Skip to content

[Proposal] Preserving the type returned by the aggregator for mean, avg, and median instead of coercing to an int. #2868

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Nov 20, 2025
Merged

[Proposal] Preserving the type returned by the aggregator for mean, avg, and median instead of coercing to an int. #2868

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions visidata/aggregators.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -141,7 +141,7 @@ def aggregator_list(vd, name, helpstr='', type=anytype, listtype=anytype):
def mean(vals):
vals = list(vals)
if vals:
return float(sum(vals))/len(vals)
return sum(vals)/len(vals)

def vsum(vals):
return sum(vals, start=type(vals[0] if len(vals) else 0)()) #1996
Expand Down Expand Up @@ -233,9 +233,9 @@ def identity(val):

vd.aggregator('min', min, 'minimum value')
vd.aggregator('max', max, 'maximum value')
vd.aggregator('avg', mean, 'arithmetic mean of values', type=float)
vd.aggregator('mean', mean, 'arithmetic mean of values', type=float)
vd.aggregator('median', statistics.median, 'median of values')
vd.aggregator('avg', mean, 'arithmetic mean of values', type=lambda x: x)
vd.aggregator('mean', mean, 'arithmetic mean of values', type=lambda x: x)
vd.aggregator('median', statistics.median, 'median of values', type=lambda x: x)
vd.aggregator('mode', statistics.mode, 'mode of values')
vd.aggregator('sum', vsum, 'sum of values')
vd.aggregator('distinct', set, 'distinct values', type=vlen)
Expand Down