“Widgets: HTC Visualizer” Module

A core module running interactive widgets in notebook

class panpython.sdk.widgets.htc_visualizer.PointHtcViz(state_space, descriptions, table, units, cal_type='point')

Bases: object

A visualization class of point HTC results

Parameters:

• state_space (List[str]) – The state space to plot box

• descriptions (List[str]) – The properties to be analyzed

• table (pd.DataFrame) – The mega table to be analyzed

• units (Dict[str, str]) – The units of columns of the mega table

• cal_type (str, default='point') – type of HTC calculation

Examples

>>> %matplotlib inline
>>> import ipywidgets as widgets
>>> from ipywidgets import fixed, interactive, interact, interact_manual, HBox, VBox
>>> import pandas as pd
>>>
>>> from panpython.sdk.stat.data_cleanup_for_htc_point import HtcPointInterpreter
>>> from panpython.sdk.widgets.htc_visualizer import PointHtcViz
>>>
>>> # -- get table (Dataframe) and units (list) from merged csv file
>>> merged_file = './output/merged.csv'
>>> m_htc_point_interpreter = HtcPointInterpreter(merged_file)
>>> table = pd.DataFrame()
>>> units = []
>>> try:
>>>     table, units = m_htc_point_interpreter.get_table_and_units()
>>>     x_columns = table.filter(regex=r"x\(*").columns
>>>     vf_columns = table.filter(regex=r"f\(@*").columns
>>>     print(merged_file, 'is loaded')
>>> except FileNotFoundError as e:
>>>     print(e)
>>>
>>> # visualize
>>> if (not table.empty) and units:
>>>     m_htc_viz = PointHtcViz(['T'] + list(x_columns), vf_columns, table=table, units=units)
>>>     m_htc_viz.run()
>>> else:
>>>     print('table is not loaded.')

append_cond(cond_table, cond_units)

Add htc condition table with htc task_id (and source_id) and its units to visualization

Parameters:

• cond_table (pd.DataFrame) – the table containing HTC conditions with task_id (and source_id)

• cond_units (Dict[str, str]) – the units of columns of the condition table

run()

Launch the visualization widget

class panpython.sdk.widgets.htc_visualizer.PrecipitateHtcViz(cond_table, cond_units, prop_table, prop_units, descriptions)

Bases: object

A visualization class of Precipitation HTC results

Parameters:

• cond_table (pd.DataFrame) – the table containing HTC conditions with task_id (and source_id)

• cond_units (Dict[str, str]) – the units of columns of the condition table

• prop_table (pd.DataFrame) – The mega table to be analyzed

• prop_units (Dict[str, str]) – The units of columns of the mega table

• descriptions (List[str]) – The properties to be analyzed

Note

Please see “Solution Examplespanhtc_precipitation_post_processpanhtc_precipitation_post_process.ipynb” for a detailed example.

run()

Launch the visualization widget