Documentation for acme_plot

acme_plot.plot

plot_column(df, column_name, plot_kwargs=None, subplot_threshold=10, symbol_column='symbol', datetime_column='datetime')

Plot time series data from a DataFrame with symbol grouping.

This function creates either a single plot with multiple lines or a grid of subplots, depending on the number of unique symbols in the data. If the number of symbols exceeds the subplot_threshold, it switches to a subplot view for better visibility.

Parameters:

Name	Type	Description	Default
df	DataFrame	DataFrame containing the time series data	required
column_name	str	Name of the column to plot on the y-axis	required
plot_kwargs	dict	Additional keyword arguments to pass to plt.plot()	None
subplot_threshold	int	Maximum number of symbols before switching to subplots. Defaults to 10.	10
symbol_column	str	Name of the column containing symbol identifiers. Defaults to 'symbol'.	'symbol'
datetime_column	str	Name of the column containing datetime values. Defaults to 'datetime'.	'datetime'

Raises:

Type	Description
ValueError	If the DataFrame is missing required datetime or symbol columns

Returns:

Name	Type	Description
None		Displays the plot but does not return any value