Skip to main content

Python tool for importing and validating data from xlsx/xls/csv files.

Project description

import me

Build Status Maintainability Test Coverage PyPI version PyPI - Python Version

Python tool for importing and validating data from xlsx/xls/csv files.

Example

from import_me import BaseXLSXParser, Column
from import_me.processors import StringProcessor, IntegerProcessor

>>> class XLSXParser(BaseXLSXParser):
...     columns = [
...         Column('first_name', index=0, header='First Name' processor=StringProcessor()),
...         Column('last_name', index=1, header='Last Name', processor=StringProcessor()),
...         Column('age', index=2, header='Age', processor=IntegerProcessor()),
...     ]

>>> parser = XLSXParser(file_path=xlsx_filepath)
>>> parser()
>>> print(parser.has_errors)  # False
>>> pprint(parser.cleaned_data)
[
    {
        'first_name': 'Ivan',
        'last_name': 'Ivanov',
        'age': 25,
        'row_index': 1,
    },
    {
        'first_name': 'Petr',
        'last_name': 'Petrov',
        'age': 33,
        'row_index': 2,
    },
]

Installation

pip install import_me

Contributing

We would love you to contribute to our project. It's simple:

  • Create an issue with bug you found or proposal you have. Wait for approve from maintainer.
  • Create a pull request. Make sure all checks are green.
  • Fix review comments if any.
  • Be awesome.

Here are useful tips:

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

import_me-0.2.2.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

import_me-0.2.2-py3-none-any.whl (12.3 kB view details)

Uploaded Python 3

File details

Details for the file import_me-0.2.2.tar.gz.

File metadata

  • Download URL: import_me-0.2.2.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for import_me-0.2.2.tar.gz
Algorithm Hash digest
SHA256 bc8c8f5ed1b022c3ea65f9d0cd1bf693fe1e2f3ed7ea4729685691883dd3ce0a
MD5 5739d5e23cf781961733dd16c094c468
BLAKE2b-256 4471f54fed3b54db931fd30aa18b54a1fd7b0b4307a37875fb4c0c12af434320

See more details on using hashes here.

File details

Details for the file import_me-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: import_me-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 12.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for import_me-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 90a3a393ab221b1f4cadf9781e511a16a0914ddbbb1c73100b9271e8299020c2
MD5 f4d04b5a551cedea352ac3079c31cefa
BLAKE2b-256 d5326eda3d6ec0ffde398d472a03fd63f8820dab3e4812217aea0cbf3f6de41a

See more details on using hashes here.

Supported by

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