Skip to main content

Simple CLI Stats

Project description

pip install p2s

General Stats

seq 0 100 | p2s

Count

seq 0 100 | p2s.count

Mean

seq 0 100 | p2s.mean

Standard Deviation

seq 0 100 | p2s.std

Quantile (in Percent)

seq 0 100 | p2s.q 25

Map (lambda expression)

Each line is in x

seq 0 100 | p2s.map "int(x) + 1"

Reduce

Accumulator a and current c. Usage p2s.reduce <lambda> <initial_accumulator> seq 0 100 | p2s.reduce "float(a) + float(c)" "0"

Histogram

seq 0 100 | p2s.hist --xlabel "Position" --output "hist.pdf"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

p2s-0.1.13.tar.gz (5.3 kB view details)

Uploaded Source

File details

Details for the file p2s-0.1.13.tar.gz.

File metadata

  • Download URL: p2s-0.1.13.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for p2s-0.1.13.tar.gz
Algorithm Hash digest
SHA256 d3c7620f859e46635d99659ed6e01d20ac37b87d95cc2555b41396e8c954251d
MD5 bf56de3e31dfc0739fccc8c37fd98a9a
BLAKE2b-256 972aeca781562f245d7f9f42631dbdc502a2529e783adb43891ba7374c46c889

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page