Dictionary table

class arepy.data.dictTab(keys, items=None)

Dictionary table

Variables

• or dict[dict] items (list[dict]) – List of items

• size (int) – Size of the list

• keys (list[str]) – Column names (keys)

Parameters

• keys (list[str]) – Column names (keys)

• items – List of table rows (values)

Key items

list[tuple] or dict[dict]

Returns

Object of self

This purely cosmetic function converts tabulated parameters into a list of dictionaries. It makes the code a bit neater and more readable

Examples:

1. Return a list:

   >>> props = apy.data.dictTab(['key','label','scale'],[
   >>>     ('X_H2',     '$X_\mathrm{H_2}$','lin'),
   >>>     ('Mass',     'M ($M_\odot$)',   'log'),
   >>> ])
   >>> props.items
   
   [{'key':'X_H2', 'label':'$X_\mathrm{H_2}$', 'scale':'lin'}
    {'key':'Mass', 'label':'M ($M_\odot$)', 'scale':'log'}]
   

2. Return a dictionary:

   >>> props = apy.data.dictTab(['key','label','scale'],{
   >>>     "item1": ('X_H2',     '$X_\mathrm{H_2}$','lin'),
   >>>     "item2": ('Mass',     'M ($M_\odot$)',   'log'),
   >>> })
   >>> props.items
   
   {"item1": {'key':'X_H2', 'label':'$X_\mathrm{H_2}$', 'scale':'lin'}
    "item2": {'key':'Mass', 'label':'M ($M_\odot$)', 'scale':'log'}}
   

addItems(items)

Add rows to the table

Parameters

items (touple) – Table row (dictionary values)

getColumn(col)

Get column from a table

Parameters

col (str) – A dictionary key to select

Return list

List of values selected by a key

correlate()

Return a correlation of the items

Returns

Data correlation list

Return type

arepy.data.correlate