csvio: Python Library for processing CSV files
csvio is a Python library that provides a wrapper around Python’s built in
csv.DictReader and csv.DictWriter, for ease of reading and
writing CSV files.
Rows in a CSV are represented and processed as a list of dictionaries. Each item in this list is a dictionary that represents a row. The key, value pairs in each dictionary is a mapping between the column and its associated row value from the CSV.
Installation
pip install csvio
Documentation
Reading CSVs
>>> from csvio import CSVReader
>>> reader = CSVReader("fruit_stock.csv")
>>> reader.fieldnames
['Supplier', 'Fruit', 'Quantity']
>>> len(reader.rows)
4
>>> import json
>>> print(json.dumps(reader.rows, indent=4))
[
{
"Supplier": "Big Apple",
"Fruit": "Apple",
"Quantity": "1"
},
{
"Supplier": "Big Melons",
"Fruit": "Melons",
"Quantity": "2"
},
{
"Supplier": "Long Mangoes",
"Fruit": "Mango",
"Quantity": "3"
},
{
"Supplier": "Small Strawberries",
"Fruit": "Strawberry",
"Quantity": "4"
}
]
CSV file contents:
Supplier,Fruit,Quantity
Big Apple,Apple,1
Big Melons,Melons,2
Long Mangoes,Mango,3
Small Strawberries,Strawberry,4
Writing CSVs
>>> from csvio import CSVWriter
>>> writer = CSVWriter("fruit_stock.csv", fieldnames=["Supplier", "Fruit", "Quantity"])
>>> row1 = {"Supplier": "Big Apple", "Fruit": "Apple", "Quantity": 1}
>>> writer.add_rows(row1)
>>> rows2_3_4 = [
... {"Supplier": "Big Melons", "Fruit": "Melons", "Quantity": 2},
... {"Supplier": "Long Mangoes", "Fruit": "Mango", "Quantity": 3},
... {"Supplier": "Small Strawberries", "Fruit": "Strawberry", "Quantity": 4}
... ]
>>> writer.add_rows(rows2_3_4)
>>> len(writer.pending_rows)
4
>>> len(writer.rows)
0
>>> writer.flush()
>>> len(writer.pending_rows)
0
>>> len(writer.rows)
4
Once flush is called a CSV file with the name fruit_stock.csv will be written with the following contents.
Supplier,Fruit,Quantity
Big Apple,Apple,1
Big Melons,Melons,2
Long Mangoes,Mango,3
Small Strawberries,Strawberry,4