# Build list of labels for the bars
myplot.xlabels = []
for r in results:
myplot.xlabels.append(r[0])
# Build a list of lists of y values
# and a list of the labels for each y value
myplot.ylists = []
myplot.ylistlabels = []
for i in range(1, len(column_names)):
yl = []
for r in results:
val = 100.0 * myplot.nonetozero(r[i])
yl.append(val)
myplot.ylists.append(yl)
myplot.ylistlabels.append(column_names[i])
# Misc labels and names
myplot.title = database.upper() + ' CPU Working Hours ' + day.capitalize(
) + 's'
myplot.ylabel1 = 'CPU % Utilization'
myplot.yticksuffix = '%'
myplot.filename = day.lower() + '.png'
# Run stacked bar graph
myplot.stacked_bar()
# Build list of labels for the bars
myplot.xlabels = []
for r in results:
myplot.xlabels.append(r[0])
# Build a list of lists of y values
# and a list of the labels for each y value
myplot.ylists = []
myplot.ylistlabels = []
for i in range(1,len(column_names)):
yl=[]
for r in results:
val = 100.0 * myplot.nonetozero(r[i])
yl.append(val)
myplot.ylists.append(yl)
myplot.ylistlabels.append(column_names[i])
# Misc labels and names
myplot.title = database.upper()+' CPU Working Hours '+day.capitalize()+'s'
myplot.ylabel1 = 'CPU % Utilization'
myplot.yticksuffix = '%'
myplot.filename = day.lower()+'.png'
# Run stacked bar graph
myplot.stacked_bar()