eda_utils

Functions

_get_seasonal_cycle_name(timestamp, cycle)	Get unique name for each cycle in a series with timestamps.
_get_seasonal_in_cycle_name(timestamp, ...)	Get unique name for each point within the cycle in a series of timestamps.
_get_seasonal_in_cycle_num(timestamp, ...)	Get number for each point within cycle in a series of timestamps.
_prepare_seasonal_plot_df(ts, freq, cycle, ...)
_resample(df, freq, aggregation)
_seasonal_split(timestamp, freq, cycle)	Create a seasonal split into cycles of a given timestamp.
cross_corr_plot(ts[, n_segments, maxlags, ...])	Cross-correlation plot between multiple timeseries.
distribution_plot(ts[, n_segments, ...])	Distribution of z-values grouped by segments and time frequency.
prediction_actual_scatter_plot(forecast_df, ts)	Plot scatter plot with forecasted/actual values for segments.
qq_plot(residuals_ts[, qq_plot_params, ...])	Plot Q-Q plots for segments.
sample_acf_plot(ts[, n_segments, lags, ...])	Autocorrelation plot for multiple timeseries.
sample_pacf_plot(ts[, n_segments, lags, ...])	Partial autocorrelation plot for multiple timeseries.
seasonal_plot(ts[, freq, cycle, alignment, ...])	Plot each season on one canvas for each segment.
stl_plot(ts[, in_column, period, segments, ...])	Plot STL decomposition for segments.

Classes

SeasonalPlotAggregation(value)	Enum for types of aggregation in a seasonal plot.
SeasonalPlotAlignment(value)	Enum for types of alignment in a seasonal plot.
SeasonalPlotCycle(value)	Enum for types of cycles in a seasonal plot.