question stringlengths 11 198 ⌀ | code stringlengths 0 12.1k |
|---|---|
null | df2.reset_index(drop=True) |
null | subprocess.Popen(executable, creationflags=DETACHED_PROCESS, close_fds=True) |
null | print(list(sampleDict.values())[0].keys()[0]) |
null | [(n / d) for n, d in (map(float, i.split('/')) for i in data)] |
null | bins = np.linspace(0, 360, 10) |
null | br.set_handle_robots(False) |
null | df.groupby('a')['b'].apply(list) |
null | sys.exit() |
null | Activity.objects.filter(list__topic=my_topic) |
null | sum([i for i in range(1000) if i % 3 == 0 or i % 5 == 0]) |
null | sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) |
null | Popen(['python', 'StripCore.py']) |
null | p.add_argument('--sizes', type=pair, nargs='+') |
null | range(N, -1, -1) |
null | plt.gca().invert_yaxis() |
null | df['A'].replace(to_replace=0, method='ffill') |
null | np.asarray(V).min(0) |
null | df['last_updated_time'] = d.dt.strftime('%H:%M:%S') |
null | display_axes.set_rlim([-1, 1]) |
null | x[:, 1::2] |
null | print(os.path.join(path, filename)) |
null | ds.loc['wiki':'wikj'] |
null | soup.select('tr.colour.blue') |
null | soup.findAll('meta', name=re.compile('^description$', re.I)) |
null | ax.spines['top'].set_visible(False) |
null | os.system('scp FILE USER@SERVER:PATH') |
null | self.setWindowTitle('') |
null | print(re.sub('(\\\\u[0-9A-Fa-f]+)', unescapematch, 'Wi\\u2011Fi')) |
null | np.einsum('ij,jk->jik', A, B) |
null | {'label_Bbb': 'hereaswell', 'labelA': 'thereissomethinghere'} |
null | """^[ \\t]*#define(.*\\\\\\n)+.*$""" |
null | df2.columns = ['letter', 'num'] |
null | [e for i, e in enumerate(main_list) if i in indexes] |
null | getattr(this_prize, choice) |
null | print(find_words('tableprechaun', words=set(['tab', 'table', 'leprechaun']))) |
null | return qs.values('date').annotate(Sum('amount')).order_by('date') |
null | painter.restore() |
null | from functools import reduce
reduce(lambda x, y: x.replace(y, dict[y]), dict, s) |
null | ssh.exec_command('. .profile ; cd /home/test/;$run ./test.sh') |
null | sorted(zipped, key=operator.itemgetter(1)) |
null | csv.reader(upload_file, delimiter=',', quotechar='"') |
null | y = set(x.flatten()) |
null | [sum(x) for x in zip(*lists_of_lists)] |
null | np.isclose([10000000000.0, 1e-07], [10000100000.0, 1e-08]) |
null | os.system('gpio mode 6 out && gpio mode 5 out') |
null | nx.draw_networkx_edges(G, pos, edgelist=black_edges, arrows=False) |
null | 0, '2012-11-06T16:23:36-05:00', 0, None, 23759918, 'baseline', '0 to 100', null, 105114, 2009524, True, 'charge', 'Charge' |
null | self.cdr = cdr |
null | list(pad([1, 2, 3], 7, '')) |
null | raise NotImplementedError('Subclasses should implement this!') |
null | print('\n'.join([x.rsplit(None, 1)[0] for x in target.strip().split('\n')])) |
null | Cordi1 = [[int(i) for i in line.split()] for line in data] |
null | response = opener.open('http://www.google.com/') |
null | [[]] * 10 |
null | os.chdir('l:\\') |
null | p.start() |
null | df.groupby([df.index.date, 'action']).count() |
null | print(open('FILE-WITH-STRING', 'rb').read().decode('base64')) |
null | test.f(0) |
null | return ''.join(random.choice(char) for x in range(length)) |
null | numpy.argwhere(a.max() == a) |
null | im = Image.open(image_file) |
null | ['x', 'y', 'z', 'car', 'bus', 'a', 'b', 'c', 'car', '!'] |
null | writer.writerows(['Hi, there']) |
null | myShelvedDict.update(myDict) |
null | driver.send_keys(Keys.CONTROL + 'Escape') |
null | np.mean(a, axis=1) |
null | print(wjdata['data']['current_condition'][0]['temp_C']) |
null | print(np.random.randint(0, 100, 10)) |
null | df1.join(df2, how='inner') |
null | sys.path.append('..') |
null | param, value = line.split('=', 1) |
null | 3 not in [1, 2, 'a'] |
null | df.groupby('d').apply(f) |
null | total = sum([int(i) for i in cost]) |
null | wildcards = ','.join(['%s'] * len(frame.columns)) |
null | return dict([k_v for k_v in list(d1.items()) if k_v[0] in d2 and d2[k_v[0]] == k_v[1]]) |
null | a = ['a', 'a', 'a', 'a', 'b', 'b', 'c', 'c', 'c', 'd', 'e', 'e', 'e', 'e', 'e'] |
null | df['date'] = pd.to_datetime(df['date']) |
null | sum(int(i) for i in data) |
null | array([0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0]) |
null | [list(itertools.chain(*x)) for x in zip(L1, L2)] |
null | int(sum(jdcal.gcal2jd(dt.year, dt.month, dt.day))) |
null | ts.reindex(pd.date_range(min(date_index), max(date_index))) |
null | yourlist = ['{}_{}_{}'.format(s.rsplit('_', 2)[0], x, y) for s in yourlist] |
null | AtB = A.stack(0).dot(twos).unstack() |
null | print(pd.merge(df1, df2, on='B')['B']) |
null | print(date(today.year + 1, today.month, today.day)) |
null | a.transpose(2, 1, 0) |
null | urlpatterns = patterns('kiosks.views', url('^([\\w ]+)/$', 'dashboard')) |
null | format(x, ',').replace(',', '.') |
null | ham.__class__.__name__ |
null | """.*?\\b""" |
null | re.sub('\\d+', lambda x: x.group().zfill(padding), s) |
null | df.C[df.B == 'x'] = df.C.shift(-1) |
null | total = sum(int(r[1]) for r in csv.reader(fin)) |
null | plt.savefig('figure%d.png' % i) |
null | savetxt(fname='newPicksData.txt', X=new_picks.astype(int), fmt='%.0f\n') |
null | return ''.join(parts) |
null | str = re.sub(',(?=[^"]*"[^"]*$)', '@', str) |
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