Python

Plotly.Graph_objects.candlestick

β€œIn this article, we will explore how to create candlestick plots using the plotly graph_objects module. Candlestick plots or OHLC are types of plots used to visualize open, high, low, and close values for a given parameter.”

Check out our tutorial on Plotly OHLC plots to learn more.

Simple Candlestick Chart Using graph_objects

Let us illustrate how we can create a simple candlestick chart. For this example, we will use the EUR/USD data from Yahoo Finance.

Check the resource below to learn more.

https://finance.yahoo.com/quote/EURUSD%3DX/history?p=EURUSD%3DX

The code is provided below:

import plotly.graph_objects as go
import pandas as pd
df = pd.read_csv('EURUSD.csv')
fig = go.Figure(
    data=go.Candlestick(
        x=df['Date'],
        open=df['Open'],
        high=df['High'],
        low=df['Low'],
        close=df['Close']
    )
)
fig.show()

In the example above, we use the pandas package to load the downloaded CSV into a DataFrame.

We then use the graph_objects.Figure and graph_objects.Candlestick() function to create a candlestick plot of the data.

The resulting plot is as shown:

You can use the RangeSlider provided at the bottom of the plot to navigate over a specific date range.

Candlestick Disable RangeSlider

To disable the range slider for the candlestick, you can use the update_layout() function as shown:

import plotly.graph_objects as go
import pandas as pd
df = pd.read_csv('EURUSD.csv')
fig = go.Figure(
    data=go.Candlestick(
        x=df['Date'],
        open=df['Open'],
        high=df['High'],
        low=df['Low'],
        close=df['Close']
    )
)
fig.update_layout(xaxis_rangeslider_visible=False)

The code above should return the candlestick plot without the rangeslider included.

Setting Custom Candlestick Colors

You can also set custom candlestick colors for both rise and drop lines using the increasing_line_color and decreasing_line_color parameters, respectively.

Example:

import plotly.graph_objects as go
import pandas as pd
df = pd.read_csv('EURUSD.csv')
fig = go.Figure(
    data=go.Candlestick(
        x=df['Date'],
        open=df['Open'],
        high=df['High'],
        low=df['Low'],
        close=df['Close'],
        increasing_line_color='darkblue',
        decreasing_line_color='darkred'
    )
)
fig.show()

The code above will return a candlestick figure with custom colors as shown:

Conclusion

This article shows you how you can create candlestick charts using the Plotly graph_objects module.

Happy coding!!

About the author

John Otieno

My name is John and am a fellow geek like you. I am passionate about all things computers from Hardware, Operating systems to Programming. My dream is to share my knowledge with the world and help out fellow geeks. Follow my content by subscribing to LinuxHint mailing list