emodpy.analyzers.timeseries_analyzer module¶

class emodpy.analyzers.timeseries_analyzer.TimeseriesAnalyzer(filenames=['output/InsetChart.json'], channels=('Statistical Population', 'Infectious Population', 'Infected', 'Waning Population'), save_output=True)¶

Bases: idmtools.entities.ianalyzer.IAnalyzer

data_group_names = ['group', 'sim_id', 'channel']¶

ordered_levels = ['channel', 'group', 'sim_id']¶

output_file = 'timeseries.csv'¶

initialize()¶

Call once after the analyzer has been added to the AnalyzeManager.

Add everything depending on the working directory or unique ID here instead of in __init__.

default_select_fn(ts)¶

default_group_fn(k, v)¶

default_plot_fn(df, ax)¶

default_filter_fn(md)¶

filter(simulation)¶

Decide whether the analyzer should process a simulation/work item.

Parameters: item – An IItem to be considered for processing with this analyzer.
Returns: A Boolean indicating whether simulation/work item should be analyzed by this analyzer.

get_channel_data(data_by_channel, selected_channels)¶

map(data, simulation)¶

In parallel for each simulation/work item, consume raw data from filenames and emit selected data.

Parameters

data – A dictionary associating filename with content for simulation data.
item – IItem object that the passed data is associated with.

Returns

Selected data for the given simulation/work item.

plot_by_channel(channels, plot_fn)¶

reduce(all_data)¶

Combine the map() data for a set of items into an aggregate result.

Parameters: all_data – A dictionary with entries for the item ID and selected data.