report.iplot

report.iplot(models, alpha=0.05, figsize=None, yintercept=None, xintercept=None, rotate_xticks=0, title=None, coord_flip=True, keep=None, drop=None, exact_match=False, plot_backend='lets_plot')

Plot model coefficients for variables interacted via “i()” syntax, with confidence intervals.

Parameters

Name	Type	Description	Default
`models`	list or object	A list of fitted models of type `Feols` or `Fepois`, or just a single model.	required
`figsize`	tuple or None	The size of the figure. If None, the default size is used.	`None`
`alpha`	float	The significance level for the confidence intervals.	`0.05`
`yintercept`	int or None	The value at which to draw a horizontal line on the plot.	`None`
`xintercept`	int or None	The value at which to draw a vertical line on the plot.	`None`
`rotate_xticks`	float	The angle in degrees to rotate the xticks labels. Default is 0 (no rotation).	`0`
`title`	str	The title of the plot.	`None`
`coord_flip`	bool	Whether to flip the coordinates of the plot. Default is True.	`True`
`keep`	Optional[Union[list, str]]	The pattern for retaining coefficient names. You can pass a string (one pattern) or a list (multiple patterns). Default is keeping all coefficients. You should use regular expressions to select coefficients. “age”, # would keep all coefficients containing age r”^tr”, # would keep all coefficients starting with tr r”\d$“, # would keep all coefficients ending with number Output will be in the order of the patterns.	`None`
`drop`	Optional[Union[list, str]]	The pattern for excluding coefficient names. You can pass a string (one pattern) or a list (multiple patterns). Syntax is the same as for `keep`. Default is keeping all coefficients. Parameter `keep` and `drop` can be used simultaneously.	`None`
`exact_match`	bool	Whether to use exact match for `keep` and `drop`. Default is False. If True, the pattern will be matched exactly to the coefficient name instead of using regular expressions.	`False`
`plot_backend`	str	The plotting backend to use between “lets_plot” (default) and “matplotlib”.	`'lets_plot'`

Returns

Type	Description
object	A lets-plot figure.

Examples

import pyfixest as pf

df = pf.get_data()
fit1 = pf.feols("Y ~ i(f1)", data = df)
fit2 = pf.feols("Y ~ i(f1) + X2", data = df)
fit3 = pf.feols("Y ~ i(f1) + X2 | f2", data = df)

pf.iplot([fit1, fit2, fit3])