Plotly.Graph_objects.Ohlc

“Open, Hight, Low, and Close or OHLC charts are types of financial chars used to describe the open, high, low, and close values for a given variable. OHLC charts use tips of the lines to represent low and high values, while the horizontal segments denote the open and close values.”

Let us discuss how we can use the Plotly graph_objects module to create OHLC charts.

Simple OHLC Chart

To illustrate how to create an OHLC chart, we will use the Plotly finance dataset in the resource below:

https://github.com/plotly/datasets/blob/master/finance-charts-apple.csv

We can then run the code as shown:

import plotly.graph_objects as go
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
fig = go.Figure(data=go.Ohlc(
x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close']
))
fig.show()

The code above should use the provided dataset to create an OHLC chart. The resulting figure is as shown:

You can use the Rangeslider to choose a specific date range.

To hide the Range slider, you can run the code as:

fig.update_layout(xaxis_rangeslider_visible=False)

This should return the OHLC Figure without the Range Slider as shown:

You can also set custom colors for increasing and decreasing points, as shown in the code below:

import plotly.graph_objects as go
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/ finance-charts-apple.csv')
fig = go.Figure(data=go.Ohlc(
x=df['Date'],
open=df['AAPL.Open'],
high=df['AAPL.High'],
low=df['AAPL.Low'],
close=df['AAPL.Close'],
increasing_line_color='blue', decreasing_line_color='red'
))
fig.update_layout(xaxis_rangeslider_visible=False)

The resulting figure is depicted below:

Closing

In this article, we covered the basics of creating OHLC Charts using the Plotly graph_objects package. Explore the docs for more.

Plotly.Graph_objects.Ohlc

Simple OHLC Chart

Closing

About the author

John Otieno