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import plotly.graph_objs as go
from plotly.offline import plot
def time_series_cpu_per_task_plot(df_resources, resource_type, label):
yaxis = dict(title='Accumulated CPU user time (seconds)')
fig = go.Figure(data=[go.Scatter(x=df_resources['timestamp'],
y=df_resources[resource_type])],
layout=go.Layout(xaxis=dict(tickformat='%m-%d\n%H:%M:%S',
autorange=True,
title='Time'),
yaxis=yaxis,
title=label))
return plot(fig, show_link=False, output_type="div", include_plotlyjs=False)
def time_series_memory_per_task_plot(df_resources, resource_type, label):
if resource_type == "psutil_process_memory_percent":
yaxis = dict(title="Memory utilization")
data = [go.Scatter(x=df_resources['timestamp'],
y=df_resources[resource_type])]
else:
yaxis = dict(title='Memory usage (GB)')
data = [go.Scatter(x=df_resources['timestamp'],
y=[num / 1000000000 for num in df_resources[resource_type].astype(float)])]
fig = go.Figure(data=data,
layout=go.Layout(xaxis=dict(tickformat='%m-%d\n%H:%M:%S',
autorange=True,
title='Time'),
yaxis=yaxis,
title=label))
return plot(fig, show_link=False, output_type="div", include_plotlyjs=False)
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