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Simple XLSX and CSV to dictionary converter

Project description

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sheet2dict

A simple XLSX/CSV reader - to dictionary converter

Installing

To install the package from pip, first run:

python3 -m pip install --no-cache-dir sheet2dict

Required pip packages for sheet2doc: csv, openpyxl

Usage

This library has 2 main features: reading a spreadsheet files and converting them to array of python dictionaries.

- XLSX

Use xlsx_to_dict() method when converting form spreadsheets.
Supported file formats for spreadsheets are: .xlsx,.xlsm,.xltx,.xltm

# Import the library
from sheet2dict import Worksheet

# Create an object
ws = Worksheet()

# Convert 
ws.xlsx_to_dict(path='inventory.xlsx')

# object.header returns first row with the data in a spreadsheet 
print(ws.header)

# object.sheet_items returns converted rows as dictionaries in the array 
print(ws.sheet_items)

You can parse data when worksheet is an object

# Import the library
from sheet2dict import Worksheet

# Example: read spreadsheet as object
path = 'inventory.xlsx'
xlsx_file = open(path, 'rb')
xlsx_file = BytesIO(xlsx_file.read())

# Parse spreadsheet from object
ws = Worksheet()
ws.xlsx_to_dict(path=xlsx_file)
print(ws.header)

- CSV

Use csv_to_dict() method when converting form csv.
CSV is a format with many variations, better handle encodings and delimiters on user side and not within module itself.

# Import the library
from sheet2dict import Worksheet

# Create an object
ws = Worksheet()

# Read CSV file
csv_file = open('inventory.csv', 'r', encoding='utf-8-sig')

# Convert 
ws.csv_to_dict(csv_file=csv_file, delimiter=';')

# object.header returns first row with the data in a spreadsheet 
print(ws.header)

# object.sheet_items returns converted rows as dictionaries in the array 
print(ws.sheet_items)

- Other functions

Worksheet object.header returns first row with the data in a spreadsheet

Python 3.9.1
[Clang 12.0.0 (clang-1200.0.32.28)] on darwin
>>> from sheet2dict import Worksheet
>>> ws = Worksheet()
>>> ws.xlsx_to_dict(path="inventory.xlsx")

>>> ws.header
{'country': 'SK', 'city': 'Bratislava', 'citizens': '400000', 'random_field': 'cc'}

Worksheet object.sanitize_sheet_items removes None or empty dictionary keys from sheet_items

>>> from sheet2dict import Worksheet
>>> ws = Worksheet()
>>> ws.xlsx_to_dict(path="inventory.xlsx")

>>> ws.sheet_items
[
  {'country': 'CZ', 'city': 'Prague', 'citizens': '600000', None: '22', 'random_field': 'cc'},
  {'country': 'UK', 'city': 'London', 'citizens': '2000000', None: '33', 'random_field': 'cc'}
]

>>> ws.sanitize_sheet_items
[
  {'country': 'CZ', 'city': 'Prague', 'citizens': '600000', 'random_field': 'cc'},
  {'country': 'UK', 'city': 'London', 'citizens': '2000000', 'random_field': 'cc'}
]

Contributing and Code of Conduct

Contributing to sheet2dict

As an open source project, sheet2dict welcomes contributions of many forms.
Please read and follow our Contributing to sheet2dict

Code of Conduct

As a contributor, you can help us keep the sheet2dict project open and inclusive.
Please read and follow our Code of Conduct

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