On Thu, Aug 26, 2010 at 8:23 AM, Tinne De Laet
<tinne.del...@mech.kuleuven.be> wrote:
> On Thu, Aug 26, 2010 at 05:47, dcarroll <spanishcastlema...@gmail.com> wrote:
>>
>> 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!
>
>
>
> You can select yourself what you want to include in the legend by
> creating the legend as follows:
You can also leave out the label, or in a loop like this,
conditionally assign a label of '_nolegend_', which suppresses adding
it to the legend. This example shows how the different options work:
import numpy as np
import matplotlib.pyplot as plt
x1,y1 = np.random.rand(2,10)
x2,y2 = np.random.rand(2,10)
x3,y3 = np.random.rand(2,10)
x4,y4 = np.random.rand(2,10)
plt.plot(x1, y1, label='first')
plt.plot(x2, y2) # No label, so not included
plt.plot(x3, y3, label='_nolegend_') # Actively suppress
plt.plot(x4, y4, label='fourth')
plt.legend() # Only shows lines 'first' and 'fourth'
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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