Answer to Question #158810 in Python for talha shahid

Question

Consider the given dataset for data visualization using Tree Maps. Use Squarify Library and plotly Library to plot treemaps.

Dataset: https://www.kaggle.com/mathurinache/popularprogramminglanguage [Note: plot from column 2010 – 2019]

Answer 1

import plotly.express as px
import pandas as pd
vendors = ["A", "B", "C", "D", None, "E", "F", "G", "H", None]
sectors = ["Tech", "Tech", "Finance", "Finance", "Other",
           "Tech", "Tech", "Finance", "Finance", "Other"]
regions = ["North", "North", "North", "North", "North",
           "South", "South", "South", "South", "South"]
sales = [1, 3, 2, 4, 1, 2, 2, 1, 4, 1]
df = pd.DataFrame(
    dict(vendors=vendors, sectors=sectors, regions=regions, sales=sales)
)
df["all"] = "all" # in order to have a single root node
print(df)
fig = px.treemap(df, path=['all', 'regions', 'sectors', 'vendors'], values='sales')
fig.show()