iode.Table.plot

Table.plot(title: str = None, plot_type: str | TableGraphType = TableGraphType.LINE, grid: str | TableGraphGrid = TableGraphGrid.MAJOR, y_log=False, y_min: float = None, y_max: float = None, legend: bool = True, show: bool = True)[source]

Plot the table using the sample of the variables workspace.

Parameters:

title: str, optional: Title of the plot. If None, the title of the table is used. Default to None.
plot_type: str or TableGraphType, optional: Type of the plot. Can be one of ‘line’, ‘scatter’, or ‘bar’. Default to ‘line’.
grid: str or TableGraphGrid, optional: Type of the grid to be used in the plot. Can be one of ‘major’, ‘minor’, or ‘none’. Default to ‘major’.
y_log: bool, optional: If True, the y-axis will be in logarithmic scale. Default to False.
y_min: float, optional: Minimum value for the y-axis. If None, the minimum value is automatically determined. Default to None.
y_max: float, optional: Maximum value for the y-axis. If None, the maximum value is automatically determined. Default to None.
legend: bool, optional: whether to show legend. Defaults to True.
showbool, optional: If True, the plot will be displayed immediately. If False, the plot will not be shown until plt.show() is called. Default is True.

Returns:

ax: matplotlib.axes.Axes: The matplotlib Axes object containing the plot.

Examples

>>> from iode import SAMPLE_DATA_DIR, 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
>>> tables["C8_1"]
DIVIS | 1                                  |
TITLE |      "Déterminants de l'output potentiel"
----- | ---------------------------------------------
CELL  |                                    |   "#s"
----- | ---------------------------------------------
CELL  | "Output potentiel"                 |  Q_F+Q_I
CELL  | "Stock de capital"                 | KNFF[-1]
CELL  | "Intensité de capital"             |    KLFHP
CELL  | "Productivité totale des facteurs" |  TFPFHP_

nb lines: 8
nb columns: 2
language: 'ENGLISH'
gridx: 'MAJOR'
gridy: 'MAJOR'
graph_axis: 'VALUES'
graph_alignment: 'LEFT'

>>> table = tables["C8_1"]
>>> ax = table.plot()