Stacked bar Example

Here shows how to draw stacked bar plot

import numpy as np
import pandas as pd

import milkviz as mv

First let’s create some random data

data = pd.DataFrame(data=[["iPhone 12", "64G", 2200],
                          ["iPhone 12", "128G", 1200],
                          ["iPhone 12", "256G", 600],
                          ["iPhone 11", "64G", 1800],
                          ["iPhone 11", "128G", 1100],
                          ["iPhone 11", "256G", 700],
                          ["iPhone X", "64G", 3200],
                          ["iPhone X", "128G", 1200],
                          ["iPhone X", "256G", 600], ],
                    columns=['product', 'storage', 'sales'])
data

	product	storage	sales
0	iPhone 12	64G	2200
1	iPhone 12	128G	1200
2	iPhone 12	256G	600
3	iPhone 11	64G	1800
4	iPhone 11	128G	1100
5	iPhone 11	256G	700
6	iPhone X	64G	3200
7	iPhone X	128G	1200
8	iPhone X	256G	600

Create the stacked_bar

mv.stacked_bar(data, group="storage", value="sales", stacked="product",
               show_values=True)

<AxesSubplot: xlabel='storage', ylabel='sales'>

Normalize the data to 1

mv.stacked_bar(data, group="storage", value="sales", stacked="product",
               percentage=True)

<AxesSubplot: xlabel='storage', ylabel='Percentage (%)'>