def guide_granularity_20(self):
G = Line('fohmnytenefohmnytene', encoding='simple')
G.size(200, 100)
G.axes.type('xy')
G.axes.label('April', 'May', 'June')
G.axes.label(None, '50+Kb')
return G
def guide_granularity_40(self):
G = Line('frothsmzndyoteepngenfrothsmzndyoteepngen', encoding='simple')
G.size(200, 100)
G.axes.type('xy')
G.axes.label('April', 'May', 'June')
G.axes.label(None, '50+Kb')
return G
def markers(self):
# Mark up some of the data randomly
G = Line(['helloWorld'])
G.marker('c', 'ff0000', 0, 3, 20)
G.marker('d', '00ff00', 0, 6, 15)
G.marker('a', '000099', 0, 4, 10)
G.marker('R', 'A0BAE9', 0, 8, 0.6)
G.marker('r', 'E5ECF9', 0, 1, 0.25)
return G
def guide_granularity_80(self):
G = Line(
'formostthisamazingdayfortheleapinggreenlformostthisamazingdayfortheleapinggreenl',
encoding='simple')
G.size(200, 100)
G.axes.type('xy')
G.axes.label('April', 'May', 'June')
G.axes.label(None, '50+Kb')
return G
def fill(self):
# Fill the chart/background using chf, add axes to show bg
G = Line(['pqokeYONOMEBAKPOQVTXZdecaZcglprqxuux393ztpoonkeggjp'])
G.color('ff0000')
G.line(4, 3, 0)
G.axes.type('xy')
G.axes.label(1, 2, 3, 4, 5)
G.axes.label(None, 50, 100)
G.fill('c', 'lg', 45, 'ffffff', 0, '76A4FB', 0.75)
G.fill('bg', 's', 'EFEFEF')
return G
def axes(self):
# Call type first with the chxt
# then call label and style in order,
# label can contain None(s)
G = Line(['foobarbaz'])
G.color('76A4FB')
G.axes.type('xyrx')
G.axes.label('Foo', 'Bar', 'Baz')
G.axes.label(None, '20K', '60K', '100K')
G.axes.label('A', 'B', 'C')
G.axes.label(None, '20', '40', '60', '80')
G.axes.style('0000dd', 14)
return G
def grid(self):
# Create dashed line with grid x,y as floats
# then, just like line, the line and blank segments
G = Line(['foobarbaz'])
G.color('76A4FB')
G.line(3, 6, 3)
G.grid(20.0, 25.0, 1, 0)
return G
def graph_img(x, y, name):
def y_precise():
result = ["chd=t:"]
for elem in y:
result.append(str(elem))
result.append(',')
result[-1] = '&'
return ''.join(result)
G = Line(y, encoding='text')
G.axes.type('xy')
min_y = min(y)
max_y = max(y)
G.axes.range(1, min_y, max_y)
G.scale(min_y, max_y)
G.axes.label(0, x[0], x[-1])
G.axes.label(1, min_y, max_y)
G.title(name)
image_code = G.img()
norm_img = re.sub(r'chd=t.*?\&', y_precise(), image_code)
if len(norm_img) > 2000:
if len(image_code) > 2000:
raise LongPeriodException()
else:
return image_code
return norm_img
def legend(self):
# Add legend to the data set which follows collors
G = Line(['FOETHECat', 'leafgreen', 'IRON4YOUs'])
G.color('ff0000', '00ff00', '0000ff')
G.legend('Animals', 'Vegetables', 'Minerals')
G.axes.type('y')
return G
def line(self):
# Add red line 6 thick
# with 5 line segments with 2 blank segments
G = Line(['hX1xPj'])
G.axes.type('xy')
G.axes.label('Mar', 'Apr', 'May', 'June', 'July')
G.axes.label(None, '50+Kb')
G.color('ff0000')
G.line(6, 5, 2)
return G
def markerfill(self):
# Fill the chart areas with markers
G = Line([
'99', 'cefhjkqwrlgYcfgc', 'QSSVXXdkfZUMRTUQ', 'HJJMOOUbVPKDHKLH',
'AA'
])
G.marker('b', '76A4FB', 0, 1, 0)
G.marker('b', '224499', 1, 2, 0)
G.marker('b', 'FF0000', 2, 3, 0)
G.marker('B', '80C65A', 3, 4, 0)
return G
def title(self):
# Title using name with optional color and size
G = Line(['GurMrabsClgubaolGvzCrgrefOrnhgvshyvforggregunahtyl'])
G.title('The Zen of Python', '00cc00', 36)
G.color('00cc00')
return G
def create_kml_file_for_level_stations(
data_path="data/cehq_levels",
kml_file_name="mon.kml",
title="Water levels in meters",
icon_color="ffffccee",
icon_link="http://dl.dropbox.com/u/4629759/blue-L.png",
data_url_format="",
plot_daily_normals=False,
plot_monthly_normals=False):
stations = cehq_station.read_station_data(folder=data_path)
width = 250
height = 100
kmlBody = ("")
for s in stations:
assert isinstance(s, cehq_station.Station)
print(s.id)
##Monthly normals
if plot_monthly_normals:
values_monthly = s.get_monthly_normals()
if values_monthly is None:
print(
"Skipping {0} since the data series is not continuous enough"
.format(s.id))
continue # skip stations with incomplete data
low = min(values_monthly)
up = max(values_monthly)
xy_monthly = Line((values_monthly - low) / (up - low) * 100.0)
xy_monthly.axes.type("xyx")
xy_monthly.size(width, height)
xy_monthly.axes.range(0, 1, 12)
xy_monthly.axes.range(1, low, up)
xy_monthly.axes.label(2, None, "Month")
#Daily normals
if plot_daily_normals:
times, values_daily = s.get_daily_normals()
if values_daily is None:
print(
"Skipping {0} since the data series is not continuous enough"
.format(s.id))
continue
low = min(values_daily)
up = max(values_daily)
xy_daily = Line((values_daily - low) / (up - low) * 100.0)
xy_daily.axes.type("xyx")
xy_daily.size(width, height)
xy_daily.axes.range(0, 1, 365)
xy_daily.axes.range(1, low, up)
xy_daily.axes.label(2, None, "Day")
kml = ("""
<Placemark>\n
<name>%s</name>\n
<Style>
<IconStyle>
<color>%s</color>
<Icon>
<href>%s</href>
</Icon>
</IconStyle>
</Style>
<description>\n
<![CDATA[\n
<p> <b> %s </b> </p>
<p> Flow acc. area is %.1f km<sup>2<sup> </p>
]]>\n
</description>\n
<Point>\n
<coordinates>%f, %f</coordinates>\n
</Point>\n
</Placemark>\n""") % (s.id, icon_color, icon_link, title,
s.drainage_km2, s.longitude, s.latitude)
kmlBody += kml
#"morceaux" du fichier KML
kmlHeader = ('<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n'
'<kml xmlns=\"http://earth.google.com/kml/2.2\">\n'
'<Document>\n')
kmlFooter = ('</Document>\n' '</kml>\n')
kmlFull = kmlHeader + kmlBody + kmlFooter
open(kml_file_name, 'wb').write(kmlFull)
def guide_line_lc(self):
G = Line('fooZaroo', encoding='simple')
G.size(200, 100)
return G
def graph(results):
output = []
sorted_keys = results.keys()
sorted_keys.sort()
for test in sorted_keys:
data = results[test]
datalist = [data[host[0]] for host in HOSTS]
plots = []
dates = []
max_points = max([len(d) for d in datalist])
for hostlist in datalist:
hostplots = []
hostdates = []
for hostitem in hostlist:
hostplots.append(hostitem[0])
hostdates.append(hostitem[1])
if len(hostplots) < max_points:
hostplots.extend([
hostlist[-1][0]
for i in xrange(max_points - len(hostplots))
])
plots.append(hostplots)
dates.append(hostdates)
first_day = dates[0][0]
last_day = dates[0][-1]
delta = last_day - first_day
diff = delta.days * 60 * 60 * 24 + delta.seconds
days = []
days.append(first_day.strftime("%a"))
days.append(
(first_day + timedelta(seconds=int(diff * 0.2))).strftime("%a"))
days.append(
(first_day + timedelta(seconds=int(diff * 0.4))).strftime("%a"))
days.append(
(first_day + timedelta(seconds=int(diff * 0.6))).strftime("%a"))
days.append(
(first_day + timedelta(seconds=int(diff * 0.8))).strftime("%a"))
days.append(last_day.strftime("%a"))
maximum = max([max(d) for d in plots])
minimum = min([min(d) for d in plots])
def scale(value, scale=4095):
return (value - minimum) * scale / abs(maximum - minimum)
scaled_plots = []
for hostplots in plots:
scaled_plots.append([scale(v) for v in hostplots])
g = Line(scaled_plots, encoding='extended')
g.legend(*[host[1] for host in HOSTS])
g.legend_pos('b')
g.color(
"edc240",
"afd8f8",
"cb4b4b",
"4da74d",
"f8afe8",
"4066ed",
)
for i in range(3):
g.line(2.5, 1, 0)
g.size(500, 300)
#g.scale(minimum, maximum)
g.axes.type('xy')
labels = range(minimum, maximum, (maximum - minimum) / 5)
g.axes.label(0, *days)
g.axes.label(1, *labels)
#g.show()
print test
print g
output.append("%s" % g)
def create_line(self):
self._chart = Line([])
def graph(results):
output = []
sorted_keys = results.keys()
sorted_keys.sort()
for test in sorted_keys:
data = results[test]
datalist = [data[host[0]] for host in HOSTS]
plots = []
dates = []
max_points = max([len(d) for d in datalist])
for hostlist in datalist:
hostplots = []
hostdates = []
for hostitem in hostlist:
hostplots.append(hostitem[0])
hostdates.append(hostitem[1])
if len(hostplots) < max_points:
hostplots.extend([hostlist[-1][0] for i in xrange(max_points-len(hostplots))])
plots.append(hostplots)
dates.append(hostdates)
first_day = dates[0][0]
last_day = dates[0][-1]
delta = last_day - first_day
diff = delta.days*60*60*24 + delta.seconds
days = []
days.append(first_day.strftime("%a"))
days.append((first_day+timedelta(seconds=int(diff*0.2))).strftime("%a"))
days.append((first_day+timedelta(seconds=int(diff*0.4))).strftime("%a"))
days.append((first_day+timedelta(seconds=int(diff*0.6))).strftime("%a"))
days.append((first_day+timedelta(seconds=int(diff*0.8))).strftime("%a"))
days.append(last_day.strftime("%a"))
maximum = max([max(d) for d in plots])
minimum = min([min(d) for d in plots])
def scale(value, scale=4095):
return (value - minimum) * scale / abs(maximum - minimum)
scaled_plots = []
for hostplots in plots:
scaled_plots.append([scale(v) for v in hostplots])
g = Line(scaled_plots, encoding='extended')
g.legend(*[host[1] for host in HOSTS])
g.legend_pos('b')
g.color("edc240", "afd8f8", "cb4b4b", "4da74d", "f8afe8", "4066ed", )
for i in range(3):
g.line(2.5, 1, 0)
g.size(500, 300)
#g.scale(minimum, maximum)
g.axes.type('xy')
labels = range(minimum, maximum, (maximum-minimum)/5)
g.axes.label(0, *days)
g.axes.label(1, *labels)
#g.show()
print test
print g
output.append("%s" % g)
def line_test():
G = Line([[0,10,20], [0,20,25]], encoding='text') #数据 simple模式和text模式
G.size(1000, 200) #整个图的大小
G.axes.type('xy') #XY两轴,可用xyz
G.axes.label(0, 30) #设置0(x)轴标签
#G.axes.label(1, '5', '10', '15', '20', '25', '30') #设置1(Y)轴标签
#G.axes.range(0, 0, 5, 1) #设置0(x)轴范围
G.axes.range(1, 0, 50) #设置1(Y)轴范围
G.scale(0, 50) #设置放大比率,最小最大
G.fill('bg', 's', 'e0e0e0') #背景色
G.color('black', 'blue') #两条线的颜色
G.margin(20, 20, 20, 30, 80, 20) #表在图中的位置
G.legend('Merge', 'BigTable') #两标签名字
G.show() #网页显示
def create_kml_file_for_level_stations(data_path = "data/cehq_levels",
kml_file_name = "mon.kml",
title = "Water levels in meters",
icon_color = "ffffccee",
icon_link = "http://dl.dropbox.com/u/4629759/blue-L.png",
data_url_format = "", plot_daily_normals = False, plot_monthly_normals = False
):
stations = cehq_station.read_station_data(folder=data_path)
width = 250
height = 100
kmlBody = ("")
for s in stations:
assert isinstance(s, cehq_station.Station)
print(s.id)
##Monthly normals
if plot_monthly_normals:
values_monthly = s.get_monthly_normals()
if values_monthly is None:
print("Skipping {0} since the data series is not continuous enough".format(s.id))
continue # skip stations with incomplete data
low = min(values_monthly)
up = max(values_monthly)
xy_monthly = Line((values_monthly - low) / (up - low) * 100.0)
xy_monthly.axes.type("xyx")
xy_monthly.size(width, height)
xy_monthly.axes.range(0, 1,12)
xy_monthly.axes.range(1, low, up)
xy_monthly.axes.label(2, None, "Month")
#Daily normals
if plot_daily_normals:
times, values_daily = s.get_daily_normals()
if values_daily is None:
print("Skipping {0} since the data series is not continuous enough".format(s.id))
continue
low = min(values_daily)
up = max(values_daily)
xy_daily = Line((values_daily - low) / (up - low) * 100.0)
xy_daily.axes.type("xyx")
xy_daily.size(width, height)
xy_daily.axes.range(0, 1,365)
xy_daily.axes.range(1, low, up)
xy_daily.axes.label(2, None, "Day")
kml = (
"""
<Placemark>\n
<name>%s</name>\n
<Style>
<IconStyle>
<color>%s</color>
<Icon>
<href>%s</href>
</Icon>
</IconStyle>
</Style>
<description>\n
<![CDATA[\n
<p> <b> %s </b> </p>
<p> Flow acc. area is %.1f km<sup>2<sup> </p>
]]>\n
</description>\n
<Point>\n
<coordinates>%f, %f</coordinates>\n
</Point>\n
</Placemark>\n"""
) % ( s.id, icon_color, icon_link, title, s.drainage_km2,
s.longitude, s.latitude)
kmlBody += kml
#"morceaux" du fichier KML
kmlHeader = ('<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n'
'<kml xmlns=\"http://earth.google.com/kml/2.2\">\n'
'<Document>\n')
kmlFooter = ('</Document>\n'
'</kml>\n')
kmlFull = kmlHeader + kmlBody + kmlFooter
open(kml_file_name,'wb').write(kmlFull)
def margins_test():
G = Line([[8,12,11,16,22],[7,8,10,12,19,23]], encoding='simple') #实际数据
G.size(1000, 200) #整个图大小
G.label(1,5,10,20,40,60,100,160,260,420,68,1100,1780) #下标量
G.fill('bg', 's', 'e0e0e0') #背景
G.color('black', 'blue') #线颜色
G.margin(20,20,20,30,80,20) #图位置
G.legend('Merge', 'BigTable') #线标签
print G
