How to Create a 2D graph in python using Plotly Express
How to Create a 2D graph in python using Plotly Express
This tutorial is going to show you how to create a 2d graph in python using the plotly express library. Let’s dive in.
Step 1: Install Plotly Express in Python, Anaconda, and Visual Studio Code.
Step 2: Import plotly express and pandas.
After installing the plotly express library, you import it into your notebook and also import pandas. Pandas will be used to load and read the dataset while plotly express is used to create the 3d graph.
Step 3: Load the dataset that you want to plot.
You use pandas read csv function to load the csv file and read it. Then store this loaded dataset to a variable (alcohol in this code below).
Step 4: Verify that the data is loaded correctly.
This is the code to view the first 5 rows of the dataset and this is what the first 5 sections of the dataset looks like.
Step 5: This is how to create a 2d scatter plot with python and plotly express.
- alcohol(dataframe) is the first parameter you put in for a plotly express graph. The dataset you are graphing is always the initial parameter.
- X = the data that goes on the X-axis
- Y = the data that goes on the Y-axis
This is an example of what a scatter 2d graph might look like when you are done.
This is how to create a line graph with python and plotly express.
This is an example of what a line 2d graph might look like when you are done.
This is how to create a 2d bar graph with python and plotly express.
This is an example of what a 2D bar graph might look like when you are done.
You can add other parameters to your 2d graph like color, size, title, etc to access other features.
To learn more about 2d graphing using plotly express, go here to read the documentation
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