I am trying make a plot that is in a loop and replots when new data is
updated.

#IN A LOOP

    fig = plt.figure(1,[10,10])
    fig.clf
    
    prop = matplotlib.font_manager.FontProperties(size=8)

    xMin = dates[1]
    xMax = dates[-1]

    #temperature plot   
    yMin = min(temperatureSQLData)
    yMax = max(temperatureSQLData)
    
    minTemperature = "Min = %.3f " % min(temperatureSQLData) + 'deg ' + 'C'  
    minTemperatureIndex = temperatureSQLData.index(yMin)

    maxTemperature = "Max = %.3f " % max(temperatureSQLData) + 'deg ' + 'C'
    maxTemperatureIndex = temperatureSQLData.index(yMax)

    ax1 = fig.add_subplot(511)
    ax1.cla

    plt.hold(True)
    plt.plot(dates,temperatureSQLData,'r')
    plt.plot(dates[minTemperatureIndex],yMin,'ro',label=minTemperature)
    plt.plot(dates[maxTemperatureIndex],yMax,'bo',label=maxTemperature)
    plt.hold(False)
    
    plt.title("Water Conditions for the last 7 Days.")

    plt.xlim([xMin,xMax])
    plt.ylim([yMin-1,yMax+1])
    plt.ylabel('Temperature')
    ax1.legend(numpoints=1,prop=prop)

    dateFormat = mpl.dates.DateFormatter('%m/%d/%Y')
    ax1.xaxis.set_major_formatter(dateFormat)
    daysLocation = mpl.dates.DayLocator()
    ax1.xaxis.set_major_locator(daysLocation)
    hoursLocation = mpl.dates.HourLocator(interval=4)
    ax1.xaxis.set_minor_locator(hoursLocation)

The problem is that the number of items in my legend grows with each
iteration of the loop. Any help would be appreciated!
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