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A simple way of working with csv files.

Project description


A simple way of working with csv files.

You can use:

data = csvfile.load("my-data.csv")
data[0]["field"] = "new value"

Instead of:

data = []
with open("my-data.csv") as f:
    reader = csv.DictReader(f)
    fieldnames = reader.fieldnames
    for row in reader:

data[0]["field"] = "new value"

with open("my-data.csv, "w") as f:
    writer = csv.DictWriter(f, fieldnames=fieldnames)


You also can provide a model based on pydantic.BaseModel. This will give you types checking and conversion:

>>> import csvfile, pydantic, decimal, datetime
>>> class Transaction(pydantic.BaseModel):
...     amount: decimal.Decimal
...     at: datetime.datetime
>>> table = csvfile.CSVFile("./transactions.csv", model=Transaction)
>>> table.append(Transaction(amount="10.5",
>>> open("./transactions.csv").read()
'amount,at\n10.5,2020-03-11 14:13:31.087455\n'
>>> csvfile.load("./transactions.csv", model=Transaction)
[Transaction(amount=Decimal('10.5'), at=datetime.datetime(2020, 3, 11, 14, 13, 31, 87455))]

Running tests

pip install -r requirements-dev.txt

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