Python sqlalchemy.func.extract() Examples
The following are 13
code examples of sqlalchemy.func.extract().
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Example #1
Source File: test_functions.py From sqlalchemy with MIT License | 7 votes |
def test_extract_bind(self, connection): """Basic common denominator execution tests for extract()""" date = datetime.date(2010, 5, 1) def execute(field): return connection.execute(select([extract(field, date)])).scalar() assert execute("year") == 2010 assert execute("month") == 5 assert execute("day") == 1 date = datetime.datetime(2010, 5, 1, 12, 11, 10) assert execute("year") == 2010 assert execute("month") == 5 assert execute("day") == 1
Example #2
Source File: test_functions.py From sqlalchemy with MIT License | 6 votes |
def test_extract_expression(self, connection): meta = self.metadata table = Table("test", meta, Column("dt", DateTime), Column("d", Date)) meta.create_all(connection) connection.execute( table.insert(), { "dt": datetime.datetime(2010, 5, 1, 12, 11, 10), "d": datetime.date(2010, 5, 1), }, ) rs = connection.execute( select([extract("year", table.c.dt), extract("month", table.c.d)]) ) row = rs.first() assert row[0] == 2010 assert row[1] == 5 rs.close()
Example #3
Source File: elements.py From jbox with MIT License | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #4
Source File: elements.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #5
Source File: elements.py From planespotter with MIT License | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #6
Source File: elements.py From pyRevit with GNU General Public License v3.0 | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #7
Source File: elements.py From stdm with GNU General Public License v2.0 | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #8
Source File: elements.py From sqlalchemy with MIT License | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = coercions.expect(roles.ExpressionElementRole, expr)
Example #9
Source File: test_functions.py From sqlalchemy with MIT License | 5 votes |
def test_non_functions(self): expr = func.cast("foo", Integer) self.assert_compile(expr, "CAST(:param_1 AS INTEGER)") expr = func.extract("year", datetime.date(2010, 12, 5)) self.assert_compile(expr, "EXTRACT(year FROM :param_1)")
Example #10
Source File: elements.py From jarvis with GNU General Public License v2.0 | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #11
Source File: elements.py From moviegrabber with GNU General Public License v3.0 | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #12
Source File: elements.py From android_universal with MIT License | 5 votes |
def __init__(self, field, expr, **kwargs): """Return a :class:`.Extract` construct. This is typically available as :func:`.extract` as well as ``func.extract`` from the :data:`.func` namespace. """ self.type = type_api.INTEGERTYPE self.field = field self.expr = _literal_as_binds(expr, None)
Example #13
Source File: plot.py From sticker-finder with MIT License | 4 votes |
def get_user_activity(session): """Create a plot showing the user statistics.""" # Create a subquery to ensure that the user fired a inline query # Group the new users by date creation_date = cast(User.created_at, Date).label("creation_date") all_users_subquery = ( session.query(creation_date, func.count(User.id).label("count")) .filter(User.inline_queries.any()) .group_by(creation_date) .subquery() ) # Create a running window which sums all users up to this point for the current millennium ;P all_users = ( session.query( all_users_subquery.c.creation_date, cast( func.sum(all_users_subquery.c.count).over( partition_by=func.extract( "millennium", all_users_subquery.c.creation_date ), order_by=all_users_subquery.c.creation_date.asc(), ), Integer, ).label("running_total"), ) .order_by(all_users_subquery.c.creation_date) .all() ) all_users = [("all", q[0], q[1]) for q in all_users] # Combine the results in a single dataframe and name the columns user_statistics = all_users dataframe = pandas.DataFrame(user_statistics, columns=["type", "date", "users"]) # Plot each result set fig, ax = plt.subplots(figsize=(30, 15), dpi=120) for key, group in dataframe.groupby(["type"]): ax = group.plot(ax=ax, kind="line", x="date", y="users", label=key) image = image_from_figure(fig) image.name = "user_statistics.png" return image