#!/usr/bin/env python
# coding: utf-8

# In[1]:


from beakerx import *
Plot(title="test title",
     xLabel="x label",
     yLabel="y label")


# In[2]:


plot1 = Plot()
plot1.add(Bars(displayName="Bar", 
       x=[20,40,60], 
       y=[100, 120, 90], 
       width=10))


# In[3]:


plot2 = Plot()
plot2.add(Line(x=[1, 5, 3], y=[1, 2, 6]))


# In[4]:


plot3 = Plot()
plot3.add(Points(y=[1, 3, 6, 3, 1], 
              x=[1, 2, 3, 4, 5], 
              size=10, 
              shape=ShapeType.DIAMOND))


# In[5]:


plot4 = Plot();
plot4.add(Stems(y= [1.5, 1, 6, 5]))


# In[6]:


plot5 = Plot(crosshair = Crosshair())
plot5.add(Area(x = [0, 1, 2, 3], y = [3, 5, 2, 3]))


# In[7]:


Plot().add(ConstantLine(y=0.1)).add(ConstantLine(x=0.3, y=0.4, color=Color.gray, showLabel=True))


# In[8]:


Plot().add(Line(y=[-3, 1, 3, 4, 5])).add(ConstantBand(x=[1, 2], y=[1, 3]))


# In[9]:


from beakerx.plot import Text as BeakerxText
plot = Plot()
xs = [1, 2, 3, 4]
ys = [8.6, 6.1, 7.4, 2.5]

for i in range(0, 4):
    plot.add(BeakerxText(x= xs[i], y= ys[i], text= 'test'))

plot.add(Line(x= xs, y= ys))


# In[10]:


import pandas as pd

tableRows = pd.read_csv('../../../doc/resources/data/interest-rates.csv')
pp1 = Plot()
pp1.add(Bars(y=tableRows.y1))


# In[11]:


pp2 = Plot()
pp2.add(Line(
        x=pd.Series([10, 20, 30, 40, 50, 60, 70]), 
        y=pd.Series([0, 60, 10, 50, 20, 40, 30]), 
        width=5))


# In[12]:


y1 = [1,5,3,2,3]
y2 = [1,2,4,1,3]
p = Plot()
a1 = Area(y=y1, displayName='y1')
a2 = Area(y=y2, displayName='y2')
stacker = XYStacker()
p.add(stacker.stack([a1, a2]))


# In[13]:


SimpleTimePlot(tableRows, ["y1", "y10"], # column names
               timeColumn="time", # time is default value for a timeColumn
               displayNames=["1 Year", "10 Year"])


# In[14]:


import time

millis = 1507541201624;
hour = round(1000 * 60 * 60);
xs = [];
ys = [];
for i in range(11):
    xs.append(millis + hour * i);
    ys.append(i);

plot = TimePlot(timeZone="America/New_York")
# list of milliseconds
plot.add(Points(x=xs, y=ys))


# In[15]:


millis = millis = 1507541201624;
nanos  = millis * 1000 * 1000
xs = []
ys = []
for i in range(11):
    xs.append(nanos + 7 * i)
    ys.append(i);

np = NanoPlot()
np.add(Points(x=xs, y=ys))


# In[16]:


sp = Plot()
sp.add(YAxis(label= "Test y axis"))
sp.add(Line(
        x=pd.Series([10, 20, 30, 40, 50, 60, 70]), 
        y=pd.Series([0, 60, 10, 50, 20, 40, 30])))
sp.add(Line(
        x=pd.Series([5, 15, 25, 35, 45, 55, 65]), 
        y=pd.Series([5, 65, 15, 55, 25, 45, 35]), yAxis= "Test y axis"))


# In[17]:


import math
points = 100;
xs = [];
for i in range(0, points):
  xs.append(i)

cplot = CombinedPlot(xLabel= "CombinedPlot");

linearPlot = Plot(title= "Linear x, Linear y");
linearPlot.add(Line(x= xs, y= xs));
cplot.add(linearPlot, 3);

logYPlot = Plot(logY= True, logX=False, title= "Linear x, Log y");
logYPlot.add(Line(x= xs, y= xs));
cplot.add(logYPlot, 3);

logYPlot = Plot(logY= False, logX=True, title= "Log x, Linear y");
logYPlot.add(Line(x= xs, y= xs));
cplot.add(logYPlot, 3);

cplot


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