message_type
stringclasses 2
values | message
stringlengths 2
232
⌀ | message_id
int64 0
1
| conversation_id
int64 0
2.38k
|
|---|---|---|---|
instruction
| null | 0 | 100 |
output
|
driver.find_element_by_xpath('xpath').click()
| 1 | 100 |
instruction
|
count unique index values in column 'A' in pandas dataframe `ex`
| 0 | 101 |
output
|
ex.groupby(level='A').agg(lambda x: x.index.get_level_values(1).nunique())
| 1 | 101 |
instruction
|
Create a pandas dataframe of values from a dictionary `d` which contains dictionaries of dictionaries
| 0 | 102 |
output
|
pd.concat(map(pd.DataFrame, iter(d.values())), keys=list(d.keys())).stack().unstack(0)
| 1 | 102 |
instruction
|
find out the number of non-matched elements at the same index of list `a` and list `b`
| 0 | 103 |
output
|
sum(1 for i, j in zip(a, b) if i != j)
| 1 | 103 |
instruction
|
make all keys lowercase in dictionary `d`
| 0 | 104 |
output
|
d = {(a.lower(), b): v for (a, b), v in list(d.items())}
| 1 | 104 |
instruction
|
sort list `list_` based on first element of each tuple and by the length of the second element of each tuple
| 0 | 105 |
output
|
list_.sort(key=lambda x: [x[0], len(x[1]), x[1]])
| 1 | 105 |
instruction
|
trim whitespace in string `s`
| 0 | 106 |
output
|
s.strip()
| 1 | 106 |
instruction
|
trim whitespace (including tabs) in `s` on the left side
| 0 | 107 |
output
|
s = s.lstrip()
| 1 | 107 |
instruction
|
trim whitespace (including tabs) in `s` on the right side
| 0 | 108 |
output
|
s = s.rstrip()
| 1 | 108 |
instruction
|
trim characters ' \t\n\r' in `s`
| 0 | 109 |
output
|
s = s.strip(' \t\n\r')
| 1 | 109 |
instruction
|
trim whitespaces (including tabs) in string `s`
| 0 | 110 |
output
|
print(re.sub('[\\s+]', '', s))
| 1 | 110 |
instruction
|
In Django, filter `Task.objects` based on all entities in ['A', 'P', 'F']
| 0 | 111 |
output
|
Task.objects.exclude(prerequisites__status__in=['A', 'P', 'F'])
| 1 | 111 |
instruction
|
Change background color in Tkinter
| 0 | 112 |
output
|
root.configure(background='black')
| 1 | 112 |
instruction
|
convert dict `result` to numpy structured array
| 0 | 113 |
output
|
numpy.array([(key, val) for key, val in result.items()], dtype)
| 1 | 113 |
instruction
|
Concatenate dataframe `df_1` to dataframe `df_2` sorted by values of the column 'y'
| 0 | 114 |
output
|
pd.concat([df_1, df_2.sort_values('y')])
| 1 | 114 |
instruction
|
replace the last occurence of an expression '</div>' with '</bad>' in a string `s`
| 0 | 115 |
output
|
re.sub('(.*)</div>', '\\1</bad>', s)
| 1 | 115 |
instruction
|
get the maximum of 'salary' and 'bonus' values in a dictionary
| 0 | 116 |
output
|
print(max(d, key=lambda x: (d[x]['salary'], d[x]['bonus'])))
| 1 | 116 |
instruction
|
Filter Django objects by `author` with ids `1` and `2`
| 0 | 117 |
output
|
Book.objects.filter(author__id=1).filter(author__id=2)
| 1 | 117 |
instruction
|
split string 'fooxyzbar' based on case-insensitive matching using string 'XYZ'
| 0 | 118 |
output
|
re.compile('XYZ', re.IGNORECASE).split('fooxyzbar')
| 1 | 118 |
instruction
|
get list of sums of neighboring integers in string `example`
| 0 | 119 |
output
|
[sum(map(int, s)) for s in example.split()]
| 1 | 119 |
instruction
|
Get all the keys from dictionary `y` whose value is `1`
| 0 | 120 |
output
|
[i for i in y if y[i] == 1]
| 1 | 120 |
instruction
|
converting byte string `c` in unicode string
| 0 | 121 |
output
|
c.decode('unicode_escape')
| 1 | 121 |
instruction
|
unpivot first 2 columns into new columns 'year' and 'value' from a pandas dataframe `x`
| 0 | 122 |
output
|
pd.melt(x, id_vars=['farm', 'fruit'], var_name='year', value_name='value')
| 1 | 122 |
instruction
|
add key "item3" and value "3" to dictionary `default_data `
| 0 | 123 |
output
|
default_data['item3'] = 3
| 1 | 123 |
instruction
|
add key "item3" and value "3" to dictionary `default_data `
| 0 | 124 |
output
|
default_data.update({'item3': 3, })
| 1 | 124 |
instruction
|
add key value pairs 'item4' , 4 and 'item5' , 5 to dictionary `default_data`
| 0 | 125 |
output
|
default_data.update({'item4': 4, 'item5': 5, })
| 1 | 125 |
instruction
|
Get the first and last 3 elements of list `l`
| 0 | 126 |
output
|
l[:3] + l[-3:]
| 1 | 126 |
instruction
|
reset index to default in dataframe `df`
| 0 | 127 |
output
|
df = df.reset_index(drop=True)
| 1 | 127 |
instruction
|
For each index `x` from 0 to 3, append the element at index `x` of list `b` to the list at index `x` of list a.
| 0 | 128 |
output
|
[a[x].append(b[x]) for x in range(3)]
| 1 | 128 |
instruction
|
get canonical path of the filename `path`
| 0 | 129 |
output
|
os.path.realpath(path)
| 1 | 129 |
instruction
|
check if dictionary `L[0].f.items()` is in dictionary `a3.f.items()`
| 0 | 130 |
output
|
set(L[0].f.items()).issubset(set(a3.f.items()))
| 1 | 130 |
instruction
|
find all the indexes in a Numpy 2D array where the value is 1
| 0 | 131 |
output
|
zip(*np.where(a == 1))
| 1 | 131 |
instruction
| null | 0 | 132 |
output
|
np.where(a == 1)
| 1 | 132 |
instruction
|
Collapse hierarchical column index to level 0 in dataframe `df`
| 0 | 133 |
output
|
df.columns = df.columns.get_level_values(0)
| 1 | 133 |
instruction
|
create a matrix from a list `[1, 2, 3]`
| 0 | 134 |
output
|
x = scipy.matrix([1, 2, 3]).transpose()
| 1 | 134 |
instruction
|
add character '@' after word 'get' in string `text`
| 0 | 135 |
output
|
text = re.sub('(\\bget\\b)', '\\1@', text)
| 1 | 135 |
instruction
|
get a numpy array that contains the element wise minimum of three 3x1 arrays
| 0 | 136 |
output
|
np.array([np.arange(3), np.arange(2, -1, -1), np.ones((3,))]).min(axis=0)
| 1 | 136 |
instruction
|
add a column 'new_col' to dataframe `df` for index in range
| 0 | 137 |
output
|
df['new_col'] = list(range(1, len(df) + 1))
| 1 | 137 |
instruction
|
set environment variable 'DEBUSSY' equal to 1
| 0 | 138 |
output
|
os.environ['DEBUSSY'] = '1'
| 1 | 138 |
instruction
|
Get a environment variable `DEBUSSY`
| 0 | 139 |
output
|
print(os.environ['DEBUSSY'])
| 1 | 139 |
instruction
|
set environment variable 'DEBUSSY' to '1'
| 0 | 140 |
output
|
os.environ['DEBUSSY'] = '1'
| 1 | 140 |
instruction
|
update dictionary `b`, overwriting values where keys are identical, with contents of dictionary `d`
| 0 | 141 |
output
|
b.update(d)
| 1 | 141 |
instruction
|
get all the values in column `b` from pandas data frame `df`
| 0 | 142 |
output
|
df['b']
| 1 | 142 |
instruction
|
make a line plot with errorbars, `ebar`, from data `x, y, err` and set color of the errorbars to `y` (yellow)
| 0 | 143 |
output
|
ebar = plt.errorbar(x, y, yerr=err, ecolor='y')
| 1 | 143 |
instruction
|
find all files with extension '.c' in directory `folder`
| 0 | 144 |
output
|
results += [each for each in os.listdir(folder) if each.endswith('.c')]
| 1 | 144 |
instruction
|
add unicode string '1' to UTF-8 decoded string '\xc2\xa3'
| 0 | 145 |
output
|
print('\xc2\xa3'.decode('utf8') + '1')
| 1 | 145 |
instruction
|
lower-case the string obtained by replacing the occurrences of regex pattern '(?<=[a-z])([A-Z])' in string `s` with eplacement '-\\1'
| 0 | 146 |
output
|
re.sub('(?<=[a-z])([A-Z])', '-\\1', s).lower()
| 1 | 146 |
instruction
| null | 0 | 147 |
output
|
os.system('ulimit -s unlimited; some_executable')
| 1 | 147 |
instruction
|
format a string `num` using string formatting
| 0 | 148 |
output
|
"""{0:.3g}""".format(num)
| 1 | 148 |
instruction
|
append the first element of array `a` to array `a`
| 0 | 149 |
output
|
numpy.append(a, a[0])
| 1 | 149 |
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