petab.visualize.plotting_config¶
Plotting config
Functions
plot_lowlevel (vis_spec, ax, axx, axy, …) |
plotting routine / preparations: set properties of figure and plot the data with given specifications (lineplot with errorbars, or barplot) |
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petab.visualize.plotting_config.
plot_lowlevel
(vis_spec: pandas.core.frame.DataFrame, ax: numpy.ndarray, axx: int, axy: int, conditions: pandas.core.series.Series, ms: pandas.core.frame.DataFrame, ind_plot: pandas.core.series.Series, i_visu_spec: int, plot_sim: bool)¶ plotting routine / preparations: set properties of figure and plot the data with given specifications (lineplot with errorbars, or barplot)
Parameters: - vis_spec – pandas data frame, contains defined data format (visualization file)
- ax – np.ndarray, matplotlib.Axes
- axx – int, subplot axis indices for x
- axy – int, subplot axis indices for y
- conditions – pd.Series, Values on x-axis
- ms – pd.DataFrame, containing measurement data which should be plotted
- ind_plot – pd.Series, boolean vector, with size: len(rows in visualization file) x 1 with ‘True’ entries for rows which should be plotted
- i_visu_spec – int64, current index (row number) of row which should be plotted in visualizationSpecification file
- plot_sim – bool, tells whether or not simulated data should be plotted as well
Returns: ax
Return type: matplotlib.Axes