Heatmap with Categorical value as label

First off, an np.array needs all elements to be of the same type. As your array also contains strings, this will be made the common type. So, best not to have the array as a np.array, or use a separate array for the strings.

As your data seem to be x,y positions, it makes sense to use them as a coordinate in a scatter plot. You can color the x,y position depending on the Yes/Maybe/No value, for example assigning green/yellow/red to them. Additionally, you could add a text, as you have very few data. With more data, you'd better create a legend to connect labels with their coloring.

from matplotlib import pyplot as plt
import numpy as np

data = [['Yes', 'No', 'No', 'Maybe', 'Yes', 'Yes', 'Yes'],
        [0.21, 0.62, 0.56, 0.48, 0.32, 0.71, 0.01],
        [1.1053, 1.5412, 1.4333, 1.1433, 1.1098, 1.1003, 1.2032]]

answer_to_color = {'Yes': 'limegreen', 'Maybe': 'gold', 'No': 'crimson'}
colors = [answer_to_color[ans] for ans in data[0]]
plt.scatter(data[1], data[2], c=colors, s=500, ls='-', edgecolors='black')

for label, x, y in zip(data[0], data[1], data[2]):
    plt.text(x+0.01, y+0.03, label)
plt.show()

To use your column names to label the graph, you could add:

plt.title('Decision')
plt.xlabel('Percentage')
plt.ylabel('Salary multiplier')