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change to hour #274

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16 changes: 8 additions & 8 deletions src/plots/forecast_horizon.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ def make_mae_by_forecast_horizon(
go.Scatter(
x=df["datetime_utc"],
y=df["MAE"],
name=f"{forecast_horizon}-minute horizon",
name=f"{forecast_horizon / 60:.1f}-hour horizon",
mode="lines",
line=dict(color=line_color[i%len(line_color)]),
)
Expand All @@ -64,7 +64,7 @@ def make_mae_forecast_horizon_group_by_forecast_horizon(
text="Quartz Solar MAE by Forecast Horizon for Date Range(selected in sidebar)"
),
xaxis=go.layout.XAxis(title=go.layout.xaxis.Title(text="MAE (MW)")),
yaxis=go.layout.YAxis(title=go.layout.yaxis.Title(text="Forecast Horizon (minutes)")),
yaxis=go.layout.YAxis(title=go.layout.yaxis.Title(text="Forecast Horizon (hours)")),
)
)
for i, forecast_horizon in enumerate(forecast_horizon_selection):
Expand All @@ -76,7 +76,7 @@ def make_mae_forecast_horizon_group_by_forecast_horizon(
{
"MAE": y_mae_horizon,
"datetime_utc": x_mae_horizon,
"forecast_horizon": forecast_horizon,
"forecast_horizon": forecast_horizon / 60,
}
)

Expand All @@ -85,15 +85,15 @@ def make_mae_forecast_horizon_group_by_forecast_horizon(
go.Scatter(
x=df_mae_horizon["MAE"],
y=df_mae_horizon["forecast_horizon"],
name=f"{forecast_horizon}-minute horizon",
name=f"{forecast_horizon / 60:.1f}-hour horizon",
mode="markers",
line=dict(color=line_color[i%len(line_color)]),
),
]
)
fig.update_layout(
xaxis=dict(tickmode="linear", tick0=0, dtick=50),
yaxis=dict(tickmode="linear", tick0=0, dtick=60),
yaxis=dict(tickmode="linear", tick0=0, dtick=1),
)
fig.update_layout(xaxis_range=[0, MAE_LIMIT_DEFAULT])
return fig
Expand All @@ -109,7 +109,7 @@ def make_mae_vs_forecast_horizon_group_by_date(
fig = go.Figure(
layout=go.Layout(
title=go.layout.Title(text="Quartz Solar MAE Forecast Horizon Values by Date"),
xaxis=go.layout.XAxis(title=go.layout.xaxis.Title(text="Forecast Horizon (minutes)")),
xaxis=go.layout.XAxis(title=go.layout.xaxis.Title(text="Forecast Horizon (hours)")),
yaxis=go.layout.YAxis(title=go.layout.yaxis.Title(text="MAE (MW)")),
legend=go.layout.Legend(title=go.layout.legend.Title(text="Date")),
)
Expand All @@ -124,7 +124,7 @@ def make_mae_vs_forecast_horizon_group_by_date(
metric_values = metric_values_by_forecast_horizon[forecast_horizon]
dates = [value.datetime_interval.start_datetime_utc for value in metric_values]
mae_value = [round(float(value.value), 2) for value in metric_values]
forecast_horizons = [value.forecast_horizon_minutes for value in metric_values]
forecast_horizons = [value.forecast_horizon_minutes / 60 for value in metric_values]

# create dataframe for each date with a value for each forecast horizon
data = pd.DataFrame(
Expand Down Expand Up @@ -160,7 +160,7 @@ def make_mae_vs_forecast_horizon_group_by_date(
)
fig.add_traces(traces)
fig.update_layout(
xaxis=dict(tickmode="linear", tick0=0, dtick=60),
xaxis=dict(tickmode="linear", tick0=0, dtick=1),
yaxis=dict(tickmode="linear", tick0=0, dtick=50),
)
fig.update_layout(yaxis_range=[0, MAE_LIMIT_DEFAULT])
Expand Down
1 change: 1 addition & 0 deletions src/tables/summary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@ def make_forecast_horizon_table(all_forecast_horizons_df, y_plive_mae):
df_mae_horizon_mean.rename(columns={"MAE": "mean"}, inplace=True)
df_mae_horizon_std = all_forecast_horizons_df.groupby(["forecast_horizon"]).std().reset_index()
df_mae_horizon_mean["std"] = df_mae_horizon_std["MAE"]
df_mae_horizon_mean["forecast_horizon"] = df_mae_horizon_mean["forecast_horizon"].apply(lambda x: round(x / 60, 1))
pv_live_mae = np.round(np.mean(y_plive_mae), 2)
st.write(f"PV LIVE Mae {pv_live_mae} MW (intraday - day after)")
st.write(df_mae_horizon_mean)