Skip to main content

A distribution package

Project description

Readme for Mango_dist

Installation

Run pip install -i https://test.pypi.org/simple/ mangodistributions in the command line

Importing functionality

Import into a python script with import mangodistributions as mg

Example functionality

Create a random sample of 10 values from Normal distribution with a mean of 5 and a standard deviation of 1:

import mangodistributions as mg

normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
 

Print summary metrics on your sample

import mangodistributions as mg

normal_dist = mg.Normal(n = 10, mean = 5, sd=1)
sample = normal_dist.draw()
normal_dist.summarise()

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

mangodistributions-0.0.2.tar.gz (1.7 kB view details)

Uploaded Source

File details

Details for the file mangodistributions-0.0.2.tar.gz.

File metadata

  • Download URL: mangodistributions-0.0.2.tar.gz
  • Upload date:
  • Size: 1.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for mangodistributions-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6e64642347e5c0d8aca5c0f805b2682598d2352e6ff00336efaa1c1366db4373
MD5 b42567c88f3a3af29dc6602a6893d8c2
BLAKE2b-256 a03c3539f385cff13df4879bc4981b7a61c94652b57a1e2fe6cb6fb8a7d1cee3

See more details on using hashes here.

Supported by

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