View the .ipynb file.

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Create and Edit Tabular Data

Create a new tabular attribute, add, delete and swap rows, and edit the units.

Create a new record

Connect to MI and specify a database and table.

from datetime import datetime
from GRANTA_MIScriptingToolkit import granta as mpy

mi = mpy.connect('http://localhost/mi_servicelayer', autologon=True)
db = mi.get_db(db_key='MI_Training')
tab = db.get_table('Tensile Test Data')

Create a new record.

now = datetime.now().strftime("%c")
recordName = 'STK Example 14:{}'.format(now)
rec = tab.create_record(recordName, subsets={'In Progress'})

Access a Tabular attribute

Access the (empty) Tabular attribute Workflow history.

hist = rec.attributes['Workflow history']
hist

<TabularValue name: Workflow history (not loaded)>

Inspect the tabular datum. Using the method show() shows the table in ASCII format.

hist.show()

             User              |              Date              |            Comments            |      Linking Value (None)
---------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------

Look at the __repr__ of the attribute. There are currently no rows in the table.

hist

<TabularValue name: Workflow history, shape: 4 x 0>

Tabular attributes can be loaded with the load() method (there is no data to load in this example):

hist.load()

Add rows and data

Add three (empty) rows to the Tabular object, and view the table in an ACSII-style format.

hist.add_row()
hist.add_row()
hist.add_row()
hist.show()

             User              |              Date              |            Comments            |      Linking Value (None)
---------------------------------------------------------------------------------------------------------------------------------
             None              |              None              |              None              |  '<linking value not chosen>'
             None              |              None              |              None              |  '<linking value not chosen>'
             None              |              None              |              None              |  '<linking value not chosen>'
---------------------------------------------------------------------------------------------------------------------------------

Data is added by accessing the tabular property. The column name should be provided as a string followed by the index of the row. Start by populating the first row:

hist['User', 0] = 'Your username'
hist['Date', 0] = '2019-01-01'  # dates should always be provided in the format YYY-MM-DD
hist['Comments', 0] = 'This is an example comment'
hist.data[:][0]

['Your username',
 '2019-01-01',
 'This is an example comment',
 '<linking value not chosen>']

Populate the second row:

hist['User', 1] = 'Another username'
hist['Date', 1] = '2019-01-02'
hist['Comments', 1] = 'This is another example comment'
hist.data[:][1]

['Another username',
 '2019-01-02',
 'This is another example comment',
 '<linking value not chosen>']

Then populate the third row. The data is stored locally, so the linking values are displayed as <linking value not chosen>.

hist['User', 2] = 'Another username'
hist['Date', 2] = '2019-01-02'
hist['Comments', 2] = 'This is another example comment'
hist.data[:][2]

['Another username',
 '2019-01-02',
 'This is another example comment',
 '<linking value not chosen>']

hist.show()
hist.data

             User              |              Date              |            Comments            |      Linking Value (None)
---------------------------------------------------------------------------------------------------------------------------------
       'Your username'         |          '2019-01-01'          |  'This is an example comment'  |  '<linking value not chosen>'
      'Another username'       |          '2019-01-02'          | 'This is another example c...' |  '<linking value not chosen>'
      'Another username'       |          '2019-01-02'          | 'This is another example c...' |  '<linking value not chosen>'
---------------------------------------------------------------------------------------------------------------------------------

[['Your username',
  '2019-01-01',
  'This is an example comment',
  '<linking value not chosen>'],
 ['Another username',
  '2019-01-02',
  'This is another example comment',
  '<linking value not chosen>'],
 ['Another username',
  '2019-01-02',
  'This is another example comment',
  '<linking value not chosen>']]

Edit the table

Rows can be moved using the swap_rows() method.

hist.data[:][:2]

[['Your username',
  '2019-01-01',
  'This is an example comment',
  '<linking value not chosen>'],
 ['Another username',
  '2019-01-02',
  'This is another example comment',
  '<linking value not chosen>']]

hist.swap_rows(0, 1)

hist.data[:][:2]

[['Another username',
  '2019-01-02',
  'This is another example comment',
  '<linking value not chosen>'],
 ['Your username',
  '2019-01-01',
  'This is an example comment',
  '<linking value not chosen>']]

Rows can also be deleted; for example, one of the two duplicate rows in this table.

hist.delete_row(0)

Access the units

Each Tabular object is associated with a TabularUnits object which stores the units for the Tabular data. View (and edit) these units through the tabular.units property.

hist.units

<Tabular Units, shape: 2 x 3>

Access the complete set of units for the tabular datum

hist.units.data

[['', '', '', None], ['', '', '', None]]

Write your changes to MI

Set your new attribute to update, and write the changes to the server.

rec.set_attributes([hist])
rec = mi.update([rec])

Notes about Tabular data:

• Point-type values in Tabular cannot have parameters, and are always lists.

• Any changes to linked data will be ignored on import.