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has2k1 avatar has2k1 commented on May 19, 2024

Checkout the documentation of the scaling library mizani, the functions are defined in there.

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flyingvince avatar flyingvince commented on May 19, 2024

Thank you for your help. In the example below I would like to extend the x labels up to 'Aug-2017' and have minor breaks shown up to that point as well.

How to achieve this? Do I need to use xlim() ? Is there a way to force mizani.breaks.date_breaks to extend beyond the min & max datetime objects available from limits object?

import random
import pandas as pd
from plotnine import ggplot, aes, geom_line
from plotnine.scales import scale_x_date, scale_y_continuous
from mizani.breaks import date_breaks, minor_breaks
from mizani.formatters import date_format


n = 30
df_test = pd.DataFrame({'date': pd.date_range(start='2017-01-01', periods=n, freq='1W', tz='UTC'), 
                        'value': [random.randrange(0, 100) for x in range(n)]})

limits = df_test['date'].min(), df_test['date'].max()
breaks = date_breaks('1 month')
breaks_date = [x for x in breaks(limits)]
labels_date = date_format('%b-%Y')([x for x in breaks_date])

minor_breaks_x = minor_breaks(n=5)(breaks_date, limits)

ggplot(df_test, aes('date', 'value')) + \
    geom_line() + \
    scale_x_date(breaks=breaks_date, labels=labels_date, minor_breaks=minor_breaks_x) + \
    scale_y_continuous()

image

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has2k1 avatar has2k1 commented on May 19, 2024

You do not need to create the explicit breaks and labels.

This should work

limits = df_test['date'].min(), df_test['date'].max() # change as you need

ggplot(df_test, aes('date', 'value')) + \
    geom_line() + \
    scale_x_date(breaks=date_breaks('1 month'),
                 labels=date_format('%b-%Y'),
                 minor_breaks=minor_breaks(n=5),
                 limits=limits) +\
    scale_y_continuous()

You cannot use xlim() or lims().

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has2k1 avatar has2k1 commented on May 19, 2024

Also, if all the intervals between the breaks are not equal, the minor breaks will not be able to extend beyond the limits. months have varying number of days, so that creates unequal intervals.

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flyingvince avatar flyingvince commented on May 19, 2024

Noted, thank you for the quick feedback.

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hmanuel1 avatar hmanuel1 commented on May 19, 2024

Hi,
Very nice work with this package! I have been using extensively with great results.

Minor comment: it will be nice to add second resolution to the date_breaks() function in the mizani.breaks module.

I was able to add this line:
from matplotlib.dates import SecondLocator
in mizani.breaks breaks.py

and add the "SecondLocator" to same module:

LOCATORS = {
'second': SecondLocator,
'minute': MinuteLocator,
'hour': HourLocator,
'day': DayLocator,
'week': WeekdayLocator,
'month': MonthLocator,
'year': lambda interval: YearLocator(base=interval)
}

Code is working find, but don't know if there is any other dependencies!

Thanks you.

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