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.. _table-data:
Populating a table with data
============================
Tables are compatible with a range of input data structures. If you've seen the
tutorial you'll have seen a queryset being used, however any iterable that
supports :func:`len` and contains items that expose key-based accessed to
column values is fine.
An an example we'll demonstrate using list of dicts. When defining a table it's
necessary to declare each column. If your data matches the fields in a model,
columns can be declared automatically for you via the `Table.Meta.model`
option, but for non-queryset data you'll probably want to declare
them manually::
import django_tables2 as tables
data = [
{'name': 'Bradley'},
{'name': 'Stevie'},
]
class NameTable(tables.Table):
name = tables.Column()
table = NameTable(data)
You can use this technique to override columns that were automatically created
via `Table.Meta.model` too::
# models.py
from django.db import models
class Person(models.Model):
name = models.CharField(max_length=200)
# tables.py
import django_tables2 as tables
from .models import Person
class PersonTable(tables.Table):
name = tables.Column(verbose_name='full name')
class Meta:
model = Person
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