How to make a basic Scatterplot using Plotly and Python ?
Let’s start with making a very basic plot known as Scatterplot. Scatterplot helps in finding the relationship between two variables . It tells us whether the two variables are positively related, negatively related or not related at all.
Example:
Python3
import plotly.offline as pyo import plotly.graph_objs as go import numpy as np # creating random data through randomint # function of numpy.random np.random.seed(42) random_x= np.random.randint(1,101,100) random_y= np.random.randint(1,101,100) # create variable data which holds the data data=[go.Scatter(x=random_x, y=random_y, mode='markers', marker= dict(size= 12, color= 'rgb(51,204,153)', symbol= 'pentagon', line= {'width':2} ) )] # create layout of scatter plot layout=go.Layout(title='Random Scatter Plot', xaxis= {'title':'X-AXIS'} , yaxis= dict(title='Y-AXIS'), hovermode= 'closest' ) # create figure variable to pass the # data and Layout fig= go.Figure(data=data , layout=layout) # call plot function using plotly offline pyo.plot(fig, filename='scatterplot-1.html') |
Output :-
Note: Last line of code will generate a file named scatterplot-1.html . Then open this file in your web browser . You will see the same output there.
How to make a basic Scatterplot using Python-Plotly?
Plotly is a graphing library for making high quality interactive graphs and charts. It is an open source library used for data visualization . This library can be used with three programming languages namely Python, R and Javascript. Using Plotly is very easy and you can make any type of graph using this library. It can generate Statistical charts, financial charts, Scientific charts, maps , 3D charts, subplots, etc.
But there are many other libraries like seaborn , matplotlib, bokeh available for data visualization. Then, why to choose Plotly?
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