Carpet Plots using Plotly in Python

Python | Geographical plotting using plotly

Last Updated : 26 Jun, 2018

Geographical plotting is used for world map as well as states under a country. Mainly used by data analysts to check the agriculture exports or to visualize such data.

plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.

cufflink connects plotly with pandas to create graphs and charts of dataframes directly. choropleth is used to describe geographical plotting of USA. choropleth is used in the plotting of world maps and many more.

Command to install plotly:

pip install plotly

Below is the implementation:

# Python program to plot  
# geographical data using plotly 
  
# importing all necessary libraries 
import plotly.plotly as py 
import plotly.graph_objs as go 
import pandas as pd 
  
# some more libraries to plot graph 
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot, plot 
  
# To establish connection 
init_notebook_mode(connected = True) 
  
  
# type defined is choropleth to 
# plot geographical plots 
data = dict(type = 'choropleth', 
  
            # location: Arizoana, California, Newyork 
            locations = ['AZ', 'CA', 'NY'], 
              
            # States of USA 
            locationmode = 'USA-states', 
              
            # colorscale can be added as per requirement 
            colorscale = 'Portland', 
              
            # text can be given anything you like 
            text = ['text 1', 'text 2', 'text 3'], 
            z = [1.0, 2.0, 3.0], 
            colorbar = {'title': 'Colorbar Title Goes Here'}) 
              
layout = dict(geo ={'scope': 'usa'}) 
  
# passing data dictionary as a list  
choromap = go.Figure(data = [data], layout = layout) 
  
# plotting graph 
iplot(choromap) 

Output:
map

Carpet Plots using Plotly in Python

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