I am working on a plot which looks like this so far:
And I am using the following code:
import matplotlib.pyplot as plt
import numpy as np
column_labels = ['A','B']
row_labels = ['A','B']
data = np.random.rand(2,2)
print(type(data))
data = np.array([[1, 0.232], [0.119, 1]])
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)
# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)
ax.set_yticks(np.arange(data.shape[1])+0.5, minor=False)
# want a more natural, table-like display
ax.invert_yaxis()
ax.xaxis.tick_top()
ax.set_xticklabels(row_labels, minor=False)
ax.set_yticklabels(column_labels, minor=False)
plt.show()
What I am trying to get is something like this one:
Where I can see the color bar as well as value of the cells on them. What would I need to add to my code to get these?
Thanks
Have you looked into seaborn?
import seaborn as sns
data = np.random.rand(2,2)
sns.heatmap(data, annot=True, linewidths=.5)