Some useful tips
=======================

Here are some manipulations of recurring Python table data when you want to go further in generating curves from *Code_Aster*.

**Extract from the table from** **POST_RELEVE_Tla list of post-processing nodes:**

When a quantity is post-processed on a group of nodes (with more than one node) for several moments, the nodes appear for each moment, it is therefore necessary to extract the list of these nodes without repetition.


+--------------------------------------------+---------------------------------------+
|tabpy = tab. EXTR_TABLE ()                  |Creating the Python Table Object       |
+--------------------------------------------+---------------------------------------+
|tno = tabpy. NOEUD .values ()               |We extract the values from column NOEUD|
+--------------------------------------------+---------------------------------------+
|lno = list (set ([i.strip () for i in tno]))                                        |
+--------------------------------------------+---------------------------------------+
|                                            |Effective method for eliminating       |
+--------------------------------------------+---------------------------------------+
|                                            |duplicates using set                   |
+--------------------------------------------+---------------------------------------+
|name.sort ()                                |Sort in ascending order                |
+--------------------------------------------+---------------------------------------+

**Build one or more keywords dynamically:**

This can in particular be useful for entering the keyword factor FILTRE of IMPR_TABLE according to the context; in this case a dictionary is built which is then supplied as an argument to the command.

This:

IMPR_TABLE (

UNITE = unit,

TABLE = tab,

FORMAT = 'XMGRACE',

FILTRE = (_F (NOM_PARA =' NOEUD ',

VALE_K = 'N4',),

_F (NOM_PARA =' NOEUD ',

VALE_K = 'N4',),),

NOM_PARA = ('INST', 'VMIS'),

)

is equivalent to this:

mfac = {'FILTRE': [{'NOM_PARA': 'NOEUD', 'VALE_K': 'N4'},

{'NOM_PARA': 'INTITULE', 'VALE_K', '': 'example'},],

'NOM_PARA': ['INST', 'VMIS'],

'UNITE': unit,

'FORMAT': 'XMGRACE',}

IMPR_TABLE (

TABLE = tab,

**MFAC

)

The advantage is of course to be able to build the dictionary as you wish.

**Note**

*The factor keywords (here* *FILTRE) can be constructed using* *_F (keyword = value), but it is more flexible to see them as a list of dictionaries.*