plot_grid

plot_grid(
    input_df
    results_df
    compound_sel=False
    xmin=False
    xmax=False
    marker='o'
    markersize=5
    linewidth=1
    linestyle='-'
    show_medians=True
    show_all_data=False
    show_errorbars=True
    errorbars_kind='SD'
    errorbar_linewidth=1
    errorbar_capsize=3
    cmap='tab10'
    cmap_min=0
    cmap_max=1
    custom_colors=False
    single_color=False
    custom_labels=False
    single_label=False
    no_labels=False
    x_logscale=True
    show_legend=False
    show_title=True
    figsize=(7, 5)
    n_cols=3
    x_label='dose'
    y_label='response'
    show_inner_ticklabels=False
    sharex=True
    sharey=True
    hspace=0.3
    wspace=0.3
)

Plots a grid of binding curves.

Parameters

Name	Type	Description	Default
input_df	DataFrame	Pandas DataFrame containing the input data.	required
results_df	DataFrame	Pandas DataFrame containing the fit results.	required
compound_sel	list	List of compounds to execute the function on. If set to False, all compounds from the results_df will be used.	False
xmin	float or int	Manually set the minimum value on x axis for all curves. If set to False, it will be determined automatically for each curve.	False
xmax	float or int	Manually set the maximum value on x axis for all curves. If set to False, it will be determined automatically for each curve.	False
marker	str	Marker type. Any matplotlib syntax is accepted (see https://matplotlib.org/stable/api/markers_api.html).	'o'
markersize	float or int	Marker size.	5
linewidth	float or int	Line width of the curve.	1
linestyle	str	Line style of the curve.	'-'
show_medians	bool	Whether to show concentration median values.	True
show_all_data	bool	Whether to show all concentration points.	False
show_errorbars	bool	Whether to show errorbars.	True
errorbars_kind	str	What should be shown as errorbars, options are “SD” or “SEM”.	'SD'
errorbar_linewidth	float or int	Line width of the errorbars.	1
errorbar_capsize	float or int	Size of the errorbar caps (upper and lower points of the bars).	3
cmap	str	What cmap to use for coloring the curves. Any matplotlib syntax is accepted (see https://matplotlib.org/stable/gallery/color/colormap_reference.html).	'tab10'
cmap_min	float or int	Minimum point of the cmap to use. Between 0 and 1.	0
cmap_max	float or int	Maximum point of the cmap to use. Between 0 and 1.	1
custom_colors	list	If you want to define custom colors for the curves, provide list. Length of the list should be the same as number of compounds.	False
single_color	str	Provide single color to color all ploted curves.	False
custom_labels	list	If you want to define custom labels for the curves, provide list. Length of the list should be the same as number of compounds.	False
single_label	str	Provide single label for all ploted curves.	False
no_labels	bool	If you do not want any labels, set this to true.	False
x_logscale	bool	If set to True, the x axis will be plotted on a log scale.	True
show_legend	bool	Whether to show legend in each subplot.	False
show_title	bool	Whether to show names of the compounds in the title for each sunplot.	True
figsize	tuple	Tuple of (x, y) determining dimensions for the plot. This is passed into matplotlib figsize.	(7, 5)
n_cols	int	Number of columns to plot. Number of rows is then determined automatically.	3
x_label	str	Axis label for the x axis.	'dose'
y_label	str	Axis label for the y axis.	'response'
show_inner_ticklabels	bool	Whether to show ticklabels on the inner axes of the grid.	False
sharex	bool	Whether to share (lock) the scales on the x axes for all subplots in the grid.	True
sharey	bool	Whether to share (lock) the scales on the y axes for all subplots in the grid.	True
hspace	float or int	Horizontal space between subplots.	0.3
wspace	float or int	Horizontal space between subplots.	0.3