did.visualize.panelview

did.visualize.panelview(
    data
    unit
    time
    treat
    outcome=None
    collapse_to_cohort=False
    subsamp=None
    units_to_plot=None
    sort_by_timing=False
    xlab=None
    ylab=None
    figsize=(11, 3)
    noticks=False
    title=None
    legend=False
    ax=None
    xlim=None
    ylim=None
)

Generate a panel view of the treatment variable over time for each unit.

Parameters

Name	Type	Description	Default
data	pandas.DataFrame	The input dataframe containing the data.	required
unit	str	The column name representing the unit identifier.	required
time	str	The column name representing the time identifier.	required
treat	str	The column name representing the treatment variable.	required
outcome	str	The column name representing the outcome variable. If not None, an outcome plot is generated.	None
collapse_to_cohort	bool	Whether to collapse units into treatment cohorts.	False
subsamp	int	The number of samples to draw from data set for display (default is None).	None
sort_by_timing	bool	Whether to sort the treatment cohorts by the number of treated periods.	False
xlab	str	The label for the x-axis. Default is None, in which case default labels are used.	None
ylab	str	The label for the y-axis. Default is None, in which case default labels are used.	None
figsize	tuple	The figure size for the outcome plot. Default is (11, 3).	(11, 3)
noticks	bool	Whether to display ticks on the plot. Default is False.	False
title	str	The title for the plot. Default is None, in which case no title is displayed.	None
legend	bool	Whether to display a legend. Default is False (since binary treatments are self-explanatory).	False
ax	matplotlib.pyplot.Axes	The axes on which to draw the plot. Default is None, in which case a new figure is created.	None
xlim	tuple	The limits for the x-axis of the plot. Default is None.	None
ylim	tuple	The limits for the y-axis of the plot. Default is None.	None
units_to_plot	list	A list of unit to include in the plot. If None, all units in the dataset are plotted.	None

Returns

Name	Type	Description
ax	matplotlib.pyplot.Axes

Examples

import pandas as pd
import numpy as np
import pyfixest as pf

df_het = pd.read_csv("pd.read_csv("pyfixest/did/data/df_het.csv")

# Inspect treatment assignment
pf.panelview(
    data = df_het,
    unit = "unit",
    time = "year",
    treat = "treat",
    subsamp = 50,
    title = "Treatment Assignment"
)

# Outcome plot
pf.panelview(
    data = df_het,
    unit = "unit",
    time = "year",
    outcome = "dep_var",
    treat = "treat",
    subsamp = 50,
    title = "Outcome Plot"
)