prepare_trend_graph

prepare_trend_graph(df, ts_id, var=None)

Line-plot the mean (with standard-error bars) of variables over time.

Parameters

Name	Type	Description	Default
df	pd.DataFrame	Data frame containing ts_id and the numeric variables to plot.	required
ts_id	str	Column name of the time-series identifier.	required
var	Sequence[str] | None	Variables to plot. Defaults to all numeric columns other than ts_id.	None

Returns

Name	Type	Description
	TrendGraphResult	df (columns variable, ts_id, mean, se) and the Plotly fig.

Examples

Basic — mean of a single variable over time, with standard-error bars:

import expdpy as ex
from expdpy.data import load_kuznets

df = load_kuznets()
ex.prepare_trend_graph(df, ts_id="year", var=["gini_regional"]).fig

Advanced — several variables on one chart, with the aggregated frame from .df:

result = ex.prepare_trend_graph(
    df, ts_id="year", var=["gini_regional", "trade_share"]
)
result.fig
result.df.head()