Skip to main content

Biblioteka do analizy danych.

Project description

Datalyzer

Datalyzer to biblioteka do analizy danych w Pythonie. Umożliwia łatwe uzyskanie statystyk opisowych i wykrywanie brakujących wartości.

Instalacja

Aby zainstalować bibliotekę, użyj:

pip install datalyzer

UĹĽycie
Oto przykład użycia:

import pandas as pd
from datalyzer.analyzer import DataAnalyzer

data = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
analyzer = DataAnalyzer(data)

# Uzyskaj statystyki opisowe
summary = analyzer.summary()
print(summary)

# Sprawdź brakujące wartości
missing = analyzer.missing_values()
print(missing)

Plik setup.py
Upewnij się, że plik setup.py jest poprawny i zawiera poniższy kod. Możesz zmienić author, author_email i url zgodnie z własnymi danymi:

from setuptools import setup, find_packages

setup(
    name='datalyzer',
    version='0.1',
    packages=find_packages(),
    install_requires=[
        'pandas',  # Wymagana biblioteka
    ],
    author='Twoje ImiÄ™',
    author_email='twoj.email@example.com',
    description='Biblioteka do analizy danych.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    url='https://github.com/TwojeImie/datalyzer',  # Link do repozytorium
    classifiers=[
        'Programming Language :: Python :: 3',
        'License :: OSI Approved :: MIT License',
    ],
)


Datalyzer (English Version)

Datalyzer is a library for data analysis in Python.
 It allows you to easily obtain descriptive statistics and detect missing values.

Installation
To install the library, use:

pip install datalyzer

Usage
Here is an example of usage:
import pandas as pd
from datalyzer.analyzer import DataAnalyzer

data = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
analyzer = DataAnalyzer(data)

# Get descriptive statistics
summary = analyzer.summary()
print(summary)

# Check for missing values
missing = analyzer.missing_values()
print(missing)

setup.py File
Make sure the setup.py file is correct and contains the following code.
 You can change author, author_email, and url according to your own data:

from setuptools import setup, find_packages

setup(
    name='datalyzer',
    version='0.1',
    packages=find_packages(),
    install_requires=[
        'pandas',  # Required library
    ],
    author='Your Name',
    author_email='your.email@example.com',
    description='Library for data analysis.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    url='https://github.com/YourName/datalyzer',  # Link to repository
    classifiers=[
        'Programming Language :: Python :: 3',
        'License :: OSI Approved :: MIT License',
    ],
)

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

datalyzer-0.1.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datalyzer-0.1-py3-none-any.whl (2.8 kB view details)

Uploaded Python 3

File details

Details for the file datalyzer-0.1.tar.gz.

File metadata

  • Download URL: datalyzer-0.1.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for datalyzer-0.1.tar.gz
Algorithm Hash digest
SHA256 966aa4cb9545838e55e23652646aeabcaf02275540c1bd7d722c00338e4d9f71
MD5 0db68f4708aa9fe6129090383085fb2a
BLAKE2b-256 e432e951eb90f5517b17d3cd5b9542b7ea9ff6341674daeee6e6cce22f4dfd41

See more details on using hashes here.

File details

Details for the file datalyzer-0.1-py3-none-any.whl.

File metadata

  • Download URL: datalyzer-0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for datalyzer-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fd0df51c9db109d5d17938514042953fa86285bf24837ad835922a8eccce60ff
MD5 8ab045f44afc2993b7b0aafa43cdad3b
BLAKE2b-256 c47425b694f7fd7cbc52e4cac7e541cae155b1bc713cf8f96126c3dba91f8426

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