Viz#
Module Contents#
Functions#
Create a heat map of day-ahead location marginal prices. |
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Create a line graph of load dataframe |
Contents#
- gridstatus.viz.dam_heat_map(df)[source]#
Create a heat map of day-ahead location marginal prices.
- Parameters:
df (pandas.DataFrame) – A DataFrame with columns “Time”, “Location”, and “LMP”. If Hour is specified, it will be used as the x-axis. Otherwise, the hour ending will be used instead of Time
- Returns:
A heat map of day-ahead location marginal prices.
- Return type:
plotly.graph_objects.Figure