metobs_toolkit.analysis.Analysis

class Analysis(obsdf, metadf, settings, obstypes)

The Analysis class contains methods for analysing observations.

__init__(obsdf, metadf, settings, obstypes)

Construct all the necessary attributes for Dataset object.

Methods

__init__(obsdf, metadf, settings, obstypes)	Construct all the necessary attributes for Dataset object.
aggregate_df([df, agg, method])	Aggregate observations to a (list of) categories.
apply_filter(expression)	Filter an Analysis by a user definde string expression.
get_aggregated_cycle_statistics([obstype, ...])	Create an average cycle for an aggregated categorie.
get_anual_statistics([groupby, obstype, ...])	Create an anual cycle for aggregated groups.
get_diurnal_statistics([colorby, obstype, ...])	Create an average diurnal cycle for the observations.
get_diurnal_statistics_with_reference(refstation)	Create an average diurnal cycle for the observation differences of a reference station.
get_lc_correlation_matrices([obstype, ...])	Compute pearson correlation coeficients.
plot_correlation_heatmap([groupby_value, ...])	Make a heatmap plot af a correaltion matrix.
plot_correlation_variation([title])	Create correlation scatter plot.
subset_period(startdt, enddt)	Subset the observations of the Analysis to a specific period.