Is it possible to adjust the size of squares (cells) in Seaborn heatmap?-CodePudding

Suppose I have a heatmap plot like this:

Using this data:

import numpy as np
import pandas as pd


arr = np.array([[ 2,  2,  2,  8,  7,  7,  6,  5,  2,  7,  7,  8,  7,  5,  6,  6,  6],
       [ 8,  7,  5,  4,  4,  3,  9,  6,  7,  4,  3,  2,  8,  9,  3,  3,  3],
       [ 1,  3,  2,  2,  2,  3,  5,  3,  3,  2,  3,  3,  4,  1, 10, 10, 10],
       [ 3,  2,  4,  1,  1,  1,  2,  2,  1,  1,  1,  1,  2,  1,  9,  9,  9],
       [ 7,  6,  7,  6,  6,  6,  2,  2,  5,  6,  5,  4,  7,  9,  9,  9,  9],
       [ 6,  7,  8,  4,  3,  4,  4,  8,  7,  3,  4,  5,  6,  3,  4,  4,  4],
       [ 3,  1,  1,  9,  9,  9,  3,  1,  8,  9,  9,  9,  1,  6,  1,  1,  1],
       [ 3,  3,  3,  5,  5,  5,  5,  1,  2,  5,  6,  5, 10,  8,  8,  8,  8],
       [ 1,  1,  1,  2,  3,  2,  7,  3,  1,  3,  2,  2, 10,  8,  7,  7,  7],
       [ 5,  5,  2,  2,  2,  1,  1,  3,  3,  2,  1,  1,  5,  2,  7,  7,  7],
       [ 7,  9, 10,  3,  4,  4,  8,  9,  9,  3,  4,  6,  2,  3,  2,  2,  2],
       [ 5,  6,  7,  3,  3,  3,  3,  1,  4,  4,  3,  4,  9, 10,  2,  2,  2],
       [ 4,  4,  3,  4,  4,  4,  3,  4,  3,  4,  4,  3,  2,  7, 10, 10, 10],
       [ 2,  1,  1,  8,  8,  8,  1,  4,  2,  8,  8,  8,  4,  1,  5,  5,  5],
       [ 9,  9,  8,  8,  8,  8,  5,  6,  8,  8,  8,  5,  1,  5,  2,  2,  2],
       [ 5,  5,  5,  5,  5,  5,  4,  2,  1,  5,  5,  4,  6,  5,  5,  5,  5],
       [ 8,  8,  9, 10, 10, 10,  6,  7,  6, 10, 10, 10,  3,  7,  4,  4,  4],
       [ 9,  8, 10,  5,  7,  7, 10, 10,  9,  6,  5,  6,  5,  6,  3,  3,  3],
       [10,  9,  9,  7,  6,  5, 10, 10,  9,  8,  7,  8,  3, 10,  8,  8,  8],
       [10, 10,  8, 10, 10, 10,  2,  5, 10, 10, 10,  9,  7,  9,  3,  3,  3],
       [ 4,  4,  5,  3,  2,  2,  9,  8,  4,  2,  2,  3,  4,  4,  5,  5,  5],
       [ 4,  4,  4,  7,  5,  6,  4,  4,  4,  5,  6,  7, 10,  2,  8,  8,  8],
       [ 7,  8,  6,  6,  8,  8,  7,  9,  8,  7,  8,  7,  9,  8,  6,  6,  6],
       [ 8,  7,  7,  7,  7,  7,  8,  9,  5,  7,  7,  7,  5,  7,  1,  1,  1],
       [ 1,  2,  3,  1,  1,  1,  9,  7,  7,  1,  1,  1,  9,  3,  4,  4,  4],
       [ 2,  5,  6,  1,  1,  2,  7,  5,  6,  1,  2,  2,  8,  4,  1,  1,  1],
       [10, 10,  9, 10, 10, 10, 10, 10, 10, 10, 10, 10,  3, 10,  7,  7,  7],
       [ 6,  3,  4,  9,  9,  9,  8,  7,  5,  9,  9, 10,  1,  2, 10, 10, 10],
       [ 9, 10, 10,  9,  9,  9,  1,  8, 10,  9,  9,  9,  8,  4,  9,  9,   9]])

columns = ["feature1", "feature2", "feature3", "feature4", "feature5", "feature6", "feature7", "feature8", "feature9", "feature10", "feature11", "feature12", "feature13", "feature14", "feature15", "feature16", "feature17"]

indexes = ['AAPL', 'AMGN', 'AXP', 'BA', 'CAT', 'CRM', 'CSCO', 'CVX', 'DIS', 'GS',
       'HD', 'HON', 'IBM', 'INTC', 'JNJ', 'JPM', 'KO', 'MCD', 'MMM', 'MRK',
       'MSFT', 'NKE', 'PG', 'TRV', 'UNH', 'V', 'VZ', 'WBA', 'WMT']

df = pd.DataFrame(arr, columns=columns, index=indexes)

Using this code:

import seaborn as sns
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(10,10), dpi=600)
a = sns.heatmap(df, annot=True, cmap="RdBu_r", square=True, ax=ax)
plt.show()

I want to adjust each cell's size based on its value! I mean, the square cells with the value of 1 should be smaller than those with higher values!
Example:

Note that this example is not strictly related to the values of the previous heatmap plot! I just provided an example to show what I mean by adjusting each square cell size based on its value.

CodePudding user response：

This is something you can accomplish with scatterplot or relplot:

flights = sns.load_dataset("flights")
g = sns.relplot(
    data=flights,
    x="year", y="month", size="passengers", hue="passengers",
    marker="s", sizes=(40, 400), palette="blend:b,r",
)

CodePudding user response：

(This post elaborates on @mwaskom's excellent solution, adapted to the given dataframe.)

For most seaborn functions, it helps to have the dataframe in