def _GetRescaledData(self, data, data_max):
# Use the extended encoding if we don't have too many data points
if data_max:
rescaled_max = (len(data) > 1500 and \
SimpleData.max_value() or ExtendedData.max_value())
scaling_factor = float(rescaled_max) / float(data_max)
else:
scaling_factor = 0
scaled_data = []
for point in data:
scaled_data.append(int(float(point) * scaling_factor))
return scaled_data
def _GetRescaledData(self, data, data_max):
# Use the extended encoding if we don't have too many data points
if data_max:
rescaled_max = (len(data) > 1500 and \
SimpleData.max_value() or ExtendedData.max_value())
scaling_factor = float(rescaled_max) / float(data_max)
else:
scaling_factor = 0
scaled_data = []
for point in data:
scaled_data.append(int(float(point) * scaling_factor))
return scaled_data
def GetHtml(self):
if self.IsEmpty(): return ""
# Determine top 10 addresses
top_addresses = \
[(count, address) for (address, count) in self.__all_addresses.items()]
top_addresses.sort(reverse=True)
top_addresses = [address for (count, address) in top_addresses]
if len(top_addresses) > 10:
top_addresses = top_addresses[0:10]
top_addresses.reverse()
# Collect lines for each address
bucket_lines = {}
for bucket in self.__buckets:
sum = 0
for address in top_addresses:
sum += bucket.get(address, 0)
sum = float(sum)
fraction_sum = 0
for address in top_addresses:
if sum == 0:
fraction = 0
else:
fraction = bucket.get(address, 0) / sum
fraction_sum += fraction
# Make sure everything adds up to 1.0
if address == top_addresses[-1]:
fraction_sum = 1.0
if address not in bucket_lines:
bucket_lines[address] = []
bucket_lines[address].append(
round(fraction_sum * ExtendedData.max_value()))
# Smooth lines
for address, points in bucket_lines.items():
smoothed = []
window = []
window_sum = 0
for i in xrange(0, len(points)):
if i < self.__min_bucket or i > self.__max_bucket:
smoothed.append(0)
else:
point = points[i]
if len(window) == Distribution._BUCKET_SIZE:
window_sum -= window.pop(0)
window.append(point)
window_sum += point
smoothed.append(round(window_sum / len(window)))
bucket_lines[address] = smoothed
# Generate chart
chart = SimpleLineChart(450, 250)
data_index = 0
colors = []
legend = []
top_addresses.reverse()
for address in top_addresses:
data = bucket_lines[address]
chart.add_data(data)
color = _FILL_COLORS[data_index % len(_FILL_COLORS)]
chart.add_fill_range(color, data_index, data_index + 1)
data_index += 1
colors.append(color)
legend.append((color, self.__address_names[address], address))
# Another set of points to make sure we will to the bottom
chart.add_data([0, 0])
chart.set_colours(colors)
chart.set_axis_labels(Axis.BOTTOM, MONTH_NAMES)
t = Template(
file="templates/distribution.tmpl",
searchList={
"id": self.id,
"chart": chart,
# We don't use the legend feature of the chart API since that would
# make the URL longer than its limits
"legend": legend,
"class": self.__css_class,
})
return unicode(t)
def GetHtml(self):
if self.IsEmpty(): return ""
# Determine top 10 addresses
top_addresses = \
[(count, address) for (address, count) in self.__all_addresses.items()]
top_addresses.sort(reverse=True)
top_addresses = [address for (count, address) in top_addresses]
if len(top_addresses) > 10:
top_addresses = top_addresses[0:10]
top_addresses.reverse()
# Collect lines for each address
bucket_lines = {}
for bucket in self.__buckets:
sum = 0
for address in top_addresses:
sum += bucket.get(address, 0)
sum = float(sum)
fraction_sum = 0
for address in top_addresses:
if sum == 0:
fraction = 0
else:
fraction = bucket.get(address, 0)/sum
fraction_sum += fraction
# Make sure everything adds up to 1.0
if address == top_addresses[-1]:
fraction_sum = 1.0
if address not in bucket_lines:
bucket_lines[address] = []
bucket_lines[address].append(round(
fraction_sum * ExtendedData.max_value()))
# Smooth lines
for address, points in bucket_lines.items():
smoothed = []
window = []
window_sum = 0
for i in xrange(0, len(points)):
if i < self.__min_bucket or i > self.__max_bucket:
smoothed.append(0)
else:
point = points[i]
if len(window) == Distribution._BUCKET_SIZE:
window_sum -= window.pop(0)
window.append(point)
window_sum += point
smoothed.append(round(window_sum/len(window)))
bucket_lines[address] = smoothed
# Generate chart
chart = SimpleLineChart(450, 250)
data_index = 0
colors = []
legend = []
top_addresses.reverse()
for address in top_addresses:
data = bucket_lines[address]
chart.add_data(data)
color = _FILL_COLORS[data_index % len(_FILL_COLORS)]
chart.add_fill_range(
color,
data_index,
data_index + 1)
data_index += 1
colors.append(color)
legend.append((color, self.__address_names[address], address))
# Another set of points to make sure we will to the bottom
chart.add_data([0, 0])
chart.set_colours(colors)
chart.set_axis_labels(Axis.BOTTOM, MONTH_NAMES)
t = Template(
file="templates/distribution.tmpl",
searchList = {
"id": self.id,
"chart": chart,
# We don't use the legend feature of the chart API since that would
# make the URL longer than its limits
"legend": legend,
"class": self.__css_class,
})
return unicode(t)
