plot_value

plot_value(
    results_df
    value
    compound_sel=False
    marker='o'
    markersize=5
    color='black'
    label=None
    show_annot=True
    pre_text=''
    post_text=''
    decimals=2
    xoffset=50
    yoffset=0
)

Plots a marker to indicate a specific value on the curve, optionally with text annotation.

Parameters

Name	Type	Description	Default
results_df	DataFrame	Pandas DataFrame containing the fit results.	required
value	str	What value to plot. This should be one of the column names in results_df. Usually “IC50”, “Kd” or “Kds”.	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
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
color	str	Color of the marker. Any matplotlib syntax will be accepted.	'black'
label	str	Label for the marker to show in legend.	None
show_annot	bool	Whether to show text annotation.	True
pre_text	str	Text to apear before the numerical annotation.	''
post_text	str	Text to apear after the numerical annotation.	''
decimals	int	Number of decimals to use for the numerical annotation.	2
xoffset	float or int	Offset of the annotation on x axis.	50
yoffset	float or int	Offset of the annotation on y axis.	0