Plotly Python is a library which helps in data visualisation in an interactive manner. But you might be wondering why do we need Plotly when we already have matplotlib which does the same thing. Plotly was created to make data more meaningful by having interactive charts and plots which could be created online as well. The fact that we could visualise data online removed a lot of hurdles which are associated with the offline usage of a library. However, Plotly can be used as both, an offline as well as online tool, thus giving us the best of both worlds.
How to install Plotly in Python
The great thing about Python is we can easily install most of the packages using the “pip” command. Thus, the Python code is as follows:
pip install plotly
You can use it in the Anaconda terminal as shown below:
If you want to check the version of plotly installed, you can use the following command
pip show plotly
You will find the output as shown below:
Initially we will use Yahoo finance to download the OHLC data of Tesla from 1st February 2020 to 3 March 2020.
The Python code for importing the libraries as well as the OHLC data is as follows
# Importing libraries
import yfinance as yf
import plotly as py
import plotly.graph_objects as go
import pandas as pd
# Import Tesla data
tesla = yf.download(‘TSLA’,’2020-02-01′, ‘2020-03-03’)
The Python code for plotting the OHLC data is given below:
fig = go.Figure(data=go.Ohlc(x=tesla.index, open=tesla.Open, high=tesla.High, low=tesla.Low, close=tesla.Close))
You can see the OHLC data plotted as follows:
To interact with the Chart and download the code, visit QuantInsti: https://blog.quantinsti.com/plotly-python/.
To edit the chart Plotly code, visit https://chart-studio.plot.ly/create/?fid=Quantra_Content:1#/
Disclosure: Interactive Brokers
Information posted on IBKR Traders’ Insight that is provided by third-parties and not by Interactive Brokers does NOT constitute a recommendation by Interactive Brokers that you should contract for the services of that third party. Third-party participants who contribute to IBKR Traders’ Insight are independent of Interactive Brokers and Interactive Brokers does not make any representations or warranties concerning the services offered, their past or future performance, or the accuracy of the information provided by the third party. Past performance is no guarantee of future results.
This material is from QuantInsti and is being posted with permission from QuantInsti. The views expressed in this material are solely those of the author and/or QuantInsti and IBKR is not endorsing or recommending any investment or trading discussed in the material. This material is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security. To the extent that this material discusses general market activity, industry or sector trends or other broad based economic or political conditions, it should not be construed as research or investment advice. To the extent that it includes references to specific securities, commodities, currencies, or other instruments, those references do not constitute a recommendation to buy, sell or hold such security. This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.