The square attribute in sns.heatmap works in weird manner. When I plot a heatmap using random numbers and use the square attribute, it works fine.
When I plot the heatmap with my matrix, it creates the heatmap properly.
However, when I use the square attribute, the plot becomes a tiny square.
I can't figure out what is going wrong over here.
Well, square=True means: "show all cells as squares". The only way to fit 7x560 squares into the plot region is reducing the height by a factor of about 80. In other words: it is strongly recommended to use square=False for data that has such a large difference between horizontal and vertical directions. Seaborn isn't doing anything wrong here, it just gives you want you asked for.
If you want the heatmap to be square (instead of the cells), you can use ax = sns.heatmap(data, square=False) and then ax.set_aspect(data.shape[1] / data.shape[0]).
Here is an example:
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
data = np.random.randn(7, 560).cumsum(axis=1).cumsum(axis=0)
data -= data.min(axis=1, keepdims=True)
data /= data.max(axis=1, keepdims=True)
ax = sns.heatmap(data, cmap='turbo', cbar=True, xticklabels=50,
yticklabels=['Grumpy', 'Dopey', 'Doc', 'Happy', 'Bashful', 'Sneezy', 'Sleepy'])
ax.set_aspect(data.shape[1] / data.shape[0])
ax.tick_params(labelrotation=0)
plt.tight_layout()
plt.show()
