
%pylab inline
#%load_ext RWinOut

Populating the interactive namespace from numpy and matplotlib


from ipywidgets import widgets


from IPython.display import display


text = widgets.Text()
display(text)

def print_input(x):
    print(x.value)

text.on_submit(print_input)

Hello
Hello again!!


button = widgets.Button(description='Click here')
display(button)
j = 100

def show_click(x):
    global j
    j = j + 1
    print("Clicked",j)
    
button.on_click(show_click)

Clicked 101
Clicked 102
Clicked 103


from ipywidgets import interact, interactive, fixed, interact_manual
def f(x):
    return x
    
interact(f,x=100)
print("thanks")

thanks


interact(f,x=True)

<function __main__.f(x)>


interact(f,x='text')

<function __main__.f(x)>


def f2(x):
    print("Final = ",x**2)
interact(f2,x=10)

<function __main__.f2(x)>


def f3(x):
    print("Final = %.2f" % x**2)
interact(f3,x=(2,5,0.1))

<function __main__.f3(x)>


def pltsin(x,y):
    t = arange(x)
    plot(sin(t*y))
    
interact(pltsin,x=(2,50),y=(1,20))

<function __main__.pltsin(x, y)>


from scipy.stats import norm
from ipywidgets import interact, interactive, fixed, interact_manual, IntSlider, Output
def BS(s,k,t,v,rf):
    d1 = (log(s/k)+(rf+0.5*v**2)*t)/(v*sqrt(t))
    d2 = d1 - v*sqrt(t)
    xc = s*norm.cdf(d1) - k*exp(-rf*t)*norm.cdf(d2)
    xp = -s*norm.cdf(-d1) + k*exp(-rf*t)*norm.cdf(-d2)
    print('Call =',xc,' | Put =',xp)
    
interact(BS, s=(10.0,50.0,0.01), k=(10.0,50.0,0.01), t=(0.0,10.0,0.01), v=(0.01,0.50,0.01), rf=(0.0,0.10,0.01))
print("----")

----


%load_ext rpy2.ipython


%%R
library(quantmod)
getSymbols("GOOG")
GOOG = as.data.frame(GOOG)
print(class(GOOG))
print(head(GOOG))

/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Loading required package: xts

  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Loading required package: zoo

  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: 
Attaching package: ‘zoo’


  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: The following objects are masked from ‘package:base’:

    as.Date, as.Date.numeric


  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Loading required package: TTR

  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Version 0.4-0 included new data defaults. See ?getSymbols.
Learn from a quantmod author: https://www.datacamp.com/courses/importing-and-managing-financial-data-in-r

  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: ‘getSymbols’ currently uses auto.assign=TRUE by default, but will
use auto.assign=FALSE in 0.5-0. You will still be able to use
‘loadSymbols’ to automatically load data. getOption("getSymbols.env")
and getOption("getSymbols.auto.assign") will still be checked for
alternate defaults.

This message is shown once per session and may be disabled by setting 
options("getSymbols.warning4.0"=FALSE). See ?getSymbols for details.


  warnings.warn(x, RRuntimeWarning)
/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: 
WARNING: There have been significant changes to Yahoo Finance data.
Please see the Warning section of ‘?getSymbols.yahoo’ for details.

This message is shown once per session and may be disabled by setting
options("getSymbols.yahoo.warning"=FALSE).

  warnings.warn(x, RRuntimeWarning)

[1] "data.frame"
           GOOG.Open GOOG.High GOOG.Low GOOG.Close GOOG.Volume GOOG.Adjusted
2007-01-03  231.4944  236.7899 229.0652   232.2842    15513200      232.2842
2007-01-04  232.9847  240.4114 232.6618   240.0686    15877700      240.0686
2007-01-05  239.6910  242.1749 237.5102   242.0209    13833500      242.0209
2007-01-08  242.2693  243.3522 239.5420   240.2276     9570600      240.2276
2007-01-09  241.1565  242.5475 239.0452   241.1814    10832700      241.1814
2007-01-10  240.6498  245.1803 239.4625   243.1486    12014600      243.1486


%%R
library(DT)
datatable(GOOG,filter="top")


import pandas as pd
goog = %Rget GOOG
goog = pd.DataFrame(goog)
goog.head()

/Users/srdas/anaconda3/lib/python3.7/site-packages/rpy2/robjects/pandas2ri.py:191: FutureWarning: from_items is deprecated. Please use DataFrame.from_dict(dict(items), ...) instead. DataFrame.from_dict(OrderedDict(items)) may be used to preserve the key order.
  res = PandasDataFrame.from_items(items)


# To save the data frame as html 
goog.to_html(open('my_file.html', 'w'))


html = goog.to_html().replace('<table','<table class="tableBoot" id="myTable"')
f = open('my_file.html', 'w')
f.write(html)
f.close()


import qgrid


qgrid.show_grid(goog, show_toolbar=True)

	GOOG.Open	GOOG.High	GOOG.Low	GOOG.Close	GOOG.Volume	GOOG.Adjusted
0	231.494354	236.789917	229.065155	232.284210	15513200.0	232.284210
1	232.984665	240.411362	232.661758	240.068588	15877700.0	240.068588
2	239.691040	242.174881	237.510223	242.020889	13833500.0	242.020889
3	242.269272	243.352234	239.542007	240.227554	9570600.0	240.227554
4	241.156509	242.547470	239.045242	241.181351	10832700.0	241.181351

INTERACTIVE WIDGETS IN PYTHON¶

ipywidgets¶

Using widgets for Black-Scholes option pricing¶

Datatables html widgets¶