message_type
stringclasses
2 values
message
stringlengths
2
232
message_id
int64
0
1
conversation_id
int64
0
2.38k
instruction
check if list `a` is empty
0
900
output
if (not a): pass
1
900
instruction
check if list `seq` is empty
0
901
output
if (not seq): pass
1
901
instruction
check if list `li` is empty
0
902
output
if (len(li) == 0): pass
1
902
instruction
create a list containing the indices of elements greater than 4 in list `a`
0
903
output
[i for i, v in enumerate(a) if v > 4]
1
903
instruction
reverse list `yourdata`
0
904
output
sorted(yourdata, reverse=True)
1
904
instruction
sort list of nested dictionaries `yourdata` in reverse based on values associated with each dictionary's key 'subkey'
0
905
output
sorted(yourdata, key=lambda d: d.get('key', {}).get('subkey'), reverse=True)
1
905
instruction
sort list of nested dictionaries `yourdata` in reverse order of 'key' and 'subkey'
0
906
output
yourdata.sort(key=lambda e: e['key']['subkey'], reverse=True)
1
906
instruction
remove decimal points in pandas data frame using round
0
907
output
df.round()
1
907
instruction
Get data from matplotlib plot
0
908
output
gca().get_lines()[n].get_xydata()
1
908
instruction
get the maximum 2 values per row in array `A`
0
909
output
A[:, -2:]
1
909
instruction
Get value for "username" parameter in GET request in Django
0
910
output
request.GET.get('username', '')
1
910
instruction
pretty-print ordered dictionary `o`
0
911
output
pprint(dict(list(o.items())))
1
911
instruction
Confirm urls in Django properly
0
912
output
url('^$', include('sms.urls')),
1
912
instruction
Configure url in django properly
0
913
output
url('^', include('sms.urls')),
1
913
instruction
get the tuple in list `a_list` that has the largest item in the second index
0
914
output
max_item = max(a_list, key=operator.itemgetter(1))
1
914
instruction
find tuple in list of tuples `a_list` with the largest second element
0
915
output
max(a_list, key=operator.itemgetter(1))
1
915
instruction
resample series `s` into 3 months bins and sum each bin
0
916
output
s.resample('3M', how='sum')
1
916
instruction
extract elements at indices (1, 2, 5) from a list `a`
0
917
output
[a[i] for i in (1, 2, 5)]
1
917
instruction
filter lines from a text file 'textfile' which contain a word 'apple'
0
918
output
[line for line in open('textfile') if 'apple' in line]
1
918
instruction
convert a date string `s` to a datetime object
0
919
output
datetime.datetime.strptime(s, '%Y-%m-%dT%H:%M:%SZ')
1
919
instruction
reading tab-delimited csv file `filename` with pandas on mac
0
920
output
pandas.read_csv(filename, sep='\t', lineterminator='\r')
1
920
instruction
replace only first occurence of string `TEST` from a string `longlongTESTstringTEST`
0
921
output
'longlongTESTstringTEST'.replace('TEST', '?', 1)
1
921
instruction
zip file `pdffile` using its basename as directory name
0
922
output
archive.write(pdffile, os.path.basename(pdffile))
1
922
instruction
create a dictionary of pairs from a list of tuples `myListOfTuples`
0
923
output
dict(x[1:] for x in reversed(myListOfTuples))
1
923
instruction
subtract elements of list `List1` from elements of list `List2`
0
924
output
[(x1 - x2) for x1, x2 in zip(List1, List2)]
1
924
instruction
check if string `string` starts with a number
0
925
output
string[0].isdigit()
1
925
instruction
Check if string `strg` starts with any of the elements in list ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
0
926
output
strg.startswith(('0', '1', '2', '3', '4', '5', '6', '7', '8', '9'))
1
926
instruction
print script's directory
0
927
output
print(os.path.dirname(os.path.realpath(__file__)))
1
927
instruction
split string `text` by the occurrences of regex pattern '(?<=\\?|!|\\.)\\s{0,2}(?=[A-Z]|$)'
0
928
output
re.split('(?<=\\?|!|\\.)\\s{0,2}(?=[A-Z]|$)', text)
1
928
instruction
Make a scatter plot using unpacked values of list `li`
0
929
output
plt.scatter(*zip(*li))
1
929
instruction
rearrange tuple of tuples `t`
0
930
output
tuple(zip(*t))
1
930
instruction
Get average for every three columns in `df` dataframe
0
931
output
df.groupby(np.arange(len(df.columns)) // 3, axis=1).mean()
1
931
instruction
convert a list `L` of ascii values to a string
0
932
output
"""""".join(chr(i) for i in L)
1
932
instruction
count the number of pairs in dictionary `d` whose value equal to `chosen_value`
0
933
output
sum(x == chosen_value for x in list(d.values()))
1
933
instruction
count the number of values in `d` dictionary that are predicate to function `some_condition`
0
934
output
sum(1 for x in list(d.values()) if some_condition(x))
1
934
instruction
convert double 0.00582811585976 to float
0
935
output
struct.unpack('f', struct.pack('f', 0.00582811585976))
1
935
instruction
convert datetime.date `dt` to utc timestamp
0
936
output
timestamp = (dt - datetime(1970, 1, 1)).total_seconds()
1
936
instruction
sort column `m` in panda dataframe `df`
0
937
output
df.sort('m')
1
937
instruction
Sort a data `a` in descending order based on the `modified` attribute of elements using lambda function
0
938
output
a = sorted(a, key=lambda x: x.modified, reverse=True)
1
938
instruction
print the truth value of `a`
0
939
output
print(bool(a))
1
939
instruction
rename `last` row index label in dataframe `df` to `a`
0
940
output
df = df.rename(index={last: 'a'})
1
940
instruction
Fit Kmeans function to a one-dimensional array `x` by reshaping it to be a multidimensional array of single values
0
941
output
km.fit(x.reshape(-1, 1))
1
941
instruction
Sort a list of strings 'words' such that items starting with 's' come first.
0
942
output
sorted(words, key=lambda x: 'a' + x if x.startswith('s') else 'b' + x)
1
942
instruction
open the login site 'http://somesite.com/adminpanel/index.php' in the browser
0
943
output
webbrowser.open('http://somesite.com/adminpanel/index.php')
1
943
instruction
fetch all elements in a dictionary `parent_dict`, falling between two keys 2 and 4
0
944
output
dict((k, v) for k, v in parent_dict.items() if 2 < k < 4)
1
944
instruction
fetch all elements in a dictionary 'parent_dict' where the key is between the range of 2 to 4
0
945
output
dict((k, v) for k, v in parent_dict.items() if k > 2 and k < 4)
1
945
instruction
sort two lists `list1` and `list2` together using lambda function
0
946
output
[list(x) for x in zip(*sorted(zip(list1, list2), key=lambda pair: pair[0]))]
1
946
instruction
get the number of values in list `j` that is greater than 5
0
947
output
sum(((i > 5) for i in j))
1
947
instruction
get the number of values in list `j` that is greater than 5
0
948
output
len([1 for i in j if (i > 5)])
1
948
instruction
get the number of values in list `j` that is greater than `i`
0
949
output
j = np.array(j) sum((j > i))
1
949