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visualize: fix timestamps on diagrams (#430) Closes #387

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* visualize: fix timestamps on diagrams
* set start time in all graphs to the same beginning hour

---------

Co-authored-by: Normann <github@koldrack.com>
This commit is contained in:
celle1234
2025-02-08 00:47:21 +01:00
committed by Dominique Lasserre
parent 84598c592c
commit 36d794c1c4
1 changed files with 46 additions and 20 deletions
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66
src/akkudoktoreos/utils/visualize.py
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@@ -12,6 +12,7 @@ import pendulum
from matplotlib.backends.backend_pdf import PdfPages
from akkudoktoreos.core.coreabc import ConfigMixin
from akkudoktoreos.core.ems import EnergyManagement
from akkudoktoreos.core.logging import get_logger
from akkudoktoreos.optimization.genetic import OptimizationParameters
from akkudoktoreos.utils.datetimeutil import to_datetime
@@ -162,14 +163,18 @@ class VisualizationReport(ConfigMixin):
# Format the time axis
plt.gca().xaxis.set_major_formatter(
mdates.DateFormatter("%Y-%m-%d")
mdates.DateFormatter("%Y-%m-%d", tz=self.config.general.timezone)
) # Show date and time
plt.gca().xaxis.set_major_locator(
mdates.DayLocator(interval=1, tz=None)
mdates.DayLocator(interval=1, tz=self.config.general.timezone)
) # Major ticks every day
plt.gca().xaxis.set_minor_locator(mdates.HourLocator(interval=3, tz=None))
plt.gca().xaxis.set_minor_locator(
mdates.HourLocator(interval=2, tz=self.config.general.timezone)
)
# Minor ticks every 6 hours
plt.gca().xaxis.set_minor_formatter(mdates.DateFormatter("%H"))
plt.gca().xaxis.set_minor_formatter(
mdates.DateFormatter("%H", tz=self.config.general.timezone)
)
# plt.gcf().autofmt_xdate(rotation=45, which="major")
# Auto-format the x-axis for readability
@@ -202,8 +207,10 @@ class VisualizationReport(ConfigMixin):
hours_since_start = [(t - timestamps[0]).total_seconds() / 3600 for t in timestamps]
# ax2.set_xticks(timestamps[::48]) # Set ticks every 12 hours
# ax2.set_xticklabels([f"{int(h)}" for h in hours_since_start[::48]])
ax2.set_xticks(timestamps[:: len(timestamps) // 24]) # Select 10 evenly spaced ticks
ax2.set_xticklabels([f"{int(h)}" for h in hours_since_start[:: len(timestamps) // 24]])
# ax2.set_xticks(timestamps[:: len(timestamps) // 24]) # Select 10 evenly spaced ticks
ax2.set_xticks(timestamps[:: len(timestamps) // 12]) # Select 10 evenly spaced ticks
# ax2.set_xticklabels([f"{int(h)}" for h in hours_since_start[:: len(timestamps) // 24]])
ax2.set_xticklabels([f"{int(h)}" for h in hours_since_start[:: len(timestamps) // 12]])
if x2label:
ax2.set_xlabel(x2label)
@@ -431,15 +438,15 @@ def prepare_visualize(
parameters: OptimizationParameters,
results: dict,
filename: str = "visualization_results.pdf",
start_hour: Optional[int] = 0,
start_hour: int = 0,
) -> None:
report = VisualizationReport(filename)
next_full_hour_date = pendulum.now(report.config.general.timezone).start_of("hour").add(hours=1)
next_full_hour_date = EnergyManagement.set_start_datetime()
# Group 1:
report.create_line_chart_date(
next_full_hour_date, # start_date
next_full_hour_date,
[
parameters.ems.gesamtlast,
parameters.ems.gesamtlast[start_hour:],
],
title="Load Profile",
# xlabel="Hours", # not enough space
@@ -447,9 +454,9 @@ def prepare_visualize(
labels=["Total Load (Wh)"],
)
report.create_line_chart_date(
next_full_hour_date, # start_date
next_full_hour_date,
[
parameters.ems.pv_prognose_wh,
parameters.ems.pv_prognose_wh[start_hour:],
],
title="PV Forecast",
# xlabel="Hours", # not enough space
@@ -457,8 +464,13 @@ def prepare_visualize(
)
report.create_line_chart_date(
next_full_hour_date, # start_date
[np.full(len(parameters.ems.gesamtlast), parameters.ems.einspeiseverguetung_euro_pro_wh)],
next_full_hour_date,
[
np.full(
len(parameters.ems.gesamtlast) - start_hour,
parameters.ems.einspeiseverguetung_euro_pro_wh,
)
],
title="Remuneration",
# xlabel="Hours", # not enough space
ylabel="€/Wh",
@@ -466,9 +478,9 @@ def prepare_visualize(
)
if parameters.temperature_forecast:
report.create_line_chart_date(
next_full_hour_date, # start_date
next_full_hour_date,
[
parameters.temperature_forecast,
parameters.temperature_forecast[start_hour:],
],
title="Temperature Forecast",
# xlabel="Hours", # not enough space
@@ -517,21 +529,35 @@ def prepare_visualize(
)
report.create_line_chart_date(
next_full_hour_date, # start_date
[parameters.ems.strompreis_euro_pro_wh],
title="Electricity Price",
[parameters.ems.strompreis_euro_pro_wh[start_hour:]],
# title="Electricity Price", # not enough space
# xlabel="Date", # not enough space
ylabel="Electricity Price (€/Wh)",
x2label=None, # not enough space
)
labels = list(
item
for sublist in zip(
list(str(i) for i in range(0, 23, 2)), list(str(" ") for i in range(0, 23, 2))
)
for item in sublist
)
labels = labels[start_hour:] + labels
report.create_bar_chart(
list(str(i) for i in range(len(results["ac_charge"]))),
[results["ac_charge"], results["dc_charge"], results["discharge_allowed"]],
labels,
[
results["ac_charge"][start_hour:],
results["dc_charge"][start_hour:],
results["discharge_allowed"][start_hour:],
],
title="AC/DC Charging and Discharge Overview",
ylabel="Relative Power (0-1) / Discharge (0 or 1)",
label_names=["AC Charging (relative)", "DC Charging (relative)", "Discharge Allowed"],
colors=["blue", "green", "red"],
bottom=3,
xlabels=labels,
)
report.finalize_group()