async def plot_multiple_charts(*args: t.Any, **kwargs: t.Any) -> Figure:
# These parameters are pulled from kwargs to avoid confusing function
# introspection code in IPython widgets
location_names = kwargs.pop("location_names", None)
configs = kwargs.pop("configs", None)
dimensions = kwargs.pop("dimensions", None)
with with_database("postgresql+psycopg2://apd@localhost/apd") as session:
loop = asyncio.get_running_loop()
coros = []
if configs is None:
# If no configs are supplied, use all known configs
configs = get_known_configs().values()
if dimensions is None:
# If no dimensions are supplied, get the square root of the number
# of configs and round it to find a number of columns. This will
# keep the arrangement approximately square. Find rows by multiplying
# out rows.
total_configs = len(configs)
columns = round(math.sqrt(total_configs))
rows = math.ceil(total_configs / columns)
if location_names is None:
location_query = session.query(deployment_table.c.id,
deployment_table.c.name)
location_data = await loop.run_in_executor(None,
location_query.all)
location_names = dict(location_data)
figure = plt.figure(figsize=(10 * columns, 5 * rows), dpi=300)
for i, config in enumerate(configs, start=1):
plot = figure.add_subplot(columns, rows, i)
coros.append(
plot_sensor(config, plot, location_names, *args, **kwargs))
await asyncio.gather(*coros)
return figure
async def plot(*args, **kwargs):
location_names = {
UUID('53998a51-60de-48ae-b71a-5c37cd1455f2'): "Loft",
UUID('1bc63cda-e223-48bc-93c2-c1f651779d69'): "Living Room",
UUID('ea0683de-6772-4678-bfe7-6014f54ffc8e'): "Office",
UUID('5aaa901a-7564-41fb-8eba-50cdd6fe9f80'): "Outside",
}
with with_database("postgresql+psycopg2://apd@localhost/apd") as session:
coros = []
figure = plt.figure(figsize = (20, 10), dpi=300)
configs = get_known_configs().values()
for i, config in enumerate(configs, start=1):
plot = figure.add_subplot(2, 2, i)
coros.append(plot_sensor(config, plot, location_names, *args, **kwargs))
await asyncio.gather(*coros)
return figure
from apd.aggregation.query import with_database, get_data
from matplotlib import pyplot as plt
async def plot():
points = [
(dp.collected_at, dp.data)
async for dp in get_data()
if dp.sensor_name=="RelativeHumidity"
]
x, y = zip(*points)
plt.plot_date(x, y, "o", xdate=True)
with with_database("postgresql+psycopg2://apd@localhost/apd") as session:
await plot()
plt.show()
