def test_stackedAreaChart(self):
"""Test Stacked Area Chart"""
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=400)
nb_element = 100
xdata = range(nb_element)
xdata = list(map(lambda x: 100 + x, xdata))
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = list(map(lambda x: x * 2, ydata))
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
def test_stackedAreaChart(self):
"""Test Stacked Area Chart"""
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=400)
nb_element = 100
xdata = list(range(nb_element))
xdata = [100 + x for x in xdata]
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
def test_stackedAreaChart(self):
"""Test Stacked Area Chart"""
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=400)
nb_element = 100
xdata = list(range(nb_element))
xdata = [100 + x for x in xdata]
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
def test_stackedAreaChart(self):
"""Test Stacked Area Chart"""
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=400)
nb_element = 100
xdata = range(nb_element)
xdata = map(lambda x: 100 + x, xdata)
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = map(lambda x: x * 2, ydata)
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
def compare_revisions(title1, title2, lang="en"):
"""
Presents the recent revisions of the two given Wikipedia pages as an
interactive NVD3 chart.
"""
chart = nvd3.stackedAreaChart(name='stackedAreaChart',height=450,width=800,use_interactive_guideline=True, x_is_date=True, date_format="%d %b %Y")
r1, r2 = get_two_revision_series(title1, title2, lang)
x = [int(time.mktime(idx.timetuple()) * 1000) for idx in r1.index]
y = [[int(count) for count in np.asarray(np.cumsum(r))] for r in [r1, r2]]
chart.add_serie(name=title1, y=y[0], x=x)
chart.add_serie(name=title2, y=y[1], x=x)
chart.buildhtml()
# Export the chart to a standalone HTML file in the special /cdn
# folder.
fname = "chart_%s_%s.html" % (title1, title2)
file("/cdn/%s" % fname, "w").write(chart.htmlcontent)
# Return an IPython HTML widget containing an IFrame tag. The iframe
# contains a relative reference (no path) to the HTML file we just
# created, which works because the file is in the special /cdn folder.
return IPython.display.HTML("<iframe src='%s' width=1000px height=550px>" % fname)
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S"}
# extra_serie = None
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 4", y=ydata4, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
# ---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(height=400, width=800, x_is_date=True,
x_axis_format="%d %b %Y %I", jquery_on_ready=True)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
xdata = list(range(nb_element))
xdata = [start_time + x * 1000000000 for x in xdata]
ydata = [i + random.randint(1, 10) for i in list(range(nb_element))]
ydata2 = [x * 2 for x in ydata]
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S %p"}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S"}
#extra_serie = None
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 4", y=ydata4, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=350, date=True,
x_axis_format="%d %b %Y %I", jquery_on_ready=True)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
xdata = list(range(nb_element))
xdata = [start_time + x * 1000000000 for x in xdata]
ydata = [i + random.randint(1, 10) for i in list(range(nb_element))]
ydata2 = [x * 2 for x in ydata]
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S %p"}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
ydata2 = map(lambda x: x * 2, ydata)
ydata3 = map(lambda x: x * 3, ydata)
ydata4 = map(lambda x: x * 4, ydata)
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.add_serie(y=ydata3, x=xdata)
chart.add_serie(y=ydata4, x=xdata)
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=350)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 100
xdata = range(nb_element)
xdata = map(lambda x: 100 + x, xdata)
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = map(lambda x: x * 2, ydata)
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "linePlusBarChart"
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Examples for Python-nvd3 is a Python wrapper for NVD3 graph library.
NVD3 is an attempt to build re-usable charts and chart components
for d3.js without taking away the power that d3.js gives you.
Project location : https://github.com/areski/python-nvd3
"""
from nvd3 import stackedAreaChart
# Open File for test
output_file = open('test_StackedAreaChart.html', 'w')
chart = stackedAreaChart(name='stackedAreaChart', height=400, width=400)
xdata = [100, 101, 102, 103, 104, 105, 106]
ydata = [6, 11, 12, 7, 11, 10, 11]
ydata2 = [8, 20, 16, 12, 20, 28, 28]
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " min"}}
chart.add_serie(name="Serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="Serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
ydata2 = map(lambda x: x * 2, ydata)
ydata3 = map(lambda x: x * 3, ydata)
ydata4 = map(lambda x: x * 4, ydata)
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.add_serie(y=ydata3, x=xdata)
chart.add_serie(y=ydata4, x=xdata)
chart.buildhtml()
output_file.write(chart.htmlcontent)
# ---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=350)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 100
xdata = range(nb_element)
xdata = map(lambda x: 100 + x, xdata)
ydata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata2 = map(lambda x: x * 2, ydata)
chart.add_serie(y=ydata, x=xdata)
chart.add_serie(y=ydata2, x=xdata)
chart.buildhtml()
output_file.write(chart.htmlcontent)
# ---------------------------------------
type = "linePlusBarChart"
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S"}
#extra_serie = None
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 4", y=ydata4, x=xdata, extra=extra_serie)
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(name=type, height=350, date=True, x_axis_date_format="%d %b %Y %I")
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
xdata = list(range(nb_element))
xdata = [start_time + x * 1000000000 for x in xdata]
ydata = [i + random.randint(1, 10) for i in list(range(nb_element))]
ydata2 = [x * 2 for x in ydata]
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " calls"},
"date_format": "%d %b %Y %I:%M:%S %p"}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.buildhtml()
output_file.write(chart.htmlcontent)
#extra_serie = None
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie)
chart.add_serie(name="serie 4", y=ydata4, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "stackedAreaChart"
chart = stackedAreaChart(name=type,
height=350,
date=True,
x_axis_format="%d %b %Y %I",
jquery_on_ready=True)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
xdata = list(range(nb_element))
xdata = [start_time + x * 1000000000 for x in xdata]
ydata = [i + random.randint(1, 10) for i in list(range(nb_element))]
ydata2 = [x * 2 for x in ydata]
extra_serie = {
"tooltip": {
"y_start": "There is ",
"y_end": " calls"
},
"date_format": "%d %b %Y %I:%M:%S %p"
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Examples for Python-nvd3 is a Python wrapper for NVD3 graph library.
NVD3 is an attempt to build re-usable charts and chart components
for d3.js without taking away the power that d3.js gives you.
Project location : https://github.com/areski/python-nvd3
"""
from nvd3 import stackedAreaChart
# Open File for test
output_file = open('test_StackedAreaChart.html', 'w')
chart = stackedAreaChart(name='stackedAreaChart', height=400, width=400)
xdata = [100, 101, 102, 103, 104, 105, 106]
ydata = [6, 11, 12, 7, 11, 10, 11]
ydata2 = [8, 20, 16, 12, 20, 28, 28]
extra_serie = {"tooltip": {"y_start": "There is ", "y_end": " min"}}
chart.add_serie(name="Serie 1", y=ydata, x=xdata, extra=extra_serie)
chart.add_serie(name="Serie 2", y=ydata2, x=xdata, extra=extra_serie)
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
