message_type
stringclasses 2
values | message
stringlengths 2
232
⌀ | message_id
int64 0
1
| conversation_id
int64 0
2.38k
|
|---|---|---|---|
instruction
|
get a sum of 4d array `M`
| 0 | 450 |
output
|
M.sum(axis=0).sum(axis=0)
| 1 | 450 |
instruction
|
Convert a datetime object `dt` to microtime
| 0 | 451 |
output
|
time.mktime(dt.timetuple()) + dt.microsecond / 1000000.0
| 1 | 451 |
instruction
|
select all rows in dataframe `df` where the values of column 'columnX' is bigger than or equal to `x` and smaller than or equal to `y`
| 0 | 452 |
output
|
df[(x <= df['columnX']) & (df['columnX'] <= y)]
| 1 | 452 |
instruction
|
sort a list of lists `L` by index 2 of the inner list
| 0 | 453 |
output
|
sorted(L, key=itemgetter(2))
| 1 | 453 |
instruction
|
sort a list of lists `l` by index 2 of the inner list
| 0 | 454 |
output
|
l.sort(key=(lambda x: x[2]))
| 1 | 454 |
instruction
|
sort list `l` by index 2 of the item
| 0 | 455 |
output
|
sorted(l, key=(lambda x: x[2]))
| 1 | 455 |
instruction
|
sort a list of lists `list_to_sort` by indices 2,0,1 of the inner list
| 0 | 456 |
output
|
sorted_list = sorted(list_to_sort, key=itemgetter(2, 0, 1))
| 1 | 456 |
instruction
|
find rows of 2d array in 3d numpy array 'arr' if the row has value '[[0, 3], [3, 0]]'
| 0 | 457 |
output
|
np.argwhere(np.all(arr == [[0, 3], [3, 0]], axis=(1, 2)))
| 1 | 457 |
instruction
|
From multiIndexed dataframe `data` select columns `a` and `c` within each higher order column `one` and `two`
| 0 | 458 |
output
|
data.loc[:, (list(itertools.product(['one', 'two'], ['a', 'c'])))]
| 1 | 458 |
instruction
|
select only specific columns 'a' and 'c' from a dataframe 'data' with multiindex columns
| 0 | 459 |
output
|
data.loc[:, ([('one', 'a'), ('one', 'c'), ('two', 'a'), ('two', 'c')])]
| 1 | 459 |
instruction
|
match a sharp, followed by letters (including accent characters) in string `str1` using a regex
| 0 | 460 |
output
|
hashtags = re.findall('#(\\w+)', str1, re.UNICODE)
| 1 | 460 |
instruction
|
Rename file from `src` to `dst`
| 0 | 461 |
output
|
os.rename(src, dst)
| 1 | 461 |
instruction
|
Get all texts and tags from a tag `strong` from etree tag `some_tag` using lxml
| 0 | 462 |
output
|
print(etree.tostring(some_tag.find('strong')))
| 1 | 462 |
instruction
|
Serialize dictionary `data` and its keys to a JSON formatted string
| 0 | 463 |
output
|
json.dumps({str(k): v for k, v in data.items()})
| 1 | 463 |
instruction
|
parse UTF-8 encoded HTML response `response` to BeautifulSoup object
| 0 | 464 |
output
|
soup = BeautifulSoup(response.read().decode('utf-8'))
| 1 | 464 |
instruction
|
delete file `filename`
| 0 | 465 |
output
|
os.remove(filename)
| 1 | 465 |
instruction
|
get the next value greatest to `2` from a list of numbers `num_list`
| 0 | 466 |
output
|
min([x for x in num_list if x > 2])
| 1 | 466 |
instruction
|
Replace each value in column 'prod_type' of dataframe `df` with string 'responsive'
| 0 | 467 |
output
|
df['prod_type'] = 'responsive'
| 1 | 467 |
instruction
|
sort list `lst` with positives coming before negatives with values sorted respectively
| 0 | 468 |
output
|
sorted(lst, key=lambda x: (x < 0, x))
| 1 | 468 |
instruction
|
get the date 6 months from today
| 0 | 469 |
output
|
six_months = (date.today() + relativedelta(months=(+ 6)))
| 1 | 469 |
instruction
|
get the date 1 month from today
| 0 | 470 |
output
|
(date(2010, 12, 31) + relativedelta(months=(+ 1)))
| 1 | 470 |
instruction
|
get the date 2 months from today
| 0 | 471 |
output
|
(date(2010, 12, 31) + relativedelta(months=(+ 2)))
| 1 | 471 |
instruction
|
calculate the date six months from the current date
| 0 | 472 |
output
|
print((datetime.date.today() + datetime.timedelta(((6 * 365) / 12))).isoformat())
| 1 | 472 |
instruction
|
get a list of keys of dictionary `things` sorted by the value of nested dictionary key 'weight'
| 0 | 473 |
output
|
sorted(list(things.keys()), key=lambda x: things[x]['weight'], reverse=True)
| 1 | 473 |
instruction
|
get all the values from a numpy array `a` excluding index 3
| 0 | 474 |
output
|
a[np.arange(len(a)) != 3]
| 1 | 474 |
instruction
|
delete all elements from a list `x` if a function `fn` taking value as parameter returns `0`
| 0 | 475 |
output
|
[x for x in lst if fn(x) != 0]
| 1 | 475 |
instruction
|
set dataframe `df` index using column 'month'
| 0 | 476 |
output
|
df.set_index('month')
| 1 | 476 |
instruction
|
read lines from a csv file `./urls-eu.csv` into a list of lists `arr`
| 0 | 477 |
output
|
arr = [line.split(',') for line in open('./urls-eu.csv')]
| 1 | 477 |
instruction
|
list comprehension that produces integers between 11 and 19
| 0 | 478 |
output
|
[i for i in range(100) if i > 10 if i < 20]
| 1 | 478 |
instruction
|
Get only digits from a string `strs`
| 0 | 479 |
output
|
"""""".join([c for c in strs if c.isdigit()])
| 1 | 479 |
instruction
|
split a string `yas` based on tab '\t'
| 0 | 480 |
output
|
re.split('\\t+', yas.rstrip('\t'))
| 1 | 480 |
instruction
|
scalar multiply matrix `a` by `b`
| 0 | 481 |
output
|
(a.T * b).T
| 1 | 481 |
instruction
|
remove trailing newline in string "test string\n"
| 0 | 482 |
output
|
'test string\n'.rstrip()
| 1 | 482 |
instruction
|
remove trailing newline in string 'test string \n\n'
| 0 | 483 |
output
|
'test string \n\n'.rstrip('\n')
| 1 | 483 |
instruction
|
remove newline in string `s`
| 0 | 484 |
output
|
s.strip()
| 1 | 484 |
instruction
|
remove newline in string `s` on the right side
| 0 | 485 |
output
|
s.rstrip()
| 1 | 485 |
instruction
|
remove newline in string `s` on the left side
| 0 | 486 |
output
|
s.lstrip()
| 1 | 486 |
instruction
|
remove newline in string 'Mac EOL\r'
| 0 | 487 |
output
|
'Mac EOL\r'.rstrip('\r\n')
| 1 | 487 |
instruction
|
remove newline in string 'Windows EOL\r\n' on the right side
| 0 | 488 |
output
|
'Windows EOL\r\n'.rstrip('\r\n')
| 1 | 488 |
instruction
|
remove newline in string 'Unix EOL\n' on the right side
| 0 | 489 |
output
|
'Unix EOL\n'.rstrip('\r\n')
| 1 | 489 |
instruction
|
remove newline in string "Hello\n\n\n" on the right side
| 0 | 490 |
output
|
'Hello\n\n\n'.rstrip('\n')
| 1 | 490 |
instruction
|
split string `text` into chunks of 16 characters each
| 0 | 491 |
output
|
re.findall('.{,16}\\b', text)
| 1 | 491 |
instruction
|
Get a list comprehension in list of lists `X`
| 0 | 492 |
output
|
[[X[i][j] for j in range(len(X[i]))] for i in range(len(X))]
| 1 | 492 |
instruction
|
convert unicode string '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0' to byte string
| 0 | 493 |
output
|
'\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0'.encode('latin-1')
| 1 | 493 |
instruction
|
split dataframe `df` where the value of column `a` is equal to 'B'
| 0 | 494 |
output
|
df.groupby((df.a == 'B').shift(1).fillna(0).cumsum())
| 1 | 494 |
instruction
|
save json output from a url ‘http://search.twitter.com/search.json?q=hi’ to file ‘hi.json’ in Python 2
| 0 | 495 |
output
|
urllib.request.urlretrieve('http://search.twitter.com/search.json?q=hi', 'hi.json')
| 1 | 495 |
instruction
|
Find indices of elements equal to zero from numpy array `x`
| 0 | 496 |
output
|
numpy.where((x == 0))[0]
| 1 | 496 |
instruction
|
flush output of python print
| 0 | 497 |
output
|
sys.stdout.flush()
| 1 | 497 |
instruction
|
convert `i` to string
| 0 | 498 |
output
|
str(i)
| 1 | 498 |
instruction
|
convert `a` to string
| 0 | 499 |
output
|
a.__str__()
| 1 | 499 |
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