sheet2dict 0.0.9

Simple XLSX and CSV to dictionary converter

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'}
]