plots

Functions

_cross_correlation(a, b[, maxlags, normed])	Calculate cross correlation between arrays.
acf_plot(ts[, n_segments, lags, partial, ...])	Autocorrelation and partial autocorrelation plot for multiple timeseries.
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.
plot_clusters(ts, segment2cluster[, ...])	Plot clusters [with centroids].
plot_correlation_matrix(ts[, columns, ...])	Plot pairwise correlation heatmap for selected segments.
plot_holidays(ts, holidays[, segments, ...])	Plot holidays for segments.
plot_imputation(ts, imputer[, segments, ...])	Plot the result of imputation by a given imputer.
plot_periodogram(ts, period[, ...])	Plot the periodogram using scipy.signal.periodogram().