The diagram with time.struct_time data is not displayed

Code:

import time
from bokeh.io import curdoc
from bokeh.plotting import figure, show
from bokeh.models import LinearAxis, Span

processes, seconds = [], []
for line in ['1	2:55',
             '2	2:01',
             '3	1:25',
             '4	1:09',
             '5	1:10',
             '6	1:13',
             '7	1:16',
             '8	1:10']:
        row = line.rstrip().split('\t')
        processes.append(int(row[0]))
        seconds.append(time.strptime(row[1],
                                     '%H:%M'))
curdoc().theme = 'dark_minimal'
p = figure(x_axis_label='Parallel processes',
           y_axis_label='Time',
           x_range=(0, processes[-1]))
cores_label_place = processes[-1] // 4
threads_label_place = processes[-1] - cores_label_place
p.add_layout(LinearAxis(ticker=[cores_label_place,
                                threads_label_place],
                        major_label_overrides={cores_label_place: 'CPU cores',
                                               threads_label_place: 'CPU threads'}),
             'above')
p.add_layout(Span(location=processes[-1] / 2,
                  dimension='height',
                  line_dash='dashed',
                  line_color='white'))
p.line(processes, seconds)
show(p)

Result:
Neither the main axis labels, nor the additional axis labels, nor the main line are displayed. But the span line is shown.

Снимок экрана от 2022-03-21 18.34.18605×605 7.32 KB

Plotted objects:
[1, 2, 3, 4, 5, 6, 7, 8]

[time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=2, tm_min=55, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=2, tm_min=1, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=25, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=9, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=10, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=13, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=16, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1), time.struct_time(tm_year=1900, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=10, tm_sec=0, tm_wday=0, tm_yday=1, tm_isdst=-1)]

@PlatonB please remove all the irrelevant code (argument handling, etc) and make sure your sample code is reduced to a Minimal Reproducible Example. Ideally, someone can paste your code into an editor and run it immediately (the quicker simpler/you can make it, the more likely someone will volunteer their time to look)

@Bryan
fixed

@PlatonB I am not sure if Bokeh is expected to understand time objects or not^[1], but clearly what is making it to the browser is not useful for BokehJS:

Screen Shot 2022-03-21 at 10.07.391048×342 68.2 KB

Bokeh datetime axes fundamentally use “milliseconds since epoch” and definitely convert datetime objects to that, as needed. I’d suggest trying those first.

1. Either way, AFAIK you are the first person to ask about “time” objects in the last ten years, so if it does not work, I am not too surprised. Feel free to open a GitHub Issue about it. ↩︎

BTW you would want to set y_axis_type="datetime" if you do use datetime objects.

Temporary solution.
I got around the problem using pandas.to_timedelta.

Working code:

import pandas as pd
from bokeh.io import curdoc
from bokeh.plotting import figure, show
from bokeh.models import LinearAxis, Span

processes = pd.Series([1, 2, 3, 4, 5, 6, 7, 8]).to_list()
time = pd.to_timedelta(pd.Series(['2h55m', '2h01m',
                                  '1h25m', '1h09m',
                                  '1h10m', '1h13m',
                                  '1h16m', '1h10m'])).to_list()
curdoc().theme = 'dark_minimal'
p = figure(x_range=(0, processes[-1]),
           y_axis_type='datetime')
cores_label_place = processes[-1] // 4
threads_label_place = processes[-1] - cores_label_place
p.add_layout(LinearAxis(ticker=[cores_label_place,
                                threads_label_place],
                        major_label_overrides={cores_label_place: 'CPU cores',
                                               threads_label_place: 'CPU threads'}),
             'above')
p.add_layout(Span(location=processes[-1] / 2,
                  dimension='height',
                  line_dash='dashed',
                  line_color='white'))
p.line(processes, time)
show(p)

Result:

Снимок экрана от 2022-03-21 21.55.32602×602 21.1 KB

P.S.
But it would be nice if this data could be prepared with the built-in Python instruments.

As I mentioned above there has been almost no detectable interest in using time objects in data sources. Your best bet to get things on the radar is to submit a detailed GitHub Issue to request support for it.

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