', '.join('%5.3f' % v for v in l) + ']')
|
[
"python.library.stdtypes#str.join"
] |
print('[' + ', '.join('%5.3f' % v for v in VAR_STR) + ']')
|
conala
|
7351270-62
|
print a list of floating numbers `l` using string formatting
|
print([('%5.3f' % val) for val in l])
|
[] |
print([('%5.3f' % val) for val in VAR_STR])
|
conala
|
14750675-12
|
delete letters from string '12454v'
|
"""""".join(filter(str.isdigit, '12454v'))
|
[
"python.library.functions#filter",
"python.library.stdtypes#str.join"
] |
"""""".join(filter(str.isdigit, 'VAR_STR'))
|
conala
|
4508155-69
|
Get a md5 hash from string `thecakeisalie`
|
k = hashlib.md5('thecakeisalie').hexdigest()
|
[
"python.library.hashlib#hashlib.hash.hexdigest"
] |
k = hashlib.md5('VAR_STR').hexdigest()
|
conala
|
36296993-71
|
replace string 'in.' with ' in. ' in dataframe `df` column 'a'
|
df['a'] = df['a'].str.replace('in.', ' in. ')
|
[
"python.library.stdtypes#str.replace"
] |
VAR_STR['VAR_STR'] = VAR_STR['VAR_STR'].str.replace('VAR_STR', ' in. ')
|
conala
|
1246444-16
|
convert string `x' to dictionary splitted by `=` using list comprehension
|
dict([x.split('=') for x in s.split()])
|
[
"python.library.stdtypes#dict",
"python.library.stdtypes#str.split"
] |
dict([x.split('=') for x in s.split()])
|
conala
|
12168648-98
|
add a column 'new_col' to dataframe `df` for index in range
|
df['new_col'] = list(range(1, len(df) + 1))
|
[
"python.library.functions#len",
"python.library.functions#range",
"python.library.functions#list"
] |
VAR_STR['VAR_STR'] = list(range(1, len(VAR_STR) + 1))
|
conala
|
1790520-32
|
apply logical operator 'AND' to all elements in list `a_list`
|
all(a_list)
|
[
"python.library.functions#all"
] |
all(VAR_STR)
|
conala
|
32996293-30
|
get a list of booleans `z` that shows wether the corresponding items in list `x` and `y` are equal
|
z = [(i == j) for i, j in zip(x, y)]
|
[
"python.library.functions#zip"
] |
VAR_STR = [(i == j) for i, j in zip(VAR_STR, VAR_STR)]
|
conala
|
32996293-89
|
create a list which indicates whether each element in `x` and `y` is identical
|
[(x[i] == y[i]) for i in range(len(x))]
|
[
"python.library.functions#len",
"python.library.functions#range"
] |
[(VAR_STR[i] == VAR_STR[i]) for i in range(len(VAR_STR))]
|
conala
|
3887469-9
|
convert currency string `dollars` to decimal `cents_int`
|
cents_int = int(round(float(dollars.strip('$')) * 100))
|
[
"python.library.functions#float",
"python.library.functions#int",
"python.library.functions#round",
"python.library.stdtypes#str.strip"
] |
VAR_STR = int(round(float(VAR_STR.strip('$')) * 100))
|
conala
|
17734779-42
|
sort list `users` using values associated with key 'id' according to elements in list `order`
|
users.sort(key=lambda x: order.index(x['id']))
|
[
"pandas.reference.api.pandas.index.sort"
] |
VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR']))
|
conala
|
17734779-50
|
sort a python list of dictionaries `users` by a given list `order` of ids 'id' with the desired order
|
users.sort(key=lambda x: order.index(x['id']))
|
[
"pandas.reference.api.pandas.index.sort"
] |
VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR']))
|
conala
|
7658932-91
|
Get all indexes of a letter `e` from a string `word`
|
[index for index, letter in enumerate(word) if letter == 'e']
|
[
"python.library.functions#enumerate"
] |
[index for index, letter in enumerate(VAR_STR) if letter == 'VAR_STR']
|
conala
|
18609153-66
|
format parameters 'b' and 'a' into plcaeholders in string "{0}\\w{{2}}b{1}\\w{{2}}quarter"
|
"""{0}\\w{{2}}b{1}\\w{{2}}quarter""".format('b', 'a')
|
[
"python.library.functions#format"
] |
"""VAR_STR""".format('VAR_STR', 'VAR_STR')
|
conala
|
845058-51
|
get line count of file 'myfile.txt'
|
sum((1 for line in open('myfile.txt')))
|
[
"python.library.functions#sum",
"python.library.urllib.request#open"
] |
sum(1 for line in open('VAR_STR'))
|
conala
|
845058-70
|
get line count of file `filename`
|
def bufcount(filename):
f = open(filename)
lines = 0
buf_size = (1024 * 1024)
read_f = f.read
buf = read_f(buf_size)
while buf:
lines += buf.count('\n')
buf = read_f(buf_size)
return lines
|
[
"python.library.urllib.request#open"
] |
def bufcount(VAR_STR):
f = open(VAR_STR)
lines = 0
buf_size = 1024 * 1024
read_f = f.read
buf = read_f(buf_size)
while buf:
lines += buf.count('\n')
buf = read_f(buf_size)
return lines
|
conala
|
6714826-24
|
Determine the byte length of a utf-8 encoded string `s`
|
return len(s.encode('utf-8'))
|
[
"python.library.functions#len",
"python.library.stdtypes#str.encode"
] |
return len(VAR_STR.encode('utf-8'))
|
conala
|
5373474-77
|
specify multiple positional arguments with argparse
|
parser.add_argument('input', nargs='+')
|
[
"python.library.argparse#argparse.ArgumentParser.add_argument"
] |
parser.add_argument('input', nargs='+')
|
conala
|
28925267-60
|
delete every 8th column in a numpy array 'a'.
|
np.delete(a, list(range(0, a.shape[1], 8)), axis=1)
|
[
"numpy.reference.generated.numpy.delete",
"python.library.functions#range",
"python.library.functions#list"
] |
np.delete(VAR_STR, list(range(0, VAR_STR.shape[1], 8)), axis=1)
|
conala
|
3878555-86
|
Replace repeated instances of a character '*' with a single instance in a string 'text'
|
re.sub('\\*\\*+', '*', text)
|
[
"python.library.re#re.sub"
] |
re.sub('\\*\\*+', 'VAR_STR', VAR_STR)
|
conala
|
3878555-86
|
replace repeated instances of "*" with a single instance of "*"
|
re.sub('\\*+', '*', text)
|
[
"python.library.re#re.sub"
] |
re.sub('\\*+', 'VAR_STR', text)
|
conala
|
23145240-59
|
split elements of a list `l` by '\t'
|
[i.partition('\t')[-1] for i in l if '\t' in i]
|
[
"python.library.stdtypes#str.partition"
] |
[i.partition('VAR_STR')[-1] for i in VAR_STR if 'VAR_STR' in i]
|
conala
|
1731346-40
|
get two random records from model 'MyModel' in Django
|
MyModel.objects.order_by('?')[:2]
|
[] |
VAR_STR.objects.order_by('?')[:2]
|
conala
|
317413-56
|
get value of first child of xml node `name`
|
name[0].firstChild.nodeValue
|
[] |
VAR_STR[0].firstChild.nodeValue
|
conala
|
10618586-67
|
Convert a hex string `437c2123 ` according to ascii value.
|
"""437c2123""".decode('hex')
|
[
"python.library.stdtypes#bytearray.decode"
] |
"""VAR_STR""".decode('hex')
|
conala
|
2755950-13
|
Get all `a` tags where the text starts with value `some text` using regex
|
doc.xpath("//a[starts-with(text(),'some text')]")
|
[] |
doc.xpath("//a[starts-with(text(),'some text')]")
|
conala
|
10974932-69
|
split string `str1` on one or more spaces with a regular expression
|
re.split(' +', str1)
|
[
"python.library.re#re.split"
] |
re.split(' +', VAR_STR)
|
conala
|
10974932-59
|
python split string based on regular expression
|
re.findall('\\S+', str1)
|
[
"python.library.re#re.findall"
] |
re.findall('\\S+', str1)
|
conala
|
3774571-10
|
BeautifulSoup find all tags with attribute 'name' equal to 'description'
|
soup.findAll(attrs={'name': 'description'})
|
[
"python.library.re#re.findall"
] |
soup.findAll(attrs={'VAR_STR': 'VAR_STR'})
|
conala
|
23566515-25
|
get the dot product of two one dimensional numpy arrays
|
np.dot(a[:, (None)], b[(None), :])
|
[
"numpy.reference.generated.numpy.dot"
] |
np.dot(a[:, (None)], b[(None), :])
|
conala
|
23566515-22
|
multiplication of two 1-dimensional arrays in numpy
|
np.outer(a, b)
|
[
"numpy.reference.generated.numpy.outer"
] |
np.outer(a, b)
|
conala
|
8785554-77
|
insert a list `k` at the front of list `a`
|
a.insert(0, k)
|
[
"numpy.reference.generated.numpy.insert"
] |
VAR_STR.insert(0, VAR_STR)
|
conala
|
8785554-42
|
insert elements of list `k` into list `a` at position `n`
|
a = a[:n] + k + a[n:]
|
[] |
VAR_STR = VAR_STR[:VAR_STR] + VAR_STR + VAR_STR[VAR_STR:]
|
conala
|
17106819-22
|
get values from a dictionary `my_dict` whose key contains the string `Date`
|
[v for k, v in list(my_dict.items()) if 'Date' in k]
|
[
"python.library.functions#list",
"python.library.stdtypes#dict.items"
] |
[v for k, v in list(VAR_STR.items()) if 'VAR_STR' in k]
|
conala
|
9969684-48
|
Print variable `count` and variable `conv` with space string ' ' in between
|
print(str(count) + ' ' + str(conv))
|
[
"python.library.stdtypes#str"
] |
print(str(VAR_STR) + ' ' + str(VAR_STR))
|
conala
|
10805589-34
|
convert JSON string '2012-05-29T19:30:03.283Z' into a DateTime object using format '%Y-%m-%dT%H:%M:%S.%fZ'
|
datetime.datetime.strptime('2012-05-29T19:30:03.283Z', '%Y-%m-%dT%H:%M:%S.%fZ')
|
[
"python.library.datetime#datetime.datetime.strptime"
] |
datetime.datetime.strptime('VAR_STR', 'VAR_STR')
|
conala
|
17577727-88
|
decode string `content` to UTF-8 code
|
print(content.decode('utf8'))
|
[
"python.library.stdtypes#bytearray.decode"
] |
print(VAR_STR.decode('utf8'))
|
conala
|
17757450-20
|
convert list `data` into a string of its elements
|
print(''.join(map(str, data)))
|
[
"python.library.functions#map",
"python.library.stdtypes#str.join"
] |
print(''.join(map(str, VAR_STR)))
|
conala
|
11584773-84
|
sort list `lst` in descending order based on the second item of each tuple in it
|
lst.sort(key=lambda x: x[2], reverse=True)
|
[
"python.library.stdtypes#list.sort"
] |
VAR_STR.sort(key=lambda x: x[2], reverse=True)
|
conala
|
20078816-77
|
Replace non-ASCII characters in string `text` with a single space
|
re.sub('[^\\x00-\\x7F]+', ' ', text)
|
[
"python.library.re#re.sub"
] |
re.sub('[^\\x00-\\x7F]+', ' ', VAR_STR)
|
conala
|
34338341-12
|
get all digits in a string `s` after a '[' character
|
re.findall('\\d+(?=[^[]+$)', s)
|
[
"python.library.re#re.findall"
] |
re.findall('\\d+(?=[^[]+$)', VAR_STR)
|
conala
|
38251245-5
|
create a list of tuples which contains number 9 and the number before it, for each occurrence of 9 in the list 'myList'
|
[(x, y) for x, y in zip(myList, myList[1:]) if y == 9]
|
[
"python.library.functions#zip"
] |
[(x, y) for x, y in zip(VAR_STR, VAR_STR[1:]) if y == 9]
|
conala
|
2186656-7
|
remove all instances of [1, 1] from list `a`
|
a[:] = [x for x in a if x != [1, 1]]
|
[] |
VAR_STR[:] = [x for x in VAR_STR if x != [1, 1]]
|
conala
|
2186656-86
|
remove all instances of `[1, 1]` from a list `a`
|
[x for x in a if x != [1, 1]]
|
[] |
[x for x in VAR_STR if x != [VAR_STR]]
|
conala
|
716477-33
|
Convert nested list `x` into a flat list
|
[j for i in x for j in i]
|
[] |
[j for i in VAR_STR for j in i]
|
conala
|
716477-54
|
get each value from a list of lists `a` using itertools
|
print(list(itertools.chain.from_iterable(a)))
|
[
"python.library.itertools#itertools.chain.from_iterable",
"python.library.functions#list"
] |
print(list(itertools.chain.from_iterable(VAR_STR)))
|
conala
|
2917372-41
|
get the indices of tuples in list of tuples `L` where the first value is 53
|
[i for i, v in enumerate(L) if v[0] == 53]
|
[
"python.library.functions#enumerate"
] |
[i for i, v in enumerate(VAR_STR) if v[0] == 53]
|
conala
|
5882405-43
|
convert string '2011221' into a DateTime object using format '%Y%W%w'
|
datetime.strptime('2011221', '%Y%W%w')
|
[
"python.library.datetime#datetime.datetime.strptime"
] |
datetime.strptime('VAR_STR', 'VAR_STR')
|
conala
|
4627981-39
|
Create a dictionary from string `e` separated by `-` and `,`
|
dict((k, int(v)) for k, v in (e.split(' - ') for e in s.split(',')))
|
[
"python.library.functions#int",
"python.library.stdtypes#dict",
"python.library.stdtypes#str.split"
] |
dict((k, int(v)) for k, v in (VAR_STR.split(' - ') for VAR_STR in s.split('VAR_STR'))
)
|
conala
|
24492327-75
|
insert directory './path/to/your/modules/' to current directory
|
sys.path.insert(0, './path/to/your/modules/')
|
[
"numpy.reference.generated.numpy.insert"
] |
sys.path.insert(0, 'VAR_STR')
|
conala
|
17608210-91
|
Sort a list of strings 'words' such that items starting with 's' come first.
|
sorted(words, key=lambda x: 'a' + x if x.startswith('s') else 'b' + x)
|
[
"python.library.functions#sorted",
"python.library.stdtypes#str.startswith"
] |
sorted(VAR_STR, key=lambda x: 'a' + x if x.startswith('VAR_STR') else 'b' + x)
|
conala
|
21804935-73
|
execute a mv command `mv /home/somedir/subdir/* somedir/` in subprocess
|
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
|
[
"python.library.subprocess#subprocess.call"
] |
subprocess.call('VAR_STR', shell=True)
|
conala
|
21804935-87
|
How to use the mv command in Python with subprocess
|
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
|
[
"python.library.subprocess#subprocess.call"
] |
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
|
conala
|
40273313-48
|
use regex pattern '^12(?=.{4}$)' to remove digit 12 if followed by 4 other digits in column `c_contofficeID` of dataframe `df`
|
df.c_contofficeID.str.replace('^12(?=.{4}$)', '')
|
[
"pandas.reference.api.pandas.dataframe.replace"
] |
VAR_STR.VAR_STR.str.replace('VAR_STR', '')
|
conala
|
30015665-50
|
get the platform OS name
|
platform.system()
|
[
"python.library.platform#platform.system"
] |
platform.system()
|
conala
|
31650399-37
|
find all digits between two characters `\xab` and `\xbb`in a string `text`
|
print(re.findall('\\d+', '\n'.join(re.findall('\xab([\\s\\S]*?)\xbb', text))))
|
[
"python.library.re#re.findall",
"python.library.stdtypes#str.join"
] |
print(re.findall('\\d+', '\n'.join(re.findall('«([\\s\\S]*?)»', VAR_STR))))
|
conala
|
8898294-36
|
convert utf-8 with bom string `s` to utf-8 with no bom `u`
|
u = s.decode('utf-8-sig')
|
[
"python.library.stdtypes#bytearray.decode"
] |
VAR_STR = VAR_STR.decode('utf-8-sig')
|
conala
|
11174790-90
|
convert unicode string '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0' to byte string
|
'\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0'.encode('latin-1')
|
[
"python.library.stdtypes#str.encode"
] |
"""VAR_STR""".encode('latin-1')
|
conala
|
4843158-40
|
get a list of items from the list `some_list` that contain string 'abc'
|
matching = [s for s in some_list if 'abc' in s]
|
[] |
matching = [s for s in VAR_STR if 'VAR_STR' in s]
|
conala
|
4605439-78
|
swap each pair of characters in string `s`
|
"""""".join([s[x:x + 2][::-1] for x in range(0, len(s), 2)])
|
[
"python.library.functions#len",
"python.library.functions#range",
"python.library.stdtypes#str.join"
] |
"""""".join([VAR_STR[x:x + 2][::-1] for x in range(0, len(VAR_STR), 2)])
|
conala
|
7503241-31
|
django return a QuerySet list containing the values of field 'eng_name' in model `Employees`
|
Employees.objects.values_list('eng_name', flat=True)
|
[] |
VAR_STR.objects.values_list('VAR_STR', flat=True)
|
conala
|
11280536-19
|
sum elements at the same index of each list in list `lists`
|
map(sum, zip(*lists))
|
[
"python.library.functions#zip",
"python.library.functions#map"
] |
map(sum, zip(*VAR_STR))
|
conala
|
899103-24
|
writing items in list `thelist` to file `thefile`
|
for item in thelist:
thefile.write(('%s\n' % item))
|
[
"python.library.os#os.write"
] |
for item in VAR_STR:
VAR_STR.write('%s\n' % item)
|
conala
|
899103-78
|
writing items in list `thelist` to file `thefile`
|
for item in thelist:
pass
|
[] |
for item in VAR_STR:
pass
|
conala
|
899103-57
|
serialize `itemlist` to file `outfile`
|
pickle.dump(itemlist, outfile)
|
[
"python.library.pickle#pickle.dump"
] |
pickle.dump(VAR_STR, VAR_STR)
|
conala
|
899103-77
|
writing items in list `itemlist` to file `outfile`
|
outfile.write('\n'.join(itemlist))
|
[
"python.library.stdtypes#str.join",
"python.library.os#os.write"
] |
VAR_STR.write('\n'.join(VAR_STR))
|
conala
|
13295735-56
|
replace all the nan values with 0 in a pandas dataframe `df`
|
df.fillna(0)
|
[
"pandas.reference.api.pandas.dataframe.fillna"
] |
VAR_STR.fillna(0)
|
conala
|
12575421-53
|
convert a 1d `A` array to a 2d array `B`
|
B = np.reshape(A, (-1, 2))
|
[
"numpy.reference.generated.numpy.reshape"
] |
VAR_STR = np.reshape(VAR_STR, (-1, 2))
|
conala
|
23612271-34
|
a sequence of empty lists of length `n`
|
[[] for _ in range(n)]
|
[
"python.library.functions#range"
] |
[[] for _ in range(VAR_STR)]
|
conala
|
10592674-55
|
update a list `l1` dictionaries with a key `count` and value from list `l2`
|
[dict(d, count=n) for d, n in zip(l1, l2)]
|
[
"python.library.functions#zip",
"python.library.stdtypes#dict"
] |
[dict(d, VAR_STR=n) for d, n in zip(VAR_STR, VAR_STR)]
|
conala
|
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