def generate_chart(X, centroids, labels, n_cluster):
chart = scatterChart(name='scatterChart', height=800, width=1400)
centxlist = []
centylist = []
for i in range(n_cluster):
newxlist = []
newylist = []
centylist.append(newxlist)
centxlist.append(newylist)
for i in range(len(X)):
centxlist[labels[i]].append(X[i][0])
centylist[labels[i]].append(X[i][1])
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '5'}
for i in range(n_cluster):
chart.add_serie(name="Centroid_" + str(i),
y=centylist[i],
x=centxlist[i],
**kwargs1)
chart.add_serie(name="Centroids",
y=centroids[:, 1],
x=centroids[:, 0],
**kwargs2)
chart.buildhtml()
return chart.htmlcontent
def scatter_chart(xs, ys, labels):
chart = nvd3.scatterChart(name="", height=350, x_is_date=False)
extra_serie = {"tooltip": {"y_start": "", "y_end": "value"}}
for x, y, label in zip(xs, ys, labels):
chart.add_serie(name=label, y=y, x=x, extra=extra_serie)
chart.buildcontent()
# assuming name is hardcoded to ""
return js_extract(chart.htmlcontent).replace("# svg", "#results_graph")
def scatter_plot():
content = read_data('/var/www/html/assignment5/static/dataset_chart1.csv')
station, ydata = validate_data(content)
kwargs1 = {'shape': 'circle', 'size': '1','margin_top': 100}
chart = scatterChart(name='scatterChart', height=1800, width=1800, margin_bottom=200, margin_top=40, margin_left=60, margin_right=10)
xdata = list(range(1,13))
for it in range(0,len(station)-1):
chart.add_serie(y=ydata[it],x=xdata,name=station[it],**kwargs1)
chart.buildhtml()
return chart.htmlcontent
def calculateCorrelation(self,getTickerData):
output_file = open('calculateCorrelation.html', 'w')
type = "scatterChart"
chart = scatterChart(name=type, x_is_date=False, height=450, width=1300)
extra_serie = {"tooltip": {"y_start": "", "y_end": " call"}}
kwargs2 = {'shape': 'cross', 'size': '10'}
dfAAPL = getTickerData('AAPL')['Open']
dfGOOG = getTickerData('GOOG')['Open']
chart.add_serie(y=dfGOOG, x=dfAAPL, name='Correlation', extra=extra_serie, **kwargs2)
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
def get_html(selected_stock):
from nvd3 import lineWithFocusChart, scatterChart, lineChart
trade_objs = TradeModel.objects.all()
selected_trades = [
trade_obj.__dict__ for trade_obj in trade_objs
if trade_obj.tradingsymbol == selected_stock
]
# chart = lineWithFocusChart(name='lineWithFocusChart', x_is_date=True, x_axis_format="%d %b %Y", height=400, width=1000)
chart = scatterChart(name='scatterChart',
x_is_date=True,
x_axis_format="%d %b %Y",
height=400,
width=1000)
xdata = [1491004800000]
ydata = [None]
ydata1 = [None]
for trade in selected_trades:
xdata.append(int(trade['order_execution_time'].strftime('%s') + "000"))
if trade['trade_type'] == "buy":
ydata.append(trade['price'])
ydata1.append(None)
else:
ydata.append(None)
ydata1.append(trade['price'])
xdata.append(int(round(time.time() * 1000)))
ydata.append(None)
ydata1.append(None)
extra_serie = {
"tooltip": {
"y_start": "",
"y_end": " balls"
},
"date_format": "%d %b %Y"
}
kwargs = {'size': '50'}
chart.add_serie(name="BUY", y=ydata, x=xdata, extra=extra_serie, **kwargs)
chart.add_serie(name="SELL",
y=ydata1,
x=xdata,
extra=extra_serie,
**kwargs)
chart.buildhtml()
return chart.htmlcontent
def test_scatterChart(self):
"""Test Scatter Chart"""
type = "scatterChart"
chart = scatterChart(name=type, date=True, height=350)
nb_element = 100
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
chart.add_serie(y=ydata, x=xdata, **kwargs1)
chart.add_serie(y=ydata2, x=xdata, **kwargs2)
chart.add_serie(y=ydata3, x=xdata, **kwargs3)
chart.buildhtml()
def test_scatterChart(self):
"""Test Scatter Chart"""
type = "scatterChart"
chart = scatterChart(name=type, date=True, height=350)
nb_element = 100
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = list(map(lambda x: x * 2, ydata))
ydata3 = list(map(lambda x: x * 5, ydata))
kwargs1 = {'shape': 'circle'}
kwargs2 = {'shape': 'cross'}
kwargs3 = {'shape': 'triangle-up'}
chart.add_serie(y=ydata, x=xdata, **kwargs1)
chart.add_serie(y=ydata2, x=xdata, **kwargs2)
chart.add_serie(y=ydata3, x=xdata, **kwargs3)
chart.buildhtml()
def test_scatterChart(self):
"""Test Scatter Chart"""
type = "scatterChart"
chart = scatterChart(name=type, date=True, height=350)
nb_element = 100
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
chart.add_serie(y=ydata, x=xdata, **kwargs1)
chart.add_serie(y=ydata2, x=xdata, **kwargs2)
chart.add_serie(y=ydata3, x=xdata, **kwargs3)
chart.buildhtml()
def test_scatterChart(self):
"""Test Scatter Chart"""
type = "scatterChart"
chart = scatterChart(name=type, date=True, height=350)
nb_element = 100
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = map(lambda x: x * 2, ydata)
ydata3 = map(lambda x: x * 5, ydata)
kwargs1 = {'shape': 'circle'}
kwargs2 = {'shape': 'cross'}
kwargs3 = {'shape': 'triangle-up'}
chart.add_serie(y=ydata, x=xdata, **kwargs1)
chart.add_serie(y=ydata2, x=xdata, **kwargs2)
chart.add_serie(y=ydata3, x=xdata, **kwargs3)
chart.buildhtml()
def hello():
input_data = list(
csv.reader(open('dateCrimeOutput.txt', 'rb'), delimiter='\t'))
chart = scatterChart(name='scatterChart',
height=800,
width=1800,
margin_top=350)
crimes = []
for row in input_data:
crimes.append([row[0], row[1], int(row[2])])
crimes = sorted(crimes, key=lambda crimes: ([crimes[0], crimes[1]]))
xdata = []
current_crime = None
i = 0
for crime in crimes:
if str(crime[0]) == current_crime:
xdata.append(crime[1])
globals()['ydata%s' % i].append(crime[2])
else:
current_crime = crime[0]
i = i + 1
globals()['name%s' % i] = str(crime[0])
globals()['ydata%s' % i] = []
xdata.append(str(crime[1]))
globals()['ydata%s' % i].append(crime[2])
kwargs1 = {'shape': 'circle', 'size': '20'}
# kwargs2 = {'shape': 'cross', 'size': '4'}
i = 1
while True:
try:
chart.add_serie(name=globals()['name%s' % i],
y=globals()['ydata%s' % i],
x=xdata,
**kwargs1)
i = i + 1
except:
break
chart.buildhtml()
return chart.htmlcontent
def make_plot(xdata, ydata):
output_file = open('../templates/roary/scatterChart.html', 'w')
type = "scatterChart"
chart = scatterChart(name=type, height=350, width=550, x_is_date=False)
kwargs1 = {'shape': 'circle', 'size': '1'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="songs",
y=ydata,
x=xdata,
extra=extra_serie,
**kwargs1)
chart.buildhtml()
chart.htmlcontent = chart.htmlcontent.replace('./bower',
'./static/js/bower')
output_file.write(chart.htmlcontent)
output_file.close()
def calculateCorrelation(self, getTickerData):
output_file = open('calculateCorrelation.html', 'w')
type = "scatterChart"
chart = scatterChart(name=type,
x_is_date=False,
height=450,
width=1300)
extra_serie = {"tooltip": {"y_start": "", "y_end": " call"}}
kwargs2 = {'shape': 'cross', 'size': '10'}
dfAAPL = getTickerData('AAPL')['Open']
dfGOOG = getTickerData('GOOG')['Open']
chart.add_serie(y=dfGOOG,
x=dfAAPL,
name='Correlation',
extra=extra_serie,
**kwargs2)
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
def generate_chart(X,centroids,labels,n_cluster):
chart = scatterChart(name='scatterChart', height=800, width=1400)
centxlist = []
centylist = []
for i in range(n_cluster):
newxlist = []
newylist = []
centylist.append(newxlist)
centxlist.append(newylist)
for i in range(len(X)):
centxlist[labels[i]].append(X[i][0])
centylist[labels[i]].append(X[i][1])
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '5'}
for i in range(n_cluster):
chart.add_serie(name="Centroid_" + str(i), y=centylist[i], x=centxlist[i],**kwargs1)
chart.add_serie(name="Centroids", y=centroids[:,1],x=centroids[:,0],**kwargs2)
chart.buildhtml()
return chart.htmlcontent
from nvd3 import scatterChart
%load_ext rpy2.ipython
from rpy2.robjects import pandas2ri
pandas2ri.activate()
from rpy2.robjects import r
import pandas
df_cars = pandas2ri.ri2py(r['mtcars'])
wt = df_cars['wt']
mpg = df_cars['mpg']
kwargs = {'shape': 'circle', 'size': '1'}
chart = scatterChart(name='Weight vs MPG', height=400, width=800, y_axis_scale_min='0', show_legend='False')
chart.add_serie(name="Cars", x=wt, y=mpg, **kwargs)
output_file = open('nvd3-2.html', 'w')
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
ydata2 = map(lambda x: x * 2, ydata)
tooltip_date = "%d %b %Y %H:%M:%S %p"
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " calls"},
"date_format": tooltip_date}
chart.add_serie(name="Count", y=ydata, x=xdata, extra=extra_serie)
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " duration"},
"date_format": tooltip_date}
chart.add_serie(name="Duration", y=ydata2, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
# ---------------------------------------
type = "scatterChart"
chart = scatterChart(name=type, height=350, width=800, x_is_date=False)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 50
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie, **kwargs1)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie, **kwargs2)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie, **kwargs3)
ydata2 = map(lambda x: x * 2, ydata)
tooltip_date = "%d %b %Y %H:%M:%S %p"
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " calls"},
"date_format": tooltip_date}
chart.add_serie(name="Count", y=ydata, x=xdata, extra=extra_serie)
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " duration"},
"date_format": tooltip_date}
chart.add_serie(name="Duration", y=ydata2, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "scatterChart"
chart = scatterChart(name=type, height=350, date=False, jquery_on_ready=True)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 50
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie, **kwargs1)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie, **kwargs2)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie, **kwargs3)
def grade_vs_nchapters(self, **kwargs):
"""
Scatter plot of final grade versus nchapters accessed. All points are
jittered for clarity. Text labels are added to indicate subpopulations.
Parameters
----------
NVD3 = False. If true, nvd3 interactive figure output.
Output
------
Figures and respective formats.
Returns
-------
None
"""
NVD3 = kwargs.get('NVD3', False)
if 'nchapters' not in self.person or 'grade' not in self.person or 'certified' not in self.person:
print "One of the three columns necessary for this plot is missing. Check person_course for: 'nchapters','grade', and 'certified'."
return None
### Data
data = self.person[['nchapters', 'grade', 'certified']].copy()
chap_jmax = 0.75
grade_jmax = 0.005
data.nchapters = data.nchapters.apply(lambda x: x + chap_jmax *
(np.random.sample() - 0.5))
data.grade = data.grade.apply(lambda x: x + grade_jmax *
(np.random.sample()))
data = data.dropna()
certcut = self.person[self.person['certified'] == 1].grade.min()
### Plot
fig = plt.figure(figsize=(12, 10))
ax1 = fig.add_subplot(1, 1, 1)
#Non-Certs
data[data.certified == 0].plot('nchapters',
'grade',
style='.',
color=xff.colors['neutral'],
label=self.nickname,
ax=ax1)
#Certified
data[data.certified == 1].plot('nchapters',
'grade',
style='.',
color=xff.colors['institute'],
ax=ax1)
### Illustrations (labels)
ncmax = self.person[self.person.certified == 1].nchapters.order(
)[-20::].min() ### Funny, but this cuts off staff
ax1.hlines(certcut, 0, ncmax + 1, lw=2)
ax1.vlines(int(ncmax / 2), 0, certcut, lw=2)
ax1.text(ncmax / 6,
certcut - 0.05,
'$Viewed$',
fontsize=30,
alpha=0.75)
ax1.text(ncmax / 2 + (ncmax / 4),
certcut - 0.05,
'$Explored$',
fontsize=30,
alpha=0.75)
ax1.text(
ncmax / 2,
0.8,
'$Certified$',
fontsize=30,
alpha=0.75,
horizontalalignment='center',
)
### Plot Details
ax1.set_xticklabels([r'$%0.f$' % x for x in ax1.get_xticks()])
ax1.set_yticklabels([r'$%0.1f$' % x for x in ax1.get_yticks()],
fontsize=30)
#ax1.legend(loc=4,prop={'size':28},frameon=False)
ax1.set_xlim(0, ncmax + 1)
ax1.set_ylim(0, 1.01)
### Generalized Plotting functions
figsavename = self.figpath + 'scatter_grade_vs_nchapters_' + self.nickname.replace(
'.', '_')
xff.texify(fig,
ax1,
xlabel='Chapters Viewed',
ylabel='Grade',
gridb='y',
figsavename=figsavename + '.png')
#----------------------------------------------------------------
### NVD3 Interactive http://nvd3.org/
if NVD3:
data = data[(data.nchapters > 0) & (data.grade > 0)].dropna()
randrows = np.random.choice(data.index.values, 2000)
data = data.ix[randrows, :]
X1 = data[data.certified == 0].nchapters.values
Y1 = data[data.certified == 0].grade.values
X2 = data[data.certified == 1].nchapters.values
Y2 = data[data.certified == 1].grade.values
#print X1,Y1
### FIGURE
from nvd3 import scatterChart
### Output File
figsavename = self.figpath + 'interactive_scatter_grade_nchap_' + self.nickname + '.html'
output_file = open(figsavename, 'w')
print figsavename
title = "Scatter Plot Grade vs Chapters Viewed: %s" % self._xdata.course_id
chart = scatterChart(name=title,
width=850,
height=550,
x_is_date=False,
x_axis_format=".1f",
y_axis_format=".1f")
chart.set_containerheader("\n\n<h2>" + title + "</h2>\n\n")
nb_element = len(X1)
kwargs1 = {'shape': 'circle', 'size': '3'}
kwargs2 = {'shape': 'circle', 'size': '3'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="Participants",
y=Y1,
x=X1,
extra=extra_serie,
**kwargs1)
chart.add_serie(name="Certified",
y=Y2,
x=X2,
extra=extra_serie,
**kwargs2)
### Final Output
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
#close Html file
output_file.close()
return None
from nvd3 import scatterChart
xs = [1, 2, 3, 4, 5]
ys = [2, 3, 5, 7, 11]
kwargs = {'shape': 'circle', 'size': '1'}
chart = scatterChart(name='The first few primes', height=400, width=400)
chart.add_serie(name="Primes", x=xs, y=ys, **kwargs)
output_file = open('nvd3-1.html', 'w')
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
for i in range(0, 101):
xdata.append(i)
x = i * 0.1
ydata.append(math.sin(math.pi * x))
ydata2.append(0.5 * math.cos(math.pi * x))
chart.add_serie(y=ydata, x=xdata, name="sine")
chart.add_serie(y=ydata2, x=xdata, name="cose")
chart.buildhtml()
output_file.write(chart.htmlcontent)
# ---------------------------------------
type = "scatterChart"
chart = scatterChart(name=type, height=350, date=False)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 50
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = map(lambda x: x * 2, ydata)
ydata3 = map(lambda x: x * 5, ydata)
kwargs1 = {"shape": "circle"}
kwargs2 = {"shape": "cross"}
kwargs3 = {"shape": "triangle-up"}
# kwargs['size'] = True
chart.add_serie(y=ydata, x=xdata, **kwargs1)
chart.add_serie(y=ydata2, x=xdata, **kwargs2)
chart.add_serie(y=ydata3, x=xdata, **kwargs3)
def grade_vs_nchapters(self,**kwargs):
"""
Scatter plot of final grade versus nchapters accessed. All points are
jittered for clarity. Text labels are added to indicate subpopulations.
Parameters
----------
NVD3 = False. If true, nvd3 interactive figure output.
Output
------
Figures and respective formats.
Returns
-------
None
"""
NVD3 = kwargs.get('NVD3',False)
if 'nchapters' not in self.person or 'grade' not in self.person or 'certified' not in self.person:
print "One of the three columns necessary for this plot is missing. Check person_course for: 'nchapters','grade', and 'certified'."
return None
### Data
data = self.person[['nchapters','grade','certified']].copy()
chap_jmax = 0.75
grade_jmax = 0.005
data.nchapters = data.nchapters.apply(lambda x: x + chap_jmax*(np.random.sample()-0.5))
data.grade = data.grade.apply(lambda x: x + grade_jmax*(np.random.sample()))
data = data.dropna()
certcut = self.person[self.person['certified']==1].grade.min()
### Plot
fig = plt.figure(figsize=(12,10))
ax1 = fig.add_subplot(1,1,1)
#Non-Certs
data[data.certified==0].plot('nchapters','grade',style='.',color=xff.colors['neutral'],label=self.nickname,ax=ax1)
#Certified
data[data.certified==1].plot('nchapters','grade',style='.',color=xff.colors['institute'],ax=ax1)
### Illustrations (labels)
ncmax = self.person[self.person.certified==1].nchapters.order()[-20::].min() ### Funny, but this cuts off staff
ax1.hlines(certcut,0,ncmax+1,lw=2)
ax1.vlines(int(ncmax/2),0,certcut,lw=2)
ax1.text(ncmax/6,certcut-0.05,'$Viewed$',fontsize=30,alpha=0.75)
ax1.text(ncmax/2+(ncmax/4),certcut-0.05,'$Explored$',fontsize=30,alpha=0.75)
ax1.text(ncmax/2,0.8,'$Certified$',fontsize=30,alpha=0.75,horizontalalignment='center',)
### Plot Details
ax1.set_xticklabels([r'$%0.f$' % x for x in ax1.get_xticks()])
ax1.set_yticklabels([r'$%0.1f$' % x for x in ax1.get_yticks()],fontsize=30)
#ax1.legend(loc=4,prop={'size':28},frameon=False)
ax1.set_xlim(0,ncmax+1)
ax1.set_ylim(0,1.01)
### Generalized Plotting functions
figsavename = self.figpath+'scatter_grade_vs_nchapters_'+self.nickname.replace('.','_')
xff.texify(fig,ax1,
xlabel='Chapters Viewed',
ylabel='Grade',
gridb='y',
figsavename=figsavename+'.png')
#----------------------------------------------------------------
### NVD3 Interactive http://nvd3.org/
if NVD3:
data = data[(data.nchapters>0) & (data.grade>0)].dropna()
randrows = np.random.choice(data.index.values,2000)
data = data.ix[randrows,:]
X1 = data[data.certified==0].nchapters.values
Y1 = data[data.certified==0].grade.values
X2 = data[data.certified==1].nchapters.values
Y2 = data[data.certified==1].grade.values
#print X1,Y1
### FIGURE
from nvd3 import scatterChart
### Output File
figsavename = self.figpath+'interactive_scatter_grade_nchap_'+self.nickname+'.html'
output_file = open(figsavename, 'w')
print figsavename
title = "Scatter Plot Grade vs Chapters Viewed: %s" % self._xdata.course_id
chart = scatterChart(name=title, width=850, height=550, x_is_date=False, x_axis_format=".1f", y_axis_format=".1f")
chart.set_containerheader("\n\n<h2>" + title + "</h2>\n\n")
nb_element = len(X1)
kwargs1 = {'shape': 'circle', 'size': '3'}
kwargs2 = {'shape': 'circle', 'size': '3'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="Participants", y=Y1, x=X1, extra=extra_serie, **kwargs1)
chart.add_serie(name="Certified", y=Y2, x=X2, extra=extra_serie, **kwargs2)
### Final Output
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
#close Html file
output_file.close()
return None
ydata2 = map(lambda x: x * 2, ydata)
tooltip_date = "%d %b %Y %H:%M:%S %p"
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " calls"},
"date_format": tooltip_date}
chart.add_serie(name="Count", y=ydata, x=xdata, extra=extra_serie)
extra_serie = {"tooltip": {"y_start": "There are ", "y_end": " duration"},
"date_format": tooltip_date}
chart.add_serie(name="Duration", y=ydata2, x=xdata, extra=extra_serie)
chart.buildhtml()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "scatterChart"
chart = scatterChart(name=type, height=350, date=False)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 50
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie, **kwargs1)
chart.add_serie(name="serie 2", y=ydata2, x=xdata, extra=extra_serie, **kwargs2)
chart.add_serie(name="serie 3", y=ydata3, x=xdata, extra=extra_serie, **kwargs3)
else:
try:
hor = float(line[field1])
dep = float(line[field2])
X.append([hor, dep])
except:
pass
X = np.asarray(X)
#X = X[:400]
kmeans = KMeans(n_clusters=num_clusters)
kmeans.fit(X)
centroids = kmeans.cluster_centers_
labels = kmeans.labels_
chart = scatterChart(name='scatterChart',margin_top=70, margin_bottom=200, height=800, width=1800)
for j in range(0, num_clusters):
globals()['centx%s' % j] = []
globals()['centy%s' % j] = []
for i in range(len(labels)):
for j in range(0,num_clusters):
if labels[i:i+1] == j:
globals()['centx%s' % j].append(X[i][0])
globals()['centy%s' % j].append(X[i][1])
kwargs1 = {'shape': 'cross', 'size': '20', 'color': 'black'}
for c in range(0, num_clusters):
groupName = str('Cluster%s' % str(c+1))
chart.add_serie(name=groupName, y=globals()['centy%s' % c], x=globals()['centx%s' % c])
chart.add_serie(name="Centroids", y=centroids[:, 1], x=centroids[:, 0], **kwargs1)
chart.add_serie(name="Count", y=ydata, x=xdata, extra=extra_serie)
extra_serie = {
"tooltip": {
"y_start": "There are ",
"y_end": " duration"
},
"date_format": tooltip_date
}
chart.add_serie(name="Duration", y=ydata2, x=xdata, extra=extra_serie)
chart.buildcontent()
output_file.write(chart.htmlcontent)
#---------------------------------------
type = "scatterChart"
chart = scatterChart(height=350, date=False, jquery_on_ready=True)
chart.set_containerheader("\n\n<h2>" + type + "</h2>\n\n")
nb_element = 50
xdata = [i + random.randint(1, 10) for i in range(nb_element)]
ydata = [i * random.randint(1, 10) for i in range(nb_element)]
ydata2 = [x * 2 for x in ydata]
ydata3 = [x * 5 for x in ydata]
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '100'}
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="serie 1", y=ydata, x=xdata, extra=extra_serie, **kwargs1)
chart.add_serie(name="serie 2",
y=ydata2,