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-0.1.12.tar.gz (3.5 kB view details)

Uploaded Source

File details

Details for the file p2s-0.1.12.tar.gz.

File metadata

  • Download URL: p2s-0.1.12.tar.gz
  • Upload date:
  • Size: 3.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for p2s-0.1.12.tar.gz
Algorithm Hash digest
SHA256 02cbe70ae071a8c4096a7446f8dd5bd40a98573a3594bbe28253300627bb3592
MD5 7d825693406020aee32affaecbd7b3b0
BLAKE2b-256 c71d4834ba7a81efcc3b511113dcaa2ecb11cbff341878d5fcae4b70c7d0b6d1

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