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"
1 maintainer
Metadata
1 maintainer
Release files for p2s 0.1.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| p2s-0.1.14.tar.gz | 5.5 kB | Without provenance | Details |
Release files / p2s-0.1.14.tar.gz
| Download URL | p2s-0.1.14.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a42744d6b6d8e8378aee5e2fb3de1e2b81915b841ddffa2920d5c1a72e9f9210
|
|
BLAKE2b-256 checksum How to use checksums |
738f79f64227e050061b8bd8e639943abd2b0d21ac953a20d57168a1eff6089e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for p2s 0.1.14
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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