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Candlestick Charts in Python

How to make interactive candlestick charts in Python with Plotly. Six examples of candlestick charts with Pandas, time series, and yahoo finance data.

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Version Check

Plotly's Python API is updated frequently. Run pip install plotly --upgrade to update your Plotly version.

In [2]:
import plotly
plotly.__version__
Out[2]:
'2.4.1'

Simple Candlestick with Pandas

In [3]:
import plotly.plotly as py
import plotly.graph_objs as go

import pandas_datareader as web
from datetime import datetime

df = web.DataReader("aapl", 'morningstar').reset_index()

trace = go.Candlestick(x=df.Date,
                       open=df.Open,
                       high=df.High,
                       low=df.Low,
                       close=df.Close)
data = [trace]
py.iplot(data, filename='simple_candlestick')
Out[3]:

Candlestick without Rangeslider

In [8]:
import plotly.plotly as py
import plotly.graph_objs as go

import pandas_datareader as web
from datetime import datetime

df = web.DataReader("aapl", 'morningstar').reset_index()

trace = go.Candlestick(x=df.Date,
                       open=df.Open,
                       high=df.High,
                       low=df.Low,
                       close=df.Close)

layout = go.Layout(
    xaxis = dict(
        rangeslider = dict(
            visible = False
        )
    )
)

data = [trace]

fig = go.Figure(data=data,layout=layout)
py.iplot(fig, filename='simple_candlestick')
Out[8]:

Adding Customized Text and Annotations

In [5]:
import plotly.plotly as py
import plotly.graph_objs as go

import pandas_datareader as web
from datetime import datetime

df = web.DataReader("aapl", 'morningstar').reset_index()

trace = go.Candlestick(x=df.Date,
                       open=df.Open,
                       high=df.High,
                       low=df.Low,
                       close=df.Close)
data = [trace]
layout = {
    'title': 'The Great Recession',
    'yaxis': {'title': 'AAPL Stock'},
    'shapes': [{
        'x0': '2016-12-09', 'x1': '2016-12-09',
        'y0': 0, 'y1': 1, 'xref': 'x', 'yref': 'paper',
        'line': {'color': 'rgb(30,30,30)', 'width': 1}
    }],
    'annotations': [{
        'x': '2016-12-09', 'y': 0.05, 'xref': 'x', 'yref': 'paper',
        'showarrow': False, 'xanchor': 'left',
        'text': 'Increase Period Begins'
    }]
}
fig = dict(data=data, layout=layout)
py.iplot(fig, filename='aapl-recession-candlestick')
Out[5]:

Custom Candlestick Colors

In [6]:
import plotly.plotly as py
import plotly.graph_objs as go

import pandas_datareader as web
from datetime import datetime

df = web.DataReader("aapl", 'morningstar').reset_index()

trace = go.Candlestick(x=df.Date,
                       open=df.Open,
                       high=df.High,
                       low=df.Low,
                       close=df.Close,
                       increasing=dict(line=dict(color= '#17BECF')),
                       decreasing=dict(line=dict(color= '#7F7F7F')))
data = [trace]
py.iplot(data, filename='styled_candlestick')
Out[6]:

Simple Example with datetime Objects

In [7]:
import plotly.plotly as py
import plotly.graph_objs as go

from datetime import datetime

open_data = [33.0, 33.3, 33.5, 33.0, 34.1]
high_data = [33.1, 33.3, 33.6, 33.2, 34.8]
low_data = [32.7, 32.7, 32.8, 32.6, 32.8]
close_data = [33.0, 32.9, 33.3, 33.1, 33.1]
dates = [datetime(year=2013, month=10, day=10),
         datetime(year=2013, month=11, day=10),
         datetime(year=2013, month=12, day=10),
         datetime(year=2014, month=1, day=10),
         datetime(year=2014, month=2, day=10)]

trace = go.Candlestick(x=dates,
                       open=open_data,
                       high=high_data,
                       low=low_data,
                       close=close_data)
data = [trace]
py.iplot(data, filename='candlestick_datetime')
Out[7]:

Reference

For more information on candlestick attributes, see: https://plot.ly/python/reference/#candlestick

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