plot

Easily create plots from chronicle metrics data

You can plot a single metric using .metrics.plot(). This will create a plot based on plotly.

ChronicleMetrics.plot

 ChronicleMetrics.plot (name:str, service:str=None, title:str=None,
                        alias:str=None, sparkline:bool=None)

Plot a selected metric using a Plotly line plot

	Type	Default	Details
name	str		name of metric to extract
service	str	None	service to extract metric from
title	str	None	title of plot
alias	str	None	alias to use for new column
sparkline	bool	None	whether to use sparkline
Returns	Figure

m = (
    scan_chronicle_metrics("./data", "2023/04/03")
    .metrics.plot("rstudio_system_memory_used", service = "workbench-metrics", alias = "memory")
)
assert type(m) == go.Figure
m

Unable to display output for mime type(s): application/vnd.plotly.v1+json

# # change plotly plot into sparkline
# layout = {
#     'xaxis': {'showgrid': False, 'showticklabels': False, 'zeroline': False},
#     'yasix': {'showgrid': False, 'showticklabels': False, 'zeroline': False},
#     'showlegend': False,
# }

# p.update_layout(
#     showlegend=False,
#     xaxis=dict(showgrid=False, showticklabels=False, zeroline=False, visible=False),
#     yaxis=dict(showgrid=False, showticklabels=False, zeroline=False, visible=False),
#     title=None,
#     margin=dict(l=0, r=0, t=0, b=0),
#     paper_bgcolor="rgba(0,0,0,0)",
#     plot_bgcolor="rgba(0,0,0,0)",
# )
# p