`lab_driver.process_plots`#

Module Contents#

Functions#

`get_plot_color`	Getting the color string
`get_plot_marker`	Getting the marker for plotting
`save_figure`	Saving figure in given format Args: fig: Matplot which will be saved path: Path for saving the figure name: Name of the plot formats: List with data formats for saving the figures Returns: None
`scale_auto_value`	Getting the scaling value and corresponding string notation for unit scaling in plots Args: data: Array or value for calculating the SI scaling value Returns: Tuple with [0] = scaling value and [1] = SI pre-unit
`plot_transfer_function_norm`	Function for plotting the transfer function
`plot_transfer_function_metric`	Function for plotting the metric, extracted from the transfer function

API#

lab_driver.process_plots.get_plot_color(idx: int) → str[source]#: Getting the color string

lab_driver.process_plots.get_plot_marker(idx: int) → str[source]#: Getting the marker for plotting

lab_driver.process_plots.save_figure(fig, path: str, name: str, formats: list = ('pdf', 'svg')) → None[source]#: Saving figure in given format Args: fig: Matplot which will be saved path: Path for saving the figure name: Name of the plot formats: List with data formats for saving the figures Returns: None

lab_driver.process_plots.scale_auto_value(data: numpy.ndarray | float) → [float, str][source]#: Getting the scaling value and corresponding string notation for unit scaling in plots Args: data: Array or value for calculating the SI scaling value Returns: Tuple with [0] = scaling value and [1] = SI pre-unit

lab_driver.process_plots.plot_transfer_function_norm(data: dict, path2save: str = '', xlabel: str = 'Stimulus Input', ylabel: str = 'Stimulus Output', title: str = 'Transfer Function', file_name: str = '') → None[source]#

Function for plotting the transfer function

Parameters:

data – Dictionary with extracted values from measurement data
path2save – Path for saving the figure
xlabel – Text Label for x-axis
ylabel – Text Label for y-axis
title – Text Label for title
file_name – File name of the saved figure

Returns:

None

lab_driver.process_plots.plot_transfer_function_metric(data: dict, func: object, path2save: str = '', xlabel: str = 'Stimulus Input', ylabel: str = 'Stimulus Output', title: str = 'Transfer Function', file_name: str = '') → None[source]#

Function for plotting the metric, extracted from the transfer function