def _get_sparklines(width, height, data, background_color=None):
chart = SparkLineChart(width, height)
chart.add_data(data)
if background_color:
chart.fill_solid(chart.BACKGROUND, background_color)
chart.set_colours(['777777'])
fileurl = _get_sparklines_save_filepath('sparklines.png')
chart.download(fileurl)
return fileurl.replace(settings.MEDIA_ROOT, '')
def plot1():
chart = Chart(400, 300)
l = []
for i in range(50):
p_th = float(i)/10
r = if_b_is_a (p_th)
l.append (r)
print l
chart.add_data (l)
chart.download('p1.png')
def sparklines():
chart = SparkLineChart(settings.width, settings.height)
chart.add_data(helper.random_data())
chart.download('line-sparkline.png')
def sparklines():
chart = SparkLineChart(settings.width, settings.height)
chart.add_data(helper.random_data())
chart.download('line-sparkline.png')
legend_array.append(legend)
data_array.append(int(data.strip()))
for line in comparefile:
(legend, data) = line.split(' ')
data_compared_array.append(int(data.strip()))
chart.add_data(data_array)
chart.add_data(data_compared_array)
chart.add_data([0]*2)
chart.set_colours(['000000'])
chart.add_fill_range('224499', 0, 1)
chart.add_fill_range('339966', 1, 2)
#chart.add_fill_range('76A4FB', 1, 2)
legend_array_stripped = [legend_array[0],
legend_array[len(legend_array)/2],
legend_array[-1]]
chart.set_axis_labels('x', legend_array_stripped)
chart.set_axis_labels('y', ['0', '150', '300', '450', '600', '750'])
name = os.path.basename(datacompletefile)
chart.set_title(name.split('.')[0].upper() + " - developers in 2010: % commits along project history")
print chart.get_url()
chart.download('images/commits_by_month_compared_2010_'+str(name.split('.')[0])+'.png')
def sparklines():
chart = SparkLineChart(width, height)
chart.add_data(random_data())
chart.download('line-sparkline.png')
from pygooglechart import SparkLineChart
from pygooglechart import Axis
fr = CSVReader("C:\utils\RealTemp\RealTempLog.csv")
fr.read(8)
timestamps = []
values = []
# Log interval is 60s
interval = 60*24
# Get every fifth sample
# TODO: Rather get an average of group of five entries?
valueList = fr.readings[-interval::5]
for r in valueList:
timestamps.append(str(r.timestamp))
values.append(r.value)
chart = SparkLineChart(600, 300, y_range=[20, 80])
chart.add_data(values)
chart.set_axis_range(Axis.BOTTOM, -24, 0)
left_axis = list(range(0, 100 + 1, 25))
left_axis[0] = ''
chart.set_axis_labels(Axis.LEFT, left_axis)
chart.download('../output/output.png')
