Plot forecast and insample values.

Usage

timegpt_plot(
  df,
  fcst = NULL,
  h = NULL,
  id_col = NULL,
  time_col = "ds",
  target_col = "y",
  unique_ids = NULL,
  max_insample_length = NULL,
  plot_anomalies = FALSE
)

Arguments

df: A tsibble or a data frame with time series data (insample values).
fcst: A tsibble or a data frame with the TimeGPT point forecast and the prediction intervals (if available).
h: Forecast horizon.
id_col: Column that identifies each series.
time_col: Column that identifies each timestep.
target_col: Column that contains the target variable.
unique_ids: Time series to plot. If NULL (default), selection will be random.
max_insample_length: Max number of insample observations to be plotted.
plot_anomalies: Whether or not to plot anomalies.

Value

Plot with the forecast and insample values

Examples

if (FALSE) {
  nixtlar::nixtla_set_token("YOUR_TOKEN")
  df <- nixtlar::electricity
  fcst <- nixtlar::timegpt_forecast(df, h=8, id_col="unique_id", level=c(80,95))
  nixtlar::timegpt_plot(df, fcst, h=8, id_col="unique_id")
}