message_type
stringclasses 2
values | message
stringlengths 2
232
⌀ | message_id
int64 0
1
| conversation_id
int64 0
2.38k
|
|---|---|---|---|
instruction
|
sort list `lst` based on each element's number of occurrences
| 0 | 400 |
output
|
sorted(lst, key=lambda x: (-1 * c[x], lst.index(x)))
| 1 | 400 |
instruction
|
Get the value with the maximum length in each column in array `foo`
| 0 | 401 |
output
|
[max(len(str(x)) for x in line) for line in zip(*foo)]
| 1 | 401 |
instruction
|
get the count of each unique value in column `Country` of dataframe `df` and store in column `Sum of Accidents`
| 0 | 402 |
output
|
df.Country.value_counts().reset_index(name='Sum of Accidents')
| 1 | 402 |
instruction
|
calculat the difference between each row and the row previous to it in dataframe `data`
| 0 | 403 |
output
|
data.set_index('Date').diff()
| 1 | 403 |
instruction
|
append values `[3, 4]` to a set `a`
| 0 | 404 |
output
|
a.update([3, 4])
| 1 | 404 |
instruction
|
set every two-stride far element to -1 starting from second element in array `a`
| 0 | 405 |
output
|
a[1::2] = -1
| 1 | 405 |
instruction
|
Get rank of rows from highest to lowest of dataframe `df`, grouped by value in column `group`, according to value in column `value`
| 0 | 406 |
output
|
df.groupby('group')['value'].rank(ascending=False)
| 1 | 406 |
instruction
|
convert js date object 'Tue, 22 Nov 2011 06:00:00 GMT' to python datetime
| 0 | 407 |
output
|
datetime.strptime('Tue, 22 Nov 2011 06:00:00 GMT', '%a, %d %b %Y %H:%M:%S %Z')
| 1 | 407 |
instruction
|
Convert a binary value '1633837924' to string
| 0 | 408 |
output
|
struct.pack('<I', 1633837924)
| 1 | 408 |
instruction
|
append string `foo` to list `list`
| 0 | 409 |
output
|
list.append('foo')
| 1 | 409 |
instruction
|
insert string `foo` at position `0` of list `list`
| 0 | 410 |
output
|
list.insert(0, 'foo')
| 1 | 410 |
instruction
|
convert keys in dictionary `thedict` into case insensitive
| 0 | 411 |
output
|
theset = set(k.lower() for k in thedict)
| 1 | 411 |
instruction
|
pad 'dog' up to a length of 5 characters with 'x'
| 0 | 412 |
output
|
"""{s:{c}^{n}}""".format(s='dog', n=5, c='x')
| 1 | 412 |
instruction
|
check if type of variable `s` is a string
| 0 | 413 |
output
|
isinstance(s, str)
| 1 | 413 |
instruction
|
check if type of a variable `s` is string
| 0 | 414 |
output
|
isinstance(s, str)
| 1 | 414 |
instruction
|
Convert list of dictionaries `L` into a flat dictionary
| 0 | 415 |
output
|
dict(pair for d in L for pair in list(d.items()))
| 1 | 415 |
instruction
|
merge a list of dictionaries in list `L` into a single dict
| 0 | 416 |
output
|
{k: v for d in L for k, v in list(d.items())}
| 1 | 416 |
instruction
|
sort a pandas data frame according to column `Peak` in ascending and `Weeks` in descending order
| 0 | 417 |
output
|
df.sort_values(['Peak', 'Weeks'], ascending=[True, False], inplace=True)
| 1 | 417 |
instruction
|
sort a pandas data frame by column `Peak` in ascending and `Weeks` in descending order
| 0 | 418 |
output
|
df.sort(['Peak', 'Weeks'], ascending=[True, False], inplace=True)
| 1 | 418 |
instruction
|
run the code contained in string "print('Hello')"
| 0 | 419 |
output
|
eval("print('Hello')")
| 1 | 419 |
instruction
|
creating a list of dictionaries [{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}]
| 0 | 420 |
output
|
[{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}]
| 1 | 420 |
instruction
| null | 0 | 421 |
output
|
[{'A': 1, 'C': 4, 'B': 2, 'D': 4}, {'A': 1, 'C': 4, 'B': 1, 'D': 5}]
| 1 | 421 |
instruction
|
get all possible combination of items from 2-dimensional list `a`
| 0 | 422 |
output
|
list(itertools.product(*a))
| 1 | 422 |
instruction
|
Get sum of values of columns 'Y1961', 'Y1962', 'Y1963' after group by on columns "Country" and "Item_code" in dataframe `df`.
| 0 | 423 |
output
|
df.groupby(['Country', 'Item_Code'])[['Y1961', 'Y1962', 'Y1963']].sum()
| 1 | 423 |
instruction
|
create list `done` containing permutations of each element in list `[a, b, c, d]` with variable `x` as tuples
| 0 | 424 |
output
|
done = [(el, x) for el in [a, b, c, d]]
| 1 | 424 |
instruction
|
remove Nan values from array `x`
| 0 | 425 |
output
|
x = x[numpy.logical_not(numpy.isnan(x))]
| 1 | 425 |
instruction
|
remove first directory from path '/First/Second/Third/Fourth/Fifth'
| 0 | 426 |
output
|
os.path.join(*x.split(os.path.sep)[2:])
| 1 | 426 |
instruction
|
Replace `;` with `:` in a string `line`
| 0 | 427 |
output
|
line = line.replace(';', ':')
| 1 | 427 |
instruction
|
call bash command 'tar c my_dir | md5sum' with pipe
| 0 | 428 |
output
|
subprocess.call('tar c my_dir | md5sum', shell=True)
| 1 | 428 |
instruction
|
Convert a hex string `437c2123 ` according to ascii value.
| 0 | 429 |
output
|
"""437c2123""".decode('hex')
| 1 | 429 |
instruction
|
Get a list of all fields in class `User` that are marked `required`
| 0 | 430 |
output
|
[k for k, v in User._fields.items() if v.required]
| 1 | 430 |
instruction
|
remove column by index `[:, 0:2]` in dataframe `df`
| 0 | 431 |
output
|
df = df.ix[:, 0:2]
| 1 | 431 |
instruction
|
change a string of integers `x` separated by spaces to a list of int
| 0 | 432 |
output
|
x = map(int, x.split())
| 1 | 432 |
instruction
|
convert a string of integers `x` separated by spaces to a list of integers
| 0 | 433 |
output
|
x = [int(i) for i in x.split()]
| 1 | 433 |
instruction
|
find element by css selector "input[onclick*='1 Bedroom Deluxe']"
| 0 | 434 |
output
|
driver.find_element_by_css_selector("input[onclick*='1 Bedroom Deluxe']")
| 1 | 434 |
instruction
| null | 0 | 435 |
output
|
re.sub('[^a-zA-Z0-9-_*.]', '', my_string)
| 1 | 435 |
instruction
|
display a pdf file that has been downloaded as `my_pdf.pdf`
| 0 | 436 |
output
|
webbrowser.open('file:///my_pdf.pdf')
| 1 | 436 |
instruction
|
replace backslashes in string `result` with empty string ''
| 0 | 437 |
output
|
result = result.replace('\\', '')
| 1 | 437 |
instruction
|
remove backslashes from string `result`
| 0 | 438 |
output
|
result.replace('\\', '')
| 1 | 438 |
instruction
|
replace value '-' in any column of pandas dataframe to "NaN"
| 0 | 439 |
output
|
df.replace('-', 'NaN')
| 1 | 439 |
instruction
|
convert datetime object to date object in python
| 0 | 440 |
output
|
datetime.datetime.now().date()
| 1 | 440 |
instruction
| null | 0 | 441 |
output
|
datetime.datetime.now().date()
| 1 | 441 |
instruction
|
get all sub-elements of an element `a` in an elementtree
| 0 | 442 |
output
|
[elem.tag for elem in a.iter()]
| 1 | 442 |
instruction
|
get all sub-elements of an element tree `a` excluding the root element
| 0 | 443 |
output
|
[elem.tag for elem in a.iter() if elem is not a]
| 1 | 443 |
instruction
| null | 0 | 444 |
output
|
"""2.7.0_bf4fda703454""".split('_')
| 1 | 444 |
instruction
|
move dictionaries in list `lst` to the end of the list if value of key 'language' in each dictionary is not equal to 'en'
| 0 | 445 |
output
|
sorted(lst, key=lambda x: x['language'] != 'en')
| 1 | 445 |
instruction
|
check if all values of a dictionary `your_dict` are zero `0`
| 0 | 446 |
output
|
all(value == 0 for value in list(your_dict.values()))
| 1 | 446 |
instruction
|
produce a pivot table as dataframe using column 'Y' in datafram `df` to form the axes of the resulting dataframe
| 0 | 447 |
output
|
df.pivot_table('Y', rows='X', cols='X2')
| 1 | 447 |
instruction
|
call `doSomething()` in a try-except without handling the exception
| 0 | 448 |
output
|
try:
doSomething()
except:
pass
| 1 | 448 |
instruction
|
call `doSomething()` in a try-except without handling the exception
| 0 | 449 |
output
|
try:
doSomething()
except Exception:
pass
| 1 | 449 |
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