Eine Bibliothek zum einfachen Erstellen von SQLite-Datenbanken in Python. Für Situationen wie:
Documentation
note
Klicken Sie hier für die neuesten Spezifikationen: Die folgende Beschreibung ist etwas altFeature
Installation
pip install SimpleSQLite
Usage
Sample
from simplesqlite import SimpleSQLite
con = SimpleSQLite("sample.sqlite")
data_matrix = [
[1, 1.1, "aaa", 1, 1],
[2, 2.2, "bbb", 2.2, 2.2],
[3, 3.3, "ccc", 3, "ccc"],
]
con.create_table_with_data(
table_name="sample_table",
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=data_matrix)
# display values -----
print(con.get_attribute_name_list("sample_table"))
result = con.select(select="*", table_name="sample_table")
for record in result.fetchall():
print(record)
# display data type for each column -----
print(con.get_attribute_type_list(table_name="sample_table"))
Output
['attr_a', 'attr_b', 'attr_c', 'attr_d', 'attr_e']
(1, 1.1, u'aaa', 1.0, u'1')
(2, 2.2, u'bbb', 2.2, u'2.2')
(3, 3.3, u'ccc', 3.0, u'ccc')
(u'integer', u'real', u'text', u'real', u'text')
sample_data.csv
"attr_a","attr_b","attr_c"
1,4,"a"
2,2.1,"bb"
3,120.9,"ccc"
Sample-code
from simplesqlite import SimpleSQLite
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_from_csv(csv_path="sample_data.csv")
print(con.get_attribute_name_list("sample_data"))
result = con.select(select="*", table_name="sample_data")
for record in result.fetchall():
print(record)
Output
['attr_a', 'attr_b', 'attr_c']
(1, 4.0, u'a')
(2, 2.1, u'bb')
(3, 120.9, u'ccc')
Sample-code
from simplesqlite import SimpleSQLite
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_with_data(
table_name="sample_table",
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=[[1, 1.1, "aaa", 1, 1]])
con.insert(
table_name="sample_table",
insert_record={
"attr_a": 4,
"attr_b": 4.4,
"attr_c": "ddd",
"attr_d": 4.44,
"attr_e": "hoge",
}
)
con.insert_many(
table_name="sample_table",
insert_record_list=[
{
"attr_a": 5,
"attr_b": 5.5,
"attr_c": "eee",
"attr_d": 5.55,
"attr_e": "foo",
},
{
"attr_a": 6,
"attr_c": "fff",
},
]
)
result = con.select(select="*", table_name="sample_table")
for record in result.fetchall():
print(record)
Output
(1, 1.1, u'aaa', 1, 1)
(4, 4.4, u'ddd', 4.44, u'hoge')
(5, 5.5, u'eee', 5.55, u'foo')
(6, u'NULL', u'fff', u'NULL', u'NULL')
Sample-code
from collections import namedtuple
from simplesqlite import SimpleSQLite
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_with_data(
table_name="sample_table",
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=[[1, 1.1, "aaa", 1, 1]])
SampleTuple = namedtuple(
"SampleTuple", "attr_a attr_b attr_c attr_d attr_e")
con.insert(
table_name="sample_table",
insert_record=[7, 7.7, "fff", 7.77, "bar"])
con.insert_many(
table_name="sample_table",
insert_record_list=[
(8, 8.8, "ggg", 8.88, "foobar"),
SampleTuple(9, 9.9, "ggg", 9.99, "hogehoge"),
]
)
result = con.select(select="*", table_name="sample_table")
for record in result.fetchall():
print(record)
Output
(1, 1.1, u'aaa', 1, 1)
(7, 7.7, u'fff', 7.77, u'bar')
(8, 8.8, u'ggg', 8.88, u'foobar')
(9, 9.9, u'ggg', 9.99, u'hogehoge')
Bei Verwendung der In-Memory-Datenbank:
import simplesqlite
con = simplesqlite.connect_sqlite_db_mem()