No project description provided
Project description
Online Normalization (onorm)
import numpy as np
import pandas as pd
from plotnine import aes, geom_point, ggplot, theme_minimal
n = 100
d = 2
X = np.random.normal(size=(n, d))
df = pd.DataFrame(X, columns=["X1", "X2"])
ggplot(df, aes("X1", "X2")) + geom_point() + theme_minimal()
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
onorm-0.1.0.tar.gz
(5.8 kB
view details)
Built Distribution
onorm-0.1.0-py3-none-any.whl
(6.4 kB
view details)
File details
Details for the file onorm-0.1.0.tar.gz.
File metadata
- Download URL: onorm-0.1.0.tar.gz
- Upload date:
- Size: 5.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 58bcfa0c2e3e2b55c99a37fd243bd28c0e8c31bd064a77100decdcb0f5c7284d |
|
| MD5 | 75413d8cd24a829984d0d96885bae424 |
|
| BLAKE2b-256 | f55e7e5b00d166e912bfebf540f8bb69874cac03a9549fef7555658c0d74e086 |
File details
Details for the file onorm-0.1.0-py3-none-any.whl.
File metadata
- Download URL: onorm-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Darwin/23.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a1aa3b693c4f55110ebe7c4c400e6e73b0bcd62d188463a95ea4cf6fffe57f90 |
|
| MD5 | 33ca0bdb10894090c0f6c0db1505df8d |
|
| BLAKE2b-256 | 77dc869046c277bd345413f3412b0f2612a62a6ac0001300ecc2f87297140340 |
