Viz#

Module Contents#

Functions#

dam_heat_map(df)

Create a heat map of day-ahead location marginal prices.

load_over_time(df[, iso])

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

gridstatus.viz.load_over_time(df, iso=None)[source]#

Create a line graph of load dataframe