plotly.figure_factory.create_2d_density() function in Python

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Plotly library of Python can be very useful for data visualization and understanding the data simply and easily.

Plotly.figure_factory.create_2d_density

This function is used to create 2d density.

Syntax: plotly.figure_factory.create_2d_density(x, y, colorscale=’Earth’, ncontours=20, hist_color=(0, 0, 0.5), point_color=(0, 0, 0.5), point_size=2, title=’2D Density Plot’, height=600, width=600)

Parameters:

x: x-axis data for plot generation

y: y-axis data for plot generation

colorscale: An rgb or hex color, a color tuple or a list or tuple of colors.

hist_color: the color of the plotted histograms

point_color: the color of the scatter points

point_size: the color of the scatter points

title: set the title for the plot

height: the height of the chart

width: the width of the chart

Example 1:

Python3

from plotly.figure_factory import create_2d_density 
import numpy as np 
  
  
t = np.linspace(-1,1.2,2000) 
x = (t**3)+(0.3*np.random.randn(2000)) 
y = (t**6)+(0.3*np.random.randn(2000)) 
  
fig = create_2d_density(x, y) 
fig.show()

Output:

2D density plot

Example 2:

Python3

from plotly.figure_factory import create_2d_density 
import numpy as np 
  
  
# Make data points 
t = np.linspace(-1,1.2,2000) 
x = (t**3)+(0.3*np.random.randn(2000)) 
y = (t**6)+(0.3*np.random.randn(2000)) 
  
# Create custom colorscale 
colorscale = ['#7A4579', '#D56073', 'rgb(236,158,105)', 
             (1, 1, 0.2), (0.98,0.98,0.98)] 
  
# Create a figure 
fig = create_2d_density(x, y, colorscale=colorscale, 
      hist_color='rgb(255, 237, 222)', point_size=3) 
  
# Plot the data 
fig.show()