Using IndexLocator with DateFormatter

Community matplotlib-users
1

I am trying to figure out how i can use IndexLocator with DateFormatter.
Currently i am only using DayLocator and HourLocator in my code, but it
is showing ticks for all hours in the plot, when I only care about
plotting the hours for when data is available.

I already applied date2num to my dates in the x list below.

from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num

import matplotlib

from matplotlib import rc

import datetime
from pylab import *

x = [732559.39583333337, 732559.40625, 732559.41666666663,
732559.42708333337,
    732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875,
    732559.47916666663 , 732559.48958333337, 732559.5,
732559.51041666663,
    732559.52083333337, 732559.53125, 732559.54166666663,
732559.55208333337,
    732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375,
    732559.60416666663, 732559.61458333337, 732559.625,
732559.63541666663,
    732559.64583333337, 732559.65625, 732559.66666666663,
732560.39583333337,
    732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375,
    732560.44791666663, 732560.45833333337, 732560.46875,
732560.47916666663,
    732560.48958333337, 732560.5, 732560.51041666663,
732560.52083333337,
    732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625,
    732560.57291666663, 732560.58333333337, 732560.59375,
732560.60416666663,
    732560.61458333337, 732560.625, 732560.63541666663,
732560.64583333337,
    732560.65625, 732560.66666666663]
y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999,
    13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
13.02,
    13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92,
    12.960000000000001, 12.98, 13.19, 13.140000000000001,
13.130000000000001,
    13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
13.15,
    13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001,
    13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999,
    13.140000000000001, 13.119999999999999, 13.1, 13.09,
13.130000000000001,
    13.119999999999999, 13.130000000000001, 13.130000000000001,
    13.140000000000001, 13.15, 13.16, 13.119999999999999,
13.119999999999999,
    13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]

datesindex = range(len(x))

days = DayLocator()
hours = HourLocator()
ax = subplot(111)
plot(x, y)

ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
ax.xaxis.set_minor_locator(hours)
ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
'center', fontsize=8)
minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
fontsize=8)

grid(True)
show()

Any suggestions would be greatly appreciated.

···

--
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ralbright@...1184...

2

I am getting closer to the results I want by modifying my days and hours
locators to read:

days = WeekdayLocator(byweekday=(MO, TU, WE, TH, FR))
hours = HourLocator(byhour=range(9,17,1))

but the xaxis still fills in times for the rest of each day interval,
but now only shows xtick labels for the period during the day i am
concerned with. Is there a way to limit the hours plotted on the xaxis
for each day interval?

···

On Tue, 2006-09-26 at 16:47 -0400, Richard Albright wrote:

I am trying to figure out how i can use IndexLocator with DateFormatter.
Currently i am only using DayLocator and HourLocator in my code, but it
is showing ticks for all hours in the plot, when I only care about
plotting the hours for when data is available.

I already applied date2num to my dates in the x list below.

from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num

import matplotlib

from matplotlib import rc

import datetime
from pylab import *

x = [732559.39583333337, 732559.40625, 732559.41666666663,
732559.42708333337,
    732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875,
    732559.47916666663 , 732559.48958333337, 732559.5,
732559.51041666663,
    732559.52083333337, 732559.53125, 732559.54166666663,
732559.55208333337,
    732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375,
    732559.60416666663, 732559.61458333337, 732559.625,
732559.63541666663,
    732559.64583333337, 732559.65625, 732559.66666666663,
732560.39583333337,
    732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375,
    732560.44791666663, 732560.45833333337, 732560.46875,
732560.47916666663,
    732560.48958333337, 732560.5, 732560.51041666663,
732560.52083333337,
    732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625,
    732560.57291666663, 732560.58333333337, 732560.59375,
732560.60416666663,
    732560.61458333337, 732560.625, 732560.63541666663,
732560.64583333337,
    732560.65625, 732560.66666666663]
y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999,
    13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
13.02,
    13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92,
    12.960000000000001, 12.98, 13.19, 13.140000000000001,
13.130000000000001,
    13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
13.15,
    13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001,
    13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999,
    13.140000000000001, 13.119999999999999, 13.1, 13.09,
13.130000000000001,
    13.119999999999999, 13.130000000000001, 13.130000000000001,
    13.140000000000001, 13.15, 13.16, 13.119999999999999,
13.119999999999999,
    13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]

datesindex = range(len(x))

days = DayLocator()
hours = HourLocator()
ax = subplot(111)
plot(x, y)

ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
ax.xaxis.set_minor_locator(hours)
ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
'center', fontsize=8)
minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
fontsize=8)

grid(True)
show()

Any suggestions would be greatly appreciated.

--
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ralbright@...1184...

3

Please disregard, i finally solved my problem using IndexLocator:

# datetime variable x is in 15 min intervals, 6 1/2 hours in trading day
# results in 26 data points per day, so:
days = IndexLocator(26, 1)
hours = IndexLocator(4, 1)
ax = subplot(111)
plot(datesindex, y)

ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(IndexDateFormatter(x, '%Y-%m-%d %H:%M:%S'))
ax.xaxis.set_minor_locator(hours)
ax.xaxis.set_minor_formatter(IndexDateFormatter(x, 'Y-%m-%d %H:%M:%S'))

Thanks to all who have help me with previous issues. :slight_smile:

···

On Wed, 2006-09-27 at 09:58 -0400, Richard Albright wrote:

I am getting closer to the results I want by modifying my days and hours
locators to read:

days = WeekdayLocator(byweekday=(MO, TU, WE, TH, FR))
hours = HourLocator(byhour=range(9,17,1))

but the xaxis still fills in times for the rest of each day interval,
but now only shows xtick labels for the period during the day i am
concerned with. Is there a way to limit the hours plotted on the xaxis
for each day interval?

On Tue, 2006-09-26 at 16:47 -0400, Richard Albright wrote:
> I am trying to figure out how i can use IndexLocator with DateFormatter.
> Currently i am only using DayLocator and HourLocator in my code, but it
> is showing ticks for all hours in the plot, when I only care about
> plotting the hours for when data is available.
>
> I already applied date2num to my dates in the x list below.
>
>
>
> from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num
>
> import matplotlib
>
> from matplotlib import rc
>
> import datetime
> from pylab import *
>
>
> x = [732559.39583333337, 732559.40625, 732559.41666666663,
> 732559.42708333337,
> 732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875,
> 732559.47916666663 , 732559.48958333337, 732559.5,
> 732559.51041666663,
> 732559.52083333337, 732559.53125, 732559.54166666663,
> 732559.55208333337,
> 732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375,
> 732559.60416666663, 732559.61458333337, 732559.625,
> 732559.63541666663,
> 732559.64583333337, 732559.65625, 732559.66666666663,
> 732560.39583333337,
> 732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375,
> 732560.44791666663, 732560.45833333337, 732560.46875,
> 732560.47916666663,
> 732560.48958333337, 732560.5, 732560.51041666663,
> 732560.52083333337,
> 732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625,
> 732560.57291666663, 732560.58333333337, 732560.59375,
> 732560.60416666663,
> 732560.61458333337, 732560.625, 732560.63541666663,
> 732560.64583333337,
> 732560.65625, 732560.66666666663]
> y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999,
> 13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
> 13.02,
> 13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92,
> 12.960000000000001, 12.98, 13.19, 13.140000000000001,
> 13.130000000000001,
> 13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
> 13.15,
> 13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001,
> 13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999,
> 13.140000000000001, 13.119999999999999, 13.1, 13.09,
> 13.130000000000001,
> 13.119999999999999, 13.130000000000001, 13.130000000000001,
> 13.140000000000001, 13.15, 13.16, 13.119999999999999,
> 13.119999999999999,
> 13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]
>
> datesindex = range(len(x))
>
> days = DayLocator()
> hours = HourLocator()
> ax = subplot(111)
> plot(x, y)
>
> ax.xaxis.set_major_locator(days)
> ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
> ax.xaxis.set_minor_locator(hours)
> ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
> setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
> 'center', fontsize=8)
> minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
> setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
> fontsize=8)
>
> grid(True)
> show()
>
> Any suggestions would be greatly appreciated.
>
--
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ralbright@...1184...

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--
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ralbright@...1184...