message_type
stringclasses 2
values | message
stringlengths 2
232
⌀ | message_id
int64 0
1
| conversation_id
int64 0
2.38k
|
|---|---|---|---|
instruction
|
convert `a` to string
| 0 | 500 |
output
|
str(a)
| 1 | 500 |
instruction
|
sort list of lists `L` by the second item in each list
| 0 | 501 |
output
|
L.sort(key=operator.itemgetter(1))
| 1 | 501 |
instruction
|
Print variable `count` and variable `conv` with space string ' ' in between
| 0 | 502 |
output
|
print(str(count) + ' ' + str(conv))
| 1 | 502 |
instruction
|
change NaN values in dataframe `df` using preceding values in the frame
| 0 | 503 |
output
|
df.fillna(method='ffill', inplace=True)
| 1 | 503 |
instruction
|
change the state of the Tkinter `Text` widget to read only i.e. `disabled`
| 0 | 504 |
output
|
text.config(state=DISABLED)
| 1 | 504 |
instruction
|
python sum of ascii values of all characters in a string `string`
| 0 | 505 |
output
|
sum(map(ord, string))
| 1 | 505 |
instruction
|
apply itertools.product to elements of a list of lists `arrays`
| 0 | 506 |
output
|
list(itertools.product(*arrays))
| 1 | 506 |
instruction
|
print number `value` as thousands separators
| 0 | 507 |
output
|
'{:,}'.format(value)
| 1 | 507 |
instruction
|
print number 1255000 as thousands separators
| 0 | 508 |
output
|
locale.setlocale(locale.LC_ALL, 'en_US')
locale.format('%d', 1255000, grouping=True)
| 1 | 508 |
instruction
|
get rows of dataframe `df` where column `Col1` has values `['men', 'rocks', 'mountains']`
| 0 | 509 |
output
|
df[df.Col1.isin(['men', 'rocks', 'mountains'])]
| 1 | 509 |
instruction
|
get the value at index 1 for each tuple in the list of tuples `L`
| 0 | 510 |
output
|
[x[1] for x in L]
| 1 | 510 |
instruction
|
split unicode string "раз два три" into words
| 0 | 511 |
output
|
'\u0440\u0430\u0437 \u0434\u0432\u0430 \u0442\u0440\u0438'.split()
| 1 | 511 |
instruction
|
sort query set by number of characters in a field `length` in django model `MyModel`
| 0 | 512 |
output
|
MyModel.objects.extra(select={'length': 'Length(name)'}).order_by('length')
| 1 | 512 |
instruction
|
get a dictionary in list `dicts` which key 'ratio' is closer to a global value 1.77672955975
| 0 | 513 |
output
|
min(dicts, key=lambda x: (abs(1.77672955975 - x['ratio']), -x['pixels']))
| 1 | 513 |
instruction
|
get the non-masked values of array `m`
| 0 | 514 |
output
|
m[~m.mask]
| 1 | 514 |
instruction
|
Find all words containing letters between A and Z in string `formula`
| 0 | 515 |
output
|
re.findall('\\b[A-Z]', formula)
| 1 | 515 |
instruction
|
create a list `matrix` containing 5 lists, each of 5 items all set to 0
| 0 | 516 |
output
|
matrix = [([0] * 5) for i in range(5)]
| 1 | 516 |
instruction
|
creating a numpy array of 3d coordinates from three 1d arrays `x_p`, `y_p` and `z_p`
| 0 | 517 |
output
|
np.vstack(np.meshgrid(x_p, y_p, z_p)).reshape(3, -1).T
| 1 | 517 |
instruction
|
find the minimum value in a numpy array `arr` excluding 0
| 0 | 518 |
output
|
arr[arr != 0].min()
| 1 | 518 |
instruction
|
get the text of multiple elements found by xpath "//*[@type='submit']/@value"
| 0 | 519 |
output
|
browser.find_elements_by_xpath("//*[@type='submit']/@value").text
| 1 | 519 |
instruction
|
find all the values in attribute `value` for the tags whose `type` attribute is `submit` in selenium
| 0 | 520 |
output
|
browser.find_elements_by_xpath("//*[@type='submit']").get_attribute('value')
| 1 | 520 |
instruction
|
parse a YAML file "example.yaml"
| 0 | 521 |
output
|
with open('example.yaml', 'r') as stream:
try:
print((yaml.load(stream)))
except yaml.YAMLError as exc:
print(exc)
| 1 | 521 |
instruction
|
parse a YAML file "example.yaml"
| 0 | 522 |
output
|
with open('example.yaml') as stream:
try:
print((yaml.load(stream)))
except yaml.YAMLError as exc:
print(exc)
| 1 | 522 |
instruction
|
Sort the values of the dataframe `df` and align the columns accordingly based on the obtained indices after np.argsort.
| 0 | 523 |
output
|
pd.DataFrame(df.columns[np.argsort(df.values)], df.index, np.unique(df.values))
| 1 | 523 |
instruction
|
Getting today's date in YYYY-MM-DD
| 0 | 524 |
output
|
datetime.datetime.today().strftime('%Y-%m-%d')
| 1 | 524 |
instruction
|
urlencode a querystring 'string_of_characters_like_these:$#@=?%^Q^$' in python 2
| 0 | 525 |
output
|
urllib.parse.quote_plus('string_of_characters_like_these:$#@=?%^Q^$')
| 1 | 525 |
instruction
|
sort a dictionary `d` by length of its values and print as string
| 0 | 526 |
output
|
print(' '.join(sorted(d, key=lambda k: len(d[k]), reverse=True)))
| 1 | 526 |
instruction
|
convert tuple elements in list `[(1,2),(3,4),(5,6),]` into lists
| 0 | 527 |
output
|
map(list, zip(*[(1, 2), (3, 4), (5, 6)]))
| 1 | 527 |
instruction
| null | 0 | 528 |
output
|
map(list, zip(*[(1, 2), (3, 4), (5, 6)]))
| 1 | 528 |
instruction
| null | 0 | 529 |
output
|
zip(*[(1, 2), (3, 4), (5, 6)])
| 1 | 529 |
instruction
|
create a list of tuples which contains number 9 and the number before it, for each occurrence of 9 in the list 'myList'
| 0 | 530 |
output
|
[(x, y) for x, y in zip(myList, myList[1:]) if y == 9]
| 1 | 530 |
instruction
|
navigate to webpage given by url `http://www.python.org` using Selenium
| 0 | 531 |
output
|
driver.get('http://www.google.com.br')
| 1 | 531 |
instruction
|
reverse a UTF-8 string 'a'
| 0 | 532 |
output
|
b = a.decode('utf8')[::-1].encode('utf8')
| 1 | 532 |
instruction
|
extract date from a string 'monkey 2010-07-32 love banana'
| 0 | 533 |
output
|
dparser.parse('monkey 2010-07-32 love banana', fuzzy=True)
| 1 | 533 |
instruction
|
extract date from a string 'monkey 20/01/1980 love banana'
| 0 | 534 |
output
|
dparser.parse('monkey 20/01/1980 love banana', fuzzy=True)
| 1 | 534 |
instruction
|
extract date from a string `monkey 10/01/1980 love banana`
| 0 | 535 |
output
|
dparser.parse('monkey 10/01/1980 love banana', fuzzy=True)
| 1 | 535 |
instruction
|
Convert a list `['A:1', 'B:2', 'C:3', 'D:4']` to dictionary
| 0 | 536 |
output
|
dict(map(lambda s: s.split(':'), ['A:1', 'B:2', 'C:3', 'D:4']))
| 1 | 536 |
instruction
|
check if string `the_string` contains any upper or lower-case ASCII letters
| 0 | 537 |
output
|
re.search('[a-zA-Z]', the_string)
| 1 | 537 |
instruction
|
convert a pandas `df1` groupby object to dataframe
| 0 | 538 |
output
|
DataFrame({'count': df1.groupby(['Name', 'City']).size()}).reset_index()
| 1 | 538 |
instruction
|
remove all non-numeric characters from string `sdkjh987978asd098as0980a98sd `
| 0 | 539 |
output
|
re.sub('[^0-9]', '', 'sdkjh987978asd098as0980a98sd')
| 1 | 539 |
instruction
|
get items from list `a` that don't appear in list `b`
| 0 | 540 |
output
|
[y for y in a if y not in b]
| 1 | 540 |
instruction
|
extract the first four rows of the column `ID` from a pandas dataframe `df`
| 0 | 541 |
output
|
df.groupby('ID').head(4)
| 1 | 541 |
instruction
|
Unzip a list of tuples `l` into a list of lists
| 0 | 542 |
output
|
zip(*l)
| 1 | 542 |
instruction
|
combine two lists `[1, 2, 3, 4]` and `['a', 'b', 'c', 'd']` into a dictionary
| 0 | 543 |
output
|
dict(zip([1, 2, 3, 4], ['a', 'b', 'c', 'd']))
| 1 | 543 |
instruction
|
combine two lists `[1, 2, 3, 4]` and `['a', 'b', 'c', 'd']` into a dictionary
| 0 | 544 |
output
|
dict(zip([1, 2, 3, 4], ['a', 'b', 'c', 'd']))
| 1 | 544 |
instruction
|
retrieve the path from a Flask request
| 0 | 545 |
output
|
request.url
| 1 | 545 |
instruction
|
replace carriage return in string `somestring` with empty string ''
| 0 | 546 |
output
|
somestring.replace('\\r', '')
| 1 | 546 |
instruction
|
serialize dictionary `d` as a JSON formatted string with each key formatted to pattern '%d,%d'
| 0 | 547 |
output
|
simplejson.dumps(dict([('%d,%d' % k, v) for k, v in list(d.items())]))
| 1 | 547 |
instruction
|
parse string "Jun 1 2005 1:33PM" into datetime by format "%b %d %Y %I:%M%p"
| 0 | 548 |
output
|
datetime.strptime('Jun 1 2005 1:33PM', '%b %d %Y %I:%M%p')
| 1 | 548 |
instruction
|
parse string "Aug 28 1999 12:00AM" into datetime
| 0 | 549 |
output
|
parser.parse('Aug 28 1999 12:00AM')
| 1 | 549 |
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