Issue with Weekly Plotting when Number of Days of Available Data is Low about act HOT 5 CLOSED

# Import necessary standard libraries
from os import environ
import datetime as dt
import astral, act, pathlib
from dqlib.io.data import read_arm_data_act
from dqlib.utils.utils import DatastreamParser, string_dates
from dqlib.io.image import save_plot

def plot_module(run_parameters, ds_object, days=0):

    #Get all the file parameters and metadata needed for processing

    #Get AMC Data
    filename = run_parameters['filename']
    params = DatastreamParser(filename)
    date = params.date
    datastream = params.datastream_standard
    site = params.site
    platform = params.datastream_class
    facility = params.facility
    level = params.level
    data_path = run_parameters['base_data_path']

    #Sets default x-range to one day
    xrng = [(dt.datetime.strptime(date,'%Y%m%d') -
         dt.timedelta(days=days)),
        (dt.datetime.strptime(date,'%Y%m%d') +
         dt.timedelta(days=1))]

    #If keyword day is > 0, then weekly plots are made
    if days > 0:
        sdate, edate = tuple(string_dates(xrng, format='full'))
        ds_object = read_arm_data_act(
            datastream, startdate=sdate, enddate=edate,
            basepath=data_path)
        plotname = 'SRG_weekly'
    else:
        plotname = 'SRG_daily'

    # ----------------------------------
    # Plot data
    # ----------------------------------

    #Make SRG Plots

    #Create figure and set size by multiplying figheight
    #by the number of figures to plot from subplot_shape
    figwidth = 10  # width of figure in pixels. 9 = 900 pixels
    figheight = 3  # height of figure in pixels. 3 = 300 pixels
    subplot_shape = (3, ) #Number of plots in figure

    #Use ACT time series display
    display = act.plotting.TimeSeriesDisplay(
        {datastream:ds_object}, subplot_shape=subplot_shape,
        figsize=(figwidth, subplot_shape[0]*figheight))
    display.fig.tight_layout()
    display.fig.subplots_adjust(left=0.1,right=0.85,bottom=0.08,
        top=0.95,hspace=0.3)

    var_names = ['battery_voltage_min','panel_temperature','siphon_rain_gauge_adc']
    subplot_titles = ['Minimum Battery Voltage','Panel Temperature',
        'Instantaneous Precipitation Amount of Siphon Gauge']
    subplot_indices = [0,1,2]

    for ii, var in enumerate(var_names):
        subplot_index = subplot_indices[ii]
        display.plot(var, subplot_index=(subplot_index, ), label=var)
        leg2 = display.axes[subplot_index].legend(loc='center left', bbox_to_anchor=(0.99, 0.5),prop={'size':8},
        frameon=False, markerscale=0, handlelength=0)
    for line, text in zip(leg2.get_lines(), leg2.get_texts()):
        text.set_color(line.get_color())
    display.axes[subplot_index].autoscale(tight=False,axis='y')
    display.axes[subplot_index].set_xlim(xrng)
    if days > 0:
        display.axes[subplot_index].set_title(datastream + ' ' + subplot_titles[subplot_index] + ' from ' + sdate + ' to ' + date)
    else:
        display.axes[subplot_index].set_title(datastream + ' ' + subplot_titles[subplot_index] + ' on ' + date)

    try:
        display.day_night_background(datastream, subplot_index=(subplot_index, ))
    except (AttributeError, ValueError, astral.AstralError):
        pass

    #Create and save plots as png files
    imagename = '.'.join([datastream,plotname,date,'png'])
    imagename = pathlib.Path(environ['DQPLOT_DATA'], site, site+platform,
        date, imagename)
    save_plot(display.fig, imagename=imagename, run_parameters=run_parameters)