On Mar 12, 2016, at 1:31 PM, A.S <[email protected]> wrote:
Thanks a lot!
That's elegant and it is working.
The only problem I am seeing is that if I allow a toolbar and then press the reset widget, the graph will squeeze and disappear.
Do you know why or if there is any solution to that?
On Friday, March 11, 2016 at 3:59:31 PM UTC+1, Jeff Harris wrote:
A minimal example:
import pandas as pd
import numpy as np
# setup range
rng = pd.date_range(start='3/11/16', periods=48, freq='H' )
td = pd.Series([ pd.Timedelta(minutes=i) for i in np.random.randint(0,59,48) ])
interval = pd.DataFrame({'start' : rng })
interval['end'] = interval['start'] + td
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show, output_file
cds_df = ColumnDataSource(interval)
p = figure(x_axis_type='datetime', plot_height=100, plot_width=500, responsive=True)
# hide the toolbar
p.toolbar_location=None
# formatting
p.yaxis.minor_tick_line_color = None
p.ygrid[0].ticker.desired_num_ticks = 1
y1 = p.quad(left='start',right='end',bottom=0, top=1, source=cds_df )
output_file("time_interval.html", mode='cdn')
show(p)
On Fri, Mar 11, 2016 at 1:06 PM, <[email protected]> wrote:
I was wondering how to plot pairs of timestamps in a simple graph such as the one in the picture.
What I have is a Python list such as:
['Friday 11 March 2016 08:43:07AM', 'Friday 11 March 2016 08:47:07AM', 'Friday 11 March 2016 08:52:08AM', 'Friday 11 March 2016 08:59:09AM']
The first item of the list is the start time of the first interval, the second is the end time of the first interval, and so on there may be dozens of intervals in the list. I can also iterate through the list and export it to a pandas dataframe with a Start and an End column where each pair is stored as a dataframe row.
However, I have no idea how I could produce the following graph with bokeh.
Any idea?
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