iode.ComputedTable.nb_columns

property ComputedTable.nb_columns: int

The number of columns of the computed table.

Examples

>>> from iode import SAMPLE_DATA_DIR
>>> from iode import Table, tables, variables
>>> tables.load(f"{SAMPLE_DATA_DIR}/fun.tbl")
Loading .../fun.tbl
46 objects loaded 
>>> variables.load(f"{SAMPLE_DATA_DIR}/fun.var")
Loading .../fun.var
394 objects loaded

>>> # two time series (current workspace) - 5 observations
>>> computed_table = tables["C8_1"].compute("(2010;2010/2009):5")
>>> computed_table.nb_columns
10
>>> computed_table.columns
['10', '10/09', '11', '11/10', '12', '12/11', '13', '13/12', '14', '14/13']
>>> computed_table
   line title \ period[file]     |    10    | 10/09 |    11    | 11/10 |    12    | 12/11 |    13    | 13/12 |    14    | 14/13
--------------------------------------------------------------------------------------------------------------------------------
Output potentiel                 |  6936.11 |  1.74 |  7045.34 |  1.57 |  7161.54 |  1.65 |  7302.29 |  1.97 |  7460.12 |  2.16
Stock de capital                 | 11293.85 |  2.82 | 11525.01 |  2.05 | 11736.78 |  1.84 | 11975.49 |  2.03 | 12263.95 |  2.41
Intensité de capital             |     0.39 | -2.17 |     0.38 | -2.05 |     0.37 | -1.91 |     0.36 | -1.86 |     0.36 | -1.90
Productivité totale des facteurs |     1.10 |  1.00 |     1.11 |  1.00 |     1.12 |  1.00 |     1.13 |  1.00 |     1.14 |  1.00