async def scatter(self, ctx, *args):
"""Plot Codeforces rating overlaid on a scatter plot of problems solved.
Also plots a running average of ratings of problems solved in practice."""
filt = cf_common.SubFilter()
args = filt.parse(args)
handle, bin_size, point_size = None, 10, 3
for arg in args:
if arg[0:2] == 'b=':
bin_size = int(arg[2:])
elif arg[0:2] == 's=':
point_size = int(arg[2:])
else:
if handle:
raise GraphCogError('Only one handle allowed.')
handle = arg
if bin_size < 1 or point_size < 1 or point_size > 100:
raise GraphCogError('Invalid parameters')
handle = handle or '!' + str(ctx.author)
handle, = await cf_common.resolve_handles(ctx, self.converter, (handle,))
rating_resp = [await cf.user.rating(handle=handle)]
rating_resp = [filt.filter_rating_changes(rating_changes) for rating_changes in rating_resp]
submissions = filt.filter_subs(await cf.user.status(handle=handle))
def extract_time_and_rating(submissions):
return [(dt.datetime.fromtimestamp(sub.creationTimeSeconds), sub.problem.rating)
for sub in submissions]
if not any(submissions):
raise GraphCogError(f'No submissions for user `{handle}`')
solved_by_type = _classify_submissions(submissions)
regular = extract_time_and_rating(solved_by_type['CONTESTANT'] +
solved_by_type['OUT_OF_COMPETITION'])
practice = extract_time_and_rating(solved_by_type['PRACTICE'])
virtual = extract_time_and_rating(solved_by_type['VIRTUAL'])
plt.clf()
_plot_scatter(regular, practice, virtual, point_size)
labels = []
if practice:
labels.append('Practice')
if regular:
labels.append('Regular')
if virtual:
labels.append('Virtual')
plt.legend(labels, loc='upper left')
_plot_average(practice, bin_size)
_plot_rating(rating_resp, mark='')
# zoom
ymin, ymax = plt.gca().get_ylim()
plt.ylim(max(ymin, filt.rlo - 100), min(ymax, filt.rhi + 100))
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(title=f'Rating vs solved problem rating for {handle}')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def stalk(self, ctx, *args):
"""Print problems solved by user sorted by time (default) or rating.
All submission types are included by default (practice, contest, etc.)
"""
(hardest,), args = cf_common.filter_flags(args, ['+hardest'])
filt = cf_common.SubFilter(False)
args = filt.parse(args)
handles = args or ('!' + str(ctx.author),)
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
submissions = [await cf.user.status(handle=handle) for handle in handles]
submissions = [sub for subs in submissions for sub in subs]
submissions = filt.filter(submissions)
if not submissions:
raise CodeforcesCogError('Submissions not found within the search parameters')
if hardest:
submissions.sort(key=lambda sub: (sub.problem.rating or 0, sub.creationTimeSeconds), reverse=True)
else:
submissions.sort(key=lambda sub: sub.creationTimeSeconds, reverse=True)
msg = '\n'.join(
f'[{sub.problem.name}]({sub.problem.url})\N{EN SPACE}'
f'[{sub.problem.rating if sub.problem.rating else "?"}]\N{EN SPACE}'
f'({cf_common.days_ago(sub.creationTimeSeconds)})'
for sub in submissions[:10]
)
title = '{} solved problems by `{}`'.format('Hardest' if hardest else 'Recently',
'`, `'.join(handles))
embed = discord_common.cf_color_embed(title=title, description=msg)
await ctx.send(embed=embed)
async def curve(self, ctx, *args: str):
"""Plots the count of problems solved over time on Codeforces for the handles provided."""
filt = cf_common.SubFilter()
args = filt.parse(args)
handles = args or ('!' + str(ctx.author),)
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.status(handle=handle) for handle in handles]
all_solved_subs = [filt.filter_subs(submissions) for submissions in resp]
if not any(all_solved_subs):
raise GraphCogError(f'There are no problems within the specified parameters.')
plt.clf()
plt.xlabel('Time')
plt.ylabel('Cumulative solve count')
all_times = [[dt.datetime.fromtimestamp(sub.creationTimeSeconds) for sub in solved_subs]
for solved_subs in all_solved_subs]
for times in all_times:
cumulative_solve_count = list(range(1, len(times)+1)) + [len(times)]
timestretched = times + [min(dt.datetime.now(), dt.datetime.fromtimestamp(filt.dhi))]
plt.plot(timestretched, cumulative_solve_count)
labels = [gc.StrWrap(f'{handle}: {len(times)}')
for handle, times in zip(handles, all_times)]
plt.legend(labels)
plt.gcf().autofmt_xdate()
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(title='Curve of number of solved problems over time')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def hist(self, ctx, *args: str):
"""Shows the histogram of problems solved over time on Codeforces for the handles provided."""
filt = cf_common.SubFilter()
args = filt.parse(args)
handles = args or ('!' + str(ctx.author), )
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.status(handle=handle) for handle in handles]
all_solved_subs = [
filt.filter_subs(submissions) for submissions in resp
]
if not any(all_solved_subs):
raise GraphCogError(
f'There are no problems within the specified parameters.')
plt.clf()
plt.xlabel('Time')
plt.ylabel('Number solved')
if len(handles) == 1:
handle, solved_by_type = handles[0], _classify_submissions(
all_solved_subs[0])
all_times = [[
dt.datetime.fromtimestamp(sub.creationTimeSeconds)
for sub in solved_by_type[sub_type]
] for sub_type in filt.types]
nice_names = nice_sub_type(filt.types)
labels = [
name.format(len(times))
for name, times in zip(nice_names, all_times)
]
plt.hist(all_times, stacked=True, label=labels, bins=34)
total = sum(map(len, all_times))
plt.legend(title=f'{handle}: {total}',
title_fontsize=plt.rcParams['legend.fontsize'])
else:
all_times = [[
dt.datetime.fromtimestamp(sub.creationTimeSeconds)
for sub in solved_subs
] for solved_subs in all_solved_subs]
# NOTE: matplotlib ignores labels that begin with _
# https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.legend
# Add zero-width space to work around this
labels = [
gc.StrWrap(f'{handle}: {len(times)}')
for handle, times in zip(handles, all_times)
]
plt.hist(all_times)
plt.legend(labels)
plt.gcf().autofmt_xdate()
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(
title='Histogram of number of solved problems over time')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def rating(self, ctx, *args: str):
"""Plots Codeforces rating graph for the handles provided."""
(zoom, peak), args = cf_common.filter_flags(args, ['+zoom' , '+peak'])
filt = cf_common.SubFilter()
args = filt.parse(args)
handles = args or ('!' + str(ctx.author),)
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.rating(handle=handle) for handle in handles]
resp = [filt.filter_rating_changes(rating_changes) for rating_changes in resp]
if not any(resp):
handles_str = ', '.join(f'`{handle}`' for handle in handles)
if len(handles) == 1:
message = f'User {handles_str} is not rated'
else:
message = f'None of the given users {handles_str} are rated'
raise GraphCogError(message)
def max_prefix(user):
max_rate = 0
res = []
for data in user:
old_rating = data.oldRating
if old_rating == 0:
old_rating = 1500
if data.newRating - old_rating >= 0 and data.newRating >= max_rate:
max_rate = data.newRating
res.append(data)
return(res)
if peak:
resp = [max_prefix(user) for user in resp]
plt.clf()
plt.axes().set_prop_cycle(gc.rating_color_cycler)
_plot_rating(resp)
current_ratings = [rating_changes[-1].newRating if rating_changes else 'Unrated' for rating_changes in resp]
labels = [gc.StrWrap(f'{handle} ({rating})') for handle, rating in zip(handles, current_ratings)]
plt.legend(labels, loc='upper left')
if not zoom:
min_rating = 1100
max_rating = 1800
for rating_changes in resp:
for rating in rating_changes:
min_rating = min(min_rating, rating.newRating)
max_rating = max(max_rating, rating.newRating)
plt.ylim(min_rating - 100, max_rating + 200)
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(title='Rating graph on Codeforces')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def solved(self, ctx, *args: str):
"""Shows a histogram of problems solved on Codeforces for the handles provided.
e.g. ;plot solved meooow +contest +virtual +outof +dp"""
filt = cf_common.SubFilter()
args = filt.parse(args)
handles = args or ('!' + str(ctx.author),)
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.status(handle=handle) for handle in handles]
all_solved_subs = [filt.filter_subs(
submissions) for submissions in resp]
if not any(all_solved_subs):
raise GraphCogError(f'There are no problems within the specified parameters.')
plt.clf()
plt.xlabel('Problem rating')
plt.ylabel('Number solved')
if len(handles) == 1:
# Display solved problem separately by type for a single user.
handle, solved_by_type = handles[0], _classify_submissions(
all_solved_subs[0])
all_ratings = [[sub.problem.rating for sub in solved_by_type[sub_type]]
for sub_type in filt.types]
nice_names = nice_sub_type(filt.types)
labels = [name.format(len(ratings))
for name, ratings in zip(nice_names, all_ratings)]
step = 100
# shift the range to center the text
hist_bins = list(range(filt.rlo - step // 2,
filt.rhi + step // 2 + 1, step))
plt.hist(all_ratings, stacked=True, bins=hist_bins, label=labels)
total = sum(map(len, all_ratings))
plt.legend(title=f'{handle}: {total}', title_fontsize=plt.rcParams['legend.fontsize'],
loc='upper right')
else:
all_ratings = [[sub.problem.rating for sub in solved_subs]
for solved_subs in all_solved_subs]
labels = [gc.StrWrap(f'{handle}: {len(ratings)}')
for handle, ratings in zip(handles, all_ratings)]
step = 200
hist_bins = list(range(filt.rlo - step // 2,
filt.rhi + step // 2 + 1, step))
plt.hist(all_ratings, bins=hist_bins)
plt.legend(labels, loc='upper right')
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(
title='Histogram of problems solved on Codeforces')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def performance(self, ctx, *args: str):
"""Plots Codeforces performance graph for the handles provided."""
(zoom,
peak), args = cf_common.filter_flags(args,
['+zoom', '+asdfgdsafefsdve'])
filt = cf_common.SubFilter()
args = filt.parse(args)
handles = args or ('!' + str(ctx.author), )
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.rating(handle=handle) for handle in handles]
# extract last rating before corrections
current_ratings = [
rating_changes[-1].newRating if rating_changes else 'Unrated'
for rating_changes in resp
]
resp = cf.user.correct_rating_changes(resp=resp)
resp = [
filt.filter_rating_changes(rating_changes)
for rating_changes in resp
]
if not any(resp):
handles_str = ', '.join(f'`{handle}`' for handle in handles)
if len(handles) == 1:
message = f'User {handles_str} is not rated'
else:
message = f'None of the given users {handles_str} are rated'
raise GraphCogError(message)
plt.clf()
plt.axes().set_prop_cycle(gc.rating_color_cycler)
_plot_perf(resp)
labels = [
gc.StrWrap(f'{handle} ({rating})')
for handle, rating in zip(handles, current_ratings)
]
plt.legend(labels, loc='upper left')
if not zoom:
min_rating = 1100
max_rating = 1800
for rating_changes in resp:
for rating in rating_changes:
min_rating = min(min_rating, rating.oldRating)
max_rating = max(max_rating, rating.oldRating)
plt.ylim(min_rating - 100, max_rating + 200)
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(
title='Performance graph on Codeforces')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def stalk(self, ctx, *args):
"""Print problems solved by user sorted by time (default) or rating.
All submission types are included by default (practice, contest, etc.)
"""
(hardest, ), args = cf_common.filter_flags(args, ['+hardest'])
filt = cf_common.SubFilter(False)
args = filt.parse(args)
handles = args or ('!' + str(ctx.author), )
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
submissions = [
await cf.user.status(handle=handle) for handle in handles
]
submissions = [sub for subs in submissions for sub in subs]
submissions = filt.filter_subs(submissions)
if not submissions:
raise CodeforcesCogError(
'Submissions not found within the search parameters')
if hardest:
submissions.sort(
key=lambda sub:
(sub.problem.rating or 0, sub.creationTimeSeconds),
reverse=True)
else:
submissions.sort(key=lambda sub: sub.creationTimeSeconds,
reverse=True)
def make_line(sub):
data = (f'[{sub.problem.name}]({sub.problem.url})',
f'[{sub.problem.rating if sub.problem.rating else "?"}]',
f'({cf_common.days_ago(sub.creationTimeSeconds)})')
return '\N{EN SPACE}'.join(data)
def make_page(chunk):
title = '{} solved problems by `{}`'.format(
'Hardest' if hardest else 'Recently', '`, `'.join(handles))
hist_str = '\n'.join(make_line(sub) for sub in chunk)
embed = discord_common.cf_color_embed(description=hist_str)
return title, embed
pages = [
make_page(chunk)
for chunk in paginator.chunkify(submissions[:100], 10)
]
paginator.paginate(self.bot,
ctx.channel,
pages,
wait_time=5 * 60,
set_pagenum_footers=True)
async def rating(self, ctx, *args: str):
"""Plots Codeforces rating graph for the handles provided."""
(zoom, ), args = cf_common.filter_flags(args, ["+zoom"])
filt = cf_common.SubFilter()
args = filt.parse(args)
args = _mention_to_handle(args, ctx)
handles = args or ("!" + str(ctx.author), )
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.rating(handle=handle) for handle in handles]
resp = [
filt.filter_rating_changes(rating_changes)
for rating_changes in resp
]
if not any(resp):
handles_str = ", ".join(f"`{handle}`" for handle in handles)
if len(handles) == 1:
message = f"User {handles_str} is not rated"
else:
message = f"None of the given users {handles_str} are rated"
raise GraphCogError(message)
plt.clf()
_plot_rating(resp)
current_ratings = [
rating_changes[-1].newRating if rating_changes else "Unrated"
for rating_changes in resp
]
labels = [
gc.StrWrap(f"{handle} ({rating})")
for handle, rating in zip(handles, current_ratings)
]
plt.legend(labels, loc="upper left")
if not zoom:
min_rating = 1100
max_rating = 1800
for rating_changes in resp:
for rating in rating_changes:
min_rating = min(min_rating, rating.newRating)
max_rating = max(max_rating, rating.newRating)
plt.ylim(min_rating - 100, max_rating + 200)
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(
title="Rating graph on Codeforces")
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def hist(self, ctx, *args: str):
"""Shows the histogram of problems solved on Codeforces over time for the handles provided"""
filt = cf_common.SubFilter()
args = filt.parse(args)
phase_days = 1
handles = []
for arg in args:
if arg[0:11] == 'phase_days=':
phase_days = int(arg[11:])
else:
handles.append(arg)
if phase_days < 1:
raise GraphCogError('Invalid parameters')
phase_time = dt.timedelta(days=phase_days)
handles = handles or ['!' + str(ctx.author)]
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.status(handle=handle) for handle in handles]
all_solved_subs = [filt.filter_subs(submissions) for submissions in resp]
if not any(all_solved_subs):
raise GraphCogError(f'There are no problems within the specified parameters.')
plt.clf()
plt.xlabel('Time')
plt.ylabel('Number solved')
if len(handles) == 1:
handle, solved_by_type = handles[0], _classify_submissions(all_solved_subs[0])
all_times = [[dt.datetime.fromtimestamp(sub.creationTimeSeconds) for sub in solved_by_type[sub_type]]
for sub_type in filt.types]
nice_names = nice_sub_type(filt.types)
labels = [name.format(len(times)) for name, times in zip(nice_names, all_times)]
dlo = min(itertools.chain.from_iterable(all_times)).date()
dhi = min(dt.datetime.today() + dt.timedelta(days=1), dt.datetime.fromtimestamp(filt.dhi)).date()
phase_cnt = math.ceil((dhi - dlo) / phase_time)
plt.hist(
all_times,
stacked=True,
label=labels,
range=(dhi - phase_cnt * phase_time, dhi),
bins=min(40, phase_cnt))
total = sum(map(len, all_times))
plt.legend(title=f'{handle}: {total}', title_fontsize=plt.rcParams['legend.fontsize'])
else:
all_times = [[dt.datetime.fromtimestamp(sub.creationTimeSeconds) for sub in solved_subs]
for solved_subs in all_solved_subs]
# NOTE: matplotlib ignores labels that begin with _
# https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.legend
# Add zero-width space to work around this
labels = [gc.StrWrap(f'{handle}: {len(times)}')
for handle, times in zip(handles, all_times)]
dlo = min(itertools.chain.from_iterable(all_times)).date()
dhi = min(dt.datetime.today() + dt.timedelta(days=1), dt.datetime.fromtimestamp(filt.dhi)).date()
phase_cnt = math.ceil((dhi - dlo) / phase_time)
plt.hist(
all_times,
range=(dhi - phase_cnt * phase_time, dhi),
bins=min(40 // len(handles), phase_cnt))
plt.legend(labels)
# NOTE: In case of nested list, matplotlib decides type using 1st sublist,
# it assumes float when 1st sublist is empty.
# Hence explicitly assigning locator and formatter is must here.
locator = mdates.AutoDateLocator()
plt.gca().xaxis.set_major_locator(locator)
plt.gca().xaxis.set_major_formatter(mdates.AutoDateFormatter(locator))
plt.gcf().autofmt_xdate()
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(title='Histogram of number of solved problems over time')
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def scatter(self, ctx, *args):
"""Plot Codeforces rating overlaid on a scatter plot of problems solved.
Also plots a running average of ratings of problems solved in practice."""
filt = cf_common.SubFilter()
args = filt.parse(args)
handle, bin_size, point_size = None, 10, 3
for arg in args:
if arg[0:2] == "b=":
bin_size = int(arg[2:])
elif arg[0:2] == "s=":
point_size = int(arg[2:])
else:
handle = arg
if bin_size < 1 or point_size < 1 or point_size > 100:
raise GraphCogError("Invalid parameters")
handle = handle or "!" + str(ctx.author)
(handle, ) = await cf_common.resolve_handles(ctx, self.converter,
(handle, ))
rating_resp = [await cf.user.rating(handle=handle)]
rating_resp = [
filt.filter_rating_changes(rating_changes)
for rating_changes in rating_resp
]
submissions = filt.filter_subs(await cf.user.status(handle=handle))
def extract_time_and_rating(submissions):
return [(
dt.datetime.fromtimestamp(sub.creationTimeSeconds),
sub.problem.rating,
) for sub in submissions]
if not any(rating_resp) and not any(submissions):
raise GraphCogError(
f"User `{handle}` is not rated and has not solved any rated problem"
)
solved_by_type = _classify_submissions(submissions)
regular = extract_time_and_rating(solved_by_type["CONTESTANT"] +
solved_by_type["OUT_OF_COMPETITION"])
practice = extract_time_and_rating(solved_by_type["PRACTICE"])
virtual = extract_time_and_rating(solved_by_type["VIRTUAL"])
plt.clf()
_plot_scatter(regular, practice, virtual, point_size)
labels = []
if practice:
labels.append("Practice")
if regular:
labels.append("Regular")
if virtual:
labels.append("Virtual")
plt.legend(labels, loc="upper left")
_plot_average(practice, bin_size)
_plot_rating(rating_resp, mark="")
# zoom
ymin, ymax = plt.gca().get_ylim()
plt.ylim(max(ymin, filt.rlo - 100), min(ymax, filt.rhi + 100))
discord_file = gc.get_current_figure_as_file()
embed = discord_common.cf_color_embed(
title=f"Rating vs solved problem rating for {handle}")
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
async def speed(self, ctx, *args):
"""Plot time spent on problems of particular rating during contest."""
(add_scatter,
use_median), args = cf_common.filter_flags(args,
['+scatter', '+median'])
filt = cf_common.SubFilter()
args = filt.parse(args)
if 'PRACTICE' in filt.types:
filt.types.remove(
'PRACTICE') # can't estimate time for practice submissions
handles, point_size = [], 3
for arg in args:
if arg[0:2] == 's=':
point_size = int(arg[2:])
else:
handles.append(arg)
handles = handles or ['!' + str(ctx.author)]
handles = await cf_common.resolve_handles(ctx, self.converter, handles)
resp = [await cf.user.status(handle=handle) for handle in handles]
all_solved_subs = [
filt.filter_subs(submissions) for submissions in resp
]
plt.clf()
plt.xlabel('Rating')
plt.ylabel('Minutes spent')
max_time = 0 # for ylim
for submissions in all_solved_subs:
scatter_points = [] # only matters if +scatter
solved_by_contest = collections.defaultdict(lambda: [])
for submission in submissions:
# [solve_time, problem rating, problem index] for each solved problem
solved_by_contest[submission.contestId].append([
submission.relativeTimeSeconds, submission.problem.rating,
submission.problem.index
])
time_by_rating = collections.defaultdict(lambda: [])
for events in solved_by_contest.values():
events.sort()
solved_subproblems = dict()
last_ac_time = 0
for (current_ac_time, rating, problem_index) in events:
time_to_solve = current_ac_time - last_ac_time
last_ac_time = current_ac_time
# if there are subproblems, add total time for previous subproblems to current one
if len(problem_index) == 2 and problem_index[1].isdigit():
time_to_solve += solved_subproblems.get(
problem_index[0], 0)
solved_subproblems[problem_index[0]] = time_to_solve
time_by_rating[rating].append(time_to_solve /
60) # in minutes
for rating in time_by_rating.keys():
times = time_by_rating[rating]
if use_median:
time_by_rating[rating] = np.median(times)
else:
time_by_rating[rating] = sum(times) / len(times)
if add_scatter:
for t in times:
scatter_points.append([rating, t])
max_time = max(max_time, t)
xs = sorted(time_by_rating.keys())
ys = [time_by_rating[rating] for rating in xs]
max_time = max(max_time, max(ys, default=0))
plt.plot(xs, ys)
if add_scatter:
plt.scatter(*zip(*scatter_points), s=point_size)
labels = [gc.StrWrap(handle) for handle in handles]
plt.legend(labels)
plt.ylim(0, max_time + 5)
# make xticks divisible by 100
ticks = plt.gca().get_xticks()
base = ticks[1] - ticks[0]
plt.gca().get_xaxis().set_major_locator(
MultipleLocator(base=max(base // 100 * 100, 100)))
discord_file = gc.get_current_figure_as_file()
title = f'Plot of {"median" if use_median else "average"} time spent on a problem'
embed = discord_common.cf_color_embed(title=title)
discord_common.attach_image(embed, discord_file)
discord_common.set_author_footer(embed, ctx.author)
await ctx.send(embed=embed, file=discord_file)
