# Using Jupyter Notebook and Plot.ly To Create Candle Stick Chart

In today’s post I show how you can plot a very nice looking Candlestick chart inside a Jupyter (IPython) notebook. This chore is
made much easier by using  Plotly. So first thing you sholud do is sign up for a free account at Plotly and then download Jupyter Interactive Python notebooks.  I did this in an interactive notebook for demonstration purposes only.  After installing Plotly I was able to import the libraries into my notebook and then call the various functions to graph the data.  I imported numpy, but it wasn’t necessary.  I simply copied some data (CL.CSV) to the subdirectory that held my notebooks and then used the CSV Reader to pull the data into the various lists that the Plotly functions required.  All of the plotting is done in a browser and its interactive.  After creating the PSB I wanted to provide a tool for plotting the data that was being tested.  Jupyter and Plotly are free for non-commercial users.

``````import numpy as np
import datetime
import csv
import plotly.plotly as py
from plotly.tools import FigureFactory as FF
from plotly.graph_objs import *

d = list()
dt = list()
o = list()
h = list()
l = list()
c = list()
v = list()
oi = list()
cnt = 0

with open("CL.CSV") as f:
for row in f_csv:
numCols = len(row)
cnt += 1
d.append(int(row[0]))
dt.append(datetime.datetime.strptime(row[0],'%Y%m%d'))
o.append(float(row[1]))
h.append(float(row[2]))
l.append(float(row[3]))
c.append(float(row[4]))
v.append(float(row[5]))
oi.append(float(row[6]))

xDate = list()
yVal = list()
indicCnt = 0
for i in range(len(c)-40,len(c)):
xDate.append(dt[i])
sum = 0.0
for j in range(i-9,i):
sum += c[j]
yVal.append(sum/10)

fig = FF.create_candlestick(o, h,l, c, dt)

x=xDate,
y=yVal,
name= 'movingAverage',
line=Line(color='blue')
)

py.iplot(fig, filename='simple-candlestick', validate=False)``````
Candlesticks with Plot.ly